CxxWorkspace

class pyarts.arts.CxxWorkspace(*args, **kwargs)

The core ARTS Workspace

Overview

Method	`Ignore()`	Ignore a workspace variable.
Method	`OEM()`	Inversion by the so called optimal estimation method (OEM).
Method	`ReadCatalogData()`	Reads split catalog data from a folder structure similar to `arts-cat-data`
Method	`ReadXML()`	Reads a workspace variable from an XML file.
Method	`ReadXMLIndexed()`	As `ReadXML()`, but reads indexed file names.
Method	`RetrievalAddAtmosphere()`	Sets an atmospheric target
Method	`RetrievalAddMagneticField()`	Set magnetic field derivative
Method	`RetrievalAddPressure()`	Set pressure derivative
Method	`RetrievalAddSensorFrequencyPolyFit()`	Set sensor frequency derivative to use polynomial fitting offset
Method	`RetrievalAddSpeciesIsotopologueRatio()`	Set isotopologue ratio derivative
Method	`RetrievalAddSpeciesVMR()`	Set volume mixing ratio derivative
Method	`RetrievalAddSurface()`	Sets a surface target
Method	`RetrievalAddTemperature()`	Set temperature derivative
Method	`RetrievalAddWindField()`	Set wind field derivative
Method	`RetrievalFinalizeDiagonal()`	Finalize the retrieval setup.
Method	`RetrievalInit()`	Initialize the retrieval setup.
Method	`SpectralFluxDisort()`	Integrate Disort spectral radiance.
Method	`Touch()`	As `Ignore()` but for agenda output.
Method	`UpdateModelStates()`	Update state of the model in preparation for a forward model run
Method	`WignerInit()`	Initialize the Wigner tables
Method	`WignerUnload()`	Unloads the Wigner tables from static data (see `WignerInit()`)
Method	`WriteBuiltinPartitionFunctionsXML()`	Writes all the builtin partition functions to file.
Method	`WriteXML()`	Writes a workspace variable to an XML file.
Method	`WriteXMLIndexed()`	As `WriteXML()`, but creates indexed file names.
Method	`abs_lines_per_speciesReadSpeciesSplitCatalog()`	Reads old style catalog but only for `absorption_species`
Method	`absorption_bandsFromAbsorbtionLines()`	Gets modern line catalog from old style
Method	`absorption_bandsFromModelState()`	Sets `absorption_bands` to the state of the model.
Method	`absorption_bandsKeepID()`	Keeps first band of ID
Method	`absorption_bandsLineMixingAdaptation()`	Adapts select band to use ordered Line mixing coefficients.
Method	`absorption_bandsReadHITRAN()`	Reads HITRAN data from a file.
Method	`absorption_bandsReadSpeciesSplitCatalog()`	Saves all bands fin `absorption_bands` to a directory
Method	`absorption_bandsReadSplit()`	Saves all bands fin `absorption_bands` to a directory
Method	`absorption_bandsRemoveID()`	Remove first band of with a matching ID
Method	`absorption_bandsSaveSplit()`	Saves all bands fin `absorption_bands` to a directory
Method	`absorption_bandsSelectFrequency()`	Remove all lines/bands that strictly falls outside a frequency range
Method	`absorption_bandsSetZeeman()`	Set the Zeeman splitting for lines within the frequency range
Method	`absorption_cia_dataAddCIARecord()`	Takes CIARecord as input and appends the results in the appropriate place.
Method	`absorption_cia_dataReadFromCIA()`	Read data from a CIA data file for all CIA molecules defined
Method	`absorption_cia_dataReadFromXML()`	Read data from a CIA XML file and check that all CIA tags defined
Method	`absorption_cia_dataReadSpeciesSplitCatalog()`	Reads a species split CIA dataset.
Method	`absorption_lookup_tableCalc()`	Get `absorption_lookup_table` from available data.
Method	`absorption_lookup_tableFromProfiles()`	Compute the lookup table for all species in `absorption_bands`.
Method	`absorption_lookup_tableInit()`	Initialize an empty lookup table.
Method	`absorption_lookup_tablePrecompute()`	Precompute the lookup table for a single species, adding it to the map.
Method	`absorption_lookup_tablePrecomputeAll()`	Compute the lookup table for all species in `absorption_bands`.
Method	`absorption_lookup_tableSimpleWide()`	Set up a simple wide lookup table for all species in `absorption_bands`.
Method	`absorption_predefined_model_dataAddWaterMTCKD400()`	Sets the data for MT CKD 4.0 Water model
Method	`absorption_predefined_model_dataInit()`	Initialize the predefined model data
Method	`absorption_predefined_model_dataReadSpeciesSplitCatalog()`	Reads `absorption_predefined_model_data` catalog but only for `absorption_species`
Method	`absorption_speciesDefineAll()`	Sets `absorption_species` [i][0] to all species in ARTS
Method	`absorption_speciesSet()`	Set up a list of absorption species tag groups.
Method	`absorption_xsec_fit_dataReadSpeciesSplitCatalog()`	Reads HITRAN Crosssection coefficients
Method	`atmospheric_fieldAppendAbsorptionData()`	Append data to the atmospheric field based all absorption data
Method	`atmospheric_fieldAppendBaseData()`	Append base data to the atmospheric field
Method	`atmospheric_fieldAppendCIASpeciesData()`	Append species data to the atmospheric field based on collision-induced data data
Method	`atmospheric_fieldAppendLineIsotopologueData()`	Append isotopologue data to the atmospheric field based on line data
Method	`atmospheric_fieldAppendLineLevelData()`	Append NLTE data to the atmospheric field based on line data
Method	`atmospheric_fieldAppendLineSpeciesData()`	Append species data to the atmospheric field based on line data
Method	`atmospheric_fieldAppendPredefSpeciesData()`	Append species data to the atmospheric field based on predefined model data
Method	`atmospheric_fieldAppendTagsSpeciesData()`	Append species data to the atmospheric field based on species data
Method	`atmospheric_fieldAppendXsecSpeciesData()`	Append species data to the atmospheric field based on cross-section data
Method	`atmospheric_fieldFromModelState()`	Sets `atmospheric_field` to the state of the model.
Method	`atmospheric_fieldHydrostaticPressure()`	Add the hydrostatic pressure to the atmospheric field
Method	`atmospheric_fieldIGRF()`	Use IGRF to compute the magnetic field at each point.
Method	`atmospheric_fieldInit()`	Initialize the atmospheric field with some altitude and isotopologue ratios
Method	`atmospheric_fieldRead()`	Reads absorption file from a directory
Method	`atmospheric_fieldRegrid()`	Regrid the input atmospheric field parameter to a new grid.
Method	`atmospheric_fieldRegridAll()`	Regrid all parameters of the input atmospheric field to a new grid
Method	`atmospheric_pointInit()`	Initialize an atmospheric point with some isotopologue ratios
Method	`disort_settingsCosmicMicrowaveBackgroundRadiation()`	Space radiation into Disort is isotropic cosmic background radiation.
Method	`disort_settingsInit()`	Perform Disort calculations for spectral flux.
Method	`disort_settingsLayerThermalEmissionLinearInTau()`	Use a source function that changes linearly in optical thickness.
Method	`disort_settingsNoFractionalScattering()`	Turns off fractional scattering in Disort calculations.
Method	`disort_settingsNoLayerThermalEmission()`	Turns off source radiation in Disort calculations.
Method	`disort_settingsNoLegendre()`	Turns off Legendre coefficients in Disort calculations.
Method	`disort_settingsNoSingleScatteringAlbedo()`	Turns off single albedo scattering in Disort calculations.
Method	`disort_settingsNoSpaceEmission()`	Turns off boundary condition from space for Disort calculations.
Method	`disort_settingsNoSun()`	Turns off solar radiation in Disort calculations.
Method	`disort_settingsNoSurfaceEmission()`	Turns boundary condition from surface for Disort calculations.
Method	`disort_settingsNoSurfaceScattering()`	Turns off BDRF in Disort calculations.
Method	`disort_settingsOpticalThicknessFromPath()`	Get optical thickness from path.
Method	`disort_settingsSetSun()`	Uses Set the FOV to the sun input for Disort calculations.
Method	`disort_settingsSurfaceEmissionByTemperature()`	Surface radiation into Disort is isotropic from surface temperature.
Method	`disort_settingsSurfaceLambertian()`	Turns off BDRF in Disort calculations.
Method	`disort_settings_agendaExecute()`	Executes `disort_settings_agenda`, see it for more details
Method	`disort_settings_agendaSet()`	Sets `disort_settings_agenda`
Method	`disort_spectral_flux_fieldCalc()`	Perform Disort calculations for spectral flux.
Method	`disort_spectral_flux_fieldFromAgenda()`	Use Disort for clearsky calculations of spectral flux field
Method	`disort_spectral_flux_fieldSunlessClearsky()`	Use Disort for clearsky calculations of spectral flux field
Method	`disort_spectral_radiance_fieldCalc()`	Perform Disort calculations for spectral radiance.
Method	`disort_spectral_radiance_fieldFromAgenda()`	Use the disort settings agenda to calculate spectral radiance
Method	`disort_spectral_radiance_fieldSunlessClearsky()`	Use Disort for clearsky calculations of spectral flux field
Method	`ecs_dataAddMakarov2020()`	Sets the O2-66 microwave band data for ECS.
Method	`ecs_dataAddMeanAir()`	Sets ECS data for air from other data if available.
Method	`ecs_dataAddRodrigues1997()`	Sets the CO2-626, CO2-628, and CO2-636 band data for ECS.
Method	`ecs_dataAddTran2011()`	Sets the CO2-626, CO2-628, and CO2-636 band data for ECS.
Method	`ecs_dataInit()`	Resets/initializes the ECS data.
Method	`frequency_gridWindShift()`	Applies wind shift to the `frequency_grid` for the local frequency grid.
Method	`get()`	Gets the value of the variable with the given name.
Method	`gravity_operatorCentralMass()`	Sets a gravity operator from the gravitational constant and the mass of the planet
Method	`has()`	Checks if the workspace contains the variable.
Method	`init()`	Overloaded function.
Method	`inversion_iterate_agendaExecute()`	Executes `inversion_iterate_agenda`, see it for more details
Method	`jacobian_targetsAddAtmosphere()`	Sets an atmospheric target
Method	`jacobian_targetsAddMagneticField()`	Set magnetic field derivative
Method	`jacobian_targetsAddPressure()`	Set pressure derivative
Method	`jacobian_targetsAddSensorFrequencyPolyFit()`	Set sensor frequency derivative to use polynomial fitting offset
Method	`jacobian_targetsAddSpeciesIsotopologueRatio()`	Set isotopologue ratio derivative
Method	`jacobian_targetsAddSpeciesVMR()`	Set volume mixing ratio derivative
Method	`jacobian_targetsAddSurface()`	Sets a surface target
Method	`jacobian_targetsAddTemperature()`	Set temperature derivative
Method	`jacobian_targetsAddWindField()`	Set wind field derivative
Method	`jacobian_targetsFinalize()`	Finalize `jacobian_targets`.
Method	`jacobian_targetsInit()`	Initialize or reset the `jacobian_targets`
Method	`measurement_averaging_kernelCalc()`	Calculate the averaging kernel matrix.
Method	`measurement_sensorAddSimple()`	Adds a sensor with a dirac channel opening around the frequency grid.
Method	`measurement_sensorAddSimpleGaussian()`	Adds a sensor with a Gaussian channel opening around the frequency grid.
Method	`measurement_sensorAddVectorGaussian()`	Adds a sensor with a Gaussian channel opening around the frequency grid.
Method	`measurement_sensorFromModelState()`	Update `measurement_sensor` from `model_state_vector`.
Method	`measurement_sensorInit()`	Initialize `measurement_sensor` to empty.
Method	`measurement_sensorSimple()`	Wrapper for a single simple dirac-opening sensor
Method	`measurement_sensorSimpleGaussian()`	Wrapper for a single simple Gaussian-opening sensor
Method	`measurement_sensorVectorGaussian()`	Wrapper for a single simple Gaussian-opening sensor
Method	`measurement_vectorFromOperatorPath()`	Sets measurement vector by looping over all sensor elements
Method	`measurement_vectorFromSensor()`	Sets measurement vector by looping over all sensor elements
Method	`measurement_vector_error_covariance_matrixConstant()`	Sets a constant measurement vector error covariance matrix.
Method	`measurement_vector_error_covariance_matrix_observation_systemCalc()`	Calculates the covariance matrix describing the error due to uncertainties
Method	`measurement_vector_fittedFromMeasurement()`	Sets the fitted measurement vector to the current measurement vector.
Method	`model_state_covariance_matrixAddSpeciesVMR()`	Set a species model state covariance matrix element.
Method	`model_state_covariance_matrixInit()`	Initialises the model state covariance matrix to the identity matrix.
Method	`model_state_covariance_matrix_smoothing_errorCalc()`	Calculates the covariance matrix describing the error due to smoothing.
Method	`model_state_vectorFromAtmosphere()`	Sets `model_state_vector`’s atmospheric part.
Method	`model_state_vectorFromBands()`	Sets `model_state_vector`’s absorption line part.
Method	`model_state_vectorFromData()`	Get `model_state_vector` from available data
Method	`model_state_vectorFromSensor()`	Sets `model_state_vector`’s sensor part.
Method	`model_state_vectorFromSurface()`	Sets `model_state_vector`’s surface part.
Method	`model_state_vectorSize()`	Sets `model_state_vector` to the size `jacobian_targets` demand.
Method	`model_state_vectorZero()`	Sets `model_state_vector` to 0.0
Method	`model_state_vector_aprioriFromData()`	Get `model_state_vector_apriori` from available data
Method	`model_state_vector_aprioriFromState()`	Sets the a priori state of the model state vector to the current state.
Method	`propagation_matrixAddCIA()`	Calculate absorption coefficients per tag group for HITRAN CIA continua.
Method	`propagation_matrixAddFaraday()`	Calculates absorption matrix describing Faraday rotation.
Method	`propagation_matrixAddLines()`	Line-by-line calculations.
Method	`propagation_matrixAddLookup()`	Lookup calculations
Method	`propagation_matrixAddPredefined()`	Adds all of the predefined models in `absorption_species` to the propagation_matrix
Method	`propagation_matrixAddXsecFit()`	Calculate absorption cross sections per tag group for HITRAN xsec species.
Method	`propagation_matrixInit()`	Initialize `propagation_matrix`, `propagation_matrix_source_vector_nonlte`, and their derivatives to zeroes.
Method	`propagation_matrix_agendaAuto()`	Sets the `propagation_matrix_agenda` automatically from absorption data and species tag meta information.
Method	`propagation_matrix_agendaExecute()`	Executes `propagation_matrix_agenda`, see it for more details
Method	`propagation_matrix_agendaSet()`	Sets `propagation_matrix_agenda` to a default value
Method	`propagation_matrix_jacobianWindFix()`	Fix for the wind field derivative.
Method	`propagation_matrix_scatteringAirSimple()`	Add simple air to `propagation_matrix_scattering`.
Method	`propagation_matrix_scatteringInit()`	Initialize `propagation_matrix_scattering` to zeroes.
Method	`propagation_matrix_scattering_agendaExecute()`	Executes `propagation_matrix_scattering_agenda`, see it for more details
Method	`propagation_matrix_scattering_agendaSet()`	Sets `propagation_matrix_scattering_agenda` to a default value
Method	`ray_pathGeometric()`	Get a geometric radiation path
Method	`ray_pathGeometricDownlooking()`	Wraps `ray_pathGeometric()` for straight downlooking paths from the top-of-the-atmosphere altitude
Method	`ray_pathGeometricTangentAltitude()`	Get a geometric radiation path that crosses the tangent altitude
Method	`ray_pathGeometricUplooking()`	Wraps `ray_pathGeometric()` for straight uplooking paths from the surface altitude at the position
Method	`ray_path_atmospheric_pointExtendInPressure()`	Gets the atmospheric points along the path.
Method	`ray_path_atmospheric_pointFromPath()`	Gets the atmospheric points along the path.
Method	`ray_path_frequency_gridFromPath()`	Gets the frequency grid along the path.
Method	`ray_path_observer_agendaExecute()`	Executes `ray_path_observer_agenda`, see it for more details
Method	`ray_path_observer_agendaSet()`	Sets `ray_path_observer_agenda`
Method	`ray_path_pointBackground()`	Sets `ray_path_point` to the expected background point of `ray_path`
Method	`ray_path_pointForeground()`	Sets `ray_path_point` to the expected foreground point of `ray_path`
Method	`ray_path_pointLowestFromPath()`	Sets `ray_path_point` to the lowest point of `ray_path`.
Method	`ray_path_propagation_matrixAddScattering()`	Adds the scattering part of the propagation matrix to the rest along the path.
Method	`ray_path_propagation_matrixFromPath()`	Gets the propagation matrix and non-LTE source term along the path.
Method	`ray_path_propagation_matrix_scatteringFromPath()`	Gets the propagation matrix for scattering along the path.
Method	`ray_path_spectral_radiance_scatteringSunsFirstOrderRayleigh()`	Add `suns` to `ray_path_spectral_radiance_source`.
Method	`ray_path_spectral_radiance_sourceAddScattering()`	Adds the scattering part of the propagation matrix to the rest along the path.
Method	`ray_path_spectral_radiance_sourceFromPropmat()`	Gets the source term along the path.
Method	`ray_path_suns_pathFromPathObserver()`	Wraps `sun_pathFromObserverAgenda()` for all paths to all suns.
Method	`ray_path_transmission_matrixFromPath()`	Gets the transmission matrix in layers along the path.
Method	`ray_path_transmission_matrix_cumulativeFromPath()`	Sets `ray_path_transmission_matrix_cumulative` by forward iteration of `ray_path_transmission_matrix`
Method	`ray_path_zeeman_magnetic_fieldFromPath()`	Sets A path of Zeeman effec magnetic field properties.
Method	`set()`	Set the variable to the new value.
Method	`sortedIndexOfBands()`	Get the sorting of the bands by first quantum identifier then some `criteria`
Method	`spectral_radianceApplyUnit()`	Applies a unit to `spectral_radiance`, returning a new field
Method	`spectral_radianceApplyUnitFromSpectralRadiance()`	Apply unit changes to spectral radiance and its Jacobian
Method	`spectral_radianceClearskyBackgroundTransmission()`	Computes clearsky transmission of spectral radiances
Method	`spectral_radianceClearskyEmission()`	Computes clearsky emission of spectral radiances
Method	`spectral_radianceClearskyRayleighScattering()`	Computes clearsky emission of spectral radiances
Method	`spectral_radianceClearskyTransmission()`	Computes clearsky transmission of spectral radiances
Method	`spectral_radianceCumulativeEmission()`	Gets the spectral radiance from the path emission.
Method	`spectral_radianceCumulativeTransmission()`	Gets the spectral radiance from the path transmission.
Method	`spectral_radianceDefaultTransmission()`	Sets default `spectral_radiance` and `spectral_radiance_jacobian` for transmission.
Method	`spectral_radianceIntegrateDisort()`	Integrate Disort spectral radiance.
Method	`spectral_radianceStepByStepEmission()`	Gets the spectral radiance from the path.
Method	`spectral_radianceSunOrCosmicBackground()`	Get the spectral radiance of a sun or of the cosmic background if the sun is not hit.
Method	`spectral_radianceSunsOrCosmicBackground()`	Get the spectral radiance of a sun or of the cosmic background if no sun is hit.
Method	`spectral_radianceSurfaceBlackbody()`	Set surface spectral radiance from Planck function of the surface temperature
Method	`spectral_radianceUniformCosmicBackground()`	Background spectral radiance is from a uniform cosmic background temperature.
Method	`spectral_radiance_backgroundAgendasAtEndOfPath()`	Computes the background radiation.
Method	`spectral_radiance_fieldFromOperatorPath()`	Computes the spectral radiance field using `ray_path_observer_agenda`.
Method	`spectral_radiance_fieldFromOperatorPlanarGeometric()`	Computes the spectral radiance field assuming planar geometric paths
Method	`spectral_radiance_jacobianAddPathPropagation()`	Adds the propagation variables to `spectral_radiance_jacobian`
Method	`spectral_radiance_jacobianAddSensorJacobianPerturbations()`	Adds sensor properties to the `spectral_radiance_jacobian`.
Method	`spectral_radiance_jacobianApplyUnit()`	Applies a unit to `spectral_radiance`, returning a new field
Method	`spectral_radiance_jacobianEmpty()`	Set the cosmic background radiation derivative to empty.
Method	`spectral_radiance_jacobianFromBackground()`	Sets `spectral_radiance_jacobian` from the background values
Method	`spectral_radiance_observer_agendaExecute()`	Executes `spectral_radiance_observer_agenda`, see it for more details
Method	`spectral_radiance_observer_agendaSet()`	Sets `spectral_radiance_space_agenda`
Method	`spectral_radiance_operatorClearsky1D()`	Set up a 1D spectral radiance operator
Method	`spectral_radiance_space_agendaExecute()`	Executes `spectral_radiance_space_agenda`, see it for more details
Method	`spectral_radiance_space_agendaSet()`	Sets `spectral_radiance_space_agenda`
Method	`spectral_radiance_surface_agendaExecute()`	Executes `spectral_radiance_surface_agenda`, see it for more details
Method	`spectral_radiance_surface_agendaSet()`	Sets `spectral_radiance_surface_agenda`
Method	`sunBlackbody()`	Set `sun` to blackbody.
Method	`sunFromGrid()`	Extracts a sun spectrum from a field of such data.
Method	`sun_pathFromObserverAgenda()`	Find a path that hits the sun if possible
Method	`sunsAddSun()`	Add `sun` to `suns`, only exist for composability.
Method	`surface_fieldEarth()`	Earth reference ellipsoids.
Method	`surface_fieldEuropa()`	Europa reference ellipsoids.
Method	`surface_fieldFromModelState()`	Sets `surface_field` to the state of the model.
Method	`surface_fieldGanymede()`	Ganymede reference ellipsoids.
Method	`surface_fieldInit()`	Manual setting of the reference ellipsoid.
Method	`surface_fieldIo()`	Io reference ellipsoids.
Method	`surface_fieldJupiter()`	Jupiter reference ellipsoids.
Method	`surface_fieldMars()`	Mars reference ellipsoids.
Method	`surface_fieldMoon()`	Moon reference ellipsoids.
Method	`surface_fieldSetPlanetEllipsoid()`	Sets the planet base surface field
Method	`surface_fieldVenus()`	Venus reference ellipsoids.
Method	`swap()`	Swap the workspace for andother.
Method	`transmission_matrix_backgroundFromPathPropagationBack()`	Sets `transmission_matrix_background` to back of `ray_path_transmission_matrix_cumulative`
Method	`transmission_matrix_backgroundFromPathPropagationFront()`	Sets `transmission_matrix_background` to front of `ray_path_transmission_matrix_cumulative`
Method	`water_equivalent_pressure_operatorMK05()`	Calculate equivalent water pressure according to Murphy and Koop, 2005
Attribute	`absorption_bands`	`AbsorptionBands` Bands of absorption lines for LBL calculations.
Attribute	`absorption_cia_data`	`ArrayOfCIARecord` HITRAN Collision Induced Absorption (CIA) Data.
Attribute	`absorption_lookup_table`	`AbsorptionLookupTables` Absorption lookup table for scalar gas absorption coefficients.
Attribute	`absorption_predefined_model_data`	`PredefinedModelData` This contains predefined model data.
Attribute	`absorption_species`	`ArrayOfArrayOfSpeciesTag` Tag groups for gas absorption.
Attribute	`absorption_xsec_fit_data`	`ArrayOfXsecRecord` Fitting model coefficients for cross section species.
Attribute	`atmospheric_field`	`AtmField` An atmospheric field in ARTS.
Attribute	`atmospheric_point`	`AtmPoint` An atmospheric point in ARTS.
Attribute	`covariance_matrix_diagonal_blocks`	`JacobianTargetsDiagonalCovarianceMatrixMap` A helper map for setting the covariance matrix.
Attribute	`disort_fourier_mode_dimension`	`Index` The number of Fourier modes for Disort.
Attribute	`disort_legendre_polynomial_dimension`	`Index` The number of input Legendre polynimials for Disort.
Attribute	`disort_quadrature_angles`	`Vector` The quadrature angles for Disort.
Attribute	`disort_quadrature_dimension`	`Index` The quadrature size for Disort.
Attribute	`disort_quadrature_weights`	`Vector` The quadrature weights for Disort.
Attribute	`disort_settings`	`DisortSettings` Contains the full settings of spectral Disort calculations.
Attribute	`disort_settings_agenda`	`Agenda` An agenda for setting up Disort.
Attribute	`disort_spectral_flux_field`	`Tensor3` The spectral flux field from Disort.
Attribute	`disort_spectral_radiance_field`	`Tensor4` The spectral radiance field from Disort.
Attribute	`ecs_data`	`LinemixingEcsData` Error corrected sudden data
Attribute	`frequency_grid`	`AscendingGrid` A single path point’s frequency grid.
Attribute	`frequency_grid_wind_shift_jacobian`	`Vector3` The frequency grid wind shift Jacobian.
Attribute	`gravity_operator`	`NumericTernaryOperator` The gravity operator.
Attribute	`inversion_iterate_agenda`	`Agenda` Work in progress …
Attribute	`inversion_iterate_agenda_counter`	`Index` A counter for the inversion iterate agenda.
Attribute	`inversion_iterate_agenda_do_jacobian`	`Index` A boolean for if Jacobian calculations should be done.
Attribute	`jacobian_targets`	`JacobianTargets` A list of targets for the Jacobian Matrix calculations.
Attribute	`measurement_averaging_kernel`	`Matrix` Averaging kernel matrix.
Attribute	`measurement_gain_matrix`	`Matrix` Contribution function (or gain) matrix.
Attribute	`measurement_jacobian`	`Matrix` The partial derivatives of the `measurement_vector`.
Attribute	`measurement_sensor`	`ArrayOfSensorObsel` A list of sensor elements.
Attribute	`measurement_vector`	`Vector` The measurment vector for, e.g., a sensor.
Attribute	`measurement_vector_error_covariance_matrix`	`CovarianceMatrix` Covariance matrix for observation uncertainties.
Attribute	`measurement_vector_fitted`	`Vector` As `measurement_vector`, but fitted to the model.
Attribute	`model_state_covariance_matrix`	`CovarianceMatrix` Covariance matrix of a priori distribution.
Attribute	`model_state_vector`	`Vector` A state vector of the model.
Attribute	`model_state_vector_apriori`	`Vector` An apriori state vector of the model.
Attribute	`propagation_matrix`	`PropmatVector` This contains the propagation matrix for the current path point.
Attribute	`propagation_matrix_agenda`	`Agenda` Compute the propagation matrix, the non-LTE source vector, and their derivatives
Attribute	`propagation_matrix_jacobian`	`PropmatMatrix`
Attribute	`propagation_matrix_scattering`	`PropmatVector` This contains the propagation matrix for scattering for the current path point.
Attribute	`propagation_matrix_scattering_agenda`	`Agenda` Compute the propagation matrix, the non-LTE source vector, and their derivatives
Attribute	`propagation_matrix_select_species`	`SpeciesEnum` A select species tag group from `absorption_species`
Attribute	`propagation_matrix_source_vector_nonlte`	`StokvecVector` The part of the source vector that is due to non-LTE.
Attribute	`propagation_matrix_source_vector_nonlte_jacobian`	`StokvecMatrix` Partial derivative of the `propagation_matrix_source_vector_nonlte` with regards to `jacobian_targets`.
Attribute	`ray_path`	`ArrayOfPropagationPathPoint` A list path points making up a propagation path.
Attribute	`ray_path_atmospheric_point`	`ArrayOfAtmPoint` Atmospheric points along the propagation path.
Attribute	`ray_path_frequency_grid`	`ArrayOfAscendingGrid` All `frequency_grid` along the propagation path.
Attribute	`ray_path_frequency_grid_wind_shift_jacobian`	`ArrayOfVector3` A list of `frequency_grid_wind_shift_jacobian` for a ray path.
Attribute	`ray_path_observer_agenda`	`Agenda` Get the propagation path as it is obeserved.
Attribute	`ray_path_point`	`PropagationPathPoint` A single path point.
Attribute	`ray_path_propagation_matrix`	`ArrayOfPropmatVector` Propagation matrices along the propagation path
Attribute	`ray_path_propagation_matrix_jacobian`	`ArrayOfPropmatMatrix` Propagation derivative matrices along the propagation path
Attribute	`ray_path_propagation_matrix_scattering`	`ArrayOfPropmatVector` Propagation matrices along the propagation path for scattering
Attribute	`ray_path_propagation_matrix_source_vector_nonlte`	`ArrayOfStokvecVector` Additional non-LTE along the propagation path
Attribute	`ray_path_propagation_matrix_source_vector_nonlte_jacobian`	`ArrayOfStokvecMatrix` Additional non-LTE derivative along the propagation path
Attribute	`ray_path_spectral_radiance_jacobian`	`ArrayOfStokvecMatrix` Spectral radiance derivative along the propagation path
Attribute	`ray_path_spectral_radiance_scattering`	`ArrayOfStokvecVector` Spectral radiance scattered into the propagation path
Attribute	`ray_path_spectral_radiance_source`	`ArrayOfStokvecVector` Source vectors along the propagation path
Attribute	`ray_path_spectral_radiance_source_jacobian`	`ArrayOfStokvecMatrix` Source derivative vectors along the propagation path
Attribute	`ray_path_suns_path`	`ArrayOfArrayOfArrayOfPropagationPathPoint` A list of paths to the suns from the ray path.
Attribute	`ray_path_transmission_matrix`	`ArrayOfMuelmatVector` Transmission matrices along the propagation path.
Attribute	`ray_path_transmission_matrix_cumulative`	`ArrayOfMuelmatVector` Cumulative transmission matrices along the propagation path
Attribute	`ray_path_transmission_matrix_jacobian`	`ArrayOfMuelmatTensor3` Transmission derivative matrices along the propagation path.
Attribute	`spectral_radiance`	`StokvecVector` A spectral radiance vector.
Attribute	`spectral_radiance_background`	`StokvecVector` Spectral radiance from the background
Attribute	`spectral_radiance_background_jacobian`	`StokvecMatrix` Spectral radiance derivative from the background
Attribute	`spectral_radiance_jacobian`	`StokvecMatrix` Jacobian of `spectral_radiance` with respect to `jacobian_targets`.
Attribute	`spectral_radiance_observer_agenda`	`Agenda` Spectral radiance as seen from the input position and environment
Attribute	`spectral_radiance_observer_line_of_sight`	`Vector2` The position of the observer of spectral radiance.
Attribute	`spectral_radiance_observer_position`	`Vector3` The position of an observer of spectral radiance.
Attribute	`spectral_radiance_operator`	`SpectralRadianceOperator` The spectral radiance operator.
Attribute	`spectral_radiance_space_agenda`	`Agenda` Spectral radiance as seen of space.
Attribute	`spectral_radiance_surface_agenda`	`Agenda` Spectral radiance as seen of the surface.
Attribute	`spectral_radiance_unit`	`SpectralRadianceUnitType` The spectral radiance unit after conversion.
Attribute	`sun`	`Sun` A sun.
Attribute	`sun_path`	`ArrayOfPropagationPathPoint` A path to a sun if it is visible.
Attribute	`suns`	`ArrayOfSun` A list of `Sun`.
Attribute	`surface_field`	`SurfaceField` The surface field describes the surface properties.
Attribute	`transmission_matrix_background`	`MuelmatVector` Transmittance from the background
Operator	`__eq__()`	Return self==value.
Operator	`__ge__()`	Return self>=value.
Operator	`__getstate__()`	Helper for pickle.
Operator	`__gt__()`	Return self>value.
Operator	`__hash__()`	Return hash(self).
Operator	`__iter__()`	Allows iter(self)
Operator	`__le__()`	Return self<=value.
Operator	`__lt__()`	Return self<value.
Operator	`__ne__()`	Return self!=value.

Constructors

__init__(self, with_defaults: bool = True) → None

Methods

Ignore(self, input: object | None = None) → None

Ignore a workspace variable.

This method is handy for use in agendas in order to suppress warnings about unused input workspace variables. What it does is: Nothing! In other words, it just ignores the variable it is called on.

This method can ignore any workspace variable you want.

Author(s): Stefan Buehler

Parameters:: input (Any) – Variable to be ignored. [IN]

OEM(self, model_state_vector: pyarts.arts.Vector | None = None, measurement_vector_fitted: pyarts.arts.Vector | None = None, measurement_jacobian: pyarts.arts.Matrix | None = None, measurement_gain_matrix: pyarts.arts.Matrix | None = None, oem_diagnostics: pyarts.arts.Vector | None = None, lm_ga_history: pyarts.arts.Vector | None = None, errors: pyarts.arts.ArrayOfString | None = None, model_state_vector_apriori: pyarts.arts.Vector | None = None, model_state_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None, measurement_vector: pyarts.arts.Vector | None = None, measurement_vector_error_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None, inversion_iterate_agenda: pyarts.arts.Agenda | None = None, method: pyarts.arts.String | None = None, max_start_cost: pyarts.arts.Numeric | None = None, model_state_covariance_matrix_normalization: pyarts.arts.Vector | None = None, max_iter: pyarts.arts.Index | None = None, stop_dx: pyarts.arts.Numeric | None = None, lm_ga_settings: pyarts.arts.Vector | None = None, clear_matrices: pyarts.arts.Index | None = None, display_progress: pyarts.arts.Index | None = None) → None

Inversion by the so called optimal estimation method (OEM).

Work in progress …

The cost function to minimise, including a normalisation with length of measurement_vector, is:

cost = cost_y + cost_x

where:

cost_y = 1/m * [y-yf]’ * covmat_se_inv * [y-yf] cost_x = 1/m * [x-xa]’ * covmat_sx_inv * [x-xa]

The current implementation provides 3 methods for the minimization of the cost functional: Linear, Gauss-Newton and Levenberg-Marquardt. The Gauss-Newton minimizer attempts to find a minimum solution by fitting a quadratic function to the cost functional. The linear minimizer is a special case of the Gauss-Newton method, since for a linear forward model the exact solution of the minimization problem is obtained after the first step. The Levenberg-Marquardt method adaptively constrains the search region for the next iteration step by means of the so-called gamma-factor. This makes the method more suitable for strongly non-linear problems. If the gamma-factor is 0, Levenberg-Marquardt and Gauss-Newton method are identical. Each minimization method (li,gn,lm) has an indirect variant (li_cg,gn_cg,lm_cg), which uses the conjugate gradient solver for the linear system that has to be solved in each minimzation step. This of advantage for very large problems, that would otherwise require the computation of expensive matrix products.

Description of the special input arguments:

method:

"li": A linear problem is assumed and a single iteration is performed.

"li_cg": A linear problem is assumed and solved using the CG solver.

"gn": Non-linear, with Gauss-Newton iteration scheme.

"gn_cg": Non-linear, with Gauss-Newton and conjugate gradient solver.

"lm": Non-linear, with Levenberg-Marquardt (LM) iteration scheme.

"lm_cg": Non-linear, with Levenberg-Marquardt (LM) iteration scheme and conjugate gradient solver.

max_start_cost:

No inversion is done if the cost matching the a priori state is above this value. If set to a negative value, all values are accepted. This argument also controls if the start cost is calculated. If set to <= 0, the start cost in oem_diagnostics is set to NaN when using “li” and “gn”.

x_norm:

A normalisation vector for model_state_vector. A normalisation of model_state_vector can be needed due to limited numerical precision. If this vector is set to be empty no normalisation is done (defualt case). Otherwise, this must be a vector with same length as model_state_vector, just having values above zero. Elementwise division between model_state_vector and x_norm (x./x_norm) shall give a vector where all values are in the order of unity. Maybe the best way to set x_norm is x_norm = sqrt( diag( Sx ) ).

max_iter:

Maximum number of iterations to perform. No effect for “li”.

stop_dx:n”

Iteration stop criterion. The criterion used is the same as given in Rodgers' “Inverse Methods for Atmospheric Sounding”

lm_ga_settings:

Settings controlling the gamma factor, part of the “LM” method. This is a vector of length 6, having the elements (0-based index):

Start value.

Fractional decrease after succesfull iteration.

Fractional increase after unsuccessful iteration.

Maximum allowed value. If the value is passed, the inversion is halted.

Lower treshold. If the threshold is passed, gamma is set to zero. If gamma must be increased from zero, gamma is set to this value.

Gamma limit. This is an additional stop criterion. Convergence is not considered until there has been one succesful iteration having a gamma <= this value.

The default setting triggers an error if “lm” is selected.

clear matrices:

With this flag set to 1, measurement_jacobian and measurement_gain_matrix are returned as empty matrices.

display_progress:

Controls if there is any screen output. The overall report level is ignored by this WSM.

Author(s): Patrick Eriksson

Parameters:

model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [INOUT]
measurement_vector_fitted (Vector, optional) – As measurement_vector, but fitted to the model. See measurement_vector_fitted, defaults to self.measurement_vector_fitted [INOUT]
measurement_jacobian (Matrix, optional) – The partial derivatives of the measurement_vector. See measurement_jacobian, defaults to self.measurement_jacobian [INOUT]
measurement_gain_matrix (Matrix, optional) – Contribution function (or gain) matrix. See measurement_gain_matrix, defaults to self.measurement_gain_matrix [OUT]
oem_diagnostics (Vector) – Basic diagnostics of an OEM type inversion. Defaults to create and/or use self.oem_diagnostics : Vector. [OUT]
lm_ga_history (Vector) – The series of gamma values for a Marquardt-levenberg inversion. Defaults to create and/or use self.lm_ga_history : Vector. [OUT]
errors (ArrayOfString) – Errors encountered during OEM execution. Defaults to create and/or use self.errors : ArrayOfString. [OUT]
model_state_vector_apriori (Vector, optional) – An apriori state vector of the model. See model_state_vector_apriori, defaults to self.model_state_vector_apriori [IN]
model_state_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix of a priori distribution. See model_state_covariance_matrix, defaults to self.model_state_covariance_matrix [IN]
measurement_vector (Vector, optional) – The measurment vector for, e.g., a sensor. See measurement_vector, defaults to self.measurement_vector [IN]
measurement_vector_error_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix for observation uncertainties. See measurement_vector_error_covariance_matrix, defaults to self.measurement_vector_error_covariance_matrix [IN]
inversion_iterate_agenda (Agenda, optional) – Work in progress … See inversion_iterate_agenda, defaults to self.inversion_iterate_agenda [IN]
method (String) – Iteration method. For this and all options below, see further above. [IN]
max_start_cost (Numeric, optional) – , optionalMaximum allowed value of cost function at start. [IN]
model_state_covariance_matrix_normalization (Vector, optional) – , optionalNormalisation of Sx. [IN]
max_iter (Index, optional) – , optionalMaximum number of iterations. [IN]
stop_dx (Numeric, optional) – , optionalStop criterion for iterative inversions. [IN]
lm_ga_settings (Vector, optional) – , optionalSettings associated with the ga factor of the LM method. [IN]
clear_matrices (Index, optional) – , optionalAn option to save memory. [IN]
display_progress (Index, optional) – , optionalFlag to control if inversion diagnostics shall be printed on the screen. [IN]

ReadCatalogData(self, absorption_predefined_model_data: pyarts.arts.PredefinedModelData | None = None, absorption_xsec_fit_data: pyarts.arts.ArrayOfXsecRecord | None = None, absorption_cia_data: pyarts.arts.ArrayOfCIARecord | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, basename: pyarts.arts.String | None = None, ignore_missing: pyarts.arts.Index | None = None) → None

Reads split catalog data from a folder structure similar to arts-cat-data

Wraps:

absorption_bandsReadSpeciesSplitCatalog() with “lines/” added to basename
absorption_cia_dataReadSpeciesSplitCatalog() with “cia/” added to basename
absorption_xsec_fit_dataReadSpeciesSplitCatalog() with “xsec/” added to basename
absorption_predefined_model_dataReadSpeciesSplitCatalog() with “predef/” added to basename and name_missing = 1

Author(s): Richard Larsson

Parameters:

absorption_predefined_model_data (PredefinedModelData, optional) – This contains predefined model data. See absorption_predefined_model_data, defaults to self.absorption_predefined_model_data [OUT]
absorption_xsec_fit_data (ArrayOfXsecRecord, optional) – Fitting model coefficients for cross section species. See absorption_xsec_fit_data, defaults to self.absorption_xsec_fit_data [OUT]
absorption_cia_data (ArrayOfCIARecord, optional) – HITRAN Collision Induced Absorption (CIA) Data. See absorption_cia_data, defaults to self.absorption_cia_data [OUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
basename (String, optional) – , optionalAbsolute or relative path to the data. [IN]
ignore_missing (Index, optional) – , optionalIgnore missing files instead of throwing an error. [IN]

ReadXML(self, output: object | None = None, filename: pyarts.arts.String | None = None) → None

Reads a workspace variable from an XML file.

This method can read variables of any group.

If the filename is omitted, the variable is read from <basename>.<variable_name>.xml. If the given filename does not exist, this method will also look for files with an added .xml, .xml.gz and .gz extension

Author(s): Oliver Lemke

Parameters:

output (Any) – Variable to be read. Defaults to create and/or use self.output : Any. [OUT]
filename (String, optional) – , optionalName of the XML file. [IN]

ReadXMLIndexed(self, output: object | None = None, file_index: pyarts.arts.Index | None = None, filename: pyarts.arts.String | None = None, digits: pyarts.arts.Index | None = None) → None

As ReadXML(), but reads indexed file names.

The variable is read from a file with name:

<filename>.<file_index>.xml.

where <file_index> is the value of file_index.

This means that filename shall here not include the .xml extension. Omitting filename works as for ReadXML().

Author(s): Oliver Lemke

Parameters:

output (Any) – Workspace variable to be read. Defaults to create and/or use self.output : Any. [OUT]
file_index (Index) – Index of the file to read. [IN]
filename (String, optional) – , optionalFile name. See above. [IN]
digits (Index, optional) – , optionalEqualize the widths of all numbers by padding with zeros as necessary. 0 means no padding (default). [IN]

RetrievalAddAtmosphere(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, target: pyarts.arts.AtmKey | pyarts.arts.SpeciesEnum | pyarts.arts.SpeciesIsotope | pyarts.arts.QuantumIdentifier | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Sets an atmospheric target

This method wraps jacobian_targetsAddAtmosphere() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
target (AtmKey,SpeciesEnum,SpeciesIsotope,QuantumIdentifier) – The target of interest. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalAddMagneticField(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, component: pyarts.arts.String | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Set magnetic field derivative

See FieldComponent for valid component

This method wraps jacobian_targetsAddMagneticField() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
component (String) – The component to use [u, v, w]. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalAddPressure(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Set pressure derivative

This method wraps jacobian_targetsAddPressure() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalAddSensorFrequencyPolyFit(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, d: pyarts.arts.Numeric | None = None, sensor_elem: pyarts.arts.Index | None = None, polyorder: pyarts.arts.Index | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Set sensor frequency derivative to use polynomial fitting offset

Order 0 means constant: f := f0 + a Order 1 means linear: f := f0 + a + b * f0 and so on. The derivatives that are added to the model_state_vector are those with regards to a, b, etc..

Note

The rule for the sensor_elem GIN is a bit complex. Generally, methods such as measurement_sensorAddSimple() will simply add a single unique frequency grid to all the different SensorObsel that they add to the measurement_sensor. The GIN sensor_elem is 0 for the first unique frequency grid, 1 for the second, and so on. See ArrayOfSensorObsel member methods in python for help identifying and manipulating how many unique frequency grids are available in measurement_sensor.

This method wraps jacobian_targetsAddSensorFrequencyPolyFit() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
sensor_elem (Index) – The sensor element whose frequency grid to use. [IN]
polyorder (Index, optional) – , optionalThe order of the polynomial fit. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalAddSpeciesIsotopologueRatio(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, species: pyarts.arts.SpeciesIsotope | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Set isotopologue ratio derivative

See SpeciesIsotope for valid species

This method wraps jacobian_targetsAddSpeciesIsotopologueRatio() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
species (SpeciesIsotope) – The species isotopologue of interest. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalAddSpeciesVMR(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, species: pyarts.arts.SpeciesEnum | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Set volume mixing ratio derivative

See SpeciesEnum for valid species

This method wraps jacobian_targetsAddSpeciesVMR() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
species (SpeciesEnum) – The species of interest. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalAddSurface(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, target: pyarts.arts.SurfaceKey | pyarts.arts.SurfaceTypeTag | pyarts.arts.SurfacePropertyTag | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Sets a surface target

This method wraps jacobian_targetsAddSurface() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
target (SurfaceKey,SurfaceTypeTag,SurfacePropertyTag) – The target of interest. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalAddTemperature(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Set temperature derivative

This method wraps jacobian_targetsAddTemperature() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalAddWindField(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, component: pyarts.arts.String | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Set wind field derivative

Note that the derivatives from methods that takes the freqeuncy will return their derivatives as if these were frequency derivatives.

See FieldComponent for valid component

This method wraps jacobian_targetsAddWindField() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]
component (String) – The component to use [u, v, w]. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]

RetrievalFinalizeDiagonal(self, model_state_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None) → None

Finalize the retrieval setup.

See jacobian_targetsFinalize() for more information.

Author(s): Richard Larsson

Parameters:

model_state_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix of a priori distribution. See model_state_covariance_matrix, defaults to self.model_state_covariance_matrix [OUT]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]

RetrievalInit(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, model_state_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None) → None

Initialize the retrieval setup.

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [OUT]
model_state_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix of a priori distribution. See model_state_covariance_matrix, defaults to self.model_state_covariance_matrix [OUT]
covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [OUT]

SpectralFluxDisort(self, spectral_flux_field_up: pyarts.arts.Matrix | None = None, spectral_flux_field_down: pyarts.arts.Matrix | None = None, disort_spectral_flux_field: pyarts.arts.Tensor3 | None = None) → None

Integrate Disort spectral radiance.

Author(s): Richard Larsson

Parameters:

spectral_flux_field_up (Matrix) – Upward spectral flux field. Defaults to create and/or use self.spectral_flux_field_up : Matrix. [OUT]
spectral_flux_field_down (Matrix) – Downward spectral flux field. Defaults to create and/or use self.spectral_flux_field_down : Matrix. [OUT]
disort_spectral_flux_field (Tensor3, optional) – The spectral flux field from Disort. See disort_spectral_flux_field, defaults to self.disort_spectral_flux_field [IN]

Touch(self, input: object | None = None) → None

As Ignore() but for agenda output.

This method is handy for use in agendas in order to suppress warnings about not-produced output workspace variables.

What it does, in case the variable is initialized already, is: Nothing! In case the variable is not yet initialized, it is set to NaN.

Author(s): Oliver Lemke

Parameters:: input (Any) – Variable to do nothing with. Defaults to create and/or use self.input : Any. [OUT]

UpdateModelStates(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, surface_field: pyarts.arts.SurfaceField | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, model_state_vector: pyarts.arts.Vector | None = None) → None

Update state of the model in preparation for a forward model run

Wrapper calling Methods (in order):

absorption_bandsFromModelState()

surface_fieldFromModelState()

atmospheric_fieldFromModelState()

measurement_sensorFromModelState()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.absorption_bandsFromModelState()
 ws.surface_fieldFromModelState()
 ws.atmospheric_fieldFromModelState()
 ws.measurement_sensorFromModelState()

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [INOUT]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [INOUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [INOUT]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [IN]

WignerInit(self, fast_wigner_stored_symbols: pyarts.arts.Index | None = None, largest_wigner_symbol_parameter: pyarts.arts.Index | None = None, symbol_type: pyarts.arts.Index | None = None) → None

Initialize the Wigner tables

The default values take about 1 Gb memory.

The static data is kept in an external library and is therefore only available inside ARTS. Nevertheless, this must be set by the application because any default value might be too small or too large for the needs of any one application.

Author(s): Richard Larsson

Parameters:

fast_wigner_stored_symbols (Index, optional) – , optionalNumber of stored symbols possible before replacements. [IN]
largest_wigner_symbol_parameter (Index, optional) – , optionalLargest symbol used for initializing factorials (e.g., largest J or L). [IN]
symbol_type (Index, optional) – , optionalType of symbol (3 or 6). [IN]

WignerUnload(self) → None

Unloads the Wigner tables from static data (see WignerInit())

Author(s): Richard Larsson

WriteBuiltinPartitionFunctionsXML(self, output_file_format: pyarts.arts.String | None = None, dir: pyarts.arts.String | None = None, Tlow: pyarts.arts.Numeric | None = None, Tupp: pyarts.arts.Numeric | None = None, N: pyarts.arts.Index | None = None) → None

Writes all the builtin partition functions to file.

All available partition functions are written to files in the select format in the select directory

The temperature will be linearly spaced between [Tlow, Tupp] with N values

See FileType for valid output_file_format.

Author(s): Richard Larsson

Parameters:

output_file_format (String, optional) – , optionalThe format of the output. [IN]
dir (String) – The directory to write the data towards. [IN]
Tlow (Numeric) – The lowest temperature. [IN]
Tupp (Numeric) – The highest temperature. [IN]
N (Index) – The number of temperature points. [IN]

WriteXML(self, output_file_format: pyarts.arts.String | None = None, input: object | None = None, filename: pyarts.arts.String | None = None, no_clobber: pyarts.arts.Index | None = None) → None

Writes a workspace variable to an XML file.

This method can write variables of any group.

If the filename is omitted, the variable is written to <basename>.<variable_name>.xml. If no_clobber is set to 1, an increasing number will be appended to the filename if the file already exists.

See FileType for valid output_file_format.

Author(s): Oliver Lemke

Parameters:

output_file_format (String, optional) – , optionalThe format of the output. [IN]
input (Any) – Variable to be saved. [IN]
filename (String, optional) – , optionalName of the XML file. [IN]
no_clobber (Index, optional) – , optional0: Overwrite existing files, 1: Use unique filenames. [IN]

As WriteXML(), but creates indexed file names.

The variable is written to a file with name:

<filename>.<file_index>.xml.

where <file_index> is the value of file_index.

This means that filename shall here not include the .xml extension. Omitting filename works as for WriteXML().

See FileType for valid output_file_format.

Author(s): Patrick Eriksson, Oliver Lemke

Parameters:

output_file_format (String, optional) – , optionalThe format of the output. [IN]
file_index (Index) – Index number for files. [IN]
input (Any) – Workspace variable to be saved. [IN]
filename (String, optional) – , optionalFile name. See above. [IN]
digits (Index, optional) – , optionalEqualize the widths of all numbers by padding with zeros as necessary. 0 means no padding (default). [IN]

abs_lines_per_speciesReadSpeciesSplitCatalog(self, abs_lines_per_species: pyarts.arts.ArrayOfArrayOfAbsorptionLines | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, basename: pyarts.arts.String | None = None, robust: pyarts.arts.Index | None = None) → None

Reads old style catalog but only for absorption_species

Author(s): Richard Larsson

Parameters:

abs_lines_per_species (ArrayOfArrayOfAbsorptionLines) – Absorption lines per species. Defaults to create and/or use self.abs_lines_per_species : ArrayOfArrayOfAbsorptionLines. [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
basename (String) – The path to the split catalog files. [IN]
robust (Index, optional) – , optionalFlag to continue in case nothing is found [0 throws, 1 continues]. [IN]

absorption_bandsFromAbsorbtionLines(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, abs_lines_per_species: pyarts.arts.ArrayOfArrayOfAbsorptionLines | None = None) → None

Gets modern line catalog from old style

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
abs_lines_per_species (ArrayOfArrayOfAbsorptionLines) – Absorption lines per species. [IN]

absorption_bandsFromModelState(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, model_state_vector: pyarts.arts.Vector | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets absorption_bands to the state of the model.

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [INOUT]
model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

absorption_bandsKeepID(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, id: pyarts.arts.QuantumIdentifier | None = None, line: pyarts.arts.Index | None = None) → None

Keeps first band of ID

If line is positive, also keep only the line of this index

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [INOUT]
id (QuantumIdentifier) – Band to keep. [IN]
line (Index, optional) – , optionalLine to keep (if positive). [IN]

absorption_bandsLineMixingAdaptation(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, ecs_data: pyarts.arts.LinemixingEcsData | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, temperatures: pyarts.arts.AscendingGrid | None = None, band_key: pyarts.arts.QuantumIdentifier | None = None, rosenkranz_fit_order: pyarts.arts.Index | None = None, polynomial_fit_degree: pyarts.arts.Index | None = None) → None

Adapts select band to use ordered Line mixing coefficients.

This is an experimental feature and might not work.

The computations of line mixing are done on the grid of temperatures provided.

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [INOUT]
ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
temperatures (AscendingGrid) – The temperatures to use for the internal fitting. [IN]
band_key (QuantumIdentifier) – The band to adapt. [IN]
rosenkranz_fit_order (Index, optional) – , optionalThe degree of Rosenkranz coefficients (1 for just fitting y, 2 for fitting also g and dv). [IN]
polynomial_fit_degree (Index, optional) – , optionalThe highest order of the polynomial fit (2 means square, 3 means cubic, etc). [IN]

absorption_bandsReadHITRAN(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, file: pyarts.arts.String | None = None, frequency_range: pyarts.arts.Vector2 | None = None, line_strength_option: pyarts.arts.String | None = None, compute_zeeman_parameters: pyarts.arts.Index | None = None) → None

Reads HITRAN data from a file.

The HITRAN file is assumed sorted in frequency, with each line record filling up one line of text.

If the full 160-char line record is consumed without reaching the end of the line, qns’ and qns’’ are assumed appended with default HITRANonline format.

You may pass an inclusive frequency range to limit what is read. This will limit the data read to the range [fmin, fmax]. All data before fmin is limited to parsing just up until the frequency, and the database is returned if the fmax frequency is exceeded.

The optional parameter einstein_coefficient is used to indicate if it is to be computed from the line strength, or simply read from the Hitran data.

Warning

Several HITRAN lines has Einstein coefficients that will not reproduce the results of pure line strength simulations. If the option is set to read the Einstein coefficicent (“A”) instead of computing it (“S”) the program will throw an error if missing data is encountered. For the computed Einstein coeffcient, if the upper degeneracy is missing, it will be set to either - (2J+1) or -1 if J is not a local quantum number. Note that this will also make the Einstein coefficient negative. This should not affect the simulation, but it is a warning that the data is not complete.

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [OUT]
file (String) – Filename. [IN]
frequency_range (Vector2, optional) – , optionalFrequency range selection. [IN]
line_strength_option (String, optional) – , optionalWhether the Hitran line strenght or the Hitran Einstein coefficient is used, the latter has historically been less reliable. [IN]
compute_zeeman_parameters (Index, optional) – , optionalCompute the Zeeman parameters from the HITRAN data (will not activate Zeeman calculations, this must be done manually afterwards). [IN]

absorption_bandsReadSpeciesSplitCatalog(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, basename: pyarts.arts.String | None = None, ignore_missing: pyarts.arts.Index | None = None) → None

Saves all bands fin absorption_bands to a directory

This will create the directory if it does not exist. It will also create subdirectories that are the short-form of the isotopologue names. The bands will be stored as 0.xml, 1.xml, 2.xml, and so on

The dir path has to be absolute or relative to the working path, the environment variables are not considered

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
basename (String) – Absolute or relative path to the directory. [IN]
ignore_missing (Index, optional) – , optionalIgnore missing files instead of throwing an error. [IN]

absorption_bandsReadSplit(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, dir: pyarts.arts.String | None = None) → None

Saves all bands fin absorption_bands to a directory

This will create the directory if it does not exist. It will also create subdirectories that are the short-form of the isotopologue names. The bands will be stored as 0.xml, 1.xml, 2.xml, and so on

The dir path has to be absolute or relative to the working path, the environment variables are not considered

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [OUT]
dir (String) – Absolute or relative path to the directory. [IN]

absorption_bandsRemoveID(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, id: pyarts.arts.QuantumIdentifier | None = None) → None

Remove first band of with a matching ID

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [INOUT]
id (QuantumIdentifier) – Identifier to remove. [IN]

absorption_bandsSaveSplit(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, dir: pyarts.arts.String | None = None) → None

Saves all bands fin absorption_bands to a directory

This will create the directory if it does not exist. It will also create subdirectories that are the short-form of the isotopologue names. The bands will be stored as 0.xml, 1.xml, 2.xml, and so on

The dir path has to be absolute or relative to the working path, the environment variables are not considered

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
dir (String) – Absolute or relative path to the directory. [IN]

absorption_bandsSelectFrequency(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, fmin: pyarts.arts.Numeric | None = None, fmax: pyarts.arts.Numeric | None = None, by_line: pyarts.arts.Index | None = None) → None

Remove all lines/bands that strictly falls outside a frequency range

The line’s of each band must be sorted by frequency

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [INOUT]
fmin (Numeric, optional) – , optionalMinimum frequency to keep. [IN]
fmax (Numeric, optional) – , optionalMaximum frequency to keep. [IN]
by_line (Index, optional) – , optionalSelection is done line-by-line (if true) or band-by-band (if false). [IN]

absorption_bandsSetZeeman(self, absorption_bands: pyarts.arts.AbsorptionBands | None = None, species: pyarts.arts.SpeciesIsotope | None = None, fmin: pyarts.arts.Numeric | None = None, fmax: pyarts.arts.Numeric | None = None, on: pyarts.arts.Index | None = None) → None

Set the Zeeman splitting for lines within the frequency range

See SpeciesIsotope for valid species

Author(s): Richard Larsson

Parameters:

absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [INOUT]
species (SpeciesIsotope) – Isotopologue of the species. [IN]
fmin (Numeric) – Minimum line frequency to set Zeeman splitting for. [IN]
fmax (Numeric) – Maximum line frequency to set Zeeman splitting for. [IN]
on (Index, optional) – , optionalOn or off. [IN]

absorption_cia_dataAddCIARecord(self, absorption_cia_data: pyarts.arts.ArrayOfCIARecord | None = None, cia_record: pyarts.arts.CIARecord | None = None, clobber: pyarts.arts.Index | None = None) → None

Takes CIARecord as input and appends the results in the appropriate place.

If CIARecord has same species as species in absorption_cia_data, then the array position is used to append all of the CIARecord into the array. If clobber evaluates as true, cia_record overwrites the appropriate absorption_cia_data. If species in cia_record are not in absorption_cia_data, the CIARecord is pushed back.

Author(s): Richard Larsson

Parameters:

absorption_cia_data (ArrayOfCIARecord, optional) – HITRAN Collision Induced Absorption (CIA) Data. See absorption_cia_data, defaults to self.absorption_cia_data [INOUT]
cia_record (CIARecord) – CIA record to append to absorption_cia_data. [IN]
clobber (Index, optional) – , optionalIf true, the new input clobbers the old cia data. [IN]

absorption_cia_dataReadFromCIA(self, absorption_cia_data: pyarts.arts.ArrayOfCIARecord | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, catalogpath: pyarts.arts.String | None = None) → None

Read data from a CIA data file for all CIA molecules defined in absorption_species.

The units in the HITRAN file are:

Frequency: cm^(-1)
Binary absorption cross-section: cm^5 molec^(-2)

Upon reading we convert this to the ARTS internal SI units of Hz and m^5 molec^(-2).

Author(s): Oliver Lemke

Parameters:

absorption_cia_data (ArrayOfCIARecord, optional) – HITRAN Collision Induced Absorption (CIA) Data. See absorption_cia_data, defaults to self.absorption_cia_data [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
catalogpath (String) – Path to the CIA catalog directory. [IN]

absorption_cia_dataReadFromXML(self, absorption_cia_data: pyarts.arts.ArrayOfCIARecord | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, filename: pyarts.arts.String | None = None) → None

Read data from a CIA XML file and check that all CIA tags defined in absorption_species are present in the file.

The units of the data are described in absorption_cia_dataReadFromCIA().

Author(s): Oliver Lemke

Parameters:

absorption_cia_data (ArrayOfCIARecord, optional) – HITRAN Collision Induced Absorption (CIA) Data. See absorption_cia_data, defaults to self.absorption_cia_data [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
filename (String, optional) – , optionalName of the XML file. [IN]

absorption_cia_dataReadSpeciesSplitCatalog(self, absorption_cia_data: pyarts.arts.ArrayOfCIARecord | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, basename: pyarts.arts.String | None = None, ignore_missing: pyarts.arts.Index | None = None) → None

Reads a species split CIA dataset.

Author(s): Richard Larsson

Parameters:

absorption_cia_data (ArrayOfCIARecord, optional) – HITRAN Collision Induced Absorption (CIA) Data. See absorption_cia_data, defaults to self.absorption_cia_data [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
basename (String) – The path to the split catalog files. [IN]
ignore_missing (Index, optional) – , optionalFlag to continue in case nothing is found [0 throws, 1 continues]. [IN]

absorption_lookup_tableCalc(self, absorption_lookup_table: pyarts.arts.AbsorptionLookupTables | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, ecs_data: pyarts.arts.LinemixingEcsData | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, surface_field: pyarts.arts.SurfaceField | None = None, water_perturbation: pyarts.arts.AscendingGrid | None = None, water_affected_species: pyarts.arts.ArrayOfSpeciesEnum | None = None, temperature_perturbation: pyarts.arts.AscendingGrid | None = None, max_step: pyarts.arts.Numeric | None = None, longitude: pyarts.arts.Numeric | None = None, latitude: pyarts.arts.Numeric | None = None, extrapolation_option: pyarts.arts.String | None = None, extended_min_pressure: pyarts.arts.Numeric | None = None, extended_max_pressure: pyarts.arts.Numeric | None = None) → None

Get absorption_lookup_table from available data.

Computes a pure uplooking ray_path from a given latitude and longitude. This path is used to extract ray_path_atmospheric_point, which is used to define the default atmospheric state for the absorption lookup table.

Wrapper calling Methods (in order):

ray_pathGeometricUplooking()

ray_path_atmospheric_pointFromPath()

ray_path_atmospheric_pointExtendInPressure()

absorption_lookup_tableInit()

absorption_lookup_tablePrecomputeAll()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.ray_pathGeometricUplooking()
 ws.ray_path_atmospheric_pointFromPath()
 ws.ray_path_atmospheric_pointExtendInPressure()
 ws.absorption_lookup_tableInit()
 ws.absorption_lookup_tablePrecomputeAll()

Author(s): Richard Larsson

Parameters:

absorption_lookup_table (AbsorptionLookupTables, optional) – Absorption lookup table for scalar gas absorption coefficients. See absorption_lookup_table, defaults to self.absorption_lookup_table [OUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
water_perturbation (AscendingGrid, optional) – , optionalWater vapor perturbation to use for the lookup table. [IN]
water_affected_species (ArrayOfSpeciesEnum, optional) – , optionalA list of absorption species that are affected by water vapor perturbations nonlinearly. [IN]
temperature_perturbation (AscendingGrid, optional) – , optionalTemperature perturbation to use for the lookup table. [IN]
max_step (Numeric, optional) – , optionalThe maximum step length. [IN]
longitude (Numeric) – The Longitude. [IN]
latitude (Numeric) – The Latitude. [IN]
extrapolation_option (String, optional) – , optionalExtrapolation option. [IN]
extended_min_pressure (Numeric, optional) – , optionalMinimum pressure to extend to. [IN]
extended_max_pressure (Numeric, optional) – , optionalMaximum pressure to extend to. [IN]

absorption_lookup_tableFromProfiles(self, absorption_lookup_table: pyarts.arts.AbsorptionLookupTables | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, ecs_data: pyarts.arts.LinemixingEcsData | None = None, pressure_profile: pyarts.arts.DescendingGrid | None = None, temperature_profile: pyarts.arts.Vector | None = None, vmr_profiles: pyarts.arts.SpeciesEnumVectors | None = None, temperature_perturbation: pyarts.arts.AscendingGrid | None = None, water_perturbation: pyarts.arts.AscendingGrid | None = None, water_affected_species: pyarts.arts.ArrayOfSpeciesEnum | None = None, default_isotopologue_ratios: pyarts.arts.String | None = None) → None

Compute the lookup table for all species in absorption_bands.

Wraps absorption_lookup_tablePrecomputeAll() after creating a simple ray_path_atmospheric_point from the input data.

Unlike absorption_lookup_tablePrecomputeAll(), this method will initialize absorption_lookup_table

Author(s): Richard Larsson

Parameters:

absorption_lookup_table (AbsorptionLookupTables, optional) – Absorption lookup table for scalar gas absorption coefficients. See absorption_lookup_table, defaults to self.absorption_lookup_table [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [IN]
pressure_profile (DescendingGrid) – Pressure profile [Pa]. [IN]
temperature_profile (Vector) – Temperature profile [K]. [IN]
vmr_profiles (SpeciesEnumVectors) – Volume mixing ratio profiles {SpeciesEnum: [VMR]}. [IN]
temperature_perturbation (AscendingGrid, optional) – , optionalTemperature perturbation to use for the lookup table. [IN]
water_perturbation (AscendingGrid, optional) – , optionalWater vapor perturbation to use for the lookup table. [IN]
water_affected_species (ArrayOfSpeciesEnum, optional) – , optionalA list of absorption species that are affected by water vapor perturbations nonlinearly. [IN]
default_isotopologue_ratios (String, optional) – , optionalDefault isotopologue ratio option to initialize the AtmPoint with. [IN]

absorption_lookup_tableInit(self, absorption_lookup_table: pyarts.arts.AbsorptionLookupTables | None = None) → None

Initialize an empty lookup table.

Author(s): Richard Larsson

Parameters:: absorption_lookup_table (AbsorptionLookupTables, optional) – Absorption lookup table for scalar gas absorption coefficients. See absorption_lookup_table, defaults to self.absorption_lookup_table [OUT]

absorption_lookup_tablePrecompute(self, absorption_lookup_table: pyarts.arts.AbsorptionLookupTables | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, ecs_data: pyarts.arts.LinemixingEcsData | None = None, temperature_perturbation: pyarts.arts.AscendingGrid | None = None, water_perturbation: pyarts.arts.AscendingGrid | None = None, select_species: pyarts.arts.SpeciesEnum | None = None) → None

Precompute the lookup table for a single species, adding it to the map.

Author(s): Richard Larsson

Parameters:

absorption_lookup_table (AbsorptionLookupTables, optional) – Absorption lookup table for scalar gas absorption coefficients. See absorption_lookup_table, defaults to self.absorption_lookup_table [INOUT]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [IN]
temperature_perturbation (AscendingGrid, optional) – , optionalTemperature perturbation to use for the lookup table. [IN]
water_perturbation (AscendingGrid, optional) – , optionalWater vapor perturbation to use for the lookup table (makes the species nonlinear). [IN]
select_species (SpeciesEnum) – The species to compute the lookup table for. [IN]

absorption_lookup_tablePrecomputeAll(self, absorption_lookup_table: pyarts.arts.AbsorptionLookupTables | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, ecs_data: pyarts.arts.LinemixingEcsData | None = None, temperature_perturbation: pyarts.arts.AscendingGrid | None = None, water_perturbation: pyarts.arts.AscendingGrid | None = None, water_affected_species: pyarts.arts.ArrayOfSpeciesEnum | None = None) → None

Compute the lookup table for all species in absorption_bands.

Wraps absorption_lookup_tablePrecompute() for each species, passing water_perturbation along for those species that are water_affected_species.

Author(s): Richard Larsson

Parameters:

absorption_lookup_table (AbsorptionLookupTables, optional) – Absorption lookup table for scalar gas absorption coefficients. See absorption_lookup_table, defaults to self.absorption_lookup_table [INOUT]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [IN]
temperature_perturbation (AscendingGrid, optional) – , optionalTemperature perturbation to use for the lookup table. [IN]
water_perturbation (AscendingGrid, optional) – , optionalWater vapor perturbation to use for the lookup table. [IN]
water_affected_species (ArrayOfSpeciesEnum, optional) – , optionalA list of absorption species that are affected by water vapor perturbations nonlinearly. [IN]

absorption_lookup_tableSimpleWide(self, absorption_lookup_table: pyarts.arts.AbsorptionLookupTables | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, ecs_data: pyarts.arts.LinemixingEcsData | None = None, water_affected_species: pyarts.arts.ArrayOfSpeciesEnum | None = None, pressure_range: pyarts.arts.Vector2 | None = None, temperature_range: pyarts.arts.Vector2 | None = None, water_vmr_range: pyarts.arts.Vector2 | None = None, isoratio_option: pyarts.arts.String | None = None, vmr_value: pyarts.arts.Numeric | None = None, atmospheric_steps: pyarts.arts.Index | None = None, temperature_perturbation_steps: pyarts.arts.Index | None = None, water_vmr_perturbation_steps: pyarts.arts.Index | None = None) → None

Set up a simple wide lookup table for all species in absorption_bands.

This method simply computes the profiles for Earth-like atmospheres (by defaults) and pass them into absorption_lookup_tableFromProfiles().

The pressure range is set up logarithmically and all other ranges are set linearly.

Author(s): Richard Larsson

Parameters:

absorption_lookup_table (AbsorptionLookupTables, optional) – Absorption lookup table for scalar gas absorption coefficients. See absorption_lookup_table, defaults to self.absorption_lookup_table [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [IN]
water_affected_species (ArrayOfSpeciesEnum, optional) – , optionalA list of absorption species that are affected by water vapor perturbations nonlinearly. [IN]
pressure_range (Vector2, optional) – , optionalPressure range to consider - in increasing order [Pa]. [IN]
temperature_range (Vector2, optional) – , optionalTemperature range to consider - in increasing order [K]. [IN]
water_vmr_range (Vector2, optional) – , optionalWater VMR range to consider - in increasing order [vmr]. [IN]
isoratio_option (String, optional) – , optionalDefault isotopologue ratio option to initialize the AtmPoint with. [IN]
vmr_value (Numeric, optional) – , optionalThe VMR to use for the self-value broadening. [IN]
atmospheric_steps (Index, optional) – , optionalNumber of steps in the atmospheric profile. [IN]
temperature_perturbation_steps (Index, optional) – , optionalNumber of steps in the temperature perturbation. [IN]
water_vmr_perturbation_steps (Index, optional) – , optionalNumber of steps in the water vapor perturbation. [IN]

absorption_predefined_model_dataAddWaterMTCKD400(self, absorption_predefined_model_data: pyarts.arts.PredefinedModelData | None = None, ref_temp: pyarts.arts.Numeric | None = None, ref_press: pyarts.arts.Numeric | None = None, ref_h2o_vmr: pyarts.arts.Numeric | None = None, self_absco_ref: pyarts.arts.Vector | None = None, for_absco_ref: pyarts.arts.Vector | None = None, wavenumbers: pyarts.arts.Vector | None = None, self_texp: pyarts.arts.Vector | None = None) → None

Sets the data for MT CKD 4.0 Water model

Note that the vectors must have the same length, and that wavenumbers must be growing at a constant rate. The minimum length is 4.

Note also that as this is predefined model data, the units of the values of the vectors must be as described by each vector.

Author(s): Richard Larsson

Parameters:

absorption_predefined_model_data (PredefinedModelData, optional) – This contains predefined model data. See absorption_predefined_model_data, defaults to self.absorption_predefined_model_data [INOUT]
ref_temp (Numeric) – Reference temperature. [IN]
ref_press (Numeric) – Reference pressure. [IN]
ref_h2o_vmr (Numeric) – Reference volume mixing ratio of water. [IN]
self_absco_ref (Vector) – Self absorption [1/(cm-1 molecules/cm^2]. [IN]
for_absco_ref (Vector) – Foreign absorption [1/(cm-1 molecules/cm^2)]. [IN]
wavenumbers (Vector) – Wavenumbers [cm-1]. [IN]
self_texp (Vector) – Self temperature exponent [-]. [IN]

absorption_predefined_model_dataInit(self, absorption_predefined_model_data: pyarts.arts.PredefinedModelData | None = None) → None

Initialize the predefined model data

Author(s): Richard Larsson

Parameters:: absorption_predefined_model_data (PredefinedModelData, optional) – This contains predefined model data. See absorption_predefined_model_data, defaults to self.absorption_predefined_model_data [OUT]

absorption_predefined_model_dataReadSpeciesSplitCatalog(self, absorption_predefined_model_data: pyarts.arts.PredefinedModelData | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, basename: pyarts.arts.String | None = None, name_missing: pyarts.arts.Index | None = None, ignore_missing: pyarts.arts.Index | None = None) → None

Reads absorption_predefined_model_data catalog but only for absorption_species

If name_missing is true, missing models are set to named model, which is the most common form of a predefined model.

Author(s): Richard Larsson

Parameters:

absorption_predefined_model_data (PredefinedModelData, optional) – This contains predefined model data. See absorption_predefined_model_data, defaults to self.absorption_predefined_model_data [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
basename (String) – The path to the split catalog files. [IN]
name_missing (Index, optional) – , optionalFlag to name models that are missing. [IN]
ignore_missing (Index, optional) – , optionalFlag to otherwise (if not name_missing is true) ignore missing models. [IN]

absorption_speciesDefineAll(self, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None) → None

Sets absorption_species [i][0] to all species in ARTS

Author(s): Richard Larsson

Parameters:: absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [OUT]

absorption_speciesSet(self, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, species: pyarts.arts.ArrayOfString | None = None) → None

Set up a list of absorption species tag groups.

Workspace variables like absorption_species contain several tag groups. Each tag group contains one or more tags. This method converts descriptions of tag groups given in the keyword to the ARTS internal representation (an ArrayOfArrayOfSpeciesTag). A tag group selects spectral features which belong to the same species.

A tag is defined in terms of the name of the species, isotopologue, and a range of frequencies. Species are named after the standard chemical names, e.g., "O3". Isotopologues are given by the last digit of the atomic weight, i.g., "O3-668" for the asymmetric ozone molecule including an oxygen 18 atom. Groups of transitions are specified by giving a lower and upper limit of a frequency range, e.g., "O3-666-500e9-501e9".

The symbol "*" acts as a wild card. Furthermore, frequency range or frequency range and isotopologue may be omitted.

Example:

>>> species = [ "O3-666-500e9-501e9, O3-686", "O3", "H2O-PWR98" ]

The first tag group selects all O3-666 lines between 500 and 501 GHz plus all O3-686 lines.

The second tag group selects all remaining O3 transitions.

The third tag group selects H2O, with one of the complete absorption models (Rosenkranz 98). No spectrocopic line catalogue data will be used for that third tag group. For more available full absorption models see propagation_matrixAddPredefined()

Note that order of tag groups in the species list matters. In our example, changing the order of the first two tag group will give different results: as "O3" already selects all O3 transitions, no lines will remain to be selected by the "O3-666-500e9-501e9, O3-686" tag.

For CIA species the tag consists of the two involved species and a dataset index. CIA species can be defined for multiple regions The dataset index determines which region to use from the corresponding CIARecord in absorption_cia_data.

Example

>>> species = [ "N2-CIA-N2-0, N2-CIA-N2-1" ]

For Hitran cross section species the tag consists of the species and the tagtype XFIT, e.g. CFC11-XFIT. The data for the species must be available in the absorption_xsec_fit_data variable.

Author(s): Stefan Buehler

Parameters:

absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [OUT]
species (ArrayOfString) – Specify one String for each tag group that you want to create. Inside the String, separate the tags by commas (plus optional blanks). [IN]

absorption_xsec_fit_dataReadSpeciesSplitCatalog(self, absorption_xsec_fit_data: pyarts.arts.ArrayOfXsecRecord | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, basename: pyarts.arts.String | None = None, ignore_missing: pyarts.arts.Index | None = None) → None

Reads HITRAN Crosssection coefficients

Reads coefficient files for HITRAN Xsec species defined in absorption_species.

Author(s): Oliver Lemke

Parameters:

absorption_xsec_fit_data (ArrayOfXsecRecord, optional) – Fitting model coefficients for cross section species. See absorption_xsec_fit_data, defaults to self.absorption_xsec_fit_data [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
basename (String) – Basepath to the files. [IN]
ignore_missing (Index, optional) – , optionalIgnore missing files (0: no, 1: yes). [IN]

atmospheric_fieldAppendAbsorptionData(self, atmospheric_field: pyarts.arts.AtmField | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, missing_is_zero: pyarts.arts.Index | None = None, replace_existing: pyarts.arts.Index | None = None, load_isot: pyarts.arts.Index | None = None, load_nlte: pyarts.arts.Index | None = None) → None

Append data to the atmospheric field based all absorption data

See InterpolationExtrapolation for valid extrapolation.

Wraps:

atmospheric_fieldAppendLineSpeciesData() if the workspace contains absorption_bands
atmospheric_fieldAppendLineIsotopologueData() if load_isot is true and if the workspace contains absorption_bands
atmospheric_fieldAppendLineLevelData() if load_nlte is true and if the workspace contains absorption_bands
atmospheric_fieldAppendTagsSpeciesData() if the workspace contains absorption_species
atmospheric_fieldAppendLookupTableSpeciesData if the workspace contains absorption_species
atmospheric_fieldAppendCIASpeciesData() if the workspace contains absorption_cia_data
atmospheric_fieldAppendXsecSpeciesData() if the workspace contains absorption_xsec_fit_data
atmospheric_fieldAppendPredefSpeciesData() if the workspace contains absorption_predefined_model_data

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]
load_isot (Index, optional) – , optionalWhether or not to load isotopologue data. [IN]
load_nlte (Index, optional) – , optionalWhether or not to load NLTE data. [IN]

atmospheric_fieldAppendBaseData(self, atmospheric_field: pyarts.arts.AtmField | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, deal_with_field_component: pyarts.arts.String | None = None, replace_existing: pyarts.arts.Index | None = None, allow_missing_pressure: pyarts.arts.Index | None = None, allow_missing_temperature: pyarts.arts.Index | None = None) → None

Append base data to the atmospheric field

This will look at the valid basename for files matching base data. The base data file names are of the form

“…t.xml”
“…p.xml”
“…wind_u.xml”
“…wind_v.xml”
“…wind_w.xml”
“…mag_u.xml”
“…mag_v.xml”
“…mag_w.xml”

If any of these files are found, they are appended to the atmospheric field.

See InterpolationExtrapolation for valid extrapolation.

See MissingFieldComponentError for valid deal_with_field_component.

The replace_existing is used to determine if the data should be replaced if it already exists in the atmospheric field.

The allow_missing_pressure and allow_missing_temperature are used to determine if the method should throw if the pressure or temperature is missing.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
deal_with_field_component (String, optional) – , optionalHow to deal with the field component. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]
allow_missing_pressure (Index, optional) – , optionalWhether or not to allow missing pressure data. [IN]
allow_missing_temperature (Index, optional) – , optionalWhether or not to allow missing temperature data. [IN]

atmospheric_fieldAppendCIASpeciesData(self, atmospheric_field: pyarts.arts.AtmField | None = None, absorption_cia_data: pyarts.arts.ArrayOfCIARecord | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, missing_is_zero: pyarts.arts.Index | None = None, replace_existing: pyarts.arts.Index | None = None) → None

Append species data to the atmospheric field based on collision-induced data data

This will look at the valid basename for files matching base data. The base data file names are of the short-name form: “species.xml” (e.g., “H2O.xml”). See SpeciesEnum for valid short names.

See InterpolationExtrapolation for valid extrapolation.

The missing_is_zero sets missing data to zero.

The replace_existing is used to determine if the data should be replaced if it already exists in the atmospheric field.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
absorption_cia_data (ArrayOfCIARecord, optional) – HITRAN Collision Induced Absorption (CIA) Data. See absorption_cia_data, defaults to self.absorption_cia_data [IN]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]

atmospheric_fieldAppendLineIsotopologueData(self, atmospheric_field: pyarts.arts.AtmField | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, missing_is_zero: pyarts.arts.Index | None = None, replace_existing: pyarts.arts.Index | None = None) → None

Append isotopologue data to the atmospheric field based on line data

This will look at the valid basename for files matching base data. The base data file names are of the form: “species-n.xml” (e.g., “H2O-161.xml”). See SpeciesIsotopeRecord for valid isotopologue names.

See InterpolationExtrapolation for valid extrapolation.

The missing_is_zero sets missing data to zero.

The replace_existing is used to determine if the data should be replaced if it already exists in the atmospheric field.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]

atmospheric_fieldAppendLineLevelData(self, atmospheric_field: pyarts.arts.AtmField | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, missing_is_zero: pyarts.arts.Index | None = None, replace_existing: pyarts.arts.Index | None = None) → None

Append NLTE data to the atmospheric field based on line data

This will look at the valid basename for files matching base data. The base data file names are of the form: “species-n QN1 N1 N1 QN2 N2 N2.xml” (e.g., “O2-66 J 1 1 N 0 0.xml”). See SpeciesIsotopeRecord for valid isotopologue names and QuantumNumberValue for valid quantum numbers.

See InterpolationExtrapolation for valid extrapolation.

The missing_is_zero sets missing data to zero.

The replace_existing is used to determine if the data should be replaced if it already exists in the atmospheric field.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]

atmospheric_fieldAppendLineSpeciesData(self, atmospheric_field: pyarts.arts.AtmField | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, missing_is_zero: pyarts.arts.Index | None = None, replace_existing: pyarts.arts.Index | None = None) → None

Append species data to the atmospheric field based on line data

This will look at the valid basename for files matching base data. The base data file names are of the short-name form: “species.xml” (e.g., “H2O.xml”). See SpeciesEnum for valid short names.

See InterpolationExtrapolation for valid extrapolation.

The missing_is_zero sets missing data to zero.

The replace_existing is used to determine if the data should be replaced if it already exists in the atmospheric field.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]

atmospheric_fieldAppendPredefSpeciesData(self, atmospheric_field: pyarts.arts.AtmField | None = None, absorption_predefined_model_data: pyarts.arts.PredefinedModelData | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, missing_is_zero: pyarts.arts.Index | None = None, replace_existing: pyarts.arts.Index | None = None) → None

Append species data to the atmospheric field based on predefined model data

This will look at the valid basename for files matching base data. The base data file names are of the short-name form: “species.xml” (e.g., “H2O.xml”). See SpeciesEnum for valid short names.

See InterpolationExtrapolation for valid extrapolation.

The missing_is_zero sets missing data to zero.

The replace_existing is used to determine if the data should be replaced if it already exists in the atmospheric field.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
absorption_predefined_model_data (PredefinedModelData, optional) – This contains predefined model data. See absorption_predefined_model_data, defaults to self.absorption_predefined_model_data [IN]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]

atmospheric_fieldAppendTagsSpeciesData(self, atmospheric_field: pyarts.arts.AtmField | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, missing_is_zero: pyarts.arts.Index | None = None, replace_existing: pyarts.arts.Index | None = None) → None

Append species data to the atmospheric field based on species data

This will look at the valid basename for files matching base data. The base data file names are of the short-name form: “species.xml” (e.g., “H2O.xml”). See SpeciesEnum for valid short names.

See InterpolationExtrapolation for valid extrapolation.

The missing_is_zero sets missing data to zero.

The replace_existing is used to determine if the data should be replaced if it already exists in the atmospheric field.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]

atmospheric_fieldAppendXsecSpeciesData(self, atmospheric_field: pyarts.arts.AtmField | None = None, absorption_xsec_fit_data: pyarts.arts.ArrayOfXsecRecord | None = None, basename: pyarts.arts.String | None = None, extrapolation: pyarts.arts.String | None = None, missing_is_zero: pyarts.arts.Index | None = None, replace_existing: pyarts.arts.Index | None = None) → None

Append species data to the atmospheric field based on cross-section data

This will look at the valid basename for files matching base data. The base data file names are of the short-name form: “species.xml” (e.g., “H2O.xml”). See SpeciesEnum for valid short names.

See InterpolationExtrapolation for valid extrapolation.

The missing_is_zero sets missing data to zero.

The replace_existing is used to determine if the data should be replaced if it already exists in the atmospheric field.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
absorption_xsec_fit_data (ArrayOfXsecRecord, optional) – Fitting model coefficients for cross section species. See absorption_xsec_fit_data, defaults to self.absorption_xsec_fit_data [IN]
basename (String) – The base name of the files. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
replace_existing (Index, optional) – , optionalWhether or not to replace existing data. [IN]

atmospheric_fieldFromModelState(self, atmospheric_field: pyarts.arts.AtmField | None = None, model_state_vector: pyarts.arts.Vector | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets atmospheric_field to the state of the model.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

atmospheric_fieldHydrostaticPressure(self, atmospheric_field: pyarts.arts.AtmField | None = None, gravity_operator: pyarts.arts.NumericTernaryOperator | None = None, p0: pyarts.arts.GriddedField2 | pyarts.arts.Numeric | None = None, alts: pyarts.arts.Vector | None = None, fixed_specific_gas_constant: pyarts.arts.Numeric | None = None, fixed_atmospheric_temperature: pyarts.arts.Numeric | None = None, hydrostatic_option: pyarts.arts.String | None = None) → None

Add the hydrostatic pressure to the atmospheric field

The field must already be able to compute temperature as a function of altitude, latitude, and longitude.

If it also contains species data, the species are used to compute the average mass of the atmospheric molecules to get the specific gas constant. Note that this can also be overwritte with a positive value for the equivalent GIN.

The alts vector contains the altitude grid values that limits the extrapolation distance in altitude. The first altitude in this list should corresond to the altitude of the p0 grid. The extrapolation outside of this range simply uses the hydrostatic equation $P_1 = P_0 - g * h * rho$ by means of the specific gas constant omputed as desribed above and the pressure of the lower or first altitude level.

See HydrostaticPressureOption for valid hydrostatic_option.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
gravity_operator (NumericTernaryOperator, optional) – The gravity operator. See gravity_operator, defaults to self.gravity_operator [IN]
p0 (GriddedField2,Numeric) – Lowest altitude pressure field. [IN]
alts (Vector) – Altitude vector. [IN]
fixed_specific_gas_constant (Numeric, optional) – , optionalSpecific gas constant if larger than 0. [IN]
fixed_atmospheric_temperature (Numeric, optional) – , optionalConstant atmospheric temprature if larger than 0. [IN]
hydrostatic_option (String, optional) – , optionalComputational option for levels, [HydrostaticEquation, HypsometricEquation]. [IN]

atmospheric_fieldIGRF(self, atmospheric_field: pyarts.arts.AtmField | None = None, time: pyarts.arts.Time | None = None) → None

Use IGRF to compute the magnetic field at each point.

The IGRF model is a model of the Earth’s magnetic field. It is based on spherical harmonics and is only valid for a limited time period.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
time (Time, optional) – , optionalTime of data to use. [IN]

atmospheric_fieldInit(self, atmospheric_field: pyarts.arts.AtmField | None = None, toa: pyarts.arts.Numeric | None = None, default_isotopologue: pyarts.arts.String | None = None) → None

Initialize the atmospheric field with some altitude and isotopologue ratios

See IsoRatioOption for valid default_isotopologue.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [OUT]
toa (Numeric) – Top of atmosphere altitude [m]. [IN]
default_isotopologue (String, optional) – , optionalDefault option for the isotopologue ratios. [IN]

atmospheric_fieldRead(self, atmospheric_field: pyarts.arts.AtmField | None = None, toa: pyarts.arts.Numeric | None = None, missing_is_zero: pyarts.arts.Index | None = None, load_nlte: pyarts.arts.Index | None = None, load_isot: pyarts.arts.Index | None = None, extrapolation: pyarts.arts.String | None = None, default_isotopologue: pyarts.arts.String | None = None, deal_with_field_component: pyarts.arts.String | None = None, basename: pyarts.arts.String | None = None, allow_missing_temperature: pyarts.arts.Index | None = None, allow_missing_pressure: pyarts.arts.Index | None = None) → None

Reads absorption file from a directory

Wrapper calling Methods (in order):

atmospheric_fieldInit()

atmospheric_fieldAppendBaseData()

atmospheric_fieldAppendAbsorptionData()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.atmospheric_fieldInit()
 ws.atmospheric_fieldAppendBaseData()
 ws.atmospheric_fieldAppendAbsorptionData()

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [OUT]
toa (Numeric) – Top of atmosphere altitude [m]. [IN]
missing_is_zero (Index, optional) – , optionalWhether or not to zero-out missing data. [IN]
load_nlte (Index, optional) – , optionalWhether or not to load NLTE data. [IN]
load_isot (Index, optional) – , optionalWhether or not to load isotopologue data. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use. [IN]
default_isotopologue (String, optional) – , optionalDefault option for the isotopologue ratios. [IN]
deal_with_field_component (String, optional) – , optionalHow to deal with the field component. [IN]
basename (String) – The base name of the files. [IN]
allow_missing_temperature (Index, optional) – , optionalWhether or not to allow missing temperature data. [IN]
allow_missing_pressure (Index, optional) – , optionalWhether or not to allow missing pressure data. [IN]

Regrid the input atmospheric field parameter to a new grid.

The atmospheric field parameter will have a GriddedField3 with the input grid after the regridding.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
parameter (AtmKey,SpeciesEnum,SpeciesIsotope,QuantumIdentifier,ScatteringSpeciesProperty) – The parameter to regrid. [IN]
alt (AscendingGrid) – The altitude grid. [IN]
lat (AscendingGrid) – The latitude grid. [IN]
lon (AscendingGrid) – The longitude grid. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use (post regridding - pre regridding the current extrapolation is used). [IN]

atmospheric_fieldRegridAll(self, atmospheric_field: pyarts.arts.AtmField | None = None, alt: pyarts.arts.AscendingGrid | None = None, lat: pyarts.arts.AscendingGrid | None = None, lon: pyarts.arts.AscendingGrid | None = None, extrapolation: pyarts.arts.String | None = None) → None

Regrid all parameters of the input atmospheric field to a new grid

The atmospheric field will have a GriddedField3 with the input grid after the regridding at all positions.

Author(s): Richard Larsson

Parameters:

atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [INOUT]
alt (AscendingGrid) – The altitude grid. [IN]
lat (AscendingGrid) – The latitude grid. [IN]
lon (AscendingGrid) – The longitude grid. [IN]
extrapolation (String, optional) – , optionalThe extrapolation to use (post regridding - pre regridding the current extrapolation is used). [IN]

atmospheric_pointInit(self, atmospheric_point: pyarts.arts.AtmPoint | None = None, default_isotopologue: pyarts.arts.String | None = None) → None

Initialize an atmospheric point with some isotopologue ratios

See IsoRatioOption for valid default_isotopologue.

Author(s): Richard Larsson

Parameters:

atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [OUT]
default_isotopologue (String, optional) – , optionalDefault option for the isotopologue ratios. [IN]

disort_settingsCosmicMicrowaveBackgroundRadiation(self, disort_settings: pyarts.arts.DisortSettings | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None) → None

Space radiation into Disort is isotropic cosmic background radiation.

Author(s): Richard Larsson

Parameters:

disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]

disort_settingsInit(self, disort_settings: pyarts.arts.DisortSettings | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, disort_quadrature_dimension: pyarts.arts.Index | None = None, disort_fourier_mode_dimension: pyarts.arts.Index | None = None, disort_legendre_polynomial_dimension: pyarts.arts.Index | None = None) → None

Perform Disort calculations for spectral flux.

Author(s): Richard Larsson

Parameters:

disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
disort_quadrature_dimension (Index, optional) – The quadrature size for Disort. See disort_quadrature_dimension, defaults to self.disort_quadrature_dimension [IN]
disort_fourier_mode_dimension (Index, optional) – The number of Fourier modes for Disort. See disort_fourier_mode_dimension, defaults to self.disort_fourier_mode_dimension [IN]
disort_legendre_polynomial_dimension (Index, optional) – The number of input Legendre polynimials for Disort. See disort_legendre_polynomial_dimension, defaults to self.disort_legendre_polynomial_dimension [IN]

disort_settingsLayerThermalEmissionLinearInTau(self, disort_settings: pyarts.arts.DisortSettings | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None) → None

Use a source function that changes linearly in optical thickness.

Note that you must have set the optical thickness before calling this.

Author(s): Richard Larsson

Parameters:

disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]

disort_settingsNoFractionalScattering(self, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Turns off fractional scattering in Disort calculations.

Author(s): Richard Larsson

Parameters:: disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]

disort_settingsNoLayerThermalEmission(self, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Turns off source radiation in Disort calculations.

Author(s): Richard Larsson

Parameters:: disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]

disort_settingsNoLegendre(self, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Turns off Legendre coefficients in Disort calculations.

Author(s): Richard Larsson

Parameters:: disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]

disort_settingsNoSingleScatteringAlbedo(self, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Turns off single albedo scattering in Disort calculations.

Author(s): Richard Larsson

Parameters:: disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]

disort_settingsNoSpaceEmission(self, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Turns off boundary condition from space for Disort calculations.

Author(s): Richard Larsson

Parameters:: disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]

disort_settingsNoSun(self, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Turns off solar radiation in Disort calculations.

Author(s): Richard Larsson

Parameters:: disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]

disort_settingsNoSurfaceEmission(self, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Turns boundary condition from surface for Disort calculations.

Author(s): Richard Larsson

Parameters:: disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]

disort_settingsNoSurfaceScattering(self, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Turns off BDRF in Disort calculations.

Author(s): Richard Larsson

Parameters:: disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]

disort_settingsOpticalThicknessFromPath(self, disort_settings: pyarts.arts.DisortSettings | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, ray_path_propagation_matrix: pyarts.arts.ArrayOfPropmatVector | None = None) → None

Get optical thickness from path.

Author(s): Richard Larsson

Parameters:

disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
ray_path_propagation_matrix (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path. See ray_path_propagation_matrix, defaults to self.ray_path_propagation_matrix [IN]

disort_settingsSetSun(self, disort_settings: pyarts.arts.DisortSettings | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, surface_field: pyarts.arts.SurfaceField | None = None, sun: pyarts.arts.Sun | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None) → None

Uses Set the FOV to the sun input for Disort calculations.

Author(s): Richard Larsson

Parameters:

disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
sun (Sun, optional) – A sun. See sun, defaults to self.sun [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]

disort_settingsSurfaceEmissionByTemperature(self, disort_settings: pyarts.arts.DisortSettings | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, surface_field: pyarts.arts.SurfaceField | None = None) → None

Surface radiation into Disort is isotropic from surface temperature.

Author(s): Richard Larsson

Parameters:

disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]

disort_settingsSurfaceLambertian(self, disort_settings: pyarts.arts.DisortSettings | None = None, value: pyarts.arts.Numeric | None = None) → None

Turns off BDRF in Disort calculations.

Author(s): Richard Larsson

Parameters:

disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [INOUT]
value (Numeric) – The value of the BDRF in all directions. [IN]

disort_settings_agendaExecute(self, disort_settings: pyarts.arts.DisortSettings | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, disort_quadrature_dimension: pyarts.arts.Index | None = None, disort_fourier_mode_dimension: pyarts.arts.Index | None = None, disort_legendre_polynomial_dimension: pyarts.arts.Index | None = None, disort_settings_agenda: pyarts.arts.Agenda | None = None) → None

Executes disort_settings_agenda, see it for more details

Author(s): Automatically Generated

Parameters:

disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
disort_quadrature_dimension (Index, optional) – The quadrature size for Disort. See disort_quadrature_dimension, defaults to self.disort_quadrature_dimension [IN]
disort_fourier_mode_dimension (Index, optional) – The number of Fourier modes for Disort. See disort_fourier_mode_dimension, defaults to self.disort_fourier_mode_dimension [IN]
disort_legendre_polynomial_dimension (Index, optional) – The number of input Legendre polynimials for Disort. See disort_legendre_polynomial_dimension, defaults to self.disort_legendre_polynomial_dimension [IN]
disort_settings_agenda (Agenda, optional) – An agenda for setting up Disort. See disort_settings_agenda, defaults to self.disort_settings_agenda [IN]

disort_settings_agendaSet(self, disort_settings_agenda: pyarts.arts.Agenda | None = None, option: pyarts.arts.String | None = None) → None

Sets disort_settings_agenda

See disort_settings_agendaPredefined for valid option

Author(s): Richard Larsson

Parameters:

disort_settings_agenda (Agenda, optional) – An agenda for setting up Disort. See disort_settings_agenda, defaults to self.disort_settings_agenda [OUT]
option (String) – Default agenda option (see description). [IN]

disort_spectral_flux_fieldCalc(self, disort_spectral_flux_field: pyarts.arts.Tensor3 | None = None, disort_settings: pyarts.arts.DisortSettings | None = None) → None

Perform Disort calculations for spectral flux.

Author(s): Richard Larsson

Parameters:

disort_spectral_flux_field (Tensor3, optional) – The spectral flux field from Disort. See disort_spectral_flux_field, defaults to self.disort_spectral_flux_field [OUT]
disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [IN]

disort_spectral_flux_fieldFromAgenda(self, disort_spectral_flux_field: pyarts.arts.Tensor3 | None = None, disort_fourier_mode_dimension: pyarts.arts.Index | None = None, disort_legendre_polynomial_dimension: pyarts.arts.Index | None = None, disort_quadrature_dimension: pyarts.arts.Index | None = None, disort_settings_agenda: pyarts.arts.Agenda | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None) → None

Use Disort for clearsky calculations of spectral flux field

Wrapper calling Methods (in order):

disort_settings_agendaExecute()

disort_spectral_flux_fieldCalc()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.disort_settings_agendaExecute()
 ws.disort_spectral_flux_fieldCalc()

Author(s): Richard Larsson, Automatically Generated

Parameters:

disort_spectral_flux_field (Tensor3, optional) – The spectral flux field from Disort. See disort_spectral_flux_field, defaults to self.disort_spectral_flux_field [OUT]
disort_fourier_mode_dimension (Index, optional) – The number of Fourier modes for Disort. See disort_fourier_mode_dimension, defaults to self.disort_fourier_mode_dimension [IN]
disort_legendre_polynomial_dimension (Index, optional) – The number of input Legendre polynimials for Disort. See disort_legendre_polynomial_dimension, defaults to self.disort_legendre_polynomial_dimension [IN]
disort_quadrature_dimension (Index, optional) – The quadrature size for Disort. See disort_quadrature_dimension, defaults to self.disort_quadrature_dimension [IN]
disort_settings_agenda (Agenda, optional) – An agenda for setting up Disort. See disort_settings_agenda, defaults to self.disort_settings_agenda [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]

disort_spectral_flux_fieldSunlessClearsky(self, disort_spectral_flux_field: pyarts.arts.Tensor3 | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, disort_fourier_mode_dimension: pyarts.arts.Index | None = None, disort_legendre_polynomial_dimension: pyarts.arts.Index | None = None, disort_quadrature_dimension: pyarts.arts.Index | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, surface_field: pyarts.arts.SurfaceField | None = None, max_step: pyarts.arts.Numeric | None = None, longitude: pyarts.arts.Numeric | None = None, latitude: pyarts.arts.Numeric | None = None) → None

Use Disort for clearsky calculations of spectral flux field

Wrapper calling Methods (in order):

ray_pathGeometricUplooking()

disort_settings_agendaSet()

disort_spectral_flux_fieldFromAgenda()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.ray_pathGeometricUplooking()
 ws.disort_settings_agendaSet()
 ws.disort_spectral_flux_fieldFromAgenda()

Author(s): Richard Larsson, Automatically Generated

Parameters:

disort_spectral_flux_field (Tensor3, optional) – The spectral flux field from Disort. See disort_spectral_flux_field, defaults to self.disort_spectral_flux_field [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
disort_fourier_mode_dimension (Index, optional) – The number of Fourier modes for Disort. See disort_fourier_mode_dimension, defaults to self.disort_fourier_mode_dimension [IN]
disort_legendre_polynomial_dimension (Index, optional) – The number of input Legendre polynimials for Disort. See disort_legendre_polynomial_dimension, defaults to self.disort_legendre_polynomial_dimension [IN]
disort_quadrature_dimension (Index, optional) – The quadrature size for Disort. See disort_quadrature_dimension, defaults to self.disort_quadrature_dimension [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
max_step (Numeric, optional) – , optionalThe maximum step length. [IN]
longitude (Numeric) – The Longitude. [IN]
latitude (Numeric) – The Latitude. [IN]

disort_spectral_radiance_fieldCalc(self, disort_spectral_radiance_field: pyarts.arts.Tensor4 | None = None, disort_quadrature_angles: pyarts.arts.Vector | None = None, disort_quadrature_weights: pyarts.arts.Vector | None = None, disort_settings: pyarts.arts.DisortSettings | None = None, phis: pyarts.arts.Vector | None = None) → None

Perform Disort calculations for spectral radiance.

Author(s): Richard Larsson

Parameters:

disort_spectral_radiance_field (Tensor4, optional) – The spectral radiance field from Disort. See disort_spectral_radiance_field, defaults to self.disort_spectral_radiance_field [OUT]
disort_quadrature_angles (Vector, optional) – The quadrature angles for Disort. See disort_quadrature_angles, defaults to self.disort_quadrature_angles [OUT]
disort_quadrature_weights (Vector, optional) – The quadrature weights for Disort. See disort_quadrature_weights, defaults to self.disort_quadrature_weights [OUT]
disort_settings (DisortSettings, optional) – Contains the full settings of spectral Disort calculations. See disort_settings, defaults to self.disort_settings [IN]
phis (Vector, optional) – , optionalThe azimuthal angles. [IN]

disort_spectral_radiance_fieldFromAgenda(self, disort_spectral_radiance_field: pyarts.arts.Tensor4 | None = None, disort_quadrature_angles: pyarts.arts.Vector | None = None, disort_quadrature_weights: pyarts.arts.Vector | None = None, disort_fourier_mode_dimension: pyarts.arts.Index | None = None, disort_legendre_polynomial_dimension: pyarts.arts.Index | None = None, disort_quadrature_dimension: pyarts.arts.Index | None = None, disort_settings_agenda: pyarts.arts.Agenda | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, phis: pyarts.arts.Vector | None = None) → None

Use the disort settings agenda to calculate spectral radiance

Wrapper calling Methods (in order):

disort_settings_agendaExecute()

disort_spectral_radiance_fieldCalc()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.disort_settings_agendaExecute()
 ws.disort_spectral_radiance_fieldCalc()

Author(s): Richard Larsson, Automatically Generated

Parameters:

disort_spectral_radiance_field (Tensor4, optional) – The spectral radiance field from Disort. See disort_spectral_radiance_field, defaults to self.disort_spectral_radiance_field [OUT]
disort_quadrature_angles (Vector, optional) – The quadrature angles for Disort. See disort_quadrature_angles, defaults to self.disort_quadrature_angles [OUT]
disort_quadrature_weights (Vector, optional) – The quadrature weights for Disort. See disort_quadrature_weights, defaults to self.disort_quadrature_weights [OUT]
disort_fourier_mode_dimension (Index, optional) – The number of Fourier modes for Disort. See disort_fourier_mode_dimension, defaults to self.disort_fourier_mode_dimension [IN]
disort_legendre_polynomial_dimension (Index, optional) – The number of input Legendre polynimials for Disort. See disort_legendre_polynomial_dimension, defaults to self.disort_legendre_polynomial_dimension [IN]
disort_quadrature_dimension (Index, optional) – The quadrature size for Disort. See disort_quadrature_dimension, defaults to self.disort_quadrature_dimension [IN]
disort_settings_agenda (Agenda, optional) – An agenda for setting up Disort. See disort_settings_agenda, defaults to self.disort_settings_agenda [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
phis (Vector, optional) – , optionalThe azimuthal angles. [IN]

disort_spectral_radiance_fieldSunlessClearsky(self, disort_spectral_radiance_field: pyarts.arts.Tensor4 | None = None, disort_quadrature_angles: pyarts.arts.Vector | None = None, disort_quadrature_weights: pyarts.arts.Vector | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, disort_fourier_mode_dimension: pyarts.arts.Index | None = None, disort_legendre_polynomial_dimension: pyarts.arts.Index | None = None, disort_quadrature_dimension: pyarts.arts.Index | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, surface_field: pyarts.arts.SurfaceField | None = None, phis: pyarts.arts.Vector | None = None, max_step: pyarts.arts.Numeric | None = None, longitude: pyarts.arts.Numeric | None = None, latitude: pyarts.arts.Numeric | None = None) → None

Use Disort for clearsky calculations of spectral flux field

Wrapper calling Methods (in order):

ray_pathGeometricDownlooking()

disort_settings_agendaSet()

disort_spectral_radiance_fieldFromAgenda()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.ray_pathGeometricDownlooking()
 ws.disort_settings_agendaSet()
 ws.disort_spectral_radiance_fieldFromAgenda()

Author(s): Richard Larsson, Automatically Generated

Parameters:

disort_spectral_radiance_field (Tensor4, optional) – The spectral radiance field from Disort. See disort_spectral_radiance_field, defaults to self.disort_spectral_radiance_field [OUT]
disort_quadrature_angles (Vector, optional) – The quadrature angles for Disort. See disort_quadrature_angles, defaults to self.disort_quadrature_angles [OUT]
disort_quadrature_weights (Vector, optional) – The quadrature weights for Disort. See disort_quadrature_weights, defaults to self.disort_quadrature_weights [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
disort_fourier_mode_dimension (Index, optional) – The number of Fourier modes for Disort. See disort_fourier_mode_dimension, defaults to self.disort_fourier_mode_dimension [IN]
disort_legendre_polynomial_dimension (Index, optional) – The number of input Legendre polynimials for Disort. See disort_legendre_polynomial_dimension, defaults to self.disort_legendre_polynomial_dimension [IN]
disort_quadrature_dimension (Index, optional) – The quadrature size for Disort. See disort_quadrature_dimension, defaults to self.disort_quadrature_dimension [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
phis (Vector, optional) – , optionalThe azimuthal angles. [IN]
max_step (Numeric, optional) – , optionalThe maximum step length. [IN]
longitude (Numeric) – The Longitude. [IN]
latitude (Numeric) – The Latitude. [IN]

ecs_dataAddMakarov2020(self, ecs_data: pyarts.arts.LinemixingEcsData | None = None) → None

Sets the O2-66 microwave band data for ECS.

Author(s): Richard Larsson

Parameters:: ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [INOUT]

ecs_dataAddMeanAir(self, ecs_data: pyarts.arts.LinemixingEcsData | None = None, vmrs: pyarts.arts.Vector | None = None, species: pyarts.arts.ArrayOfSpeciesEnum | None = None) → None

Sets ECS data for air from other data if available.

Author(s): Richard Larsson

Parameters:

ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [INOUT]
vmrs (Vector) – VMRs of air species. [IN]
species (ArrayOfSpeciesEnum) – Air species. [IN]

ecs_dataAddRodrigues1997(self, ecs_data: pyarts.arts.LinemixingEcsData | None = None) → None

Sets the CO2-626, CO2-628, and CO2-636 band data for ECS.

Sets N2 and O2 speces

Author(s): Richard Larsson

Parameters:: ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [INOUT]

ecs_dataAddTran2011(self, ecs_data: pyarts.arts.LinemixingEcsData | None = None) → None

Sets the CO2-626, CO2-628, and CO2-636 band data for ECS.

Sets CO2 species

Author(s): Richard Larsson

Parameters:: ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [INOUT]

ecs_dataInit(self, ecs_data: pyarts.arts.LinemixingEcsData | None = None) → None

Resets/initializes the ECS data.

Author(s): Richard Larsson

Parameters:: ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [OUT]

frequency_gridWindShift(self, frequency_grid: pyarts.arts.AscendingGrid | None = None, frequency_grid_wind_shift_jacobian: pyarts.arts.Vector3 | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None) → None

Applies wind shift to the frequency_grid for the local frequency grid.

Also sets frequency_grid_wind_shift_jacobian.

If the wind is 0 or nan

Author(s): Richard Larsson

Parameters:

frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [INOUT]
frequency_grid_wind_shift_jacobian (Vector3, optional) – The frequency grid wind shift Jacobian. See frequency_grid_wind_shift_jacobian, defaults to self.frequency_grid_wind_shift_jacobian [OUT]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]

get(self, name: str) → pyarts.arts.PolarizationChoice | pyarts.arts.MoonEllipsoid | pyarts.arts.JupiterEllipsoid | pyarts.arts.IoEllipsoid | pyarts.arts.EarthEllipsoid | pyarts.arts.MarsEllipsoid | pyarts.arts.FileType | pyarts.arts.AbsorptionCutoffTypeOld | pyarts.arts.AbsorptionPopulationTypeOld | pyarts.arts.AbsorptionNormalizationTypeOld | pyarts.arts.AbsorptionMirroringTypeOld | pyarts.arts.FieldComponent | pyarts.arts.AbsorptionBandSortingOption | pyarts.arts.HitranType | pyarts.arts.spectral_radiance_surface_agendaPredefined | pyarts.arts.spectral_radiance_observer_agendaPredefined | pyarts.arts.propagation_matrix_scattering_agendaPredefined | pyarts.arts.LineByLineLineshape | pyarts.arts.LineByLineVariable | pyarts.arts.disort_settings_agendaPredefined | pyarts.arts.LineShapeModelVariable | pyarts.arts.HydrostaticPressureOption | pyarts.arts.LineShapeModelCoefficient | pyarts.arts.propagation_matrix_agendaPredefined | pyarts.arts.QuantumNumberType | pyarts.arts.SpeciesEnum | pyarts.arts.PartitionFunctionsType | pyarts.arts.InterpolationExtrapolation | pyarts.arts.GridType | pyarts.arts.HitranLineStrengthOption | pyarts.arts.SensorKeyType | pyarts.arts.AbsorptionLookupTable | pyarts.arts.DisortSettings | pyarts.arts.SensorPosLosVector | pyarts.arts.ArrayOfSpeciesIsotope | pyarts.arts.SpeciesIsotope | pyarts.arts.AscendingGrid | pyarts.arts.DescendingGrid | pyarts.arts.ArrayOfVector3 | pyarts.arts.Vector2 | pyarts.arts.Vector3 | pyarts.arts.GanymedeEllipsoid | pyarts.arts.TimeStepType | pyarts.arts.ArrayOfArrayOfArrayOfPropagationPathPoint | pyarts.arts.ArrayOfArrayOfPropagationPathPoint | pyarts.arts.LineShapeTemperatureModelOld | pyarts.arts.PropagationPathPoint | pyarts.arts.IsoRatioOption | pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | pyarts.arts.JacobianTargetType | pyarts.arts.ArrayOfSensorObsel | pyarts.arts.JacobianTargets | pyarts.arts.LineByLineCutoffType | pyarts.arts.NumericTernaryOperator | pyarts.arts.NumericBinaryOperator | pyarts.arts.SpectralRadianceUnitType | pyarts.arts.ray_path_observer_agendaPredefined | pyarts.arts.ArrayOfArrayOfStokvecMatrix | pyarts.arts.ArrayOfArrayOfMuelmatMatrix | pyarts.arts.SurfacePropertyTag | pyarts.arts.ArrayOfScatteringSpecies | pyarts.arts.ArrayOfPropmatMatrix | pyarts.arts.PlanetOrMoonType | pyarts.arts.ArrayOfTensor4 | pyarts.arts.PathPositionType | pyarts.arts.SurfaceField | pyarts.arts.ArrayOfAscendingGrid | pyarts.arts.Tensor6 | pyarts.arts.ArrayOfTensor6 | pyarts.arts.LineShapeVariableOld | pyarts.arts.LinemixingEcsData | pyarts.arts.ArrayOfTensor3 | pyarts.arts.EuropaEllipsoid | pyarts.arts.ArrayOfTelsemAtlas | pyarts.arts.ArrayOfTensor7 | pyarts.arts.ArrayOfTime | pyarts.arts.XsecRecord | pyarts.arts.MissingFieldComponentError | pyarts.arts.MatrixOfDisortBDRF | pyarts.arts.ArrayOfSun | pyarts.arts.Sun | pyarts.arts.Index | pyarts.arts.SurfaceTypeTag | pyarts.arts.ArrayOfArrayOfPropmatVector | pyarts.arts.ArrayOfSpeciesTag | pyarts.arts.Tensor3 | pyarts.arts.GriddedField1Named | pyarts.arts.PairOfBlockMatrix | pyarts.arts.AtmData | pyarts.arts.SpeciesTagType | pyarts.arts.ArrayOfPropmatVector | pyarts.arts.ArrayOfArrayOfGriddedField1 | pyarts.arts.ArrayOfArrayOfTensor3 | pyarts.arts.AtmPoint | pyarts.arts.ScatteringMetaData | pyarts.arts.StokvecVector | pyarts.arts.MuelmatMatrix | pyarts.arts.ArrayOfGriddedField1Named | pyarts.arts.GriddedField3 | pyarts.arts.ArrayOfArrayOfMatrix | pyarts.arts.ArrayOfSpeciesEnum | pyarts.arts.PredefinedModelData | pyarts.arts.PropmatMatrix | pyarts.arts.ArrayOfArrayOfAbsorptionLines | pyarts.arts.DisortBDRF | pyarts.arts.ArrayOfAtmPoint | pyarts.arts.Any | pyarts.arts.LineShapeTypeOld | pyarts.arts.SensorJacobianModelType | pyarts.arts.Agenda | pyarts.arts.GasAbsLookup | pyarts.arts.ArrayOfAgenda | pyarts.arts.ArrayOfMuelmatVector | pyarts.arts.SurfaceKey | pyarts.arts.ArrayOfArrayOfGriddedField3 | pyarts.arts.VenusEllipsoid | pyarts.arts.ArrayOfVector | pyarts.arts.ArrayOfXsecRecord | pyarts.arts.AbsorptionBand | pyarts.arts.AbsorptionBands | pyarts.arts.ArrayOfArrayOfString | pyarts.arts.Numeric | pyarts.arts.ArrayOfTensor5 | pyarts.arts.ArrayOfAbsorptionLines | pyarts.arts.NamedGriddedField2 | pyarts.arts.ParticulateProperty | pyarts.arts.ArrayOfArrayOfIndex | pyarts.arts.QuantumIdentifier | pyarts.arts.SpeciesTag | pyarts.arts.NumericUnaryOperator | pyarts.arts.MCAntenna | pyarts.arts.Stokvec | pyarts.arts.ArrayOfNamedGriddedField2 | pyarts.arts.ArrayOfArrayOfScatteringMetaData | pyarts.arts.ArrayOfArrayOfGriddedField2 | pyarts.arts.AbsorptionLookupTables | pyarts.arts.AbsorptionLines | pyarts.arts.ArrayOfStokvecMatrix | pyarts.arts.ArrayOfSparse | pyarts.arts.ArrayOfArrayOfTensor6 | pyarts.arts.ArrayOfArrayOfSpeciesTag | pyarts.arts.ArrayOfSingleScatteringData | pyarts.arts.Tensor7 | pyarts.arts.spectral_radiance_space_agendaPredefined | pyarts.arts.ArrayOfArrayOfVector | pyarts.arts.ArrayOfGriddedField3 | pyarts.arts.ArrayOfString | pyarts.arts.CallbackOperator | pyarts.arts.ArrayOfQuantumIdentifier | pyarts.arts.Tensor5 | pyarts.arts.ScatteringSpeciesProperty | pyarts.arts.ArrayOfIndex | pyarts.arts.StokvecTensor6 | pyarts.arts.SpectralRadianceOperator | pyarts.arts.ArrayOfArrayOfMuelmatVector | pyarts.arts.BlockMatrix | pyarts.arts.ArrayOfArrayOfSingleScatteringData | pyarts.arts.ArrayOfGriddedField4 | pyarts.arts.ArrayOfMuelmatMatrix | pyarts.arts.ArrayOfArrayOfTime | pyarts.arts.ArrayOfGriddedField1 | pyarts.arts.ArrayOfPropagationPathPoint | pyarts.arts.ArrayOfCIARecord | pyarts.arts.SensorPosLos | pyarts.arts.ArrayOfScatteringMetaData | pyarts.arts.AtmField | pyarts.arts.StokvecGriddedField6 | pyarts.arts.CIARecord | pyarts.arts.Propmat | pyarts.arts.CovarianceMatrix | pyarts.arts.GriddedField1 | pyarts.arts.GriddedField2 | pyarts.arts.ComplexGriddedField2 | pyarts.arts.StokvecMatrix | pyarts.arts.ArrayOfStokvecVector | pyarts.arts.NamedGriddedField3 | pyarts.arts.ArrayOfMatrix | pyarts.arts.GriddedField4 | pyarts.arts.SurfacePoint | pyarts.arts.GriddedField5 | pyarts.arts.GriddedField6 | pyarts.arts.ArrayOfArrayOfPropmatMatrix | pyarts.arts.Matrix | pyarts.arts.Rational | pyarts.arts.StokvecTensor5 | pyarts.arts.SingleScatteringData | pyarts.arts.Sparse | pyarts.arts.ArrayOfGriddedField2 | pyarts.arts.String | pyarts.arts.TelsemAtlas | pyarts.arts.SensorObsel | pyarts.arts.SpeciesEnumVectors | pyarts.arts.Tensor4 | pyarts.arts.ArrayOfVector2 | pyarts.arts.StokvecTensor3 | pyarts.arts.Time | pyarts.arts.MuelmatTensor3 | pyarts.arts.Vector | pyarts.arts.LineShapeModelType | pyarts.arts.VibrationalEnergyLevels | pyarts.arts.Muelmat | pyarts.arts.AtmKey | pyarts.arts.PropmatVector | pyarts.arts.MuelmatVector | pyarts.arts.StokvecTensor4 | pyarts.arts.ArrayOfMuelmatTensor3 | pyarts.arts.TessemNN | pyarts.arts.ArrayOfStokvecTensor3 | pyarts.arts.ArrayOfArrayOfStokvecVector: Gets the value of the variable with the given name.

gravity_operatorCentralMass(self, gravity_operator: pyarts.arts.NumericTernaryOperator | None = None, surface_field: pyarts.arts.SurfaceField | None = None, mass: pyarts.arts.Numeric | None = None) → None

Sets a gravity operator from the gravitational constant and the mass of the planet

Gets the ellispoid from surface_field

Author(s): Richard Larsson

Parameters:

gravity_operator (NumericTernaryOperator, optional) – The gravity operator. See gravity_operator, defaults to self.gravity_operator [OUT]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
mass (Numeric) – Gravitation constant so that the gravity at radius r is GM / r^2. [IN]

has(self, name: str) → bool: Checks if the workspace contains the variable.

init(self, arg: str, /) → None

init(self, name: str, typename: str) → None

Overloaded function.

init(self, arg: str, /) -> None
init(self, name: str, typename: str) -> None

Initiate the variable to the named type.

inversion_iterate_agendaExecute(self, measurement_vector_fitted: pyarts.arts.Vector | None = None, measurement_jacobian: pyarts.arts.Matrix | None = None, model_state_vector: pyarts.arts.Vector | None = None, inversion_iterate_agenda_do_jacobian: pyarts.arts.Index | None = None, inversion_iterate_agenda_counter: pyarts.arts.Index | None = None, inversion_iterate_agenda: pyarts.arts.Agenda | None = None) → None

Executes inversion_iterate_agenda, see it for more details

Author(s): Automatically Generated

Parameters:

measurement_vector_fitted (Vector, optional) – As measurement_vector, but fitted to the model. See measurement_vector_fitted, defaults to self.measurement_vector_fitted [OUT]
measurement_jacobian (Matrix, optional) – The partial derivatives of the measurement_vector. See measurement_jacobian, defaults to self.measurement_jacobian [OUT]
model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [IN]
inversion_iterate_agenda_do_jacobian (Index, optional) – A boolean for if Jacobian calculations should be done. See inversion_iterate_agenda_do_jacobian, defaults to self.inversion_iterate_agenda_do_jacobian [IN]
inversion_iterate_agenda_counter (Index, optional) – A counter for the inversion iterate agenda. See inversion_iterate_agenda_counter, defaults to self.inversion_iterate_agenda_counter [IN]
inversion_iterate_agenda (Agenda, optional) – Work in progress … See inversion_iterate_agenda, defaults to self.inversion_iterate_agenda [IN]

Sets an atmospheric target

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
target (AtmKey,SpeciesEnum,SpeciesIsotope,QuantumIdentifier) – The target of interest. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

jacobian_targetsAddMagneticField(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, component: pyarts.arts.String | None = None, d: pyarts.arts.Numeric | None = None) → None

Set magnetic field derivative

See FieldComponent for valid component

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
component (String) – The component to use [u, v, w]. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

jacobian_targetsAddPressure(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, d: pyarts.arts.Numeric | None = None) → None

Set pressure derivative

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

jacobian_targetsAddSensorFrequencyPolyFit(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, d: pyarts.arts.Numeric | None = None, sensor_elem: pyarts.arts.Index | None = None, polyorder: pyarts.arts.Index | None = None) → None

Set sensor frequency derivative to use polynomial fitting offset

Order 0 means constant: f := f0 + a Order 1 means linear: f := f0 + a + b * f0 and so on. The derivatives that are added to the model_state_vector are those with regards to a, b, etc..

Note

The rule for the sensor_elem GIN is a bit complex. Generally, methods such as measurement_sensorAddSimple() will simply add a single unique frequency grid to all the different SensorObsel that they add to the measurement_sensor. The GIN sensor_elem is 0 for the first unique frequency grid, 1 for the second, and so on. See ArrayOfSensorObsel member methods in python for help identifying and manipulating how many unique frequency grids are available in measurement_sensor.

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]
sensor_elem (Index) – The sensor element whose frequency grid to use. [IN]
polyorder (Index, optional) – , optionalThe order of the polynomial fit. [IN]

jacobian_targetsAddSpeciesIsotopologueRatio(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, species: pyarts.arts.SpeciesIsotope | None = None, d: pyarts.arts.Numeric | None = None) → None

Set isotopologue ratio derivative

See SpeciesIsotope for valid species

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
species (SpeciesIsotope) – The species isotopologue of interest. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

jacobian_targetsAddSpeciesVMR(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, species: pyarts.arts.SpeciesEnum | None = None, d: pyarts.arts.Numeric | None = None) → None

Set volume mixing ratio derivative

See SpeciesEnum for valid species

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
species (SpeciesEnum) – The species of interest. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

Sets a surface target

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
target (SurfaceKey,SurfaceTypeTag,SurfacePropertyTag) – The target of interest. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

jacobian_targetsAddTemperature(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, d: pyarts.arts.Numeric | None = None) → None

Set temperature derivative

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

jacobian_targetsAddWindField(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, component: pyarts.arts.String | None = None, d: pyarts.arts.Numeric | None = None) → None

Set wind field derivative

Note that the derivatives from methods that takes the freqeuncy will return their derivatives as if these were frequency derivatives.

See FieldComponent for valid component

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
component (String) – The component to use [u, v, w]. [IN]
d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

jacobian_targetsFinalize(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None) → None

Finalize jacobian_targets.

The finalization computes the size of the required model_state_vector. It is thus necessary if any OEM or other functionality that requires the building of an actual Jacobian matrix.

Author(s): Richard Larsson

Parameters:

jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]

jacobian_targetsInit(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Initialize or reset the jacobian_targets

Author(s): Richard Larsson

Parameters:: jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [OUT]

measurement_averaging_kernelCalc(self, measurement_averaging_kernel: pyarts.arts.Matrix | None = None, measurement_gain_matrix: pyarts.arts.Matrix | None = None, measurement_jacobian: pyarts.arts.Matrix | None = None) → None

Calculate the averaging kernel matrix.

This is done by describing the sensitivity of the OEM retrieval with respect to the true state of the system. A prerequisite for the calculation of the averaging kernel matrix is a successful OEM calculation in which the measurement_jacobian and the gain matrix measurement_gain_matrix have been calculated.

Author(s): Simon Pfreundschuh

Parameters:

measurement_averaging_kernel (Matrix, optional) – Averaging kernel matrix. See measurement_averaging_kernel, defaults to self.measurement_averaging_kernel [OUT]
measurement_gain_matrix (Matrix, optional) – Contribution function (or gain) matrix. See measurement_gain_matrix, defaults to self.measurement_gain_matrix [IN]
measurement_jacobian (Matrix, optional) – The partial derivatives of the measurement_vector. See measurement_jacobian, defaults to self.measurement_jacobian [IN]

measurement_sensorAddSimple(self, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, pos: pyarts.arts.Vector3 | None = None, los: pyarts.arts.Vector2 | None = None, pol: pyarts.arts.Stokvec | None = None) → None

Adds a sensor with a dirac channel opening around the frequency grid.

All elements share position, line-of-sight, and frequency grid.

Author(s): Richard Larsson

Parameters:

measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
pos (Vector3) – A position [alt, lat, lon]. [IN]
los (Vector2) – A line of sight [zenith, azimuth]. [IN]
pol (Stokvec, optional) – , optionalThe polarization whos dot-product with the spectral radiance becomes the measurement. [IN]

measurement_sensorAddSimpleGaussian(self, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, std: pyarts.arts.Numeric | None = None, pos: pyarts.arts.Vector3 | None = None, los: pyarts.arts.Vector2 | None = None, pol: pyarts.arts.Stokvec | None = None) → None

Adds a sensor with a Gaussian channel opening around the frequency grid.

All elements share position, line-of-sight, and frequency grid.

Note that this means you only get “half” a Gaussian channel for the outermost channels.

The I component’s distribution is normalized to 1 or 0 by itself, while the Q, U, and V components’ hypotenuse are normalized to 1 or 0 together.

Author(s): Richard Larsson

Parameters:

measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
std (Numeric) – The standard deviations of the channels. [IN]
pos (Vector3) – A position [alt, lat, lon]. [IN]
los (Vector2) – A line of sight [zenith, azimuth]. [IN]
pol (Stokvec, optional) – , optionalThe polarization whos dot-product with the spectral radiance becomes the measurement. [IN]

measurement_sensorAddVectorGaussian(self, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, std: pyarts.arts.Vector | None = None, pos: pyarts.arts.Vector3 | None = None, los: pyarts.arts.Vector2 | None = None, pol: pyarts.arts.Stokvec | None = None) → None

Adds a sensor with a Gaussian channel opening around the frequency grid.

All elements share position, line-of-sight, and frequency grid.

Note that this means you only get “half” a Gaussian channel for the outermost channels.

The I component’s distribution is normalized to 1 or 0 by itself, while the Q, U, and V components’ hypotenuse are normalized to 1 or 0 together.

Author(s): Richard Larsson

Parameters:

measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
std (Vector) – The standard deviations of the channels. [IN]
pos (Vector3) – A position [alt, lat, lon]. [IN]
los (Vector2) – A line of sight [zenith, azimuth]. [IN]
pol (Stokvec, optional) – , optionalThe polarization whos dot-product with the spectral radiance becomes the measurement. [IN]

measurement_sensorFromModelState(self, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, model_state_vector: pyarts.arts.Vector | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Update measurement_sensor from model_state_vector.

Author(s): Richard Larsson

Parameters:

measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [INOUT]
model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

measurement_sensorInit(self, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None) → None

Initialize measurement_sensor to empty.

Author(s): Richard Larsson

Parameters:: measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [OUT]

measurement_sensorSimple(self, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, pos: pyarts.arts.Vector3 | None = None, pol: pyarts.arts.Stokvec | None = None, los: pyarts.arts.Vector2 | None = None) → None

Wrapper for a single simple dirac-opening sensor

Wrapper calling Methods (in order):

measurement_sensorInit()

measurement_sensorAddSimple()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.measurement_sensorInit()
 ws.measurement_sensorAddSimple()

Author(s): Richard Larsson

Parameters:

measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
pos (Vector3) – A position [alt, lat, lon]. [IN]
pol (Stokvec, optional) – , optionalThe polarization whos dot-product with the spectral radiance becomes the measurement. [IN]
los (Vector2) – A line of sight [zenith, azimuth]. [IN]

measurement_sensorSimpleGaussian(self, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, std: pyarts.arts.Numeric | None = None, pos: pyarts.arts.Vector3 | None = None, pol: pyarts.arts.Stokvec | None = None, los: pyarts.arts.Vector2 | None = None) → None

Wrapper for a single simple Gaussian-opening sensor

Wrapper calling Methods (in order):

measurement_sensorInit()

measurement_sensorAddSimpleGaussian()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.measurement_sensorInit()
 ws.measurement_sensorAddSimpleGaussian()

Author(s): Richard Larsson

Parameters:

measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
std (Numeric) – The standard deviations of the channels. [IN]
pos (Vector3) – A position [alt, lat, lon]. [IN]
pol (Stokvec, optional) – , optionalThe polarization whos dot-product with the spectral radiance becomes the measurement. [IN]
los (Vector2) – A line of sight [zenith, azimuth]. [IN]

measurement_sensorVectorGaussian(self, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, std: pyarts.arts.Vector | None = None, pos: pyarts.arts.Vector3 | None = None, pol: pyarts.arts.Stokvec | None = None, los: pyarts.arts.Vector2 | None = None) → None

Wrapper for a single simple Gaussian-opening sensor

Wrapper calling Methods (in order):

measurement_sensorInit()

measurement_sensorAddVectorGaussian()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.measurement_sensorInit()
 ws.measurement_sensorAddVectorGaussian()

Author(s): Richard Larsson

Parameters:

measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
std (Vector) – The standard deviations of the channels. [IN]
pos (Vector3) – A position [alt, lat, lon]. [IN]
pol (Stokvec, optional) – , optionalThe polarization whos dot-product with the spectral radiance becomes the measurement. [IN]
los (Vector2) – A line of sight [zenith, azimuth]. [IN]

measurement_vectorFromOperatorPath(self, measurement_vector: pyarts.arts.Vector | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, spectral_radiance_operator: pyarts.arts.SpectralRadianceOperator | None = None, ray_path_observer_agenda: pyarts.arts.Agenda | None = None) → None

Sets measurement vector by looping over all sensor elements

The core calculations happens inside the spectral_radiance_operator.

Author(s): Richard Larsson

Parameters:

measurement_vector (Vector, optional) – The measurment vector for, e.g., a sensor. See measurement_vector, defaults to self.measurement_vector [OUT]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
spectral_radiance_operator (SpectralRadianceOperator, optional) – The spectral radiance operator. See spectral_radiance_operator, defaults to self.spectral_radiance_operator [IN]
ray_path_observer_agenda (Agenda, optional) – Get the propagation path as it is obeserved. See ray_path_observer_agenda, defaults to self.ray_path_observer_agenda [IN]

measurement_vectorFromSensor(self, measurement_vector: pyarts.arts.Vector | None = None, measurement_jacobian: pyarts.arts.Matrix | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, spectral_radiance_unit: pyarts.arts.SpectralRadianceUnitType | None = None, spectral_radiance_observer_agenda: pyarts.arts.Agenda | None = None) → None

Sets measurement vector by looping over all sensor elements

The core calculations happens inside the spectral_radiance_observer_agenda.

User choices of spectral_radiance_unit does not adversely affect this method unless the measurement_vector or measurement_jacobian are further modified before consumption by, e.g., OEM()

Author(s): Richard Larsson

Parameters:

measurement_vector (Vector, optional) – The measurment vector for, e.g., a sensor. See measurement_vector, defaults to self.measurement_vector [OUT]
measurement_jacobian (Matrix, optional) – The partial derivatives of the measurement_vector. See measurement_jacobian, defaults to self.measurement_jacobian [OUT]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
spectral_radiance_unit (SpectralRadianceUnitType, optional) – The spectral radiance unit after conversion. See spectral_radiance_unit, defaults to self.spectral_radiance_unit [IN]
spectral_radiance_observer_agenda (Agenda, optional) – Spectral radiance as seen from the input position and environment. See spectral_radiance_observer_agenda, defaults to self.spectral_radiance_observer_agenda [IN]

measurement_vector_error_covariance_matrixConstant(self, measurement_vector_error_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, value: pyarts.arts.Numeric | None = None) → None

Sets a constant measurement vector error covariance matrix.

Author(s): Richard Larsson

Parameters:

measurement_vector_error_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix for observation uncertainties. See measurement_vector_error_covariance_matrix, defaults to self.measurement_vector_error_covariance_matrix [OUT]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
value (Numeric) – The value of the covariance matrix diagonal. [IN]

measurement_vector_error_covariance_matrix_observation_systemCalc(self, measurement_vector_error_covariance_matrix_observation_system: pyarts.arts.Matrix | None = None, measurement_gain_matrix: pyarts.arts.Matrix | None = None, measurement_vector_error_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None) → None

Calculates the covariance matrix describing the error due to uncertainties in the observation system.

The uncertainties of the observation system are described by measurement_vector_error_covariance_matrix, which must be set by the user to include the relevant contributions from the measurement and the forward model.

Prerequisite for the calculation of measurement_vector_error_covariance_matrix_observation_system is a successful OEM computation where also the gain matrix has been computed.

Author(s): Simon Pfreundschuh

Parameters:

measurement_vector_error_covariance_matrix_observation_system (Matrix) – Covariance matrix describing the retrieval error due to uncertainties of the observation system. Defaults to create and/or use self.measurement_vector_error_covariance_matrix_observation_system : Matrix. [OUT]
measurement_gain_matrix (Matrix, optional) – Contribution function (or gain) matrix. See measurement_gain_matrix, defaults to self.measurement_gain_matrix [IN]
measurement_vector_error_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix for observation uncertainties. See measurement_vector_error_covariance_matrix, defaults to self.measurement_vector_error_covariance_matrix [IN]

measurement_vector_fittedFromMeasurement(self, measurement_vector_fitted: pyarts.arts.Vector | None = None, measurement_vector: pyarts.arts.Vector | None = None) → None

Sets the fitted measurement vector to the current measurement vector.

Author(s): Richard Larsson

Parameters:

measurement_vector_fitted (Vector, optional) – As measurement_vector, but fitted to the model. See measurement_vector_fitted, defaults to self.measurement_vector_fitted [OUT]
measurement_vector (Vector, optional) – The measurment vector for, e.g., a sensor. See measurement_vector, defaults to self.measurement_vector [IN]

model_state_covariance_matrixAddSpeciesVMR(self, model_state_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, species: pyarts.arts.SpeciesEnum | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Set a species model state covariance matrix element.

Author(s): Richard Larsson

Parameters:

model_state_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix of a priori distribution. See model_state_covariance_matrix, defaults to self.model_state_covariance_matrix [INOUT]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
species (SpeciesEnum) – The species to set the covariance matrix for. [IN]
matrix (BlockMatrix) – The covariance diagoinal block matrix. [IN]
inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagoinal block matrix. [IN]

model_state_covariance_matrixInit(self, model_state_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None) → None

Initialises the model state covariance matrix to the identity matrix.

Author(s): Richard Larsson

Parameters:: model_state_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix of a priori distribution. See model_state_covariance_matrix, defaults to self.model_state_covariance_matrix [OUT]

model_state_covariance_matrix_smoothing_errorCalc(self, model_state_covariance_matrix_smoothing_error: pyarts.arts.Matrix | None = None, measurement_averaging_kernel: pyarts.arts.Matrix | None = None, model_state_covariance_matrix: pyarts.arts.CovarianceMatrix | None = None) → None

Calculates the covariance matrix describing the error due to smoothing.

The calculation of model_state_covariance_matrix_smoothing_error also requires the averaging kernel matrix measurement_averaging_kernel to be computed after a successful OEM calculation.

Author(s): Simon Pfreundschuh

Parameters:

model_state_covariance_matrix_smoothing_error (Matrix) – Covariance matrix describing the retrieval error due to smoothing. Defaults to create and/or use self.model_state_covariance_matrix_smoothing_error : Matrix. [OUT]
measurement_averaging_kernel (Matrix, optional) – Averaging kernel matrix. See measurement_averaging_kernel, defaults to self.measurement_averaging_kernel [IN]
model_state_covariance_matrix (CovarianceMatrix, optional) – Covariance matrix of a priori distribution. See model_state_covariance_matrix, defaults to self.model_state_covariance_matrix [IN]

model_state_vectorFromAtmosphere(self, model_state_vector: pyarts.arts.Vector | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets model_state_vector’s atmospheric part.

Author(s): Richard Larsson

Parameters:

model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [INOUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

model_state_vectorFromBands(self, model_state_vector: pyarts.arts.Vector | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets model_state_vector’s absorption line part.

Author(s): Richard Larsson

Parameters:

model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [INOUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

model_state_vectorFromData(self, model_state_vector: pyarts.arts.Vector | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, surface_field: pyarts.arts.SurfaceField | None = None) → None

Get model_state_vector from available data

Wrapper calling Methods (in order):

model_state_vectorSize()

model_state_vectorZero()

model_state_vectorFromAtmosphere()

model_state_vectorFromSurface()

model_state_vectorFromBands()

model_state_vectorFromSensor()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.model_state_vectorSize()
 ws.model_state_vectorZero()
 ws.model_state_vectorFromAtmosphere()
 ws.model_state_vectorFromSurface()
 ws.model_state_vectorFromBands()
 ws.model_state_vectorFromSensor()

Author(s): Richard Larsson

Parameters:

model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [OUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]

model_state_vectorFromSensor(self, model_state_vector: pyarts.arts.Vector | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets model_state_vector’s sensor part.

Author(s): Richard Larsson

Parameters:

model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [INOUT]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

model_state_vectorFromSurface(self, model_state_vector: pyarts.arts.Vector | None = None, surface_field: pyarts.arts.SurfaceField | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets model_state_vector’s surface part.

Author(s): Richard Larsson

Parameters:

model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [INOUT]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

model_state_vectorSize(self, model_state_vector: pyarts.arts.Vector | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets model_state_vector to the size jacobian_targets demand.

Warning

Does not zero out existing data. Use model_state_vectorZero() if that is desired.

Author(s): Richard Larsson

Parameters:

model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [OUT]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

model_state_vectorZero(self, model_state_vector: pyarts.arts.Vector | None = None) → None

Sets model_state_vector to 0.0

Author(s): Richard Larsson

Parameters:: model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [INOUT]

model_state_vector_aprioriFromData(self, model_state_vector_apriori: pyarts.arts.Vector | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, surface_field: pyarts.arts.SurfaceField | None = None) → None

Get model_state_vector_apriori from available data

Wrapper calling Methods (in order):

model_state_vectorFromData()

model_state_vector_aprioriFromState()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.model_state_vectorFromData()
 ws.model_state_vector_aprioriFromState()

Author(s): Richard Larsson

Parameters:

model_state_vector_apriori (Vector, optional) – An apriori state vector of the model. See model_state_vector_apriori, defaults to self.model_state_vector_apriori [OUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]

model_state_vector_aprioriFromState(self, model_state_vector_apriori: pyarts.arts.Vector | None = None, model_state_vector: pyarts.arts.Vector | None = None) → None

Sets the a priori state of the model state vector to the current state.

Author(s): Richard Larsson

Parameters:

model_state_vector_apriori (Vector, optional) – An apriori state vector of the model. See model_state_vector_apriori, defaults to self.model_state_vector_apriori [OUT]
model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [IN]

propagation_matrixAddCIA(self, propagation_matrix: pyarts.arts.PropmatVector | None = None, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, propagation_matrix_select_species: pyarts.arts.SpeciesEnum | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, absorption_cia_data: pyarts.arts.ArrayOfCIARecord | None = None, T_extrapolfac: pyarts.arts.Numeric | None = None, ignore_errors: pyarts.arts.Index | None = None) → None

Calculate absorption coefficients per tag group for HITRAN CIA continua.

This interpolates the cross sections from absorption_cia_data.

The robust option is intended only for testing. Do not use for normal runs, since subsequent functions will not be able to deal with NAN values.

Author(s): Stefan Buehler, Oliver Lemke

Parameters:

propagation_matrix (PropmatVector, optional) – This contains the propagation matrix for the current path point. See propagation_matrix, defaults to self.propagation_matrix [INOUT]
propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [INOUT]
propagation_matrix_select_species (SpeciesEnum, optional) – A select species tag group from absorption_species. See propagation_matrix_select_species, defaults to self.propagation_matrix_select_species [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
absorption_cia_data (ArrayOfCIARecord, optional) – HITRAN Collision Induced Absorption (CIA) Data. See absorption_cia_data, defaults to self.absorption_cia_data [IN]
T_extrapolfac (Numeric, optional) – , optionalTemperature extrapolation factor (relative to grid spacing). [IN]
ignore_errors (Index, optional) – , optionalSet to 1 to suppress runtime errors (and return NAN values instead). [IN]

propagation_matrixAddFaraday(self, propagation_matrix: pyarts.arts.PropmatVector | None = None, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, propagation_matrix_select_species: pyarts.arts.SpeciesEnum | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None) → None

Calculates absorption matrix describing Faraday rotation.

Faraday rotation is a change of polarization state of an electromagnetic wave propagating through charged matter by interaction with a magnetic field. Hence, this method requires absorption_species to contain ‘free_electrons’ and electron content field (as part of vmr_field) as well as magnetic field (mag_u_field, mag_v_field, mag_w_field) to be specified.

Faraday rotation affects Stokes parameters 2 and 3 (but not intensity!). Therefore, this method requires stokes_dim>2.

Like all ‘propagation_matrixAdd*’ methods, the method is additive, i.e., does not overwrite the propagation matrix propagation_matrix, but adds further contributions.

Author(s): Patrick Eriksson

Parameters:

propagation_matrix (PropmatVector, optional) – This contains the propagation matrix for the current path point. See propagation_matrix, defaults to self.propagation_matrix [INOUT]
propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
propagation_matrix_select_species (SpeciesEnum, optional) – A select species tag group from absorption_species. See propagation_matrix_select_species, defaults to self.propagation_matrix_select_species [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]

propagation_matrixAddLines(self, propagation_matrix: pyarts.arts.PropmatVector | None = None, propagation_matrix_source_vector_nonlte: pyarts.arts.StokvecVector | None = None, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, propagation_matrix_source_vector_nonlte_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, propagation_matrix_select_species: pyarts.arts.SpeciesEnum | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, ecs_data: pyarts.arts.LinemixingEcsData | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, no_negative_absorption: pyarts.arts.Index | None = None) → None

Line-by-line calculations.

Author(s): Richard Larsson

Parameters:

propagation_matrix (PropmatVector, optional) – This contains the propagation matrix for the current path point. See propagation_matrix, defaults to self.propagation_matrix [INOUT]
propagation_matrix_source_vector_nonlte (StokvecVector, optional) – The part of the source vector that is due to non-LTE. See propagation_matrix_source_vector_nonlte, defaults to self.propagation_matrix_source_vector_nonlte [INOUT]
propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [INOUT]
propagation_matrix_source_vector_nonlte_jacobian (StokvecMatrix, optional) – Partial derivative of the propagation_matrix_source_vector_nonlte with regards to jacobian_targets. See propagation_matrix_source_vector_nonlte_jacobian, defaults to self.propagation_matrix_source_vector_nonlte_jacobian [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
propagation_matrix_select_species (SpeciesEnum, optional) – A select species tag group from absorption_species. See propagation_matrix_select_species, defaults to self.propagation_matrix_select_species [IN]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
ecs_data (LinemixingEcsData, optional) – Error corrected sudden data. See ecs_data, defaults to self.ecs_data [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
no_negative_absorption (Index, optional) – , optionalTurn off to allow individual absorbers to have negative absorption. [IN]

propagation_matrixAddLookup(self, propagation_matrix: pyarts.arts.PropmatVector | None = None, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, propagation_matrix_select_species: pyarts.arts.SpeciesEnum | None = None, absorption_lookup_table: pyarts.arts.AbsorptionLookupTables | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, no_negative_absorption: pyarts.arts.Index | None = None, p_interp_order: pyarts.arts.Index | None = None, t_interp_order: pyarts.arts.Index | None = None, water_interp_order: pyarts.arts.Index | None = None, f_interp_order: pyarts.arts.Index | None = None, extpolfac: pyarts.arts.Numeric | None = None) → None

Lookup calculations

Author(s): Richard Larsson

Parameters:

propagation_matrix (PropmatVector, optional) – This contains the propagation matrix for the current path point. See propagation_matrix, defaults to self.propagation_matrix [INOUT]
propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
propagation_matrix_select_species (SpeciesEnum, optional) – A select species tag group from absorption_species. See propagation_matrix_select_species, defaults to self.propagation_matrix_select_species [IN]
absorption_lookup_table (AbsorptionLookupTables, optional) – Absorption lookup table for scalar gas absorption coefficients. See absorption_lookup_table, defaults to self.absorption_lookup_table [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
no_negative_absorption (Index, optional) – , optionalTurn off to allow individual absorbers to have negative absorption. [IN]
p_interp_order (Index, optional) – , optionalInterpolation order for pressure. [IN]
t_interp_order (Index, optional) – , optionalInterpolation order for temperature. [IN]
water_interp_order (Index, optional) – , optionalInterpolation order for water vapor. [IN]
f_interp_order (Index, optional) – , optionalInterpolation order for frequency. [IN]
extpolfac (Numeric, optional) – , optionalExtrapolation factor. [IN]

propagation_matrixAddPredefined(self, propagation_matrix: pyarts.arts.PropmatVector | None = None, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, absorption_predefined_model_data: pyarts.arts.PredefinedModelData | None = None, propagation_matrix_select_species: pyarts.arts.SpeciesEnum | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None) → None

Adds all of the predefined models in absorption_species to the propagation_matrix

Only supports temperature and wind speed derivatives

Available models:

O2-MPM2020: 60 GHz and 118 GHz lines only (no continua, no higher Hz line centers)

Dmitriy S. Makarov, Mikhail Yu. Tretyakov, Philip W. Rosenkranz, JQSRT 243, 2020, Revision of the 60-GHz atmospheric oxygen absorption band models for practical use, https://doi.org/10.1016/j.jqsrt.2019.106798
H2O-ForeignContCKDMT350: Foreign continua. Expects H2O line center cutoff at 25 cm-1

CKD_MTv3.50 H2O foreign continuum from the FORTRAN77 code written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
H2O-SelfContCKDMT350: Self continua. Expects H2O line center cutoff at 25 cm-1

CKD_MTv3.50 H2O self continuum from the FORTRAN77 code written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
H2O-ForeignContCKDMT320: Foreign continua. Expects H2O line center cutoff at 25 cm-1

CKD_MTv3.20 H2O foreign continuum from the FORTRAN77 code written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
H2O-SelfContCKDMT320: Self continua. Expects H2O line center cutoff at 25 cm-1

CKD_MTv3.20 H2O self continuum from the FORTRAN77 code written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
H2O-SelfContCKDMT400: Self continuum for water. General reference: Mlawer et al. (2012), doi:10.1098/rsta.2011.0295

Our code is reimplemented based on original Fortran90 code that is/was/will-be-made available via hitran.org

Note that this model comes with the copyright statement [1].

Note also that this model requires absorption_predefined_model_data to contain relevant data set either using absorption_predefined_model_dataAddWaterMTCKD400() or via some file reading routine.
H2O-ForeignContCKDMT400: Foreign continuum for water. General reference: Mlawer et al. (2012), doi:10.1098/rsta.2011.0295

Our code is reimplemented based on original Fortran90 code that is/was/will-be-made available via hitran.org

Note that this model comes with the copyright statement [1].

Note also that this model requires absorption_predefined_model_data to contain relevant data set either using absorption_predefined_model_dataAddWaterMTCKD400() or via some file reading routine.
H2O-ForeignContStandardType: Water microwave continua

P. W. Rosenkranz., Radio Science, 33(4), 919, 1998 and Radio Science, Vol. 34(4), 1025, 1999.
H2O-SelfContStandardType: Water microwave continua

P. W. Rosenkranz., Radio Science, 33(4), 919, 1998 and Radio Science, Vol. 34(4), 1025, 1999.
H2O-MPM89: Microwave water absorption model
1. 1. Liebe, Int. J. Infrared and Millimeter Waves, 10(6), 1989, 631.
H2O-PWR98: Microwave water absorption model

P. W. Rosenkranz., Radio Science, 33(4), 919, 1998 and Radio Science, Vol. 34(4), 1025, 1999.
H2O-PWR2021: Microwave water absorption model developed by P.W. Rosenkranz.

Our code is reimplemented based on the Fortran code available at http://cetemps.aquila.infn.it/mwrnet/lblmrt_ns.html
H2O-PWR2022: Microwave water absorption model developed by P.W. Rosenkranz.

Our code is reimplemented based on the Fortran code available at http://cetemps.aquila.infn.it/mwrnet/lblmrt_ns.html
CO2-CKDMT252: MT CKD absorption for CO2

This absorption model is taken from the FORTRAN77 code of CKD_MT version 2.50 written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
O2-CIAfunCKDMT100: CIA for oxygen from MT CKD

F. Thibault, V. Menoux, R. Le Doucen, L. Rosenman, J.-M. Hartmann, Ch. Boulet, Infrared collision-induced absorption by O2 near 6.4 microns for atmospheric applications: measurements and emprirical modeling, Appl. Optics, 35, 5911-5917, (1996).

This absorption model is taken from the FORTRAN77 code of CKD_MT version 1.00 written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
O2-MPM89: Oxygen microwave absorption model

Reference: H. J. Liebe and G. A. Hufford and M. G. Cotton, Propagation modeling of moist air and suspended water/ice particles at frequencies below 1000 GHz, AGARD 52nd Specialists Meeting of the Electromagnetic Wave Propagation Panel, Palma de Mallorca, Spain, 1993, May 17-21
O2-PWR98: Oxygen microwave absorption model

P.W. Rosenkranz, CHAP. 2 and appendix, in ATMOSPHERIC REMOTE SENSING BY MICROWAVE RADIOMETRY (M.A. Janssen, ed., 1993). H.J. Liebe et al, JQSRT V.48, PP.629-643 (1992). M.J. Schwartz, Ph.D. thesis, M.I.T. (1997). SUBMILLIMETER LINE INTENSITIES FROM HITRAN96.
O2-PWR2021: Oxygen microwave absorption model developed by P.W. Rosenkranz.

Our code is reimplemented based on the Fortran code available at http://cetemps.aquila.infn.it/mwrnet/lblmrt_ns.html
O2-PWR2022: Oxygen microwave absorption model developed by P.W. Rosenkranz.

Our code is reimplemented based on the Fortran code available at http://cetemps.aquila.infn.it/mwrnet/lblmrt_ns.html
O2-SelfContStandardType: Microwave continua term

Reference: P. W. Rosenkranz, Chapter 2, in M. A. Janssen, Atmospheric Remote Sensing by Microwave Radiometry, John Wiley & Sons, Inc., 1993. Reference: H. J. Liebe and G. A. Hufford and M. G. Cotton, Propagation modeling of moist air and suspended water/ice particles at frequencies below 1000 GHz, AGARD 52nd Specialists Meeting of the Electromagnetic Wave Propagation Panel, Palma de Mallorca, Spain, 1993, May 17-21
O2-TRE05: Oxygen microwave absorption model

References: H. J. Liebe and G. A. Hufford and M. G. Cotton, Propagation modeling of moist air and suspended water/ice particles at frequencies below 1000 GHz, AGARD 52nd Specialists Meeting of the Electromagnetic Wave Propagation Panel, Palma de Mallorca, Spain, 1993, May 17-21

M.Yu. Tretyakov, M.A. Koshelev, V.V. Dorovskikh, D.S. Makarov, P.W. Rosenkranz; 60-GHz oxygen band: precise broadening and central frequencies of fine-structure lines, absolute absorption profile at atmospheric pressure, and revision of mixing coefficients doi:10.1016/j.jms.2004.11.011
O2-v0v0CKDMT100: MT CKD

CKD_MT 1.00 implementation of oxygen collision induced fundamental model of O2 continuum formulated by Mate et al. over the spectral region 7550-8486 cm-1: B. Mate, C. Lugez, G.T. Fraser, W.J. Lafferty, “Absolute Intensities for the O2 1.27 micron continuum absorption”, J. Geophys. Res., 104, 30,585-30,590, 1999.

Also, refer to the paper “Observed Atmospheric Collision Induced Absorption in Near Infrared Oxygen Bands”, Mlawer, Clough, Brown, Stephen, Landry, Goldman, & Murcray, Journal of Geophysical Research (1997).

This absorption model is taken from the FORTRAN77 code of CKD_MT version 1.00 written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
O2-v1v0CKDMT100: MT CKD

Mlawer, Clough, Brown, Stephen, Landry, Goldman, Murcray, Observed Atmospheric Collision Induced Absorption in Near Infrared Oxygen Bands, J. Geophys. Res., 103, D4, 3859-3863, 1998.

This absorption model is taken from the FORTRAN77 code of CKD_MT version 1.00 written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
O2-visCKDMT252: MT CKD

O2 continuum formulated by Greenblatt et al. over the spectral region 8797-29870 cm-1: “Absorption Coefficients of Oxygen Between 330 and 1140 nm, G.D. Green blatt, J.J. Orlando, J.B. Burkholder, and A.R. Ravishabkara, J. Geophys. Res., 95, 18577-18582, 1990.

This absorption model is taken from the FORTRAN77 code of CKD_MT version 2.50 written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
N2-CIAfunCKDMT252: MT CKD

Lafferty, W.J., A.M. Solodov,A. Weber, W.B. Olson and J._M. Hartmann, Infrared collision-induced absorption by N2 near 4.3 microns for atmospheric applications: Measurements and emprirical modeling, Appl. Optics, 35, 5911-5917, (1996)

This absorption model is taken from the FORTRAN77 code of CKD_MT version 1.00 written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
N2-CIArotCKDMT252: MT CKD

Borysow, A, and L. Frommhold, Collision-induced rototranslational absorption spectra of N2-N2 pairs for temperatures from 50 to 300 K, The Astrophysical Journal, 311, 1043-1057, 1986.

This absorption model is taken from the FORTRAN77 code of CKD_MT version 1.00 written by Atmospheric and Environmental Research Inc. (AER), Radiation and Climate Group 131 Hartwell Avenue Lexington, MA 02421, USA http://www.rtweb.aer.com/continuum_frame.html
N2-SelfContStandardType: Microwave nitrogen absorption continua

Reference: P. W. Rosenkranz, Chapter 2, in M. A. Janssen, Atmospheric Remote Sensing by Microwave Radiometry, John Wiley & Sons, Inc., 1993.
N2-SelfContMPM93: Microwave nitrogen absorption continua from MPM93 model

Reference: H. J. Liebe and G. A. Hufford and M. G. Cotton, Propagation modeling of moist air and suspended water/ice particles at frequencies below 1000 GHz, AGARD 52nd Specialists Meeting of the Electromagnetic Wave Propagation Panel, Palma de Mallorca, Spain, 1993, May 17-21
N2-SelfContPWR2021: Microwave nitrogen absorption continua developed by P.W. Rosenkranz.

Note that this also includes O2-N2 and O2-O2 collision-induced absorption and is only applicable to Earth

Our code is reimplemented based on the Fortran code available at http://cetemps.aquila.infn.it/mwrnet/lblmrt_ns.html
liquidcloud-ELL07: Water droplet absorption

W. J. Ellison, Permittivity of Pure Water, at Standard Atmospheric Pressure, over the Frequency Range 0-25 THz and Temperature Range 0-100C, J. Phys. Chem. Ref. Data, Vol. 36, No. 1, 2007

Author(s): Richard Larsson

Parameters:

propagation_matrix (PropmatVector, optional) – This contains the propagation matrix for the current path point. See propagation_matrix, defaults to self.propagation_matrix [INOUT]
propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [INOUT]
absorption_predefined_model_data (PredefinedModelData, optional) – This contains predefined model data. See absorption_predefined_model_data, defaults to self.absorption_predefined_model_data [IN]
propagation_matrix_select_species (SpeciesEnum, optional) – A select species tag group from absorption_species. See propagation_matrix_select_species, defaults to self.propagation_matrix_select_species [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]

propagation_matrixAddXsecFit(self, propagation_matrix: pyarts.arts.PropmatVector | None = None, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, propagation_matrix_select_species: pyarts.arts.SpeciesEnum | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, absorption_xsec_fit_data: pyarts.arts.ArrayOfXsecRecord | None = None, force_p: pyarts.arts.Numeric | None = None, force_t: pyarts.arts.Numeric | None = None) → None

Calculate absorption cross sections per tag group for HITRAN xsec species.

This broadens the cross section data from absorption_xsec_fit_data and interpolates it onto the current frequency_grid.

Model data needs to be read in with absorption_xsec_fit_dataReadSpeciesSplitCatalog() before calling this method.

Author(s): Oliver Lemke

Parameters:

propagation_matrix (PropmatVector, optional) – This contains the propagation matrix for the current path point. See propagation_matrix, defaults to self.propagation_matrix [INOUT]
propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [INOUT]
propagation_matrix_select_species (SpeciesEnum, optional) – A select species tag group from absorption_species. See propagation_matrix_select_species, defaults to self.propagation_matrix_select_species [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
absorption_xsec_fit_data (ArrayOfXsecRecord, optional) – Fitting model coefficients for cross section species. See absorption_xsec_fit_data, defaults to self.absorption_xsec_fit_data [IN]
force_p (Numeric, optional) – , optionalPositive value forces constant pressure [Pa]. [IN]
force_t (Numeric, optional) – , optionalPositive value forces constant temperature [K]. [IN]

propagation_matrixInit(self, propagation_matrix: pyarts.arts.PropmatVector | None = None, propagation_matrix_source_vector_nonlte: pyarts.arts.StokvecVector | None = None, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, propagation_matrix_source_vector_nonlte_jacobian: pyarts.arts.StokvecMatrix | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None) → None

Initialize propagation_matrix, propagation_matrix_source_vector_nonlte, and their derivatives to zeroes.

This method must be used inside propagation_matrix_agenda and then be called first.

Author(s): Oliver Lemke, Richard Larsson

Parameters:

propagation_matrix (PropmatVector, optional) – This contains the propagation matrix for the current path point. See propagation_matrix, defaults to self.propagation_matrix [OUT]
propagation_matrix_source_vector_nonlte (StokvecVector, optional) – The part of the source vector that is due to non-LTE. See propagation_matrix_source_vector_nonlte, defaults to self.propagation_matrix_source_vector_nonlte [OUT]
propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [OUT]
propagation_matrix_source_vector_nonlte_jacobian (StokvecMatrix, optional) – Partial derivative of the propagation_matrix_source_vector_nonlte with regards to jacobian_targets. See propagation_matrix_source_vector_nonlte_jacobian, defaults to self.propagation_matrix_source_vector_nonlte_jacobian [OUT]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]

propagation_matrix_agendaAuto(self, propagation_matrix_agenda: pyarts.arts.Agenda | None = None, absorption_species: pyarts.arts.ArrayOfArrayOfSpeciesTag | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, use_absorption_lookup_table: pyarts.arts.Index | None = None, T_extrapolfac: pyarts.arts.Numeric | None = None, ignore_errors: pyarts.arts.Index | None = None, no_negative_absorption: pyarts.arts.Index | None = None, force_p: pyarts.arts.Numeric | None = None, force_t: pyarts.arts.Numeric | None = None, p_interp_order: pyarts.arts.Index | None = None, t_interp_order: pyarts.arts.Index | None = None, water_interp_order: pyarts.arts.Index | None = None, f_interp_order: pyarts.arts.Index | None = None, extpolfac: pyarts.arts.Numeric | None = None) → None

Sets the propagation_matrix_agenda automatically from absorption data and species tag meta information.

The following methods are considered for addition to the agenda:

If use_absorption_lookup_table evaluates to true, lookup table calculations, via propagation_matrixAddLookup(), are used instead of propagation_matrixAddLines().

Note that the signature of this method changes depending on the input methods. This is important because several generic input parameters are used in the methods. Please see the individual methods for more information.

Author(s): Richard Larsson

Parameters:

propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [OUT]
absorption_species (ArrayOfArrayOfSpeciesTag, optional) – Tag groups for gas absorption. See absorption_species, defaults to self.absorption_species [IN]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
use_absorption_lookup_table (Index, optional) – , optionalWhether or not to use the lookup table instead of pure line-by-line calculations. [IN]
T_extrapolfac (Numeric, optional) – , optionalSee propagation_matrixAddCIA(). [IN]
ignore_errors (Index, optional) – , optionalSee propagation_matrixAddCIA(). [IN]
no_negative_absorption (Index, optional) – , optionalSee propagation_matrixAddLines(), propagation_matrixAddLookup(). [IN]
force_p (Numeric, optional) – , optionalSee propagation_matrixAddXsecFit(). [IN]
force_t (Numeric, optional) – , optionalSee propagation_matrixAddXsecFit(). [IN]
p_interp_order (Index, optional) – , optionalSee propagation_matrixAddLookup(). [IN]
t_interp_order (Index, optional) – , optionalSee propagation_matrixAddLookup(). [IN]
water_interp_order (Index, optional) – , optionalSee propagation_matrixAddLookup(). [IN]
f_interp_order (Index, optional) – , optionalSee propagation_matrixAddLookup(). [IN]
extpolfac (Numeric, optional) – , optionalSee propagation_matrixAddLookup(). [IN]

propagation_matrix_agendaExecute(self, propagation_matrix: pyarts.arts.PropmatVector | None = None, propagation_matrix_source_vector_nonlte: pyarts.arts.StokvecVector | None = None, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, propagation_matrix_source_vector_nonlte_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, frequency_grid_wind_shift_jacobian: pyarts.arts.Vector3 | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, propagation_matrix_select_species: pyarts.arts.SpeciesEnum | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, propagation_matrix_agenda: pyarts.arts.Agenda | None = None) → None

Executes propagation_matrix_agenda, see it for more details

Author(s): Automatically Generated

Parameters:

propagation_matrix (PropmatVector, optional) – This contains the propagation matrix for the current path point. See propagation_matrix, defaults to self.propagation_matrix [OUT]
propagation_matrix_source_vector_nonlte (StokvecVector, optional) – The part of the source vector that is due to non-LTE. See propagation_matrix_source_vector_nonlte, defaults to self.propagation_matrix_source_vector_nonlte [OUT]
propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [OUT]
propagation_matrix_source_vector_nonlte_jacobian (StokvecMatrix, optional) – Partial derivative of the propagation_matrix_source_vector_nonlte with regards to jacobian_targets. See propagation_matrix_source_vector_nonlte_jacobian, defaults to self.propagation_matrix_source_vector_nonlte_jacobian [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
frequency_grid_wind_shift_jacobian (Vector3, optional) – The frequency grid wind shift Jacobian. See frequency_grid_wind_shift_jacobian, defaults to self.frequency_grid_wind_shift_jacobian [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
propagation_matrix_select_species (SpeciesEnum, optional) – A select species tag group from absorption_species. See propagation_matrix_select_species, defaults to self.propagation_matrix_select_species [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [IN]

propagation_matrix_agendaSet(self, propagation_matrix_agenda: pyarts.arts.Agenda | None = None, option: pyarts.arts.String | None = None) → None

Sets propagation_matrix_agenda to a default value

Please consider using propagation_matrix_agendaAuto() instead of one of these options as it will ensure you have the best coverage of use cases. The options below are available for feature testing

See propagation_matrix_agendaPredefined for valid option

Author(s): Richard Larsson

Parameters:

propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [OUT]
option (String) – Default agenda option (see description). [IN]

propagation_matrix_jacobianWindFix(self, propagation_matrix_jacobian: pyarts.arts.PropmatMatrix | None = None, propagation_matrix_source_vector_nonlte_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, frequency_grid_wind_shift_jacobian: pyarts.arts.Vector3 | None = None) → None

Fix for the wind field derivative.

The propagation_matrix_agenda will set the wind derivatives to those of the frequency derivative if this method is not used. This will cause the wind field to be treated as a frequency derivative, meaning no OEM or other functionality that requires the Jacobian matrix to be calculated will work.

Author(s): Richard Larsson

Parameters:

propagation_matrix_jacobian (PropmatMatrix, optional) – . See propagation_matrix_jacobian, defaults to self.propagation_matrix_jacobian [INOUT]
propagation_matrix_source_vector_nonlte_jacobian (StokvecMatrix, optional) – Partial derivative of the propagation_matrix_source_vector_nonlte with regards to jacobian_targets. See propagation_matrix_source_vector_nonlte_jacobian, defaults to self.propagation_matrix_source_vector_nonlte_jacobian [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
frequency_grid_wind_shift_jacobian (Vector3, optional) – The frequency grid wind shift Jacobian. See frequency_grid_wind_shift_jacobian, defaults to self.frequency_grid_wind_shift_jacobian [IN]

propagation_matrix_scatteringAirSimple(self, propagation_matrix_scattering: pyarts.arts.PropmatVector | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None) → None

Add simple air to propagation_matrix_scattering.

Author(s): Jon Petersen, Richard Larsson

Parameters:

propagation_matrix_scattering (PropmatVector, optional) – This contains the propagation matrix for scattering for the current path point. See propagation_matrix_scattering, defaults to self.propagation_matrix_scattering [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]

propagation_matrix_scatteringInit(self, propagation_matrix_scattering: pyarts.arts.PropmatVector | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None) → None

Initialize propagation_matrix_scattering to zeroes.

This method must be used inside propagation_matrix_scattering_agenda and then be called first.

Author(s): Richard Larsson

Parameters:

propagation_matrix_scattering (PropmatVector, optional) – This contains the propagation matrix for scattering for the current path point. See propagation_matrix_scattering, defaults to self.propagation_matrix_scattering [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]

propagation_matrix_scattering_agendaExecute(self, propagation_matrix_scattering: pyarts.arts.PropmatVector | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, atmospheric_point: pyarts.arts.AtmPoint | None = None, propagation_matrix_scattering_agenda: pyarts.arts.Agenda | None = None) → None

Executes propagation_matrix_scattering_agenda, see it for more details

Author(s): Automatically Generated

Parameters:

propagation_matrix_scattering (PropmatVector, optional) – This contains the propagation matrix for scattering for the current path point. See propagation_matrix_scattering, defaults to self.propagation_matrix_scattering [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
atmospheric_point (AtmPoint, optional) – An atmospheric point in ARTS. See atmospheric_point, defaults to self.atmospheric_point [IN]
propagation_matrix_scattering_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_scattering_agenda, defaults to self.propagation_matrix_scattering_agenda [IN]

propagation_matrix_scattering_agendaSet(self, propagation_matrix_scattering_agenda: pyarts.arts.Agenda | None = None, option: pyarts.arts.String | None = None) → None

Sets propagation_matrix_scattering_agenda to a default value

See propagation_matrix_scattering_agendaPredefined for valid option

Author(s): Richard Larsson

Parameters:

propagation_matrix_scattering_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_scattering_agenda, defaults to self.propagation_matrix_scattering_agenda [OUT]
option (String) – Default agenda option (see description). [IN]

ray_pathGeometric(self, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, pos: pyarts.arts.Vector3 | None = None, los: pyarts.arts.Vector2 | None = None, max_step: pyarts.arts.Numeric | None = None, surface_search_accuracy: pyarts.arts.Numeric | None = None, as_observer: pyarts.arts.Index | None = None, add_limb: pyarts.arts.Index | None = None, remove_non_atm: pyarts.arts.Index | None = None, fix_updown_azimuth: pyarts.arts.Index | None = None, surface_safe_search: pyarts.arts.Index | None = None) → None

Get a geometric radiation path

The path is defined by the origo and the line of sight.

The pos is either at the end or at the beginning of the path depending on the as_observer flag. A value that evaluates to true means that it is at the end of the path. If as_observer is true, the los is therefore looking backwards along the path. Basically, as_observer true means that pos and los behaves as sensor pos and los.

The max_step is the maximum step length in meters. The path is first created between the two extremes of either space and/or surface. Afterwards, there are additional points added every max_step meters between these points until no more fits (the last step is shorter or exactly max_step).

Upon closing the method, the following options are available to modify the output:

If add_limb is true, the limb point is added to the path at the end. It is computed using bisections to ensure that the zenith angle of the tangent point is as close to 90 degrees as it can numerically be.

If remove_non_atm is true, all points that are not in the atmosphere are removed. It is recommended to remove these points as multiple methods will either perform poorly or not at all with these points present.

If fix_updown_azimuth is true, the azimuthal angle of the path is fixed to the initial azimuthal angle of the path. Because calculations of the azimuth angle makes use of IEEE atan2, some paths may produce bad angles if this is turned off.

Author(s): Richard Larsson

Parameters:

ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
pos (Vector3) – The origo of the radiation path. [IN]
los (Vector2) – The line of sight of the radiation path. [IN]
max_step (Numeric, optional) – , optionalThe maximum step length. [IN]
surface_search_accuracy (Numeric, optional) – , optionalThe accuracy within which the surface intersection is counted as a hit. [IN]
as_observer (Index, optional) – , optionalWhether or not the path is as seen by the sensor or by the radiation (see text). [IN]
add_limb (Index, optional) – , optionalWheter or not to add the limb point. [IN]
remove_non_atm (Index, optional) – , optionalWheter or not to keep only atmospheric points. [IN]
fix_updown_azimuth (Index, optional) – , optionalWhether or not to attempt fix a potential issue with the path azimuthal angle. [IN]
surface_safe_search (Index, optional) – , optionalWhether or not to search for the surface intersection in a safer but slower manner. [IN]

ray_pathGeometricDownlooking(self, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, latitude: pyarts.arts.Numeric | None = None, longitude: pyarts.arts.Numeric | None = None, max_step: pyarts.arts.Numeric | None = None) → None

Wraps ray_pathGeometric() for straight downlooking paths from the top-of-the-atmosphere altitude

Author(s): Richard Larsson

Parameters:

ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
latitude (Numeric) – The Latitude. [IN]
longitude (Numeric) – The Longitude. [IN]
max_step (Numeric, optional) – , optionalThe maximum step length. [IN]

ray_pathGeometricTangentAltitude(self, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, pos: pyarts.arts.Vector3 | None = None, tangent_altitude: pyarts.arts.Numeric | None = None, azimuth: pyarts.arts.Numeric | None = None, max_step: pyarts.arts.Numeric | None = None, as_observer: pyarts.arts.Index | None = None, add_limb: pyarts.arts.Index | None = None, remove_non_atm: pyarts.arts.Index | None = None, fix_updown_azimuth: pyarts.arts.Index | None = None) → None

Get a geometric radiation path that crosses the tangent altitude

The path is defined by an azimuth, a position, and a tangent altitude. If the path ends up crossing the surface altitude, an error is thrown.

The pos is either at the end or at the beginning of the path depending on the as_observer flag. A value that evaluates to true means that it is at the end of the path. If as_observer is true, the azimuth is therefore looking backwards along the path. Basically, as_observer true means that pos and azimuth behaves as sensor pos and azimuth.

The max_step is the maximum step length in meters. The path is first created between the two extremes of space and space. Afterwards, there are additional points added every max_step meters between these points until no more fits (the last step is shorter or exactly max_step).

Upon closing the method, the following options are available to modify the output:

If add_limb is true, the limb point is added to the path at the end. It is computed using bisections to ensure that the zenith angle of the tangent point is as close to 90 degrees as it can numerically be.

If remove_non_atm is true, all points that are not in the atmosphere are removed. It is recommended to remove these points as multiple methods will either perform poorly or not at all with these points present.

If fix_updown_azimuth is true, the azimuthal angle of the path is fixed to the initial azimuthal angle of the path. Because calculations of the azimuth angle makes use of IEEE atan2, some paths may produce bad angles if this is turned off.

Author(s): Richard Larsson

Parameters:

ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
pos (Vector3) – The origo of the radiation path. [IN]
tangent_altitude (Numeric) – The tangent altitude of the radiation path. [IN]
azimuth (Numeric) – The azimuth from the origo of the radiation path towards the tangent altitude. [IN]
max_step (Numeric, optional) – , optionalThe maximum step length. [IN]
as_observer (Index, optional) – , optionalWhether or not the path is as seen by the sensor or by the radiation (see text). [IN]
add_limb (Index, optional) – , optionalWheter or not to add the limb point. [IN]
remove_non_atm (Index, optional) – , optionalWheter or not to keep only atmospheric points. [IN]
fix_updown_azimuth (Index, optional) – , optionalWhether or not to attempt fix a potential issue with the path azimuthal angle. [IN]

ray_pathGeometricUplooking(self, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, latitude: pyarts.arts.Numeric | None = None, longitude: pyarts.arts.Numeric | None = None, max_step: pyarts.arts.Numeric | None = None) → None

Wraps ray_pathGeometric() for straight uplooking paths from the surface altitude at the position

Author(s): Richard Larsson

Parameters:

ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
latitude (Numeric) – The Latitude. [IN]
longitude (Numeric) – The Longitude. [IN]
max_step (Numeric, optional) – , optionalThe maximum step length. [IN]

ray_path_atmospheric_pointExtendInPressure(self, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None, extended_max_pressure: pyarts.arts.Numeric | None = None, extended_min_pressure: pyarts.arts.Numeric | None = None, extrapolation_option: pyarts.arts.String | None = None) → None

Gets the atmospheric points along the path.

Author(s): Richard Larsson

Parameters:

ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [INOUT]
extended_max_pressure (Numeric, optional) – , optionalMaximum pressure to extend to. [IN]
extended_min_pressure (Numeric, optional) – , optionalMinimum pressure to extend to. [IN]
extrapolation_option (String, optional) – , optionalExtrapolation option. [IN]

ray_path_atmospheric_pointFromPath(self, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, atmospheric_field: pyarts.arts.AtmField | None = None) → None

Gets the atmospheric points along the path.

Author(s): Richard Larsson

Parameters:

ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [OUT]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]

ray_path_frequency_gridFromPath(self, ray_path_frequency_grid: pyarts.arts.ArrayOfAscendingGrid | None = None, ray_path_frequency_grid_wind_shift_jacobian: pyarts.arts.ArrayOfVector3 | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None) → None

Gets the frequency grid along the path.

Author(s): Richard Larsson

Parameters:

ray_path_frequency_grid (ArrayOfAscendingGrid, optional) – All frequency_grid along the propagation path. See ray_path_frequency_grid, defaults to self.ray_path_frequency_grid [OUT]
ray_path_frequency_grid_wind_shift_jacobian (ArrayOfVector3, optional) – A list of frequency_grid_wind_shift_jacobian for a ray path. See ray_path_frequency_grid_wind_shift_jacobian, defaults to self.ray_path_frequency_grid_wind_shift_jacobian [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]

ray_path_observer_agendaExecute(self, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, spectral_radiance_observer_position: pyarts.arts.Vector3 | None = None, spectral_radiance_observer_line_of_sight: pyarts.arts.Vector2 | None = None, ray_path_observer_agenda: pyarts.arts.Agenda | None = None) → None

Executes ray_path_observer_agenda, see it for more details

Author(s): Automatically Generated

Parameters:

ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [OUT]
spectral_radiance_observer_position (Vector3, optional) – The position of an observer of spectral radiance. See spectral_radiance_observer_position, defaults to self.spectral_radiance_observer_position [IN]
spectral_radiance_observer_line_of_sight (Vector2, optional) – The position of the observer of spectral radiance. See spectral_radiance_observer_line_of_sight, defaults to self.spectral_radiance_observer_line_of_sight [IN]
ray_path_observer_agenda (Agenda, optional) – Get the propagation path as it is obeserved. See ray_path_observer_agenda, defaults to self.ray_path_observer_agenda [IN]

ray_path_observer_agendaSet(self, ray_path_observer_agenda: pyarts.arts.Agenda | None = None, option: pyarts.arts.String | None = None) → None

Sets ray_path_observer_agenda

See ray_path_observer_agendaPredefined for valid option

Author(s): Richard Larsson

Parameters:

ray_path_observer_agenda (Agenda, optional) – Get the propagation path as it is obeserved. See ray_path_observer_agenda, defaults to self.ray_path_observer_agenda [OUT]
option (String) – Default agenda option (see description). [IN]

ray_path_pointBackground(self, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None) → None

Sets ray_path_point to the expected background point of ray_path

Author(s): Richard Larsson

Parameters:

ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [OUT]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]

ray_path_pointForeground(self, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None) → None

Sets ray_path_point to the expected foreground point of ray_path

Author(s): Richard Larsson

Parameters:

ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [OUT]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]

ray_path_pointLowestFromPath(self, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None) → None

Sets ray_path_point to the lowest point of ray_path.

Author(s): Richard Larsson

Parameters:

ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [OUT]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]

ray_path_propagation_matrixAddScattering(self, ray_path_propagation_matrix: pyarts.arts.ArrayOfPropmatVector | None = None, ray_path_propagation_matrix_scattering: pyarts.arts.ArrayOfPropmatVector | None = None) → None

Adds the scattering part of the propagation matrix to the rest along the path.

The calculations are in parallel if the program is not in parallel already.

Author(s): Richard Larsson

Parameters:

ray_path_propagation_matrix (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path. See ray_path_propagation_matrix, defaults to self.ray_path_propagation_matrix [INOUT]
ray_path_propagation_matrix_scattering (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path for scattering. See ray_path_propagation_matrix_scattering, defaults to self.ray_path_propagation_matrix_scattering [IN]

ray_path_propagation_matrixFromPath(self, ray_path_propagation_matrix: pyarts.arts.ArrayOfPropmatVector | None = None, ray_path_propagation_matrix_source_vector_nonlte: pyarts.arts.ArrayOfStokvecVector | None = None, ray_path_propagation_matrix_jacobian: pyarts.arts.ArrayOfPropmatMatrix | None = None, ray_path_propagation_matrix_source_vector_nonlte_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, propagation_matrix_agenda: pyarts.arts.Agenda | None = None, ray_path_frequency_grid: pyarts.arts.ArrayOfAscendingGrid | None = None, ray_path_frequency_grid_wind_shift_jacobian: pyarts.arts.ArrayOfVector3 | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None) → None

Gets the propagation matrix and non-LTE source term along the path.

The calculations are in parallel if the program is not in parallel already.

Also outputs the ray_path_frequency_grid as a side effect (of wind).

Author(s): Richard Larsson

Parameters:

ray_path_propagation_matrix (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path. See ray_path_propagation_matrix, defaults to self.ray_path_propagation_matrix [OUT]
ray_path_propagation_matrix_source_vector_nonlte (ArrayOfStokvecVector, optional) – Additional non-LTE along the propagation path. See ray_path_propagation_matrix_source_vector_nonlte, defaults to self.ray_path_propagation_matrix_source_vector_nonlte [OUT]
ray_path_propagation_matrix_jacobian (ArrayOfPropmatMatrix, optional) – Propagation derivative matrices along the propagation path. See ray_path_propagation_matrix_jacobian, defaults to self.ray_path_propagation_matrix_jacobian [OUT]
ray_path_propagation_matrix_source_vector_nonlte_jacobian (ArrayOfStokvecMatrix, optional) – Additional non-LTE derivative along the propagation path. See ray_path_propagation_matrix_source_vector_nonlte_jacobian, defaults to self.ray_path_propagation_matrix_source_vector_nonlte_jacobian [OUT]
propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [IN]
ray_path_frequency_grid (ArrayOfAscendingGrid, optional) – All frequency_grid along the propagation path. See ray_path_frequency_grid, defaults to self.ray_path_frequency_grid [IN]
ray_path_frequency_grid_wind_shift_jacobian (ArrayOfVector3, optional) – A list of frequency_grid_wind_shift_jacobian for a ray path. See ray_path_frequency_grid_wind_shift_jacobian, defaults to self.ray_path_frequency_grid_wind_shift_jacobian [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]

ray_path_propagation_matrix_scatteringFromPath(self, ray_path_propagation_matrix_scattering: pyarts.arts.ArrayOfPropmatVector | None = None, propagation_matrix_scattering_agenda: pyarts.arts.Agenda | None = None, ray_path_frequency_grid: pyarts.arts.ArrayOfAscendingGrid | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None) → None

Gets the propagation matrix for scattering along the path.

The calculations are in parallel if the program is not in parallel already.

Author(s): Richard Larsson

Parameters:

ray_path_propagation_matrix_scattering (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path for scattering. See ray_path_propagation_matrix_scattering, defaults to self.ray_path_propagation_matrix_scattering [OUT]
propagation_matrix_scattering_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_scattering_agenda, defaults to self.propagation_matrix_scattering_agenda [IN]
ray_path_frequency_grid (ArrayOfAscendingGrid, optional) – All frequency_grid along the propagation path. See ray_path_frequency_grid, defaults to self.ray_path_frequency_grid [IN]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]

ray_path_spectral_radiance_scatteringSunsFirstOrderRayleigh(self, ray_path_spectral_radiance_scattering: pyarts.arts.ArrayOfStokvecVector | None = None, ray_path_propagation_matrix_scattering: pyarts.arts.ArrayOfPropmatVector | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, ray_path_suns_path: pyarts.arts.ArrayOfArrayOfArrayOfPropagationPathPoint | None = None, suns: pyarts.arts.ArrayOfSun | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, propagation_matrix_agenda: pyarts.arts.Agenda | None = None, depolarization_factor: pyarts.arts.Numeric | None = None, hse_derivative: pyarts.arts.Index | None = None) → None

Add suns to ray_path_spectral_radiance_source.

Author(s): Richard Larsson

Parameters:

ray_path_spectral_radiance_scattering (ArrayOfStokvecVector, optional) – Spectral radiance scattered into the propagation path. See ray_path_spectral_radiance_scattering, defaults to self.ray_path_spectral_radiance_scattering [OUT]
ray_path_propagation_matrix_scattering (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path for scattering. See ray_path_propagation_matrix_scattering, defaults to self.ray_path_propagation_matrix_scattering [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
ray_path_suns_path (ArrayOfArrayOfArrayOfPropagationPathPoint, optional) – A list of paths to the suns from the ray path. See ray_path_suns_path, defaults to self.ray_path_suns_path [IN]
suns (ArrayOfSun, optional) – A list of Sun. See suns, defaults to self.suns [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [IN]
depolarization_factor (Numeric, optional) – , optionalThe depolarization factor to use. [IN]
hse_derivative (Index, optional) – , optionalFlag to compute the hypsometric distance derivatives. [IN]

ray_path_spectral_radiance_sourceAddScattering(self, ray_path_spectral_radiance_source: pyarts.arts.ArrayOfStokvecVector | None = None, ray_path_spectral_radiance_scattering: pyarts.arts.ArrayOfStokvecVector | None = None, ray_path_propagation_matrix: pyarts.arts.ArrayOfPropmatVector | None = None) → None

Adds the scattering part of the propagation matrix to the rest along the path.

The calculations are in parallel if the program is not in parallel already.

Author(s): Richard Larsson

Parameters:

ray_path_spectral_radiance_source (ArrayOfStokvecVector, optional) – Source vectors along the propagation path. See ray_path_spectral_radiance_source, defaults to self.ray_path_spectral_radiance_source [INOUT]
ray_path_spectral_radiance_scattering (ArrayOfStokvecVector, optional) – Spectral radiance scattered into the propagation path. See ray_path_spectral_radiance_scattering, defaults to self.ray_path_spectral_radiance_scattering [IN]
ray_path_propagation_matrix (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path. See ray_path_propagation_matrix, defaults to self.ray_path_propagation_matrix [IN]

ray_path_spectral_radiance_sourceFromPropmat(self, ray_path_spectral_radiance_source: pyarts.arts.ArrayOfStokvecVector | None = None, ray_path_spectral_radiance_source_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, ray_path_propagation_matrix: pyarts.arts.ArrayOfPropmatVector | None = None, ray_path_propagation_matrix_source_vector_nonlte: pyarts.arts.ArrayOfStokvecVector | None = None, ray_path_propagation_matrix_jacobian: pyarts.arts.ArrayOfPropmatMatrix | None = None, ray_path_propagation_matrix_source_vector_nonlte_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, ray_path_frequency_grid: pyarts.arts.ArrayOfAscendingGrid | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Gets the source term along the path.

Author(s): Richard Larsson

Parameters:

ray_path_spectral_radiance_source (ArrayOfStokvecVector, optional) – Source vectors along the propagation path. See ray_path_spectral_radiance_source, defaults to self.ray_path_spectral_radiance_source [OUT]
ray_path_spectral_radiance_source_jacobian (ArrayOfStokvecMatrix, optional) – Source derivative vectors along the propagation path. See ray_path_spectral_radiance_source_jacobian, defaults to self.ray_path_spectral_radiance_source_jacobian [OUT]
ray_path_propagation_matrix (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path. See ray_path_propagation_matrix, defaults to self.ray_path_propagation_matrix [IN]
ray_path_propagation_matrix_source_vector_nonlte (ArrayOfStokvecVector, optional) – Additional non-LTE along the propagation path. See ray_path_propagation_matrix_source_vector_nonlte, defaults to self.ray_path_propagation_matrix_source_vector_nonlte [IN]
ray_path_propagation_matrix_jacobian (ArrayOfPropmatMatrix, optional) – Propagation derivative matrices along the propagation path. See ray_path_propagation_matrix_jacobian, defaults to self.ray_path_propagation_matrix_jacobian [IN]
ray_path_propagation_matrix_source_vector_nonlte_jacobian (ArrayOfStokvecMatrix, optional) – Additional non-LTE derivative along the propagation path. See ray_path_propagation_matrix_source_vector_nonlte_jacobian, defaults to self.ray_path_propagation_matrix_source_vector_nonlte_jacobian [IN]
ray_path_frequency_grid (ArrayOfAscendingGrid, optional) – All frequency_grid along the propagation path. See ray_path_frequency_grid, defaults to self.ray_path_frequency_grid [IN]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

ray_path_suns_pathFromPathObserver(self, ray_path_suns_path: pyarts.arts.ArrayOfArrayOfArrayOfPropagationPathPoint | None = None, surface_field: pyarts.arts.SurfaceField | None = None, ray_path_observer_agenda: pyarts.arts.Agenda | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, suns: pyarts.arts.ArrayOfSun | None = None, angle_cut: pyarts.arts.Numeric | None = None, refinement: pyarts.arts.Index | None = None, just_hit: pyarts.arts.Index | None = None) → None

Wraps sun_pathFromObserverAgenda() for all paths to all suns.

Author(s): Richard Larsson

Parameters:

ray_path_suns_path (ArrayOfArrayOfArrayOfPropagationPathPoint, optional) – A list of paths to the suns from the ray path. See ray_path_suns_path, defaults to self.ray_path_suns_path [OUT]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
ray_path_observer_agenda (Agenda, optional) – Get the propagation path as it is obeserved. See ray_path_observer_agenda, defaults to self.ray_path_observer_agenda [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
suns (ArrayOfSun, optional) – A list of Sun. See suns, defaults to self.suns [IN]
angle_cut (Numeric, optional) – , optionalThe angle delta-cutoff in the iterative solver [0.0, …]. [IN]
refinement (Index, optional) – , optionalThe refinement of the search algorithm (twice the power of this is the resultion). [IN]
just_hit (Index, optional) – , optionalWhether or not it is enough to just hit the sun or if better accuracy is needed. [IN]

ray_path_transmission_matrixFromPath(self, ray_path_transmission_matrix: pyarts.arts.ArrayOfMuelmatVector | None = None, ray_path_transmission_matrix_jacobian: pyarts.arts.ArrayOfMuelmatTensor3 | None = None, ray_path_propagation_matrix: pyarts.arts.ArrayOfPropmatVector | None = None, ray_path_propagation_matrix_jacobian: pyarts.arts.ArrayOfPropmatMatrix | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None, surface_field: pyarts.arts.SurfaceField | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, hse_derivative: pyarts.arts.Index | None = None) → None

Gets the transmission matrix in layers along the path.

The assumption is that each path variable forms a layer from the ray path. So there is a reduction in size by one. A demand therefore is that there are at least 2 points in the path.

The derivatives first dimensions are also 2, the first for the derivative wrt the level before and one for the level after.

Author(s): Richard Larsson

Parameters:

ray_path_transmission_matrix (ArrayOfMuelmatVector, optional) – Transmission matrices along the propagation path. See ray_path_transmission_matrix, defaults to self.ray_path_transmission_matrix [OUT]
ray_path_transmission_matrix_jacobian (ArrayOfMuelmatTensor3, optional) – Transmission derivative matrices along the propagation path. See ray_path_transmission_matrix_jacobian, defaults to self.ray_path_transmission_matrix_jacobian [OUT]
ray_path_propagation_matrix (ArrayOfPropmatVector, optional) – Propagation matrices along the propagation path. See ray_path_propagation_matrix, defaults to self.ray_path_propagation_matrix [IN]
ray_path_propagation_matrix_jacobian (ArrayOfPropmatMatrix, optional) – Propagation derivative matrices along the propagation path. See ray_path_propagation_matrix_jacobian, defaults to self.ray_path_propagation_matrix_jacobian [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
hse_derivative (Index, optional) – , optionalFlag to compute the hypsometric distance derivatives. [IN]

ray_path_transmission_matrix_cumulativeFromPath(self, ray_path_transmission_matrix_cumulative: pyarts.arts.ArrayOfMuelmatVector | None = None, ray_path_transmission_matrix: pyarts.arts.ArrayOfMuelmatVector | None = None) → None

Sets ray_path_transmission_matrix_cumulative by forward iteration of ray_path_transmission_matrix

Author(s): Richard Larsson

Parameters:

ray_path_transmission_matrix_cumulative (ArrayOfMuelmatVector, optional) – Cumulative transmission matrices along the propagation path. See ray_path_transmission_matrix_cumulative, defaults to self.ray_path_transmission_matrix_cumulative [OUT]
ray_path_transmission_matrix (ArrayOfMuelmatVector, optional) – Transmission matrices along the propagation path. See ray_path_transmission_matrix, defaults to self.ray_path_transmission_matrix [IN]

ray_path_zeeman_magnetic_fieldFromPath(self, ray_path_zeeman_magnetic_field: pyarts.arts.ArrayOfVector3 | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, ray_path_atmospheric_point: pyarts.arts.ArrayOfAtmPoint | None = None) → None

Sets A path of Zeeman effec magnetic field properties.

This will return a list of magnetic field properties along the path. The magnetic properties in Zeeman coordinates are the absolute strength [H], the angle between the magnetic field and the line of sight [theta], and the the rotation of the magnetic field in the plane perpendicular to the line of sight [eta].

Author(s): Richard Larsson

Parameters:

ray_path_zeeman_magnetic_field (ArrayOfVector3) – Along-the-path [H, theta, eta]. Defaults to create and/or use self.ray_path_zeeman_magnetic_field : ArrayOfVector3. [OUT]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
ray_path_atmospheric_point (ArrayOfAtmPoint, optional) – Atmospheric points along the propagation path. See ray_path_atmospheric_point, defaults to self.ray_path_atmospheric_point [IN]

set(self, name: str, value: pyarts.arts.PolarizationChoice | pyarts.arts.MoonEllipsoid | pyarts.arts.JupiterEllipsoid | pyarts.arts.IoEllipsoid | pyarts.arts.EarthEllipsoid | pyarts.arts.MarsEllipsoid | pyarts.arts.FileType | pyarts.arts.AbsorptionCutoffTypeOld | pyarts.arts.AbsorptionPopulationTypeOld | pyarts.arts.AbsorptionNormalizationTypeOld | pyarts.arts.AbsorptionMirroringTypeOld | pyarts.arts.FieldComponent | pyarts.arts.AbsorptionBandSortingOption | pyarts.arts.HitranType | pyarts.arts.spectral_radiance_surface_agendaPredefined | pyarts.arts.spectral_radiance_observer_agendaPredefined | pyarts.arts.propagation_matrix_scattering_agendaPredefined | pyarts.arts.LineByLineLineshape | pyarts.arts.LineByLineVariable | pyarts.arts.disort_settings_agendaPredefined | pyarts.arts.LineShapeModelVariable | pyarts.arts.HydrostaticPressureOption | pyarts.arts.LineShapeModelCoefficient | pyarts.arts.propagation_matrix_agendaPredefined | pyarts.arts.QuantumNumberType | pyarts.arts.SpeciesEnum | pyarts.arts.PartitionFunctionsType | pyarts.arts.InterpolationExtrapolation | pyarts.arts.GridType | pyarts.arts.HitranLineStrengthOption | pyarts.arts.SensorKeyType | pyarts.arts.AbsorptionLookupTable | pyarts.arts.DisortSettings | pyarts.arts.SensorPosLosVector | pyarts.arts.ArrayOfSpeciesIsotope | pyarts.arts.SpeciesIsotope | pyarts.arts.AscendingGrid | pyarts.arts.DescendingGrid | pyarts.arts.ArrayOfVector3 | pyarts.arts.Vector2 | pyarts.arts.Vector3 | pyarts.arts.GanymedeEllipsoid | pyarts.arts.TimeStepType | pyarts.arts.ArrayOfArrayOfArrayOfPropagationPathPoint | pyarts.arts.ArrayOfArrayOfPropagationPathPoint | pyarts.arts.LineShapeTemperatureModelOld | pyarts.arts.PropagationPathPoint | pyarts.arts.IsoRatioOption | pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | pyarts.arts.JacobianTargetType | pyarts.arts.ArrayOfSensorObsel | pyarts.arts.JacobianTargets | pyarts.arts.LineByLineCutoffType | pyarts.arts.NumericTernaryOperator | pyarts.arts.NumericBinaryOperator | pyarts.arts.SpectralRadianceUnitType | pyarts.arts.ray_path_observer_agendaPredefined | pyarts.arts.ArrayOfArrayOfStokvecMatrix | pyarts.arts.ArrayOfArrayOfMuelmatMatrix | pyarts.arts.SurfacePropertyTag | pyarts.arts.ArrayOfScatteringSpecies | pyarts.arts.ArrayOfPropmatMatrix | pyarts.arts.PlanetOrMoonType | pyarts.arts.ArrayOfTensor4 | pyarts.arts.PathPositionType | pyarts.arts.SurfaceField | pyarts.arts.ArrayOfAscendingGrid | pyarts.arts.Tensor6 | pyarts.arts.ArrayOfTensor6 | pyarts.arts.LineShapeVariableOld | pyarts.arts.LinemixingEcsData | pyarts.arts.ArrayOfTensor3 | pyarts.arts.EuropaEllipsoid | pyarts.arts.ArrayOfTelsemAtlas | pyarts.arts.ArrayOfTensor7 | pyarts.arts.ArrayOfTime | pyarts.arts.XsecRecord | pyarts.arts.MissingFieldComponentError | pyarts.arts.MatrixOfDisortBDRF | pyarts.arts.ArrayOfSun | pyarts.arts.Sun | pyarts.arts.Index | pyarts.arts.SurfaceTypeTag | pyarts.arts.ArrayOfArrayOfPropmatVector | pyarts.arts.ArrayOfSpeciesTag | pyarts.arts.Tensor3 | pyarts.arts.GriddedField1Named | pyarts.arts.PairOfBlockMatrix | pyarts.arts.AtmData | pyarts.arts.SpeciesTagType | pyarts.arts.ArrayOfPropmatVector | pyarts.arts.ArrayOfArrayOfGriddedField1 | pyarts.arts.ArrayOfArrayOfTensor3 | pyarts.arts.AtmPoint | pyarts.arts.ScatteringMetaData | pyarts.arts.StokvecVector | pyarts.arts.MuelmatMatrix | pyarts.arts.ArrayOfGriddedField1Named | pyarts.arts.GriddedField3 | pyarts.arts.ArrayOfArrayOfMatrix | pyarts.arts.ArrayOfSpeciesEnum | pyarts.arts.PredefinedModelData | pyarts.arts.PropmatMatrix | pyarts.arts.ArrayOfArrayOfAbsorptionLines | pyarts.arts.DisortBDRF | pyarts.arts.ArrayOfAtmPoint | pyarts.arts.Any | pyarts.arts.LineShapeTypeOld | pyarts.arts.SensorJacobianModelType | pyarts.arts.Agenda | pyarts.arts.GasAbsLookup | pyarts.arts.ArrayOfAgenda | pyarts.arts.ArrayOfMuelmatVector | pyarts.arts.SurfaceKey | pyarts.arts.ArrayOfArrayOfGriddedField3 | pyarts.arts.VenusEllipsoid | pyarts.arts.ArrayOfVector | pyarts.arts.ArrayOfXsecRecord | pyarts.arts.AbsorptionBand | pyarts.arts.AbsorptionBands | pyarts.arts.ArrayOfArrayOfString | pyarts.arts.Numeric | pyarts.arts.ArrayOfTensor5 | pyarts.arts.ArrayOfAbsorptionLines | pyarts.arts.NamedGriddedField2 | pyarts.arts.ParticulateProperty | pyarts.arts.ArrayOfArrayOfIndex | pyarts.arts.QuantumIdentifier | pyarts.arts.SpeciesTag | pyarts.arts.NumericUnaryOperator | pyarts.arts.MCAntenna | pyarts.arts.Stokvec | pyarts.arts.ArrayOfNamedGriddedField2 | pyarts.arts.ArrayOfArrayOfScatteringMetaData | pyarts.arts.ArrayOfArrayOfGriddedField2 | pyarts.arts.AbsorptionLookupTables | pyarts.arts.AbsorptionLines | pyarts.arts.ArrayOfStokvecMatrix | pyarts.arts.ArrayOfSparse | pyarts.arts.ArrayOfArrayOfTensor6 | pyarts.arts.ArrayOfArrayOfSpeciesTag | pyarts.arts.ArrayOfSingleScatteringData | pyarts.arts.Tensor7 | pyarts.arts.spectral_radiance_space_agendaPredefined | pyarts.arts.ArrayOfArrayOfVector | pyarts.arts.ArrayOfGriddedField3 | pyarts.arts.ArrayOfString | pyarts.arts.CallbackOperator | pyarts.arts.ArrayOfQuantumIdentifier | pyarts.arts.Tensor5 | pyarts.arts.ScatteringSpeciesProperty | pyarts.arts.ArrayOfIndex | pyarts.arts.StokvecTensor6 | pyarts.arts.SpectralRadianceOperator | pyarts.arts.ArrayOfArrayOfMuelmatVector | pyarts.arts.BlockMatrix | pyarts.arts.ArrayOfArrayOfSingleScatteringData | pyarts.arts.ArrayOfGriddedField4 | pyarts.arts.ArrayOfMuelmatMatrix | pyarts.arts.ArrayOfArrayOfTime | pyarts.arts.ArrayOfGriddedField1 | pyarts.arts.ArrayOfPropagationPathPoint | pyarts.arts.ArrayOfCIARecord | pyarts.arts.SensorPosLos | pyarts.arts.ArrayOfScatteringMetaData | pyarts.arts.AtmField | pyarts.arts.StokvecGriddedField6 | pyarts.arts.CIARecord | pyarts.arts.Propmat | pyarts.arts.CovarianceMatrix | pyarts.arts.GriddedField1 | pyarts.arts.GriddedField2 | pyarts.arts.ComplexGriddedField2 | pyarts.arts.StokvecMatrix | pyarts.arts.ArrayOfStokvecVector | pyarts.arts.NamedGriddedField3 | pyarts.arts.ArrayOfMatrix | pyarts.arts.GriddedField4 | pyarts.arts.SurfacePoint | pyarts.arts.GriddedField5 | pyarts.arts.GriddedField6 | pyarts.arts.ArrayOfArrayOfPropmatMatrix | pyarts.arts.Matrix | pyarts.arts.Rational | pyarts.arts.StokvecTensor5 | pyarts.arts.SingleScatteringData | pyarts.arts.Sparse | pyarts.arts.ArrayOfGriddedField2 | pyarts.arts.String | pyarts.arts.TelsemAtlas | pyarts.arts.SensorObsel | pyarts.arts.SpeciesEnumVectors | pyarts.arts.Tensor4 | pyarts.arts.ArrayOfVector2 | pyarts.arts.StokvecTensor3 | pyarts.arts.Time | pyarts.arts.MuelmatTensor3 | pyarts.arts.Vector | pyarts.arts.LineShapeModelType | pyarts.arts.VibrationalEnergyLevels | pyarts.arts.Muelmat | pyarts.arts.AtmKey | pyarts.arts.PropmatVector | pyarts.arts.MuelmatVector | pyarts.arts.StokvecTensor4 | pyarts.arts.ArrayOfMuelmatTensor3 | pyarts.arts.TessemNN | pyarts.arts.ArrayOfStokvecTensor3 | pyarts.arts.ArrayOfArrayOfStokvecVector) → None: Set the variable to the new value.

sortedIndexOfBands(self, sorted: pyarts.arts.ArrayOfIndex | None = None, absorption_bands: pyarts.arts.AbsorptionBands | None = None, criteria: pyarts.arts.String | None = None, reverse: pyarts.arts.Index | None = None, temperature: pyarts.arts.Numeric | None = None) → None

Get the sorting of the bands by first quantum identifier then some criteria

The reverse sorting can also be achieved by setting reverse.

See AbsorptionBandSortingOption for valid criteria.

Author(s): Richard Larsson

Parameters:

sorted (ArrayOfIndex) – Sorted band indices (of absorption_bands). Defaults to create and/or use self.sorted : ArrayOfIndex. [OUT]
absorption_bands (AbsorptionBands, optional) – Bands of absorption lines for LBL calculations. See absorption_bands, defaults to self.absorption_bands [IN]
criteria (String, optional) – , optionalInternal sorting criteria. [IN]
reverse (Index, optional) – , optionalSort in reverse order if true. [IN]
temperature (Numeric, optional) – , optionalTemperature to use for integrated intensity. [IN]

spectral_radianceApplyUnit(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, spectral_radiance_unit: pyarts.arts.SpectralRadianceUnitType | None = None) → None

Applies a unit to spectral_radiance, returning a new field

See SpectralRadianceUnitType and spectral_radiance_unit for valid use cases and limitations.

Also be aware that spectral_radiance_jacobianApplyUnit() must be called before spectral_radianceApplyUnit().

Warning

This is a destructive method. Any use of it means that it is undefined behavior to use spectral_radiance or spectral_radiance_jacobian in future methods.

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
spectral_radiance_unit (SpectralRadianceUnitType, optional) – The spectral radiance unit after conversion. See spectral_radiance_unit, defaults to self.spectral_radiance_unit [IN]

spectral_radianceApplyUnitFromSpectralRadiance(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, spectral_radiance_unit: pyarts.arts.SpectralRadianceUnitType | None = None) → None

Apply unit changes to spectral radiance and its Jacobian

Warning

This is a destructive method. Any use of it means that it is undefined behavior to use spectral_radiance or spectral_radiance_jacobian in future methods.

Wrapper calling Methods (in order):

ray_path_pointForeground()

spectral_radiance_jacobianApplyUnit()

spectral_radianceApplyUnit()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.ray_path_pointForeground()
 ws.spectral_radiance_jacobianApplyUnit()
 ws.spectral_radianceApplyUnit()

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [INOUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [INOUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
spectral_radiance_unit (SpectralRadianceUnitType, optional) – The spectral radiance unit after conversion. See spectral_radiance_unit, defaults to self.spectral_radiance_unit [IN]

spectral_radianceClearskyBackgroundTransmission(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, propagation_matrix_agenda: pyarts.arts.Agenda | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, spectral_radiance_background: pyarts.arts.StokvecVector | None = None, spectral_radiance_background_jacobian: pyarts.arts.StokvecMatrix | None = None, surface_field: pyarts.arts.SurfaceField | None = None, hse_derivative: pyarts.arts.Index | None = None) → None

Computes clearsky transmission of spectral radiances

Wrapper calling Methods (in order):

ray_path_pointBackground()

ray_path_atmospheric_pointFromPath()

ray_path_frequency_gridFromPath()

ray_path_propagation_matrixFromPath()

ray_path_transmission_matrixFromPath()

ray_path_transmission_matrix_cumulativeFromPath()

transmission_matrix_backgroundFromPathPropagationBack()

spectral_radianceCumulativeTransmission()

spectral_radiance_jacobianFromBackground()

spectral_radiance_jacobianAddPathPropagation()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.ray_path_pointBackground()
 ws.ray_path_atmospheric_pointFromPath()
 ws.ray_path_frequency_gridFromPath()
 ws.ray_path_propagation_matrixFromPath()
 ws.ray_path_transmission_matrixFromPath()
 ws.ray_path_transmission_matrix_cumulativeFromPath()
 ws.transmission_matrix_backgroundFromPathPropagationBack()
 ws.spectral_radianceCumulativeTransmission()
 ws.spectral_radiance_jacobianFromBackground()
 ws.spectral_radiance_jacobianAddPathPropagation()

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
spectral_radiance_background (StokvecVector, optional) – Spectral radiance from the background. See spectral_radiance_background, defaults to self.spectral_radiance_background [IN]
spectral_radiance_background_jacobian (StokvecMatrix, optional) – Spectral radiance derivative from the background. See spectral_radiance_background_jacobian, defaults to self.spectral_radiance_background_jacobian [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
hse_derivative (Index, optional) – , optionalFlag to compute the hypsometric distance derivatives. [IN]

spectral_radianceClearskyEmission(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, propagation_matrix_agenda: pyarts.arts.Agenda | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, spectral_radiance_space_agenda: pyarts.arts.Agenda | None = None, spectral_radiance_surface_agenda: pyarts.arts.Agenda | None = None, surface_field: pyarts.arts.SurfaceField | None = None, hse_derivative: pyarts.arts.Index | None = None) → None

Computes clearsky emission of spectral radiances

Wrapper calling Methods (in order):

ray_path_pointBackground()

spectral_radiance_backgroundAgendasAtEndOfPath()

ray_path_atmospheric_pointFromPath()

ray_path_frequency_gridFromPath()

ray_path_propagation_matrixFromPath()

ray_path_transmission_matrixFromPath()

ray_path_transmission_matrix_cumulativeFromPath()

ray_path_spectral_radiance_sourceFromPropmat()

transmission_matrix_backgroundFromPathPropagationBack()

spectral_radianceStepByStepEmission()

spectral_radiance_jacobianFromBackground()

spectral_radiance_jacobianAddPathPropagation()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.ray_path_pointBackground()
 ws.spectral_radiance_backgroundAgendasAtEndOfPath()
 ws.ray_path_atmospheric_pointFromPath()
 ws.ray_path_frequency_gridFromPath()
 ws.ray_path_propagation_matrixFromPath()
 ws.ray_path_transmission_matrixFromPath()
 ws.ray_path_transmission_matrix_cumulativeFromPath()
 ws.ray_path_spectral_radiance_sourceFromPropmat()
 ws.transmission_matrix_backgroundFromPathPropagationBack()
 ws.spectral_radianceStepByStepEmission()
 ws.spectral_radiance_jacobianFromBackground()
 ws.spectral_radiance_jacobianAddPathPropagation()

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
spectral_radiance_space_agenda (Agenda, optional) – Spectral radiance as seen of space. See spectral_radiance_space_agenda, defaults to self.spectral_radiance_space_agenda [IN]
spectral_radiance_surface_agenda (Agenda, optional) – Spectral radiance as seen of the surface. See spectral_radiance_surface_agenda, defaults to self.spectral_radiance_surface_agenda [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
hse_derivative (Index, optional) – , optionalFlag to compute the hypsometric distance derivatives. [IN]

spectral_radianceClearskyRayleighScattering(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, propagation_matrix_agenda: pyarts.arts.Agenda | None = None, propagation_matrix_scattering_agenda: pyarts.arts.Agenda | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, ray_path_suns_path: pyarts.arts.ArrayOfArrayOfArrayOfPropagationPathPoint | None = None, spectral_radiance_space_agenda: pyarts.arts.Agenda | None = None, spectral_radiance_surface_agenda: pyarts.arts.Agenda | None = None, suns: pyarts.arts.ArrayOfSun | None = None, surface_field: pyarts.arts.SurfaceField | None = None, hse_derivative: pyarts.arts.Index | None = None, depolarization_factor: pyarts.arts.Numeric | None = None) → None

Computes clearsky emission of spectral radiances

Wrapper calling Methods (in order):

ray_path_pointBackground()

spectral_radiance_backgroundAgendasAtEndOfPath()

ray_path_atmospheric_pointFromPath()

ray_path_frequency_gridFromPath()

ray_path_propagation_matrixFromPath()

ray_path_propagation_matrix_scatteringFromPath()

ray_path_propagation_matrixAddScattering()

ray_path_transmission_matrixFromPath()

ray_path_transmission_matrix_cumulativeFromPath()

ray_path_spectral_radiance_sourceFromPropmat()

ray_path_spectral_radiance_scatteringSunsFirstOrderRayleigh()

ray_path_spectral_radiance_sourceAddScattering()

transmission_matrix_backgroundFromPathPropagationBack()

spectral_radianceStepByStepEmission()

spectral_radiance_jacobianFromBackground()

spectral_radiance_jacobianAddPathPropagation()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.ray_path_pointBackground()
 ws.spectral_radiance_backgroundAgendasAtEndOfPath()
 ws.ray_path_atmospheric_pointFromPath()
 ws.ray_path_frequency_gridFromPath()
 ws.ray_path_propagation_matrixFromPath()
 ws.ray_path_propagation_matrix_scatteringFromPath()
 ws.ray_path_propagation_matrixAddScattering()
 ws.ray_path_transmission_matrixFromPath()
 ws.ray_path_transmission_matrix_cumulativeFromPath()
 ws.ray_path_spectral_radiance_sourceFromPropmat()
 ws.ray_path_spectral_radiance_scatteringSunsFirstOrderRayleigh()
 ws.ray_path_spectral_radiance_sourceAddScattering()
 ws.transmission_matrix_backgroundFromPathPropagationBack()
 ws.spectral_radianceStepByStepEmission()
 ws.spectral_radiance_jacobianFromBackground()
 ws.spectral_radiance_jacobianAddPathPropagation()

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [IN]
propagation_matrix_scattering_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_scattering_agenda, defaults to self.propagation_matrix_scattering_agenda [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
ray_path_suns_path (ArrayOfArrayOfArrayOfPropagationPathPoint, optional) – A list of paths to the suns from the ray path. See ray_path_suns_path, defaults to self.ray_path_suns_path [IN]
spectral_radiance_space_agenda (Agenda, optional) – Spectral radiance as seen of space. See spectral_radiance_space_agenda, defaults to self.spectral_radiance_space_agenda [IN]
spectral_radiance_surface_agenda (Agenda, optional) – Spectral radiance as seen of the surface. See spectral_radiance_surface_agenda, defaults to self.spectral_radiance_surface_agenda [IN]
suns (ArrayOfSun, optional) – A list of Sun. See suns, defaults to self.suns [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
hse_derivative (Index, optional) – , optionalFlag to compute the hypsometric distance derivatives. [IN]
depolarization_factor (Numeric, optional) – , optionalThe depolarization factor to use. [IN]

spectral_radianceClearskyTransmission(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, propagation_matrix_agenda: pyarts.arts.Agenda | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, spectral_radiance_space_agenda: pyarts.arts.Agenda | None = None, spectral_radiance_surface_agenda: pyarts.arts.Agenda | None = None, surface_field: pyarts.arts.SurfaceField | None = None, hse_derivative: pyarts.arts.Index | None = None) → None

Computes clearsky transmission of spectral radiances

Wrapper calling Methods (in order):

ray_path_pointBackground()

spectral_radiance_backgroundAgendasAtEndOfPath()

ray_path_atmospheric_pointFromPath()

ray_path_frequency_gridFromPath()

ray_path_propagation_matrixFromPath()

ray_path_transmission_matrixFromPath()

ray_path_transmission_matrix_cumulativeFromPath()

transmission_matrix_backgroundFromPathPropagationBack()

spectral_radianceCumulativeTransmission()

spectral_radiance_jacobianFromBackground()

spectral_radiance_jacobianAddPathPropagation()

Equivalent (mostly) Python code:

ws = pyarts.Workspace()

# ...

 ws.ray_path_pointBackground()
 ws.spectral_radiance_backgroundAgendasAtEndOfPath()
 ws.ray_path_atmospheric_pointFromPath()
 ws.ray_path_frequency_gridFromPath()
 ws.ray_path_propagation_matrixFromPath()
 ws.ray_path_transmission_matrixFromPath()
 ws.ray_path_transmission_matrix_cumulativeFromPath()
 ws.transmission_matrix_backgroundFromPathPropagationBack()
 ws.spectral_radianceCumulativeTransmission()
 ws.spectral_radiance_jacobianFromBackground()
 ws.spectral_radiance_jacobianAddPathPropagation()

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
propagation_matrix_agenda (Agenda, optional) – Compute the propagation matrix, the non-LTE source vector, and their derivatives. See propagation_matrix_agenda, defaults to self.propagation_matrix_agenda [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]
spectral_radiance_space_agenda (Agenda, optional) – Spectral radiance as seen of space. See spectral_radiance_space_agenda, defaults to self.spectral_radiance_space_agenda [IN]
spectral_radiance_surface_agenda (Agenda, optional) – Spectral radiance as seen of the surface. See spectral_radiance_surface_agenda, defaults to self.spectral_radiance_surface_agenda [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
hse_derivative (Index, optional) – , optionalFlag to compute the hypsometric distance derivatives. [IN]

spectral_radianceCumulativeEmission(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, ray_path_spectral_radiance_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, ray_path_transmission_matrix: pyarts.arts.ArrayOfMuelmatVector | None = None, ray_path_transmission_matrix_cumulative: pyarts.arts.ArrayOfMuelmatVector | None = None, ray_path_transmission_matrix_jacobian: pyarts.arts.ArrayOfMuelmatTensor3 | None = None, ray_path_spectral_radiance_source: pyarts.arts.ArrayOfStokvecVector | None = None, ray_path_spectral_radiance_source_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, spectral_radiance_background: pyarts.arts.StokvecVector | None = None) → None

Gets the spectral radiance from the path emission.

Also get the Jacobian of the spectral radiance with regards to the path parameters.

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
ray_path_spectral_radiance_jacobian (ArrayOfStokvecMatrix, optional) – Spectral radiance derivative along the propagation path. See ray_path_spectral_radiance_jacobian, defaults to self.ray_path_spectral_radiance_jacobian [OUT]
ray_path_transmission_matrix (ArrayOfMuelmatVector, optional) – Transmission matrices along the propagation path. See ray_path_transmission_matrix, defaults to self.ray_path_transmission_matrix [IN]
ray_path_transmission_matrix_cumulative (ArrayOfMuelmatVector, optional) – Cumulative transmission matrices along the propagation path. See ray_path_transmission_matrix_cumulative, defaults to self.ray_path_transmission_matrix_cumulative [IN]
ray_path_transmission_matrix_jacobian (ArrayOfMuelmatTensor3, optional) – Transmission derivative matrices along the propagation path. See ray_path_transmission_matrix_jacobian, defaults to self.ray_path_transmission_matrix_jacobian [IN]
ray_path_spectral_radiance_source (ArrayOfStokvecVector, optional) – Source vectors along the propagation path. See ray_path_spectral_radiance_source, defaults to self.ray_path_spectral_radiance_source [IN]
ray_path_spectral_radiance_source_jacobian (ArrayOfStokvecMatrix, optional) – Source derivative vectors along the propagation path. See ray_path_spectral_radiance_source_jacobian, defaults to self.ray_path_spectral_radiance_source_jacobian [IN]
spectral_radiance_background (StokvecVector, optional) – Spectral radiance from the background. See spectral_radiance_background, defaults to self.spectral_radiance_background [IN]

spectral_radianceCumulativeTransmission(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, ray_path_spectral_radiance_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, ray_path_transmission_matrix: pyarts.arts.ArrayOfMuelmatVector | None = None, ray_path_transmission_matrix_cumulative: pyarts.arts.ArrayOfMuelmatVector | None = None, ray_path_transmission_matrix_jacobian: pyarts.arts.ArrayOfMuelmatTensor3 | None = None, spectral_radiance_background: pyarts.arts.StokvecVector | None = None) → None

Gets the spectral radiance from the path transmission.

Also get the Jacobian of the spectral radiance with regards to the path parameters.

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
ray_path_spectral_radiance_jacobian (ArrayOfStokvecMatrix, optional) – Spectral radiance derivative along the propagation path. See ray_path_spectral_radiance_jacobian, defaults to self.ray_path_spectral_radiance_jacobian [OUT]
ray_path_transmission_matrix (ArrayOfMuelmatVector, optional) – Transmission matrices along the propagation path. See ray_path_transmission_matrix, defaults to self.ray_path_transmission_matrix [IN]
ray_path_transmission_matrix_cumulative (ArrayOfMuelmatVector, optional) – Cumulative transmission matrices along the propagation path. See ray_path_transmission_matrix_cumulative, defaults to self.ray_path_transmission_matrix_cumulative [IN]
ray_path_transmission_matrix_jacobian (ArrayOfMuelmatTensor3, optional) – Transmission derivative matrices along the propagation path. See ray_path_transmission_matrix_jacobian, defaults to self.ray_path_transmission_matrix_jacobian [IN]
spectral_radiance_background (StokvecVector, optional) – Spectral radiance from the background. See spectral_radiance_background, defaults to self.spectral_radiance_background [IN]

spectral_radianceDefaultTransmission(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets default spectral_radiance and spectral_radiance_jacobian for transmission.

The Jacobian variable is all 0s, the background is [1 0 0 0] everywhere

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

spectral_radianceIntegrateDisort(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, disort_spectral_radiance_field: pyarts.arts.Tensor4 | None = None, disort_quadrature_angles: pyarts.arts.Vector | None = None, disort_quadrature_weights: pyarts.arts.Vector | None = None) → None

Integrate Disort spectral radiance.

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
disort_spectral_radiance_field (Tensor4, optional) – The spectral radiance field from Disort. See disort_spectral_radiance_field, defaults to self.disort_spectral_radiance_field [IN]
disort_quadrature_angles (Vector, optional) – The quadrature angles for Disort. See disort_quadrature_angles, defaults to self.disort_quadrature_angles [IN]
disort_quadrature_weights (Vector, optional) – The quadrature weights for Disort. See disort_quadrature_weights, defaults to self.disort_quadrature_weights [IN]

spectral_radianceStepByStepEmission(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, ray_path_spectral_radiance_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, ray_path_transmission_matrix: pyarts.arts.ArrayOfMuelmatVector | None = None, ray_path_transmission_matrix_cumulative: pyarts.arts.ArrayOfMuelmatVector | None = None, ray_path_transmission_matrix_jacobian: pyarts.arts.ArrayOfMuelmatTensor3 | None = None, ray_path_spectral_radiance_source: pyarts.arts.ArrayOfStokvecVector | None = None, ray_path_spectral_radiance_source_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, spectral_radiance_background: pyarts.arts.StokvecVector | None = None) → None

Gets the spectral radiance from the path.

This uses a step-by-step solver to propagate background radiation along the path.

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
ray_path_spectral_radiance_jacobian (ArrayOfStokvecMatrix, optional) – Spectral radiance derivative along the propagation path. See ray_path_spectral_radiance_jacobian, defaults to self.ray_path_spectral_radiance_jacobian [OUT]
ray_path_transmission_matrix (ArrayOfMuelmatVector, optional) – Transmission matrices along the propagation path. See ray_path_transmission_matrix, defaults to self.ray_path_transmission_matrix [IN]
ray_path_transmission_matrix_cumulative (ArrayOfMuelmatVector, optional) – Cumulative transmission matrices along the propagation path. See ray_path_transmission_matrix_cumulative, defaults to self.ray_path_transmission_matrix_cumulative [IN]
ray_path_transmission_matrix_jacobian (ArrayOfMuelmatTensor3, optional) – Transmission derivative matrices along the propagation path. See ray_path_transmission_matrix_jacobian, defaults to self.ray_path_transmission_matrix_jacobian [IN]
ray_path_spectral_radiance_source (ArrayOfStokvecVector, optional) – Source vectors along the propagation path. See ray_path_spectral_radiance_source, defaults to self.ray_path_spectral_radiance_source [IN]
ray_path_spectral_radiance_source_jacobian (ArrayOfStokvecMatrix, optional) – Source derivative vectors along the propagation path. See ray_path_spectral_radiance_source_jacobian, defaults to self.ray_path_spectral_radiance_source_jacobian [IN]
spectral_radiance_background (StokvecVector, optional) – Spectral radiance from the background. See spectral_radiance_background, defaults to self.spectral_radiance_background [IN]

spectral_radianceSunOrCosmicBackground(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, sun_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, sun: pyarts.arts.Sun | None = None, surface_field: pyarts.arts.SurfaceField | None = None) → None

Get the spectral radiance of a sun or of the cosmic background if the sun is not hit.

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
sun_path (ArrayOfPropagationPathPoint, optional) – A path to a sun if it is visible. See sun_path, defaults to self.sun_path [IN]
sun (Sun, optional) – A sun. See sun, defaults to self.sun [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]

spectral_radianceSunsOrCosmicBackground(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, suns: pyarts.arts.ArrayOfSun | None = None, surface_field: pyarts.arts.SurfaceField | None = None) → None

Get the spectral radiance of a sun or of the cosmic background if no sun is hit.

Note that only the first sun is used if multiple suns are defined, so it is advantageous to have sorted suns by distance before running this code.

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
suns (ArrayOfSun, optional) – A list of Sun. See suns, defaults to self.suns [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]

spectral_radianceSurfaceBlackbody(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, surface_field: pyarts.arts.SurfaceField | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None) → None

Set surface spectral radiance from Planck function of the surface temperature

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]

spectral_radianceUniformCosmicBackground(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None) → None

Background spectral radiance is from a uniform cosmic background temperature.

Author(s): Richard Larsson

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]

spectral_radiance_backgroundAgendasAtEndOfPath(self, spectral_radiance_background: pyarts.arts.StokvecVector | None = None, spectral_radiance_background_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, surface_field: pyarts.arts.SurfaceField | None = None, spectral_radiance_space_agenda: pyarts.arts.Agenda | None = None, spectral_radiance_surface_agenda: pyarts.arts.Agenda | None = None) → None

Computes the background radiation.

Author(s): Richard Larsson

Parameters:

spectral_radiance_background (StokvecVector, optional) – Spectral radiance from the background. See spectral_radiance_background, defaults to self.spectral_radiance_background [OUT]
spectral_radiance_background_jacobian (StokvecMatrix, optional) – Spectral radiance derivative from the background. See spectral_radiance_background_jacobian, defaults to self.spectral_radiance_background_jacobian [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
spectral_radiance_space_agenda (Agenda, optional) – Spectral radiance as seen of space. See spectral_radiance_space_agenda, defaults to self.spectral_radiance_space_agenda [IN]
spectral_radiance_surface_agenda (Agenda, optional) – Spectral radiance as seen of the surface. See spectral_radiance_surface_agenda, defaults to self.spectral_radiance_surface_agenda [IN]

spectral_radiance_fieldFromOperatorPath(self, spectral_radiance_field: pyarts.arts.StokvecGriddedField6 | None = None, spectral_radiance_operator: pyarts.arts.SpectralRadianceOperator | None = None, ray_path_observer_agenda: pyarts.arts.Agenda | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, zenith_grid: pyarts.arts.AscendingGrid | None = None, azimuth_grid: pyarts.arts.AscendingGrid | None = None) → None

Computes the spectral radiance field using ray_path_observer_agenda.

Each point is in computed individually, so there will be zenith x azimuth x altitude x latitude x longitude x frequency number of calculations. The positional arguments are taken from spectral_radiance_operator.

If the code is not already in parallel operation mode when this method is called, the first 5 dimensions are computed in parallel.

Author(s): Richard Larsson

Parameters:

spectral_radiance_field (StokvecGriddedField6) – The spectral radiance field. Defaults to create and/or use self.spectral_radiance_field : StokvecGriddedField6. [OUT]
spectral_radiance_operator (SpectralRadianceOperator, optional) – The spectral radiance operator. See spectral_radiance_operator, defaults to self.spectral_radiance_operator [IN]
ray_path_observer_agenda (Agenda, optional) – Get the propagation path as it is obeserved. See ray_path_observer_agenda, defaults to self.ray_path_observer_agenda [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
zenith_grid (AscendingGrid) – The zenith grid. [IN]
azimuth_grid (AscendingGrid) – The azimuth grid. [IN]

spectral_radiance_fieldFromOperatorPlanarGeometric(self, spectral_radiance_field: pyarts.arts.StokvecGriddedField6 | None = None, spectral_radiance_operator: pyarts.arts.SpectralRadianceOperator | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, zenith_grid: pyarts.arts.AscendingGrid | None = None, azimuth_grid: pyarts.arts.AscendingGrid | None = None) → None

Computes the spectral radiance field assuming planar geometric paths

A planar geometric path is just defined by a 1D atmospheric profile. If the spectral_radiance_operator contains more than one latitude and/or longitude point, their altitude profiles are treated independently.

Limitations:

The zenith grid is not allowed to contain the value 90 degrees.

Author(s): Richard Larsson

Parameters:

spectral_radiance_field (StokvecGriddedField6) – The spectral radiance field. Defaults to create and/or use self.spectral_radiance_field : StokvecGriddedField6. [OUT]
spectral_radiance_operator (SpectralRadianceOperator, optional) – The spectral radiance operator. See spectral_radiance_operator, defaults to self.spectral_radiance_operator [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
zenith_grid (AscendingGrid) – The zenith grid. [IN]
azimuth_grid (AscendingGrid) – The azimuth grid. [IN]

spectral_radiance_jacobianAddPathPropagation(self, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, ray_path_spectral_radiance_jacobian: pyarts.arts.ArrayOfStokvecMatrix | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None) → None

Adds the propagation variables to spectral_radiance_jacobian

Author(s): Richard Larsson

Parameters:

spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [INOUT]
ray_path_spectral_radiance_jacobian (ArrayOfStokvecMatrix, optional) – Spectral radiance derivative along the propagation path. See ray_path_spectral_radiance_jacobian, defaults to self.ray_path_spectral_radiance_jacobian [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [IN]

spectral_radiance_jacobianAddSensorJacobianPerturbations(self, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, spectral_radiance: pyarts.arts.StokvecVector | None = None, measurement_sensor: pyarts.arts.ArrayOfSensorObsel | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, spectral_radiance_observer_position: pyarts.arts.Vector3 | None = None, spectral_radiance_observer_line_of_sight: pyarts.arts.Vector2 | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, spectral_radiance_observer_agenda: pyarts.arts.Agenda | None = None) → None

Adds sensor properties to the spectral_radiance_jacobian.

This is done via perturbation based on the input delta values to the sensor Jacobian targets and a callback to spectral_radiance_observer_agenda with a modified jacobian_targets, making it safe to use this method inside spectral_radiance_observer_agenda.

Author(s): Richard Larsson

Parameters:

spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [INOUT]
spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [IN]
measurement_sensor (ArrayOfSensorObsel, optional) – A list of sensor elements. See measurement_sensor, defaults to self.measurement_sensor [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
spectral_radiance_observer_position (Vector3, optional) – The position of an observer of spectral radiance. See spectral_radiance_observer_position, defaults to self.spectral_radiance_observer_position [IN]
spectral_radiance_observer_line_of_sight (Vector2, optional) – The position of the observer of spectral radiance. See spectral_radiance_observer_line_of_sight, defaults to self.spectral_radiance_observer_line_of_sight [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
spectral_radiance_observer_agenda (Agenda, optional) – Spectral radiance as seen from the input position and environment. See spectral_radiance_observer_agenda, defaults to self.spectral_radiance_observer_agenda [IN]

spectral_radiance_jacobianApplyUnit(self, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, spectral_radiance: pyarts.arts.StokvecVector | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, spectral_radiance_unit: pyarts.arts.SpectralRadianceUnitType | None = None) → None

Applies a unit to spectral_radiance, returning a new field

Also be aware that spectral_radiance_jacobianApplyUnit() must be called before spectral_radianceApplyUnit().

Warning

This is a destructive method. Any use of it means that it is undefined behavior to use spectral_radiance or spectral_radiance_jacobian in future methods.

Author(s): Richard Larsson

Parameters:

spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [INOUT]
spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [IN]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
spectral_radiance_unit (SpectralRadianceUnitType, optional) – The spectral radiance unit after conversion. See spectral_radiance_unit, defaults to self.spectral_radiance_unit [IN]

spectral_radiance_jacobianEmpty(self, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Set the cosmic background radiation derivative to empty.

Size : (jacobian_targets, frequency_grid)

Author(s): Richard Larsson

Parameters:

spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

spectral_radiance_jacobianFromBackground(self, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, spectral_radiance_background_jacobian: pyarts.arts.StokvecMatrix | None = None, transmission_matrix_background: pyarts.arts.MuelmatVector | None = None) → None

Sets spectral_radiance_jacobian from the background values

Author(s): Richard Larsson

Parameters:

spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
spectral_radiance_background_jacobian (StokvecMatrix, optional) – Spectral radiance derivative from the background. See spectral_radiance_background_jacobian, defaults to self.spectral_radiance_background_jacobian [IN]
transmission_matrix_background (MuelmatVector, optional) – Transmittance from the background. See transmission_matrix_background, defaults to self.transmission_matrix_background [IN]

spectral_radiance_observer_agendaExecute(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, ray_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, spectral_radiance_observer_position: pyarts.arts.Vector3 | None = None, spectral_radiance_observer_line_of_sight: pyarts.arts.Vector2 | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, spectral_radiance_observer_agenda: pyarts.arts.Agenda | None = None) → None

Executes spectral_radiance_observer_agenda, see it for more details

Author(s): Automatically Generated

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
ray_path (ArrayOfPropagationPathPoint, optional) – A list path points making up a propagation path. See ray_path, defaults to self.ray_path [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
spectral_radiance_observer_position (Vector3, optional) – The position of an observer of spectral radiance. See spectral_radiance_observer_position, defaults to self.spectral_radiance_observer_position [IN]
spectral_radiance_observer_line_of_sight (Vector2, optional) – The position of the observer of spectral radiance. See spectral_radiance_observer_line_of_sight, defaults to self.spectral_radiance_observer_line_of_sight [IN]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
spectral_radiance_observer_agenda (Agenda, optional) – Spectral radiance as seen from the input position and environment. See spectral_radiance_observer_agenda, defaults to self.spectral_radiance_observer_agenda [IN]

spectral_radiance_observer_agendaSet(self, spectral_radiance_observer_agenda: pyarts.arts.Agenda | None = None, option: pyarts.arts.String | None = None) → None

Sets spectral_radiance_space_agenda

See spectral_radiance_space_agendaPredefined for valid option

Author(s): Richard Larsson

Parameters:

spectral_radiance_observer_agenda (Agenda, optional) – Spectral radiance as seen from the input position and environment. See spectral_radiance_observer_agenda, defaults to self.spectral_radiance_observer_agenda [OUT]
option (String) – Default agenda option (see description). [IN]

spectral_radiance_operatorClearsky1D(self, spectral_radiance_operator: pyarts.arts.SpectralRadianceOperator | None = None, atmospheric_field: pyarts.arts.AtmField | None = None, surface_field: pyarts.arts.SurfaceField | None = None, altitude_grid: pyarts.arts.AscendingGrid | None = None, latitude: pyarts.arts.Numeric | None = None, longitude: pyarts.arts.Numeric | None = None, cia_extrapolation: pyarts.arts.Numeric | None = None, cia_robust: pyarts.arts.Index | None = None) → None

Set up a 1D spectral radiance operator

The operator is set up to compute the spectral radiance at any point as seen from a 1D atmospheric profile.

This method will share line-by-line,cross-section, collision-induced absorption, and predefined model data with the workspace (if they exist already when this method is called).

Author(s): Richard Larsson

Parameters:

spectral_radiance_operator (SpectralRadianceOperator, optional) – The spectral radiance operator. See spectral_radiance_operator, defaults to self.spectral_radiance_operator [OUT]
atmospheric_field (AtmField, optional) – An atmospheric field in ARTS. See atmospheric_field, defaults to self.atmospheric_field [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
altitude_grid (AscendingGrid) – The altitude grid. [IN]
latitude (Numeric, optional) – , optionalThe latitude. [IN]
longitude (Numeric, optional) – , optionalThe longitude. [IN]
cia_extrapolation (Numeric, optional) – , optionalThe extrapolation distance for cia. [IN]
cia_robust (Index, optional) – , optionalThe robustness of the cia extrapolation. [IN]

spectral_radiance_space_agendaExecute(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, spectral_radiance_space_agenda: pyarts.arts.Agenda | None = None) → None

Executes spectral_radiance_space_agenda, see it for more details

Author(s): Automatically Generated

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
spectral_radiance_space_agenda (Agenda, optional) – Spectral radiance as seen of space. See spectral_radiance_space_agenda, defaults to self.spectral_radiance_space_agenda [IN]

spectral_radiance_space_agendaSet(self, spectral_radiance_space_agenda: pyarts.arts.Agenda | None = None, option: pyarts.arts.String | None = None) → None

Sets spectral_radiance_space_agenda

See spectral_radiance_space_agendaPredefined for valid option

Author(s): Richard Larsson

Parameters:

spectral_radiance_space_agenda (Agenda, optional) – Spectral radiance as seen of space. See spectral_radiance_space_agenda, defaults to self.spectral_radiance_space_agenda [OUT]
option (String) – Default agenda option (see description). [IN]

spectral_radiance_surface_agendaExecute(self, spectral_radiance: pyarts.arts.StokvecVector | None = None, spectral_radiance_jacobian: pyarts.arts.StokvecMatrix | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None, ray_path_point: pyarts.arts.PropagationPathPoint | None = None, surface_field: pyarts.arts.SurfaceField | None = None, spectral_radiance_surface_agenda: pyarts.arts.Agenda | None = None) → None

Executes spectral_radiance_surface_agenda, see it for more details

Author(s): Automatically Generated

Parameters:

spectral_radiance (StokvecVector, optional) – A spectral radiance vector. See spectral_radiance, defaults to self.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix, optional) – Jacobian of spectral_radiance with respect to jacobian_targets. See spectral_radiance_jacobian, defaults to self.spectral_radiance_jacobian [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]
ray_path_point (PropagationPathPoint, optional) – A single path point. See ray_path_point, defaults to self.ray_path_point [IN]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
spectral_radiance_surface_agenda (Agenda, optional) – Spectral radiance as seen of the surface. See spectral_radiance_surface_agenda, defaults to self.spectral_radiance_surface_agenda [IN]

spectral_radiance_surface_agendaSet(self, spectral_radiance_surface_agenda: pyarts.arts.Agenda | None = None, option: pyarts.arts.String | None = None) → None

Sets spectral_radiance_surface_agenda

See spectral_radiance_surface_agendaPredefined for valid option

Author(s): Richard Larsson

Parameters:

spectral_radiance_surface_agenda (Agenda, optional) – Spectral radiance as seen of the surface. See spectral_radiance_surface_agenda, defaults to self.spectral_radiance_surface_agenda [OUT]
option (String) – Default agenda option (see description). [IN]

sunBlackbody(self, sun: pyarts.arts.Sun | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, radius: pyarts.arts.Numeric | None = None, distance: pyarts.arts.Numeric | None = None, temperature: pyarts.arts.Numeric | None = None, latitude: pyarts.arts.Numeric | None = None, longitude: pyarts.arts.Numeric | None = None) → None

Set sun to blackbody.

Note

For a Sol-like sun there are huge differences in the UV-range between the actual sun spectrum and the blackbody spectrum with the effective temperature of the sun. The blackbody sun strongly overestimates the UV radiation.

Author(s): Jon Petersen, Richard Larsson

Parameters:

sun (Sun, optional) – A sun. See sun, defaults to self.sun [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
radius (Numeric, optional) – , optionalThe radius of the sun in meter. Default is the radius of our sun. . [IN]
distance (Numeric, optional) – , optionalThe average distance between the sun and the planet in meter. Default value is set to 1 a.u. . [IN]
temperature (Numeric, optional) – , optionalThe effective temperature of the suns photosphere in Kelvin. Default is the temperature of our sun - 5772 Kelvin . [IN]
latitude (Numeric, optional) – , optionalThe latitude or the zenith position of the sun in the sky. . [IN]
longitude (Numeric, optional) – , optionalThe longitude or azimuthal position of the sun in the sky. . [IN]

sunFromGrid(self, sun: pyarts.arts.Sun | None = None, frequency_grid: pyarts.arts.AscendingGrid | None = None, sun_spectrum_raw: pyarts.arts.GriddedField2 | None = None, radius: pyarts.arts.Numeric | None = None, distance: pyarts.arts.Numeric | None = None, temperature: pyarts.arts.Numeric | None = None, latitude: pyarts.arts.Numeric | None = None, longitude: pyarts.arts.Numeric | None = None, description: pyarts.arts.String | None = None) → None

Extracts a sun spectrum from a field of such data.

The method allows to obtain the sun spectrum by interpolation from a field of such data. The sun spectrum is expected to be stored as the irradiance at the suns photosphere.

Unit:

GriddedField2: [W m-2 Hz-1]
Vector frequency_grid [Hz]
Vector stokes_dim [1]

Dimensions: [frequency_grid, stokes_dim]

This method performs an interpolation onto the frequency_grid. The point of frequency_grid that are outside the data frequency grid are initialized according to planck’s law of the temperature variable. Hence, a temperature of 0 means 0s the edges of the frequency_grid.

Author(s): Jon Petersen, Richard Larsson

Parameters:

sun (Sun, optional) – A sun. See sun, defaults to self.sun [OUT]
frequency_grid (AscendingGrid, optional) – A single path point’s frequency grid. See frequency_grid, defaults to self.frequency_grid [IN]
sun_spectrum_raw (GriddedField2) – A raw spectrum. [IN]
radius (Numeric, optional) – , optionalThe radius of the sun in meter. Default is the radius of our sun. . [IN]
distance (Numeric, optional) – , optionalThe average distance between the sun and the planet in meter. Default value is set to 1 a.u. . [IN]
temperature (Numeric, optional) – , optionalThe effective temperature of the suns photosphere in Kelvin. Default is the temperature of our sun - 5772 Kelvin . [IN]
latitude (Numeric, optional) – , optionalThe latitude or the zenith position of the sun in the sky. . [IN]
longitude (Numeric, optional) – , optionalThe longitude or azimuthal position of the sun in the sky. . [IN]
description (String, optional) – , optionalA description of the sun. [IN]

sun_pathFromObserverAgenda(self, sun_path: pyarts.arts.ArrayOfPropagationPathPoint | None = None, surface_field: pyarts.arts.SurfaceField | None = None, ray_path_observer_agenda: pyarts.arts.Agenda | None = None, sun: pyarts.arts.Sun | None = None, pos: pyarts.arts.Vector3 | None = None, angle_cut: pyarts.arts.Numeric | None = None, refinement: pyarts.arts.Index | None = None, just_hit: pyarts.arts.Index | None = None) → None

Find a path that hits the sun if possible

The algorithm finds the pair of angles with the least error in regards to angular zenith and azimuth offset from the sun. It uses this pair of angles to compute said path. The algorithm is iterative. It first finds the geometric pair of angles pointing at the sun. It then computes the path, using the space-facing path point’s pointing offset relative to the sun to change the angles in the four directions (up, left, right, down) until it finds a better solution. If no better solution is found, the algorithm it refines the angular search to half for every level of refinement above 1, it then stops.

Note that special care is taken to eliminate surface intersections so that part of the sun may still be hit if it is above the horizon. If the sun is entirerly below the horizon, the path will point close to the horizon.

The two control parameters are the angle_cut and just_hit. The angle_cut is the limit in degrees to which the algorithm should search for a better solution. The just_hit is a flag that just returns the first time a path hits the sun.

Author(s): Richard Larsson

Parameters:

sun_path (ArrayOfPropagationPathPoint, optional) – A path to a sun if it is visible. See sun_path, defaults to self.sun_path [OUT]
surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [IN]
ray_path_observer_agenda (Agenda, optional) – Get the propagation path as it is obeserved. See ray_path_observer_agenda, defaults to self.ray_path_observer_agenda [IN]
sun (Sun, optional) – A sun. See sun, defaults to self.sun [IN]
pos (Vector3) – An observer position [alt, lat, lon]. [IN]
angle_cut (Numeric, optional) – , optionalThe angle delta-cutoff in the iterative solver [0.0, …]. [IN]
refinement (Index, optional) – , optionalThe refinement of the search algorithm (twice the power of this is the resultion). [IN]
just_hit (Index, optional) – , optionalWhether or not it is enough to just hit the sun or if better accuracy is needed. [IN]

sunsAddSun(self, suns: pyarts.arts.ArrayOfSun | None = None, sun: pyarts.arts.Sun | None = None) → None

Add sun to suns, only exist for composability.

Author(s): Richard Larsson

Parameters:

suns (ArrayOfSun, optional) – A list of Sun. See suns, defaults to self.suns [INOUT]
sun (Sun, optional) – A sun. See sun, defaults to self.sun [IN]

surface_fieldEarth(self, surface_field: pyarts.arts.SurfaceField | None = None, model: pyarts.arts.String | None = None) → None

Earth reference ellipsoids.

The reference ellipsoid is set to model the Earth.

See EarthEllipsoid for valid model

Author(s): Patrick Eriksson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
model (String, optional) – , optionalModel ellipsoid to use. Options listed above. [IN]

surface_fieldEuropa(self, surface_field: pyarts.arts.SurfaceField | None = None, model: pyarts.arts.String | None = None) → None

Europa reference ellipsoids.

The reference ellipsoid is set to model the Europa.

See EuropaEllipsoid for valid model.

Author(s): Richard Larsson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
model (String, optional) – , optionalModel ellipsoid to use. Options listed above. [IN]

surface_fieldFromModelState(self, surface_field: pyarts.arts.SurfaceField | None = None, model_state_vector: pyarts.arts.Vector | None = None, jacobian_targets: pyarts.arts.JacobianTargets | None = None) → None

Sets surface_field to the state of the model.

Author(s): Richard Larsson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [INOUT]
model_state_vector (Vector, optional) – A state vector of the model. See model_state_vector, defaults to self.model_state_vector [IN]
jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [IN]

surface_fieldGanymede(self, surface_field: pyarts.arts.SurfaceField | None = None, model: pyarts.arts.String | None = None) → None

Ganymede reference ellipsoids.

See GanymedeEllipsoid for valid model.

Author(s): Takayoshi Yamada

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
model (String, optional) – , optionalModel ellipsoid to use. Options listed above. [IN]

surface_fieldInit(self, surface_field: pyarts.arts.SurfaceField | None = None, a: pyarts.arts.Numeric | None = None, b: pyarts.arts.Numeric | None = None) → None

Manual setting of the reference ellipsoid.

The two values of the reference ellipsoid are set manually. The two arguments correspond directly to first and second element of reference ellipsoid.

Author(s): Patrick Eriksson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
a (Numeric) – Average or equatorial radius. [IN]
b (Numeric) – Average or polar radius. [IN]

surface_fieldIo(self, surface_field: pyarts.arts.SurfaceField | None = None, model: pyarts.arts.String | None = None) → None

Io reference ellipsoids.

The reference ellipsoid is set to model the Io.

See IoEllipsoid for valid model.

Author(s): Richard Larsson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
model (String, optional) – , optionalModel ellipsoid to use. Options listed above. [IN]

surface_fieldJupiter(self, surface_field: pyarts.arts.SurfaceField | None = None, model: pyarts.arts.String | None = None) → None

Jupiter reference ellipsoids.

The reference ellipsoid is set to model the Jupiter.

See JupiterEllipsoid for valid model.

Author(s): Patrick Eriksson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
model (String, optional) – , optionalModel ellipsoid to use. Options listed above. [IN]

surface_fieldMars(self, surface_field: pyarts.arts.SurfaceField | None = None, model: pyarts.arts.String | None = None) → None

Mars reference ellipsoids.

The reference ellipsoid is set to model the Mars.

See MarsEllipsoid for valid model.

Author(s): Patrick Eriksson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
model (String, optional) – , optionalModel ellipsoid to use. Options listed above. [IN]

surface_fieldMoon(self, surface_field: pyarts.arts.SurfaceField | None = None, model: pyarts.arts.String | None = None) → None

Moon reference ellipsoids.

The reference ellipsoid is set to model the Moon.

See MoonEllipsoid for valid model.

Author(s): Patrick Eriksson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
model (String, optional) – , optionalModel ellipsoid to use. Options listed above. [IN]

surface_fieldSetPlanetEllipsoid(self, surface_field: pyarts.arts.SurfaceField | None = None, option: pyarts.arts.String | None = None) → None

Sets the planet base surface field

See PlanetOrMoonType for valid option.

Author(s): Richard Larsson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
option (String) – Choice of planet or moon. [IN]

surface_fieldVenus(self, surface_field: pyarts.arts.SurfaceField | None = None, model: pyarts.arts.String | None = None) → None

Venus reference ellipsoids.

The reference ellipsoid is set to model the Venus.

See VenusEllipsoid for valid model.

Author(s): Patrick Eriksson

Parameters:

surface_field (SurfaceField, optional) – The surface field describes the surface properties. See surface_field, defaults to self.surface_field [OUT]
model (String, optional) – , optionalModel ellipsoid to use. Options listed above. [IN]

swap(self, other: pyarts.arts.CxxWorkspace) → None: Swap the workspace for andother.

transmission_matrix_backgroundFromPathPropagationBack(self, transmission_matrix_background: pyarts.arts.MuelmatVector | None = None, ray_path_transmission_matrix_cumulative: pyarts.arts.ArrayOfMuelmatVector | None = None) → None

Sets transmission_matrix_background to back of ray_path_transmission_matrix_cumulative

Author(s): Richard Larsson

Parameters:

transmission_matrix_background (MuelmatVector, optional) – Transmittance from the background. See transmission_matrix_background, defaults to self.transmission_matrix_background [OUT]
ray_path_transmission_matrix_cumulative (ArrayOfMuelmatVector, optional) – Cumulative transmission matrices along the propagation path. See ray_path_transmission_matrix_cumulative, defaults to self.ray_path_transmission_matrix_cumulative [IN]

transmission_matrix_backgroundFromPathPropagationFront(self, transmission_matrix_background: pyarts.arts.MuelmatVector | None = None, ray_path_transmission_matrix_cumulative: pyarts.arts.ArrayOfMuelmatVector | None = None) → None

Sets transmission_matrix_background to front of ray_path_transmission_matrix_cumulative

Author(s): Richard Larsson

Parameters:

transmission_matrix_background (MuelmatVector, optional) – Transmittance from the background. See transmission_matrix_background, defaults to self.transmission_matrix_background [OUT]
ray_path_transmission_matrix_cumulative (ArrayOfMuelmatVector, optional) – Cumulative transmission matrices along the propagation path. See ray_path_transmission_matrix_cumulative, defaults to self.ray_path_transmission_matrix_cumulative [IN]

water_equivalent_pressure_operatorMK05(self, water_equivalent_pressure_operator: pyarts.arts.NumericUnaryOperator | None = None, only_liquid: pyarts.arts.Index | None = None) → None

Calculate equivalent water pressure according to Murphy and Koop, 2005

Default is setting the saturation pressure to the one with respect to water at temperatures >= 0C, and to the one with respect to ice for <0C. The GIN only_liquid allows you to apply the liquid value at all temperatures.

The saturation pressure with respect to liquid and ice water is calculated according to Eq. 10 and 7, respectively, of: Murphy, D. M., & Koop, T. (2005). Review of the vapour pressures of ice and supercooled water for atmospheric applications. Quarterly Journal of the Royal Meteorological Society, 131(608), 1539-1565.

Author(s): Patrick Eriksson, Richard Larsson

Parameters:

water_equivalent_pressure_operator (NumericUnaryOperator) – The water equivalent pressure operator. Defaults to create and/or use self.water_equivalent_pressure_operator : NumericUnaryOperator. [OUT]
only_liquid (Index, optional) – , optionalSet to 1 to use liquid saturation pressure at all temperatures. [IN]

Attributes

absorption_bands

AbsorptionBands Bands of absorption lines for LBL calculations.

Input to workspace methods

Modified by workspace methods

Output from workspace methods

Related workspace variables

absorption_cia_data

ArrayOfCIARecord HITRAN Collision Induced Absorption (CIA) Data.

This variable holds HITRAN CIA data (binary absorption cross-sections). The data itself is described in: Richard, C. et al. (2012), New section of the HITRAN database: Collision-induced absorption (CIA), J. Quant. Spectrosc. Radiat. Transfer, 113, 1276-1285, doi:10.1016/j.jqsrt.2011.11.004.

The binary absorption cross-sections have to be multiplied with the densities of both molecules to get absorption coefficients.

Dimensions:

The outer array dimension in the ArrayOfArrayOfCIARecord is the same as that of absorption_species. There will be CIA data only for those species that contain a CIA tag, for all other species it will be empty. The inner array dimension corresponds to the number of CIA tags for this species (there could be for example both N2-N2 and N2-H2) in the same species.

The CIA absorption_species tags are described in absorption_speciesSet().

Each individual CIARecord holds the complete information from one HITRAN CIA file. For the given pair of molecules A HITRAN CIA data file can hold several datasets (data for different temperatures but fixed frequency range).

Units:

Frequencies: Hz

Binary absorption cross-sections: m^5*molecule^-2

Input to workspace methods

Modified by workspace methods

absorption_cia_dataAddCIARecord()

Output from workspace methods

Related workspace variables

absorption_lookup_table

AbsorptionLookupTables Absorption lookup table for scalar gas absorption coefficients.

Precomputing this table replaces the need for the calculation of scalar gas line-by-line absorption.

Input to workspace methods

propagation_matrixAddLookup()

Modified by workspace methods

Output from workspace methods

Related workspace variables

absorption_predefined_model_data

PredefinedModelData This contains predefined model data.

Can currently only contain data for new MT CKD models of water.

Input to workspace methods

Modified by workspace methods

absorption_predefined_model_dataAddWaterMTCKD400()

Output from workspace methods

Related workspace variables

absorption_species

ArrayOfArrayOfSpeciesTag Tag groups for gas absorption.

This is an array of arrays of SpeciesTag tag definitions. It defines the available tag groups for the calculation of scalar gas absorption coefficients. See online documentation of method absorption_speciesSet() for more detailed information how tag groups work and some examples.

Input to workspace methods

Output from workspace methods

Related workspace variables

absorption_xsec_fit_data

ArrayOfXsecRecord Fitting model coefficients for cross section species.

Dimensions: [ n_species ]

XsecRecord:

species: Name of species
version: Fit model version
fitcoeffs:
- Fit model coefficients as an ArrayOfGriddedField2
- Dimensions: [ n_bands ]
- GriddedField2: [ n_band_frequencies, n_coeffs ]
The fit model:

z = p00 + p10*x + p01*y + p20*x^2

z = Xsec [m^2]

x = T / T0

y = P / P0

T0 = 1 [K]

P0 = 1 [Pa]

fitcoeffs(:, 0) p00 [m^2]

fitcoeffs(:, 1) p10 [m^2]

fitcoeffs(:, 2) p01 [m^2]

fitcoeffs(:, 3) p20 [m^2]
fitminpressures:
- Minimum pressure available in source xsec data to generate the fit coefficients.
- Dimensions: [ n_bands ]
fitmaxpressures:
- Maximum pressure available in source xsec data to generate the fit coefficients.
- Dimensions: [ n_bands ]
fitmintemperatures:
- Minimum temperature available in source xsec data to generate the fit coefficients.
- Dimensions: [ n_bands ]
fitmintemperatures:
- Maximum temperature available in source xsec data to generate the fit coefficients.
- Dimensions: [ n_bands ]

fitminpressures, fitmaxpressures, fitmintemperatures and fitmaxtemperatures are not used to apply the model and solely serve for informational purposes.

Input to workspace methods

Output from workspace methods

Related workspace variables

atmospheric_field

AtmField An atmospheric field in ARTS.

The atmospheric field defines the altitude of the top-of-the-atmosphere, as well as the variables that are required for the radiative transfer calculations along a path through the atmosphere. The field can be accessed at any altitude, latitude, longitude path that is within the atmosphere to access the relevant atmospheric point data (atmospheric_point).

Note that constraints on the various field parameters may be imposed by extrapolation limitations on the field parameter itself, causing some or large swaths of the atmosphere to be inaccessible.

The atmospheric field may, but does not have to, consist of the following:

Temperature - Kelvin

Pressure - Pascal

Wind - Meters per second

Magnetic Field - Tesla

Species content - See user guide for relevant species

Isotopologue ratios - Unitless

Non-local thermodynamics ratios - Unitless [pure-style] OR Kelvin [vibrational-style]

Scattering species content - See user guide for relevant species

Input to workspace methods

Modified by workspace methods

Output from workspace methods

atmospheric_point

AtmPoint An atmospheric point in ARTS.

The atmospheric point consists of all the relevant atmospheric field data at a discrete point in the atmosphere. It is often extracted from an AtmField at a single altitude-latitude-longitude but may of course be generated manually.

See atmospheric_field for the data that may be available in the atmospheric point.

Input to workspace methods

Output from workspace methods

atmospheric_pointInit()

Related workspace variables

ray_path_atmospheric_point

covariance_matrix_diagonal_blocks

JacobianTargetsDiagonalCovarianceMatrixMap A helper map for setting the covariance matrix.

Input to workspace methods

RetrievalFinalizeDiagonal()

Modified by workspace methods

Output from workspace methods

RetrievalInit()

disort_fourier_mode_dimension

Index The number of Fourier modes for Disort.

Related workspace variables

disort_legendre_polynomial_dimension

Index The number of input Legendre polynimials for Disort.

Related workspace variables

disort_quadrature_angles

Vector The quadrature angles for Disort.

Unit is in degrees.

Size is disort_quadrature_dimension.

Input to workspace methods

spectral_radianceIntegrateDisort()

Output from workspace methods

Related workspace variables

disort_quadrature_dimension

Index The quadrature size for Disort.

Related workspace variables

disort_quadrature_weights

Vector The quadrature weights for Disort.

These weights are symmetric for uplooking and downlooking.

In essence, the matching disort_quadrature_angles for the weights can be found as [disort_quadrature_weights, disort_quadrature_weights].

Size is disort_quadrature_dimension / 2

Input to workspace methods

spectral_radianceIntegrateDisort()

Output from workspace methods

Related workspace variables

disort_settings

DisortSettings Contains the full settings of spectral Disort calculations.

Input to workspace methods

Modified by workspace methods

Output from workspace methods

Output from workspace agendas

disort_settings_agenda

Related workspace variables

disort_settings_agenda

Agenda An agenda for setting up Disort.

The only intent of this Agenda is to simplify the setup of Disort for different scenarios. The output of this Agenda is just that setting.

Parameters:

disort_settings (DisortSettings) – Contains the full settings of spectral Disort calculations. See :attr: ~pyarts.workspace.Workspace.disort_settings [OUT]
frequency_grid (AscendingGrid) – A single path point’s frequency grid. See :attr: ~pyarts.workspace.Workspace.frequency_grid [IN]
ray_path (ArrayOfPropagationPathPoint) – A list path points making up a propagation path. See :attr: ~pyarts.workspace.Workspace.ray_path [IN]
disort_quadrature_dimension (Index) – The quadrature size for Disort. See :attr: ~pyarts.workspace.Workspace.disort_quadrature_dimension [IN]
disort_fourier_mode_dimension (Index) – The number of Fourier modes for Disort. See :attr: ~pyarts.workspace.Workspace.disort_fourier_mode_dimension [IN]
disort_legendre_polynomial_dimension (Index) – The number of input Legendre polynimials for Disort. See :attr: ~pyarts.workspace.Workspace.disort_legendre_polynomial_dimension [IN]

Input to workspace methods

Output from workspace methods

disort_settings_agendaSet()

Related workspace variables

disort_spectral_flux_field

Tensor3 The spectral flux field from Disort.

Size is frequency_grid times 3 times ray_path - 1.

The inner “3” is in order: upwelling, diffuse downwelling, and direct downwelling.

Input to workspace methods

SpectralFluxDisort()

Output from workspace methods

Related workspace variables

disort_spectral_radiance_field

Tensor4 The spectral radiance field from Disort.

Size is frequency_grid times ray_path - 1 times azimuthal angles times disort_quadrature_dimension.

Input to workspace methods

spectral_radianceIntegrateDisort()

Output from workspace methods

Related workspace variables

ecs_data

LinemixingEcsData Error corrected sudden data

Dimensions: [num Isotopologues] [num Species]

Used in line-by-line calculations requiring ECS data.

Default value

pyarts.arts.LinemixingEcsData()

Input to workspace methods

Modified by workspace methods

Output from workspace methods

ecs_dataInit()

frequency_grid

AscendingGrid A single path point’s frequency grid.

Input to workspace methods

Modified by workspace methods

frequency_gridWindShift()

Related workspace variables

frequency_grid_wind_shift_jacobian

Vector3 The frequency grid wind shift Jacobian.

Used because all methods inside propagation_matrix_agenda work on the frequency grid, not on the actual wind speed for the sake of wind shift Jacobian calculations.

The order is [df_du, df_dv, df_fw]

Default value

0 0 0

Input to workspace methods

Output from workspace methods

frequency_gridWindShift()

Related workspace variables

gravity_operator

NumericTernaryOperator The gravity operator.

Usage: gravity = gravity_operator(altitude, latitude, longitude).

Parameters:

altitude (Numeric) – Altitude in meters.
latitude (Numeric) – Latitude in degrees.
longitude (Numeric) – Longitude in degrees.

Returns:

gravity – The gravity in m/s $^2$.

Return type:

Numeric

Input to workspace methods

atmospheric_fieldHydrostaticPressure()

Output from workspace methods

gravity_operatorCentralMass()

inversion_iterate_agenda

Agenda Work in progress …

The WSV measurement_jacobian is both in- and output. As input variable, measurement_jacobian is assumed to be valid for the previous iteration. For the first iteration the input measurement_jacobian shall be set to have size zero, to flag that there is not yet any calculated Jacobian.

Parameters:

measurement_vector_fitted (Vector) – As measurement_vector, but fitted to the model. See :attr: ~pyarts.workspace.Workspace.measurement_vector_fitted [OUT]
measurement_jacobian (Matrix) – The partial derivatives of the measurement_vector. See :attr: ~pyarts.workspace.Workspace.measurement_jacobian [OUT]
model_state_vector (Vector) – A state vector of the model. See :attr: ~pyarts.workspace.Workspace.model_state_vector [IN]
inversion_iterate_agenda_do_jacobian (Index) – A boolean for if Jacobian calculations should be done. See :attr: ~pyarts.workspace.Workspace.inversion_iterate_agenda_do_jacobian [IN]
inversion_iterate_agenda_counter (Index) – A counter for the inversion iterate agenda. See :attr: ~pyarts.workspace.Workspace.inversion_iterate_agenda_counter [IN]

Related workspace variables

inversion_iterate_agenda_counter

Index A counter for the inversion iterate agenda.

Default value

0

inversion_iterate_agenda_do_jacobian

Index A boolean for if Jacobian calculations should be done.

Default value

1

Related workspace variables

jacobian_targets

JacobianTargets A list of targets for the Jacobian Matrix calculations.

Default value

"atm": "surf": "line": "sensor":

Input to workspace methods

Modified by workspace methods

Output from workspace methods

Related workspace variables

measurement_averaging_kernel

Matrix Averaging kernel matrix.

This matrix is the partial derivative of the retrieved state vector with respect to the measurement_vector.

Usage: Used and set by inversion methods.

Input to workspace methods

model_state_covariance_matrix_smoothing_errorCalc()

Output from workspace methods

measurement_averaging_kernelCalc()

Related workspace variables

measurement_gain_matrix

Matrix Contribution function (or gain) matrix.

This matrix is the partial derivative of the retrieved state vector with respect to the measurement_vector).

Usage: Used and set by inversion methods.

Input to workspace methods

Output from workspace methods

OEM()

Related workspace variables

measurement_jacobian

Matrix The partial derivatives of the measurement_vector.

The size of this variable should be the size measurement_vector times the size of model_state_vector.

Input to workspace methods

measurement_averaging_kernelCalc()

Modified by workspace methods

OEM()

Output from workspace methods

Output from workspace agendas

inversion_iterate_agenda

Related workspace variables

measurement_sensor

ArrayOfSensorObsel A list of sensor elements.

Size is number of elements of the sensor.

Input to workspace methods

Modified by workspace methods

Output from workspace methods

Related workspace variables

measurement_vector

Vector The measurment vector for, e.g., a sensor.

In classical F(x) = y-notation, this is the y.

Input to workspace methods

Output from workspace methods

Related workspace variables

measurement_vector_error_covariance_matrix

CovarianceMatrix Covariance matrix for observation uncertainties.

Input to workspace methods

Output from workspace methods

measurement_vector_error_covariance_matrixConstant()

Related workspace variables

measurement_vector_fitted

Vector As measurement_vector, but fitted to the model.

Default value

[]

Modified by workspace methods

OEM()

Output from workspace methods

Output from workspace agendas

inversion_iterate_agenda

Related workspace variables

model_state_covariance_matrix

CovarianceMatrix Covariance matrix of a priori distribution.

Input to workspace methods

Modified by workspace methods

model_state_covariance_matrixAddSpeciesVMR()

Output from workspace methods

Related workspace variables

model_state_vector

Vector A state vector of the model.

In classical F(x) = y-notation, this is the x.

Default value

[]

Input to workspace methods

Modified by workspace methods

Output from workspace methods

Related workspace variables

model_state_vector_apriori

Vector An apriori state vector of the model.

In classical F(x) = y-notation, this is the x.

Input to workspace methods

OEM()

Output from workspace methods

Related workspace variables

propagation_matrix

PropmatVector This contains the propagation matrix for the current path point.

The propagation matrix can be used to computed the transmission through a layer as:

\[\mathbf{T} = \exp\left(-\mathbf{K} r\right),\]

where $\mathbf{K}$ is the propagation matrix, and $r$ is some distance over which it is considered constant.

The unit is [1 / m].

Dimension: frequency_grid.

Modified by workspace methods

Output from workspace methods

Output from workspace agendas

propagation_matrix_agenda

Related workspace variables

propagation_matrix_agenda

Agenda Compute the propagation matrix, the non-LTE source vector, and their derivatives

Parameters:

propagation_matrix (PropmatVector) – This contains the propagation matrix for the current path point. See :attr: ~pyarts.workspace.Workspace.propagation_matrix [OUT]
propagation_matrix_source_vector_nonlte (StokvecVector) – The part of the source vector that is due to non-LTE. See :attr: ~pyarts.workspace.Workspace.propagation_matrix_source_vector_nonlte [OUT]
propagation_matrix_jacobian (PropmatMatrix) – . See :attr: ~pyarts.workspace.Workspace.propagation_matrix_jacobian [OUT]
propagation_matrix_source_vector_nonlte_jacobian (StokvecMatrix) – Partial derivative of the propagation_matrix_source_vector_nonlte with regards to jacobian_targets. See :attr: ~pyarts.workspace.Workspace.propagation_matrix_source_vector_nonlte_jacobian [OUT]
frequency_grid (AscendingGrid) – A single path point’s frequency grid. See :attr: ~pyarts.workspace.Workspace.frequency_grid [IN]
frequency_grid_wind_shift_jacobian (Vector3) – The frequency grid wind shift Jacobian. See :attr: ~pyarts.workspace.Workspace.frequency_grid_wind_shift_jacobian [IN]
jacobian_targets (JacobianTargets) – A list of targets for the Jacobian Matrix calculations. See :attr: ~pyarts.workspace.Workspace.jacobian_targets [IN]
propagation_matrix_select_species (SpeciesEnum) – A select species tag group from absorption_species. See :attr: ~pyarts.workspace.Workspace.propagation_matrix_select_species [IN]
ray_path_point (PropagationPathPoint) – A single path point. See :attr: ~pyarts.workspace.Workspace.ray_path_point [IN]
atmospheric_point (AtmPoint) – An atmospheric point in ARTS. See :attr: ~pyarts.workspace.Workspace.atmospheric_point [IN]

Input to workspace methods

Output from workspace methods

Related workspace variables

propagation_matrix_jacobian

PropmatMatrix Partial derivative of the propagation_matrix with regards to jacobian_targets.

The units depend on what is set in jacobian_targets [1 / m / jacobian target’s unit].

Modified by workspace methods

Output from workspace methods

Output from workspace agendas

propagation_matrix_agenda

Related workspace variables

propagation_matrix_scattering

PropmatVector This contains the propagation matrix for scattering for the current path point.

This needs to be used when scattering into the line of sight is considered. And it needs then to also be added to the propagation_matrix, which you should see for more information.

The unit is [1 / m].

Dimension: frequency_grid.

Modified by workspace methods

propagation_matrix_scatteringAirSimple()

Output from workspace methods

Output from workspace agendas

propagation_matrix_scattering_agenda

Related workspace variables

propagation_matrix_scattering_agenda

Agenda Compute the propagation matrix, the non-LTE source vector, and their derivatives

Parameters:

propagation_matrix_scattering (PropmatVector) – This contains the propagation matrix for scattering for the current path point. See :attr: ~pyarts.workspace.Workspace.propagation_matrix_scattering [OUT]
frequency_grid (AscendingGrid) – A single path point’s frequency grid. See :attr: ~pyarts.workspace.Workspace.frequency_grid [IN]
atmospheric_point (AtmPoint) – An atmospheric point in ARTS. See :attr: ~pyarts.workspace.Workspace.atmospheric_point [IN]

Input to workspace methods

Output from workspace methods

propagation_matrix_scattering_agendaSet()

Related workspace variables

propagation_matrix_select_species

SpeciesEnum A select species tag group from absorption_species

If set to empty, this selection is void. It must otherwise match perfectly a tag inside absorption_species for that to be the selection.

Default value

AIR

Related workspace variables

propagation_matrix_source_vector_nonlte

StokvecVector The part of the source vector that is due to non-LTE.

This is closely related to propagation_matrix.

Gven the level source term:

\[\vec{J} = \mathbf{K}^{-1} \left(\vec{\alpha}B + \vec{J}_n + \cdots\right),\]

this variable holds $\vec{J}_n$. Here, $\vec{\alpha}$ is the first column of $\mathbf{K}$, which is from the propagation_matrix variable. $B$ is the Planck function. The ellipsis denotes other terms that can come from more sources, such as scattering and/or transmitting equipment.

The unit is in spectral_radiance per meter.

Modified by workspace methods

propagation_matrixAddLines()

Output from workspace methods

Output from workspace agendas

propagation_matrix_agenda

Related workspace variables

propagation_matrix_source_vector_nonlte_jacobian

StokvecMatrix Partial derivative of the propagation_matrix_source_vector_nonlte with regards to jacobian_targets.

The units are spectral_radiance_jacobian per meter.

Modified by workspace methods

Output from workspace methods

Output from workspace agendas

propagation_matrix_agenda

Related workspace variables

ray_path

ArrayOfPropagationPathPoint A list path points making up a propagation path.

Input to workspace methods

Output from workspace methods

Input to workspace agendas

disort_settings_agenda

Output from workspace agendas

Related workspace variables

ray_path_atmospheric_point

ArrayOfAtmPoint Atmospheric points along the propagation path.

See atmospheric_point for information about atmospheric points

Dimension: [ ppath.np ]

Usage: Output of radiative transfer methods.

Input to workspace methods

Modified by workspace methods

ray_path_atmospheric_pointExtendInPressure()

Output from workspace methods

ray_path_atmospheric_pointFromPath()

Related workspace variables

ray_path_frequency_grid

ArrayOfAscendingGrid All frequency_grid along the propagation path.

Input to workspace methods

Output from workspace methods

ray_path_frequency_gridFromPath()

Related workspace variables

ray_path_frequency_grid_wind_shift_jacobian

ArrayOfVector3 A list of frequency_grid_wind_shift_jacobian for a ray path.

Input to workspace methods

ray_path_propagation_matrixFromPath()

Output from workspace methods

ray_path_frequency_gridFromPath()

Related workspace variables

ray_path_observer_agenda

Agenda Get the propagation path as it is obeserved.

The intent of this agenda is to provide a propagation path as seen from the observer position and line of sight.

Parameters:

ray_path (ArrayOfPropagationPathPoint) – A list path points making up a propagation path. See :attr: ~pyarts.workspace.Workspace.ray_path [OUT]
spectral_radiance_observer_position (Vector3) – The position of an observer of spectral radiance. See :attr: ~pyarts.workspace.Workspace.spectral_radiance_observer_position [IN]
spectral_radiance_observer_line_of_sight (Vector2) – The position of the observer of spectral radiance. See :attr: ~pyarts.workspace.Workspace.spectral_radiance_observer_line_of_sight [IN]

Input to workspace methods

Output from workspace methods

ray_path_observer_agendaSet()

Related workspace variables

ray_path_point

PropagationPathPoint A single path point.

Input to workspace methods

Output from workspace methods

Related workspace variables

ray_path_propagation_matrix

ArrayOfPropmatVector Propagation matrices along the propagation path

Input to workspace methods

Modified by workspace methods

ray_path_propagation_matrixAddScattering()

Output from workspace methods

ray_path_propagation_matrixFromPath()

Related workspace variables

ray_path_propagation_matrix_jacobian

ArrayOfPropmatMatrix Propagation derivative matrices along the propagation path

Input to workspace methods

Output from workspace methods

ray_path_propagation_matrixFromPath()

Related workspace variables

ray_path_propagation_matrix_scattering

ArrayOfPropmatVector Propagation matrices along the propagation path for scattering

Input to workspace methods

Output from workspace methods

ray_path_propagation_matrix_scatteringFromPath()

Related workspace variables

ray_path_propagation_matrix_source_vector_nonlte

ArrayOfStokvecVector Additional non-LTE along the propagation path

Input to workspace methods

ray_path_spectral_radiance_sourceFromPropmat()

Output from workspace methods

ray_path_propagation_matrixFromPath()

Related workspace variables

ray_path_propagation_matrix_source_vector_nonlte_jacobian

ArrayOfStokvecMatrix Additional non-LTE derivative along the propagation path

Input to workspace methods

ray_path_spectral_radiance_sourceFromPropmat()

Output from workspace methods

ray_path_propagation_matrixFromPath()

Related workspace variables

ray_path_spectral_radiance_jacobian

ArrayOfStokvecMatrix Spectral radiance derivative along the propagation path

Input to workspace methods

spectral_radiance_jacobianAddPathPropagation()

Output from workspace methods

Related workspace variables

ray_path_spectral_radiance_scattering

ArrayOfStokvecVector Spectral radiance scattered into the propagation path

Input to workspace methods

ray_path_spectral_radiance_sourceAddScattering()

Output from workspace methods

ray_path_spectral_radiance_scatteringSunsFirstOrderRayleigh()

Related workspace variables

ray_path_spectral_radiance_source

ArrayOfStokvecVector Source vectors along the propagation path

Input to workspace methods

Modified by workspace methods

ray_path_spectral_radiance_sourceAddScattering()

Output from workspace methods

ray_path_spectral_radiance_sourceFromPropmat()

Related workspace variables

ray_path_spectral_radiance_source_jacobian

ArrayOfStokvecMatrix Source derivative vectors along the propagation path

Input to workspace methods

Output from workspace methods

ray_path_spectral_radiance_sourceFromPropmat()

Related workspace variables

ray_path_suns_path

ArrayOfArrayOfArrayOfPropagationPathPoint A list of paths to the suns from the ray path.

Dimensions: ray_path x suns x sun_path

Input to workspace methods

Output from workspace methods

ray_path_suns_pathFromPathObserver()

Related workspace variables

ray_path_transmission_matrix

ArrayOfMuelmatVector Transmission matrices along the propagation path.

The outer dimension is the number of layers.

The inner dimension is the number of frequency points.

The order of the elements is such that index zero is closest to the obeserver.

Input to workspace methods

Output from workspace methods

ray_path_transmission_matrixFromPath()

Related workspace variables

ray_path_transmission_matrix_cumulative

ArrayOfMuelmatVector Cumulative transmission matrices along the propagation path

Input to workspace methods

Output from workspace methods

ray_path_transmission_matrix_cumulativeFromPath()

Related workspace variables

ray_path_transmission_matrix_jacobian

ArrayOfMuelmatTensor3 Transmission derivative matrices along the propagation path.

The outer dimension is the number of layers.

The inner dimensions are the number of level derivatives, the number of jacbian targets, and the number of frequency points. The required number of level derivatives is determined by the appropriate method (a common value is 2, for the 2 levels surrounding a layer).

The order of the elements is such that index zero is closest to the obeserver.

Input to workspace methods

Output from workspace methods

ray_path_transmission_matrixFromPath()

Related workspace variables

spectral_radiance

StokvecVector A spectral radiance vector.

This is the representation of the spectral radiances at discrete frequencies for a discrete viewing direction.

The unit of spectral radiance is [W / m $^2$ sr Hz].

Note that there are conversion routines that changes this unit, e.g., spectral_radianceApplyUnit(). After conversion, the use of spectral_radiance in any method no marked as safe for different units, will lead to undefined behavior with possibly bad values being computed.

The size of this variable should be the size of the local frequency_grid.

Input to workspace methods

Modified by workspace methods

Output from workspace methods

Output from workspace agendas

Related workspace variables

spectral_radiance_background

StokvecVector Spectral radiance from the background

Shape: NFREQ

Input to workspace methods

Output from workspace methods

spectral_radiance_backgroundAgendasAtEndOfPath()

Related workspace variables

spectral_radiance_background_jacobian

StokvecMatrix Spectral radiance derivative from the background

Shape: NJAC x NFREQ

Input to workspace methods

Output from workspace methods

spectral_radiance_backgroundAgendasAtEndOfPath()

Related workspace variables

spectral_radiance_jacobian

StokvecMatrix Jacobian of spectral_radiance with respect to jacobian_targets.

The size of this variable should be the local jacobian_targets as rows times the size of the local spectral_radiance as columns.

Modified by workspace methods

Output from workspace methods

Output from workspace agendas

Related workspace variables

spectral_radiance_observer_agenda

Agenda Spectral radiance as seen from the input position and environment

The intent of this agenda is to provide a spectral radiance as seen from the observer position and line of sight.

It also outputs the ray_path as seen from the observer position and line of sight. This is useful in-case a call to the destructive spectral_radianceApplyUnitFromSpectralRadiance() is warranted

The output must be sized as:

spectral_radiance : (frequency_grid)
spectral_radiance_jacobian : (jacobian_targets, frequency_grid)
ray_path : (Unknown)

Parameters:

spectral_radiance (StokvecVector) – A spectral radiance vector. See :attr: ~pyarts.workspace.Workspace.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix) – Jacobian of spectral_radiance with respect to jacobian_targets. See :attr: ~pyarts.workspace.Workspace.spectral_radiance_jacobian [OUT]
ray_path (ArrayOfPropagationPathPoint) – A list path points making up a propagation path. See :attr: ~pyarts.workspace.Workspace.ray_path [OUT]
frequency_grid (AscendingGrid) – A single path point’s frequency grid. See :attr: ~pyarts.workspace.Workspace.frequency_grid [IN]
jacobian_targets (JacobianTargets) – A list of targets for the Jacobian Matrix calculations. See :attr: ~pyarts.workspace.Workspace.jacobian_targets [IN]
spectral_radiance_observer_position (Vector3) – The position of an observer of spectral radiance. See :attr: ~pyarts.workspace.Workspace.spectral_radiance_observer_position [IN]
spectral_radiance_observer_line_of_sight (Vector2) – The position of the observer of spectral radiance. See :attr: ~pyarts.workspace.Workspace.spectral_radiance_observer_line_of_sight [IN]
atmospheric_field (AtmField) – An atmospheric field in ARTS. See :attr: ~pyarts.workspace.Workspace.atmospheric_field [IN]
surface_field (SurfaceField) – The surface field describes the surface properties. See :attr: ~pyarts.workspace.Workspace.surface_field [IN]

Input to workspace methods

Output from workspace methods

spectral_radiance_observer_agendaSet()

Related workspace variables

spectral_radiance_observer_line_of_sight

Vector2 The position of the observer of spectral radiance.

Most likely only makes sense in combination with spectral_radiance_observer_position.

Related workspace variables

spectral_radiance_observer_position

Vector3 The position of an observer of spectral radiance.

Most likely only makes sense in combination with spectral_radiance_observer_line_of_sight.

Related workspace variables

spectral_radiance_operator

SpectralRadianceOperator The spectral radiance operator.

This is a class that can compute the spectral radiance along a path for a single viewing direction and frequency.

It provides several methods to get the path of the spectral radiance.

Input to workspace methods

Output from workspace methods

spectral_radiance_operatorClearsky1D()

Related workspace variables

spectral_radiance_space_agenda

Agenda Spectral radiance as seen of space.

This agenda calculates the spectral radiance as seen of space. One common use-case us to provide a background spectral radiance.

The input path point should be as if it is looking at space.

The output must be sized as:

Parameters:

spectral_radiance (StokvecVector) – A spectral radiance vector. See :attr: ~pyarts.workspace.Workspace.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix) – Jacobian of spectral_radiance with respect to jacobian_targets. See :attr: ~pyarts.workspace.Workspace.spectral_radiance_jacobian [OUT]
frequency_grid (AscendingGrid) – A single path point’s frequency grid. See :attr: ~pyarts.workspace.Workspace.frequency_grid [IN]
jacobian_targets (JacobianTargets) – A list of targets for the Jacobian Matrix calculations. See :attr: ~pyarts.workspace.Workspace.jacobian_targets [IN]
ray_path_point (PropagationPathPoint) – A single path point. See :attr: ~pyarts.workspace.Workspace.ray_path_point [IN]

Input to workspace methods

Output from workspace methods

spectral_radiance_space_agendaSet()

Related workspace variables

spectral_radiance_surface_agenda

Agenda Spectral radiance as seen of the surface.

This agenda calculates the spectral radiance as seen of the surface. One common use-case us to provide a background spectral radiance.

The input path point should be as if it is looking at the surface.

The output must be sized as:

Parameters:

spectral_radiance (StokvecVector) – A spectral radiance vector. See :attr: ~pyarts.workspace.Workspace.spectral_radiance [OUT]
spectral_radiance_jacobian (StokvecMatrix) – Jacobian of spectral_radiance with respect to jacobian_targets. See :attr: ~pyarts.workspace.Workspace.spectral_radiance_jacobian [OUT]
frequency_grid (AscendingGrid) – A single path point’s frequency grid. See :attr: ~pyarts.workspace.Workspace.frequency_grid [IN]
jacobian_targets (JacobianTargets) – A list of targets for the Jacobian Matrix calculations. See :attr: ~pyarts.workspace.Workspace.jacobian_targets [IN]
ray_path_point (PropagationPathPoint) – A single path point. See :attr: ~pyarts.workspace.Workspace.ray_path_point [IN]
surface_field (SurfaceField) – The surface field describes the surface properties. See :attr: ~pyarts.workspace.Workspace.surface_field [IN]

Input to workspace methods

Output from workspace methods

spectral_radiance_surface_agendaSet()

Related workspace variables

spectral_radiance_unit

SpectralRadianceUnitType The spectral radiance unit after conversion.

Internally, it is always assumed that this is set to “1” and that no unit conversion are taking place.

Please be aware of limitations of follow-up method calls when using this variable manually. Unless a method or variable explicitly mention that a unit conversion is supported before it is called, the use of spectral_radiance_unit with a different unit than “1” may lead to undesired results.

Default value

unit

Related workspace variables

sun

Sun A sun.

Input to workspace methods

Output from workspace methods

Related workspace variables

sun_path

ArrayOfPropagationPathPoint A path to a sun if it is visible.

A related variable is ray_path

Size is number of path points for the sun.

Input to workspace methods

spectral_radianceSunOrCosmicBackground()

Output from workspace methods

sun_pathFromObserverAgenda()

suns

ArrayOfSun A list of Sun.

Size is number of suns.

Input to workspace methods

Modified by workspace methods

sunsAddSun()

Related workspace variables

ray_path_suns_path

surface_field

SurfaceField The surface field describes the surface properties.

This describes the global surface values, such as elevation and temperature but also entirerly abstract properties and types.

Input to workspace methods

Modified by workspace methods

Output from workspace methods

transmission_matrix_background

MuelmatVector Transmittance from the background

Input to workspace methods

spectral_radiance_jacobianFromBackground()

Output from workspace methods

Operators

__eq__(value, /): Return self==value.

__ge__(value, /): Return self>=value.

__getstate__(): Helper for pickle.

__gt__(value, /): Return self>value.

__hash__(): Return hash(self).

__iter__(self) → collections.abc.Iterator[tuple[str, pyarts.arts.WorkspaceVariable]]: Allows iter(self)

__le__(value, /): Return self<=value.

__lt__(value, /): Return self<value.

__ne__(value, /): Return self!=value.