measurement_vec
- Workspace.measurement_vec: Vector
The measurement vector for, e.g., a sensor.
This is the core variable describing the measured data, or the model of measured data. It is the vector that is used in the inversion process to retrieve a model state vector.
This must often be the same size as
measurement_sensor.The notation in ARTS, for the purpose of
OEM(), is that\[\vec{y} = \mathbf{F}\left(\vec{x}\right) + \vec{y}_\epsilon\left(\vec{x}\right) + \epsilon\]where \(\mathbf{F}\) is the forward model function of the physics of the simulation space, \(\vec{x}\) is the
model_state_vec, \(\vec{y}_\epsilon\) is themeasurement_vec_error, and \(\epsilon\) are any additional errors, such as random noise.Throughout ARTS,
measurement_vechave different contextual meanings. These are:\(\vec{y}\) - the measured data by a sensor, i.e., the vector of observations.
\(\vec{y} - \epsilon\) - e.g., the best fit to measured data,
measurement_vec_fit.\(\mathbf{F}\left(\vec{x}\right)\) - i.e., the physical model of the measurement.
Effective local shape
[NMEAS]
Input to workspace methods
OEM()measurement_sensor_metaFromMeasurementVec()measurement_vec_fitFromMeasurement()model_state_vecFromRadarOnionPeeling()
Modified by workspace method
measurement_vecConditionalAddError()
Output from workspace methods
measurement_vecFromOperatorPath()measurement_vecFromRadarSingleScattering()measurement_vecFromSensor()
Related workspace variables
measurement_vec_errormeasurement_vec_error_covmatmeasurement_vec_fitmodel_state_vecmodel_state_vec_apriorisingle_nlte_srcvecsingle_nlte_srcvec_jacsingle_nlte_srcvec_jac_pathsingle_nlte_srcvec_path
spectral_absvec_scatspectral_absvec_scat_pathspectral_nlte_srcvecspectral_nlte_srcvec_jacspectral_nlte_srcvec_jac_pathspectral_nlte_srcvec_jac_profilespectral_nlte_srcvec_pathspectral_nlte_srcvec_profilespectral_rad_srcvec_path