measurement_inversion_agendaSet

Workspace.measurement_inversion_agendaSet(self, measurement_inversion_agenda: pyarts3.arts.Agenda | None = None, option: pyarts3.arts.String | None = None) → None

Set measurement_inversion_agenda to a specific predefined option

Author: Automatically Generated

Parameters:

  • measurement_inversion_agenda (Agenda, optional) – This is a helper Agenda intended for use within inversion_iterate_agenda. See measurement_inversion_agenda, defaults to self.measurement_inversion_agenda [OUT]

  • option (String, optional) – Choice of generated agenda. Defaults to "LowMemory" [IN]

Valid options

These are the valid options for the measurement_inversion_agendaSet method. The listed method calls describe the order of the agenda calls for each option.

measurement_inversion_agendaSet(option="LowMemory")

  • Shares the global abs_bands

  • Shares the global atm_field

  • Shares the global measurement_sensor

  • Shares the global model_state_vec

  • Shares the global spectral_rad_observer_agenda

  • Shares the global spectral_rad_transform_operator

  • Shares the global subsurf_field

  • Shares the global surf_field

  • Copies the global jac_targets

  • measurement_vec_errorFromModelState()

  • jac_targetsConditionalClear()

  • kernel = “Low Memory”

  • measurement_vecFromSensor()

  • measurement_jacTransformations()

  • measurement_vecConditionalAddError()

  • measurement_vec_fitFromMeasurement()

measurement_inversion_agendaSet(option="HighPerformance")

  • Shares the global abs_bands

  • Shares the global atm_field

  • Shares the global measurement_sensor

  • Shares the global model_state_vec

  • Shares the global spectral_rad_observer_agenda

  • Shares the global spectral_rad_transform_operator

  • Shares the global subsurf_field

  • Shares the global surf_field

  • Copies the global jac_targets

  • measurement_vec_errorFromModelState()

  • jac_targetsConditionalClear()

  • kernel = “High Performance”

  • measurement_vecFromSensor()

  • measurement_jacTransformations()

  • measurement_vecConditionalAddError()

  • measurement_vec_fitFromMeasurement()