measurement_inversion_agendaExecute

Workspace.measurement_inversion_agendaExecute(self, measurement_vec_fit: Vector = self.measurement_vec_fit, measurement_jac: Matrix = self.measurement_jac, model_state_targets: JacobianTargets = self.model_state_targets, jac_targets: JacobianTargets = self.jac_targets, measurement_inversion_agenda: Agenda = self.measurement_inversion_agenda) → CxxWorkspace

Executes measurement_inversion_agenda, see it for more details

Warning

Automatic size constraints are not checked for this method. Group-invariant checks on read-only inputs still apply.

Author: Automatically Generated

Parameters:

  • measurement_vec_fit (~pyarts3.arts.Vector, optional) – As measurement_vec, but fitted to the model. Defaults to self.measurement_vec_fit. [OUT]

  • measurement_jac (~pyarts3.arts.Matrix, optional) – The first order partial derivatives of the measurement_vec. Defaults to self.measurement_jac. [OUT]

  • model_state_targets (~pyarts3.arts.JacobianTargets, optional) – Complete mapping from model_state_vec to physical model fields and measurement errors. Defaults to self.model_state_targets. [IN]

  • jac_targets (~pyarts3.arts.JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. Defaults to self.jac_targets. [IN]

  • measurement_inversion_agenda (~pyarts3.arts.Agenda, optional) – Simulate the fitted measurement for the current physical model. Defaults to self.measurement_inversion_agenda. [IN]

Returns:

opt – The internal workspace, cleaned from all input/output.

Return type:

CxxWorkspace