measurement_vectorConditionalAddError

Workspace.measurement_vectorConditionalAddError(self, measurement_vector: pyarts3.arts.Vector | None = None, measurement_jacobian: pyarts3.arts.Matrix | None = None, measurement_vector_error: pyarts3.arts.Vector | None = None, measurement_jacobian_error: pyarts3.arts.Matrix | None = None, do_jacobian: pyarts3.arts.Index | None = None) → None

Add the measurement error to the measurement. Conditionally, also to the Jacobian.

Author: Richard Larsson

Parameters:

• measurement_vector (Vector, optional) – The measurment vector for, e.g., a sensor. See measurement_vector, defaults to self.measurement_vector [INOUT]

• measurement_jacobian (Matrix, optional) – The first order partial derivatives of the measurement_vector. See measurement_jacobian, defaults to self.measurement_jacobian [INOUT]

• measurement_vector_error (Vector, optional) – The model measurment vector error for, e.g., a sensor. See measurement_vector_error, defaults to self.measurement_vector_error [IN]

• measurement_jacobian_error (Matrix, optional) – The partial derivatives of the measurement_vector_error. See measurement_jacobian_error, defaults to self.measurement_jacobian_error [IN]

• do_jacobian (Index, optional) – A boolean calculations related to the measurement_jacobian should be ignored. See do_jacobian, defaults to self.do_jacobian [IN]