measurement_vecConditionalAddError

Workspace.measurement_vecConditionalAddError(self, measurement_vec: pyarts3.arts.Vector | None = None, measurement_jac: pyarts3.arts.Matrix | None = None, measurement_vec_error: pyarts3.arts.Vector | None = None, measurement_jac_error: pyarts3.arts.Matrix | None = None, do_jac: pyarts3.arts.Index | None = None) → None

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

Author: Richard Larsson

Parameters:

measurement_vec (Vector, optional) – The measurment vector for, e.g., a sensor. See measurement_vec, defaults to self.measurement_vec [INOUT]
measurement_jac (Matrix, optional) – The first order partial derivatives of the measurement_vec. See measurement_jac, defaults to self.measurement_jac [INOUT]
measurement_vec_error (Vector, optional) – The model measurment vector error for, e.g., a sensor. See measurement_vec_error, defaults to self.measurement_vec_error [IN]
measurement_jac_error (Matrix, optional) – The partial derivatives of the measurement_vec_error. See measurement_jac_error, defaults to self.measurement_jac_error [IN]
do_jac (Index, optional) – A boolean calculations related to the measurement_jac should be ignored. See do_jac, defaults to self.do_jac [IN]