measurement_averaging_kernelCalc

Workspace.measurement_averaging_kernelCalc(self, measurement_averaging_kernel: pyarts3.arts.Matrix | None = None, measurement_gain_matrix: pyarts3.arts.Matrix | None = None, measurement_jacobian: pyarts3.arts.Matrix | None = None) → None

Calculate the averaging kernel matrix.

This is done by describing the sensitivity of the OEM() retrieval with respect to the true state of the system. A prerequisite for the calculation of the averaging kernel matrix is a successful OEM() calculation in which the measurement_jacobian and the gain matrix measurement_gain_matrix have been calculated.

Author: Simon Pfreundschuh

Parameters:

• measurement_averaging_kernel (Matrix, optional) – Averaging kernel matrix. See measurement_averaging_kernel, defaults to self.measurement_averaging_kernel [OUT]

• measurement_gain_matrix (Matrix, optional) – Contribution function (or gain) matrix. See measurement_gain_matrix, defaults to self.measurement_gain_matrix [IN]

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