RetrievalAddSurface

Workspace.RetrievalAddSurface(self, jacobian_targets: pyarts.arts.JacobianTargets | None = None, covariance_matrix_diagonal_blocks: pyarts.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, target: pyarts.arts.SurfaceKey | pyarts.arts.SurfaceTypeTag | pyarts.arts.SurfacePropertyTag | None = None, d: pyarts.arts.Numeric | None = None, matrix: pyarts.arts.BlockMatrix | None = None, inverse: pyarts.arts.BlockMatrix | None = None) → None

Sets a surface target

This method wraps jacobian_targetsAddSurface() together with adding the covariance matrices, to the covariance_matrix_diagonal_blocks, which are required to perform OEM().

The input covariance matrices must fit the size of the later computed model state represented by the jacobian_targets. The covariance matrix inverse

Author(s): Richard Larsson

Parameters:

• jacobian_targets (JacobianTargets, optional) – A list of targets for the Jacobian Matrix calculations. See jacobian_targets, defaults to self.jacobian_targets [INOUT]

• covariance_matrix_diagonal_blocks (JacobianTargetsDiagonalCovarianceMatrixMap, optional) – A helper map for setting the covariance matrix. See covariance_matrix_diagonal_blocks, defaults to self.covariance_matrix_diagonal_blocks [INOUT]

• target (SurfaceKey,SurfaceTypeTag,SurfacePropertyTag) – The target of interest. [IN]

• d (Numeric, optional) – , optionalThe perturbation used in methods that cannot compute derivatives analytically. [IN]

• matrix (BlockMatrix) – The covariance diagonal block matrix. [IN]

• inverse (BlockMatrix, optional) – , optionalThe inverse covariance diagonal block matrix. [IN]