RetrievalAddAtmosphere

Workspace.RetrievalAddAtmosphere(self, jac_targets: pyarts3.arts.JacobianTargets | None = None, covmat_diagonal_blocks: pyarts3.arts.JacobianTargetsDiagonalCovarianceMatrixMap | None = None, target: pyarts3.arts.AtmKey | pyarts3.arts.SpeciesEnum | pyarts3.arts.SpeciesIsotope | pyarts3.arts.QuantumLevelIdentifier | None = None, d: pyarts3.arts.Numeric | None = None, matrix: pyarts3.arts.BlockMatrix | None = None, inverse: pyarts3.arts.BlockMatrix | None = None) → None

Sets an atmospheric target.

This method wraps jac_targetsAddAtmosphere() together with adding the covariance matrices, to the covmat_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 jac_targets. The covariance matrix inverse

Author: Richard Larsson

Parameters:

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

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

• target (AtmKey,SpeciesEnum,SpeciesIsotope,QuantumLevelIdentifier) – The target of interest. [IN]

• d (Numeric, optional) – The perturbation used in methods that cannot compute derivatives analytically. Defaults to 0.1 [IN]

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

• inverse (BlockMatrix, optional) – The inverse covariance diagonal block matrix. Defaults to pyarts3.arts.BlockMatrix() [IN]