doit_za_grid_optCalc
- Workspace.doit_za_grid_optCalc(self: pyarts.arts._Workspace, doit_za_grid_opt: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Vector]] = self.doit_za_grid_opt, cloudbox_field_mono: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Tensor6]] = self.cloudbox_field_mono, za_grid: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Vector]] = self.za_grid, doit_za_interp: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Index]] = self.doit_za_interp, acc: Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric], verbosity: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Verbosity]] = self.verbosity) None
Zenith angle grid optimization for scattering calculation.
This method optimizes the zenith angle grid. As input it requires a radiation field (
cloudbox_field
) which is calculated on a very fine zenith angle grid (za_grid
). Based on this field zenith angle grid points are selected, such that the maximum difference between the radiation field represented on the very fine zenith angle grid and the radiation field represented on the optimized grid (doit_za_grid_opt
) is less than the accuracy (acc
). Between the grid points the radiation field is interpolated linearly or polynomially depending ondoit_za_interp
.Note: The method works only for a 1D atmosphere and for one frequency.
Author(s): Claudia Emde
- Parameters:
doit_za_grid_opt (Vector, optional) – Optimized zenith angle grid. See
doit_za_grid_opt
, defaults toself.doit_za_grid_opt
[OUT]cloudbox_field_mono (Tensor6, optional) – Monochromatic radiation field inside the cloudbox. See
cloudbox_field_mono
, defaults toself.cloudbox_field_mono
[IN]za_grid (Vector, optional) – Zenith angle grid. See
za_grid
, defaults toself.za_grid
[IN]doit_za_interp (Index, optional) – Flag for interplation method in zenith angle dimension. See
doit_za_interp
, defaults toself.doit_za_interp
[IN]acc (Numeric) – Accuracy to achieve [%]. [IN]
verbosity (Verbosity) – ARTS verbosity. See
verbosity
, defaults toself.verbosity
[IN]