psdModifiedGammaMassMeanParticleMass

Workspace.psdModifiedGammaMassMeanParticleMass(self: pyarts.arts._Workspace, psd_data: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Matrix]] = self.psd_data, dpsd_data_dx: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Tensor3]] = self.dpsd_data_dx, psd_size_grid: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Vector]] = self.psd_size_grid, pnd_agenda_input_t: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Vector]] = self.pnd_agenda_input_t, pnd_agenda_input: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Matrix]] = self.pnd_agenda_input, pnd_agenda_input_names: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.ArrayOfString]] = self.pnd_agenda_input_names, dpnd_data_dx_names: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.ArrayOfString]] = self.dpnd_data_dx_names, scat_species_a: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric]] = self.scat_species_a, scat_species_b: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric]] = self.scat_species_b, n0: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric]] = std::numeric_limits<Numeric>::quiet_NaN(), mu: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric]] = std::numeric_limits<Numeric>::quiet_NaN(), la: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric]] = std::numeric_limits<Numeric>::quiet_NaN(), ga: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric]] = std::numeric_limits<Numeric>::quiet_NaN(), t_min: Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric], t_max: Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Numeric], picky: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Index]] = 0, verbosity: Optional[Union[pyarts.arts.WorkspaceVariable, pyarts.arts.Verbosity]] = self.verbosity) → None

Modified gamma distribution PSD, with mass content and mean particle mass (Mmean) as inputs.

“Mean particle mass” is here defined as the mass content divided with the total number density.

This version of MGD PSD works as psdModifiedGammaMass(), but takes mass content and mean particle mass as first two arguments. This means that the first and second column of pnd_agenda_input shall hold mass content and Mmean, respectively. Accordingly, the number of dependent parameters is two.

These requirements apply to the MGD parameters:

  1. mu + 1 > 0

  2. la > 0

  3. ga > 0

  4. Mmean must be > 0.

Author(s): Patrick Eriksson

Parameters:

  • psd_data (Matrix, optional) – Particle size distribution values for a set of points. See psd_data, defaults to self.psd_data [OUT]

  • dpsd_data_dx (Tensor3, optional) – Partial derivates of psd_data. See dpsd_data_dx, defaults to self.dpsd_data_dx [OUT]

  • psd_size_grid (Vector, optional) – The particle sizes associated with psd_data. See psd_size_grid, defaults to self.psd_size_grid [IN]

  • pnd_agenda_input_t (Vector, optional) – Temperature input to one element of pnd_agenda_array. See pnd_agenda_input_t, defaults to self.pnd_agenda_input_t [IN]

  • pnd_agenda_input (Matrix, optional) – The variable input to one element of pnd_agenda_array. See pnd_agenda_input, defaults to self.pnd_agenda_input [IN]

  • pnd_agenda_input_names (ArrayOfString, optional) – Naming of (existing or expected) data in pnd_agenda_input. See pnd_agenda_input_names, defaults to self.pnd_agenda_input_names [IN]

  • dpnd_data_dx_names (ArrayOfString, optional) – Selection of partial derivatives of pnd_data. See dpnd_data_dx_names, defaults to self.dpnd_data_dx_names [IN]

  • scat_species_a (Numeric, optional) – Mass-size relationship parameter, for one scattering species. See scat_species_a, defaults to self.scat_species_a [IN]

  • scat_species_b (Numeric, optional) – Mass-size relationship parameter, for one scattering species. See scat_species_b, defaults to self.scat_species_b [IN]

  • n0 (Numeric, optional) – n0. Defaults to NaN [IN]

  • mu (Numeric, optional) – mu. Defaults to NaN [IN]

  • la (Numeric, optional) – la. Defaults to NaN [IN]

  • ga (Numeric, optional) – ga. Defaults to NaN [IN]

  • t_min (Numeric) – Low temperature limit to calculate a psd. [IN]

  • t_max (Numeric) – High temperature limit to calculate a psd. [IN]

  • picky (Index, optional) – Flag whether to be strict with parametrization value checks. Defaults to 0 [IN]

  • verbosity (Verbosity) – ARTS verbosity. See verbosity, defaults to self.verbosity [IN]