tardis.opacities.macro_atom.macroatom_solver module

class tardis.opacities.macro_atom.macroatom_solver.BoundBoundMacroAtomSolver(levels, lines)

Bases: object

levels: DataFrame

lines: DataFrame

solve(mean_intensities_blue_wing, beta_sobolevs, stimulated_emission_factors)

Solves the transition probabilities and returns a DataFrame with the probabilities and a DataFrame with the macro atom transition metadata. Referenced as $p_i$ in Lucy 2003, https://doi.org/10.1051/0004-6361:20030357 Parameters ———- mean_intensities_blue_wing : pd.DataFrame

Mean intensity of the radiation field of each line in the blue wing for each shell. For more detail see Lucy 2003, https://doi.org/10.1051/0004-6361:20030357 Referenced as ‘J^b_{lu}’ internally, or ‘J^b_{ji}’ in the original paper.

beta_sobolevspd.DataFrame

Escape probabilites for the Sobolev approximation.

stimulated_emission_factorspd.DataFrame

Stimulated emission factors for the lines.

Returns:

MacroAtomState

A MacroAtomState object containing the transition probabilities, transition metadata, and a mapping from line IDs to macro atom level upper indices.

class tardis.opacities.macro_atom.macroatom_solver.LegacyMacroAtomSolver(initialize=True, normalize=True)

Bases: object

Solver class for Macro Atom related opacities

Parameters:

initialize: bool

Whether or not to initialize the transition probabilitiy coefficients and block references when solving the first time (default True)

normalize: bool

Whether or not to normalize the transition probabilities to unity. Default True

initialize: bool = True

initialize_transition_probabilities(atomic_data)

initialize the transition probability coefficients and block references when solving the first time

Parameters:

atomic_datatardis.io.atom_data.AtomData

Atomic Data

normalize: bool = True

solve(mean_intensities_lines_blue_wing, atomic_data, tau_sobolev, stimulated_emission_factor, beta_sobolev=None)

Solved the Macro Atom State

Parameters:

mean_intensities_lines_blue_wingpd.DataFrame

Mean intensity of the radiation field of each line in the blue wing for each shell

atomic_datatardis.io.atom_data.AtomData

Atomic Data

tau_sobolevpd.DataFrame

Expansion Optical Depths

stimulated_emission_factorpd.DataFrame

beta_sobolevpd.DataFrame

Returns:

tardis.opacities.macroatom_state.MacroAtomState

State of the macro atom ready to be placed into the OpacityState

solve_transition_probabilities(atomic_data, mean_intensities_lines_blue_wing, tau_sobolev, beta_sobolev, stimulated_emission_factor)

Solve the basic transition probabilities for the macroatom

Parameters:

atomic_datatardis.io.atom_data.AtomData

Atomic Data

mean_intensities_lines_blue_wingpd.DataFrame

Mean intensity of the radiation field of each line in the blue wing for each shell For more detail see Lucy 2003, https://doi.org/10.1051/0004-6361:20030357

tau_sobolevpd.DataFrame

Expansion Optical Depths

beta_sobolevpd.DataFrame

Modified expansion Optical Depths

stimulated_emission_factornp.ndarray

Returns:

pd.DataFrame

Transition Probabilities