tardis.model.matter.decay module

class tardis.model.matter.decay.IsotopicMassFraction(*args, **kwargs)

Bases: DataFrame

as_atoms()

Merge Isotope dataframe according to atomic number

Returns:

pandas.DataFrame

Merged isotope abundances

calculate_decayed_mass_fractions(time_decay)

Decay the Model

Parameters:

tfloat or astropy.units.Quantity

if float it will be understood as days

Returns:

pandas.DataFrame

Decayed abundances

calculate_number_of_decays(time_decay, shell_masses=None)

Calculate the number of decays over a given time period for each shell.

Parameters:

time_decayastropy.units.Quantity

Time elapsed for which to compute the total decays (converted to days internally).

shell_massesastropy.units.Quantity, optional

Masses of each shell. If provided, isotopes in each shell’s inventory will be multiplied by the corresponding shell mass.

Returns:

pandas.DataFrame

A DataFrame of decays indexed by (atomic_number, mass_number), with columns representing the decays in each shell.

classmethod from_inventories(inventories)

static id_to_tuple(atomic_id)

merge(other, normalize=True)

Merge Isotope dataframe with abundance passed as parameter

Parameters:

otherpd.DataFrame

normalizebool

If true, resultant dataframe will be normalized

Returns:

pandas.DataFrame

merged abundances

to_inventories(shell_masses=None)

Convert DataFrame to a list of inventories interpreting the MultiIndex as atomic_number and mass_number

Returns:

list

list of radioactivedecay Inventories