tardis.energy_input.gamma_ray_channel module

tardis.energy_input.gamma_ray_channel.calculate_total_decays(inventories, time_delta)

Function to create inventories of isotope for the entire simulation time.

Parameters:

inventoriesDict

dictionary of inventories for each shell

time_endfloat

End time of simulation in days.

Returns:

cumulative_decay_dfpd.DataFrame

total decays for x g of isotope for time ‘t’

tardis.energy_input.gamma_ray_channel.create_inventories_dict(isotope_dict)

Function to create dictionary of inventories for each shell

Parameters:

isotope_dictDict

dictionary of isotopes for each shell with their masses.

Returns

——-

invDict

dictionary of inventories for each shell {0: <radioactivedecay.inventory.Inventory object at 0x7f8b1c1b3d90>, 1: <radioactivedecay.inventory.Inventory object at 0x7f8b1c1b3d90>}

tardis.energy_input.gamma_ray_channel.create_isotope_decay_df(cumulative_decay_df, gamma_ray_lines)

Function to create a dataframe of isotopes for each shell with their decay mode, number of decays, radiation type, radiation energy and radiation intensity.

Parameters:

cumulative_decay_dfpd.DataFrame

total decays for x g of isotope for time ‘t’

gamma_ray_linespd.DataFrame

gamma ray lines from nndc stored as a pandas dataframe.

Returns:

isotope_decay_dfpd.DataFrame

dataframe of isotopes for each shell with their decay mode, number of decays, radiation type, radiation energy and radiation intensity.

tardis.energy_input.gamma_ray_channel.create_isotope_dicts(raw_isotope_abundance, cell_masses)

Function to create a dictionary of isotopes for each shell with their masses.

Parameters:

raw_isotope_abundancepd.DataFrame

isotope abundance in mass fractions.

cell_massesnumpy.ndarray

shell masses in units of g

Returns:

isotope_dictsDict

dictionary of isotopes for each shell with their masses. Each value is abundance * cell masses. For eg: {0: {‘Ni56’: 0.1, ‘Fe52’: 0.2, ‘Cr48’: 0.3},

{1: {‘Ni56’: 0.1, ‘Fe52’: 0.2, ‘Cr48’: 0.3}} etc