import logging
import numpy as np
logger = logging.getLogger(__name__)
[docs]class NLTEExcitationData(object):
"""Data needed for NLTE excitation treatment."""
def __init__(self, atom_data_lines, nlte_excitation_species):
"""Initializes the NLTEExcitationData object.
Parameters
----------
atom_data_lines : pandas.DataFrame
Information on lines in the atomic data.
nlte_excitation_species : list
List of species treated in NLTE excitation.
"""
self.atom_data_lines = atom_data_lines
self.lines = atom_data_lines.reset_index()
self.nlte_excitation_species = nlte_excitation_species
if nlte_excitation_species:
logger.info("Preparing the NLTE data")
self._init_indices()
def _init_indices(self):
"""Initializes A_ul and B_ul, B_lu coefficients."""
self.lines_idx = {}
self.lines_level_number_lower = {}
self.lines_level_number_upper = {}
self.A_uls = {}
self.B_uls = {}
self.B_lus = {}
nlte_excitation_species = self.nlte_excitation_species
for species in nlte_excitation_species:
lines_idx = np.where(
(self.lines.atomic_number == species[0])
& (self.lines.ion_number == species[1])
)
self.lines_idx[species] = lines_idx
self.lines_level_number_lower[
species
] = self.lines.level_number_lower.values[lines_idx].astype(int)
self.lines_level_number_upper[
species
] = self.lines.level_number_upper.values[lines_idx].astype(int)
self.A_uls[species] = self.atom_data_lines.A_ul.values[lines_idx]
self.B_uls[species] = self.atom_data_lines.B_ul.values[lines_idx]
self.B_lus[species] = self.atom_data_lines.B_lu.values[lines_idx]