Source code for species.data.btsettl

"""
Module for BT-Settl atmospheric model spectra.
"""

import os
import tarfile
import urllib.request

import numpy as np
import pandas as pd

from scipy.interpolate import interp1d

from species.util import data_util


[docs]def add_btsettl(input_path, database, wavel_range, teff_range, spec_res): """ Function for adding the BT-Settl atmospheric models to the database. Parameters ---------- input_path : str Folder where the data is located. database : h5py._hl.files.File Database. wavel_range : tuple(float, float) Wavelength range (micron). teff_range : tuple(float, float), None Effective temperature range (K). spec_res : float Spectral resolution. Returns ------- NoneType None """ if not os.path.exists(input_path): os.makedirs(input_path) data_folder = os.path.join(input_path, 'bt-settl/') input_file = 'BT-Settl_M-0.0_a+0.0.tar' label = '(5.8 GB)' url = 'https://phoenix.ens-lyon.fr/Grids/BT-Settl/CIFIST2011/SPECTRA/BT-Settl_M-0.0_a+0.0.tar' data_file = os.path.join(input_path, input_file) if not os.path.isfile(data_file): print(f'Downloading BT-Settl model spectra {label}...', end='', flush=True) urllib.request.urlretrieve(url, data_file) print(' [DONE]') print(f'Unpacking BT-Settl model spectra {label}...', end='', flush=True) tar = tarfile.open(data_file) tar.extractall(data_folder) tar.close() print(' [DONE]') teff = [] logg = [] flux = [] wavelength = [wavel_range[0]] while wavelength[-1] <= wavel_range[1]: wavelength.append(wavelength[-1] + wavelength[-1]/spec_res) wavelength = np.asarray(wavelength[:-1]) for _, _, file_list in os.walk(data_folder): for filename in sorted(file_list): if filename.startswith('lte') and filename.endswith('.7.bz2'): print_message = f'Adding BT-Settl model spectra... {filename}' print(f'\r{print_message:<80}', end='') if len(filename) == 39: teff_val = float(filename[3:6])*100. logg_val = float(filename[7:10]) feh_val = float(filename[11:14]) elif len(filename) == 41: teff_val = float(filename[3:8])*100. logg_val = float(filename[9:12]) feh_val = float(filename[13:16]) else: raise ValueError('The length of the filename is not compatible for reading ' 'the parameter values.') if teff_range is not None: if teff_val < teff_range[0] or teff_val > teff_range[1]: continue if feh_val != 0.: continue dataf = pd.pandas.read_csv(data_folder+filename, usecols=[0, 1], names=['wavelength', 'flux'], header=None, dtype={'wavelength': str, 'flux': str}, delim_whitespace=True, compression='bz2') dataf['wavelength'] = dataf['wavelength'].str.replace('D', 'E') dataf['flux'] = dataf['flux'].str.replace('D', 'E') dataf = dataf.apply(pd.to_numeric) data = dataf.values # [Angstrom] -> [micron] data_wavel = data[:, 0]*1e-4 # See https://phoenix.ens-lyon.fr/Grids/FORMAT data_flux = 10.**(data[:, 1]-8.) # [erg s-1 cm-2 Angstrom-1] # [erg s-1 cm-2 Angstrom-1] -> [W m-2 micron-1] data_flux = data_flux*1e-7*1e4*1e4 data = np.stack((data_wavel, data_flux), axis=1) index_sort = np.argsort(data[:, 0]) data = data[index_sort, :] if np.all(np.diff(data[:, 0]) < 0): raise ValueError('The wavelengths are not all sorted by increasing value.') indices = np.where((data[:, 0] >= wavel_range[0]) & (data[:, 0] <= wavel_range[1]))[0] if indices.size > 0: teff.append(teff_val) logg.append(logg_val) data = data[indices, :] flux_interp = interp1d(data[:, 0], data[:, 1], kind='linear', bounds_error=False, fill_value=1e-100) flux.append(flux_interp(wavelength)) data_sorted = data_util.sort_data(np.asarray(teff), np.asarray(logg), None, None, None, wavelength, np.asarray(flux)) data_util.write_data('bt-settl', ['teff', 'logg'], database, data_sorted) print_message = 'Adding BT-Settl model spectra... [DONE]' print(f'\r{print_message:<80}')