"""
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}')