"""
Module for DRIFT-PHOENIX atmospheric model spectra.
"""
import os
import tarfile
import urllib.request
import spectres
import numpy as np
from species.util import data_util
[docs]def add_drift_phoenix(input_path,
database,
wavel_range=None,
teff_range=None,
spec_res=1000.):
"""
Function for adding the DRIFT-PHOENIX 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), None
Wavelength range (um). The original wavelength points are used if set to None.
teff_range : tuple(float, float), None
Effective temperature range (K). All temperatures are selected if set to None.
spec_res : float, None
Spectral resolution. Not used if ``wavel_range`` is set to None.
Returns
-------
NoneType
None
"""
if not os.path.exists(input_path):
os.makedirs(input_path)
data_file = os.path.join(input_path, 'drift-phoenix.tgz')
data_folder = os.path.join(input_path, 'drift-phoenix/')
url = 'https://people.phys.ethz.ch/~ipa/tstolker/drift-phoenix.tgz'
if not os.path.isfile(data_file):
print('Downloading DRIFT-PHOENIX model spectra (151 MB)...', end='', flush=True)
urllib.request.urlretrieve(url, data_file)
print(' [DONE]')
print('Unpacking DRIFT-PHOENIX model spectra...', end='', flush=True)
tar = tarfile.open(data_file)
tar.extractall(input_path)
tar.close()
print(' [DONE]')
teff = []
logg = []
feh = []
flux = []
if wavel_range is not None:
wavelength = [wavel_range[0]]
while wavelength[-1] <= wavel_range[1]:
wavelength.append(wavelength[-1] + wavelength[-1]/(2.*spec_res))
wavelength = np.asarray(wavelength[:-1])
else:
wavelength = None
for _, _, file_list in os.walk(data_folder):
for filename in sorted(file_list):
if filename.startswith('lte_'):
teff_val = float(filename[4:8])
logg_val = float(filename[9:12])
feh_val = float(filename[12:16])
if teff_range is not None:
if teff_val < teff_range[0] or teff_val > teff_range[1]:
continue
print_message = f'Adding DRIFT-PHOENIX model spectra... {filename}'
print(f'\r{print_message:<65}', end='')
data = np.loadtxt(data_folder+filename)
teff.append(teff_val)
logg.append(logg_val)
feh.append(feh_val)
if wavel_range is None:
if wavelength is None:
# (Angstrom) -> (um)
wavelength = data[:, 0]*1e-4
if np.all(np.diff(wavelength) < 0):
raise ValueError('The wavelengths are not all sorted by increasing value.')
# (erg s-1 cm-2 Angstrom-1) -> (W m-2 um-1)
flux.append(data[:, 1]*1e-7*1e4*1e4)
else:
# (Angstrom) -> (um)
data_wavel = data[:, 0]*1e-4
# (erg s-1 cm-2 Angstrom-1) -> (W m-2 um-1)
data_flux = data[:, 1]*1e-7*1e4*1e4
try:
flux.append(spectres.spectres(wavelength, data_wavel, data_flux))
except ValueError:
flux.append(np.zeros(wavelength.shape[0]))
warnings.warn('The wavelength range should fall within the range of the '
'original wavelength sampling. Storing zeros instead.')
data_sorted = data_util.sort_data(np.asarray(teff),
np.asarray(logg),
np.asarray(feh),
None,
None,
wavelength,
np.asarray(flux))
data_util.write_data('drift-phoenix', ('teff', 'logg', 'feh'), database, data_sorted)
print_message = 'Adding DRIFT-PHOENIX model spectra... [DONE]'
print(f'\r{print_message:<65}')