"""
Module for petitCODE atmospheric models.
"""
import os
import zipfile
import wget
import numpy as np
from species.core import constants
from species.util import data_util
[docs]def add_petitcode_cool_clear(input_path,
database,
wl_bound,
teff_bound,
specres):
"""
Function for adding the petitCODE cool clear atmospheric models to the database.
Parameters
----------
input_path : str
Folder where the data is located.
database : h5py._hl.files.File
Database.
wl_bound : tuple(float, float)
Wavelength range (micron).
teff_bound : tuple(float, float), None
Effective temperature range (K).
specres : float
Spectral resolution.
Returns
-------
NoneType
None
"""
if not wl_bound:
wl_bound = (1e-2, 1e2)
if not os.path.exists(input_path):
os.makedirs(input_path)
data_folder = os.path.join(input_path, 'linder_molliere_grid/clear/specs/')
input_file = 'linder_molliere_grid.zip'
url = 'http://mpia.de/~molliere/online_data/linder_molliere_grid.zip'
data_file = os.path.join(input_path, input_file)
if not os.path.isfile(data_file):
print('Downloading petitCODE cool clear model spectra...', end='')
wget.download(url, out=data_file, bar=None)
print(' [DONE]')
print('Unpacking petitCODE cool clear model spectra...', end='')
with zipfile.ZipFile(data_file, 'r') as zip_ref:
zip_ref.extractall(input_path)
print(' [DONE]')
teff = []
logg = []
feh = []
wavelength = None
flux = []
for _, _, files in os.walk(data_folder):
for filename in files:
print_message = f'Adding petitCODE cool clear model spectra... {filename}'
print(f'\r{print_message:<110}', end='')
file_split = filename.split('_')
teff.append(float(file_split[2]))
logg.append(float(file_split[4]))
feh.append(float(file_split[6]))
data = np.loadtxt(os.path.join(data_folder, filename))
if wavelength is None:
# [cm] -> [micron]
wavelength = data[:, 0]*1e4
if np.all(np.diff(wavelength) < 0):
raise ValueError('The wavelengths are not all sorted by increasing value.')
# [erg s-1 cm-2 Hz-1] -> [W m-2 micron-1]
flux.append(data[:, 1]*1e-9*constants.LIGHT/(wavelength*1e-6)**2)
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('petitcode-cool-clear', ('teff', 'logg', 'feh'), database, data_sorted)
print_message = 'Adding petitCODE cool clear model spectra... [DONE]'
print(f'\r{print_message:<110}')
[docs]def add_petitcode_cool_cloudy(input_path,
database,
wl_bound,
teff_bound,
specres):
"""
Function for adding the petitCODE cool cloudy atmospheric models to the database.
Parameters
----------
input_path : str
Folder where the data is located.
database : h5py._hl.files.File
Database.
wl_bound : tuple(float, float)
Wavelength range (micron).
teff_bound : tuple(float, float), None
Effective temperature range (K).
specres : float
Spectral resolution.
Returns
-------
NoneType
None
"""
if not wl_bound:
wl_bound = (1e-2, 1e2)
if not os.path.exists(input_path):
os.makedirs(input_path)
data_folder = os.path.join(input_path, 'linder_molliere_grid/cloudy/specs/')
input_file = 'linder_molliere_grid.zip'
url = 'http://mpia.de/~molliere/online_data/linder_molliere_grid.zip'
data_file = os.path.join(input_path, input_file)
if not os.path.isfile(data_file):
print('Downloading petitCODE cool cloudy model spectra...', end='')
wget.download(url, out=data_file, bar=None)
print(' [DONE]')
print('Unpacking petitCODE cool cloudy model spectra...', end='')
with zipfile.ZipFile(data_file, 'r') as zip_ref:
zip_ref.extractall(input_path)
print(' [DONE]')
teff = []
logg = []
feh = []
fsed = []
wavelength = None
flux = []
for _, _, files in os.walk(data_folder):
for filename in files:
print_message = f'Adding petitCODE cool cloudy model spectra... {filename}'
print(f'\r{print_message:<110}', end='')
file_split = filename.split('_')
teff.append(float(file_split[2]))
logg.append(float(file_split[4]))
feh.append(float(file_split[6]))
fsed.append(float(file_split[8]))
data = np.loadtxt(os.path.join(data_folder, filename))
if wavelength is None:
# [cm] -> [micron]
wavelength = data[:, 0]*1e4
if np.all(np.diff(wavelength) < 0):
raise ValueError('The wavelengths are not all sorted by increasing value.')
# [erg s-1 cm-2 Hz-1] -> [W m-2 micron-1]
flux.append(data[:, 1]*1e-9*constants.LIGHT/(wavelength*1e-6)**2)
data_sorted = data_util.sort_data(np.asarray(teff),
np.asarray(logg),
np.asarray(feh),
None,
np.asarray(fsed),
wavelength,
np.asarray(flux))
data_util.write_data('petitcode-cool-cloudy', ('teff', 'logg', 'feh', 'fsed'), database, data_sorted)
print_message = 'Adding petitCODE cool cloudy model spectra... [DONE]'
print(f'\r{print_message:<110}')
[docs]def add_petitcode_hot_clear(input_path,
database,
wl_bound,
teff_bound,
specres,
data_folder):
"""
Function for adding the petitCODE hot clear atmospheric models to the database.
Parameters
----------
input_path : str
Folder where the data is located.
database : h5py._hl.files.File
Database.
wl_bound : tuple(float, float)
Wavelength range (micron).
teff_bound : tuple(float, float), None
Effective temperature range (K).
specres : float
Spectral resolution.
data_folder : str
Path with input data.
Returns
-------
NoneType
None
"""
if not wl_bound:
wl_bound = (1e-2, 1e2)
if not os.path.exists(input_path):
os.makedirs(input_path)
teff = []
logg = []
feh = []
co_ratio = []
wavelength = None
flux = []
for _, _, files in os.walk(data_folder):
for filename in files:
print_message = f'Adding petitCODE hot clear model spectra... {filename}'
print(f'\r{print_message:<110}', end='')
teff.append(float(filename[9:13]))
logg.append(float(filename[19:23]))
feh.append(float(filename[28:32]))
co_ratio.append(float(filename[36:40]))
data = np.loadtxt(os.path.join(data_folder, filename))
if wavelength is None:
# [cm] -> [micron]
wavelength = data[:, 0]*1e4
if np.all(np.diff(wavelength) < 0):
raise ValueError('The wavelengths are not all sorted by increasing value.')
# [erg s-1 cm-2 Hz-1] -> [W m-2 micron-1]
flux.append(data[:, 1]*1e-9*constants.LIGHT/(wavelength*1e-6)**2)
data_sorted = data_util.sort_data(np.asarray(teff),
np.asarray(logg),
np.asarray(feh),
np.asarray(co_ratio),
None,
wavelength,
np.asarray(flux))
data_util.write_data('petitcode-hot-clear', ('teff', 'logg', 'feh', 'co'), database, data_sorted)
print_message = 'Adding petitCODE hot clear model spectra... [DONE]'
print(f'\r{print_message:<110}')
[docs]def add_petitcode_hot_cloudy(input_path,
database,
wl_bound,
teff_bound,
specres,
data_folder):
"""
Function for adding the petitCODE hot cloudy atmospheric models to the database.
Parameters
----------
input_path : str
Folder where the data is located.
database : h5py._hl.files.File
Database.
wl_bound : tuple(float, float)
Wavelength range (micron).
teff_bound : tuple(float, float), None
Effective temperature range (K).
specres : float
Spectral resolution.
data_folder : str
Path with input data.
Returns
-------
NoneType
None
"""
if not wl_bound:
wl_bound = (1e-2, 1e2)
if not os.path.exists(input_path):
os.makedirs(input_path)
teff = []
logg = []
feh = []
co_ratio = []
fsed = []
wavelength = None
flux = []
for _, _, files in os.walk(data_folder):
for filename in files:
print_message = f'Adding petitCODE hot cloudy model spectra... {filename}'
print(f'\r{print_message:<110}', end='')
teff.append(float(filename[9:13]))
logg.append(float(filename[19:23]))
feh.append(float(filename[28:32]))
co_ratio.append(float(filename[36:40]))
fsed.append(float(filename[46:50]))
data = np.loadtxt(os.path.join(data_folder, filename))
if wavelength is None:
# [cm] -> [micron]
wavelength = data[:, 0]*1e4
if np.all(np.diff(wavelength) < 0):
raise ValueError('The wavelengths are not all sorted by increasing value.')
# [erg s-1 cm-2 Hz-1] -> [W m-2 micron-1]
flux.append(data[:, 1]*1e-9*constants.LIGHT/(wavelength*1e-6)**2)
data_sorted = data_util.sort_data(np.asarray(teff),
np.asarray(logg),
np.asarray(feh),
np.asarray(co_ratio),
np.asarray(fsed),
wavelength,
np.asarray(flux))
data_util.write_data('petitcode-hot-cloudy', ('teff', 'logg', 'feh', 'co', 'fsed'), database, data_sorted)
print_message = 'Adding petitCODE hot cloudy model spectra... [DONE]'
print(f'\r{print_message:<110}')