import os
import urllib.request
import numpy as np
from species.core import constants
from species.util.data_util import extract_tarfile
[docs]
def add_saumon2008(database, input_path):
"""
Function for adding the Saumon & Marley (2008)
isochrone data to the database.
Parameters
----------
database : h5py._hl.files.File
Database.
input_path : str
Folder where the data is located.
Returns
-------
NoneType
None
"""
if not os.path.exists(input_path):
os.makedirs(input_path)
url_iso = "https://home.strw.leidenuniv.nl/~stolker/species/BD_evolution.tgz"
iso_tag = "Saumon & Marley (2008)"
iso_size = "800 kB"
data_folder = os.path.join(input_path, "saumon_marley_2008")
if not os.path.exists(data_folder):
os.makedirs(data_folder)
input_file = url_iso.rsplit("/", maxsplit=1)[-1]
data_file = os.path.join(input_path, input_file)
if not os.path.isfile(data_file):
print(f"Downloading {iso_tag} isochrones ({iso_size})...", end="", flush=True)
urllib.request.urlretrieve(url_iso, data_file)
print(" [DONE]")
print(f"Unpacking {iso_tag} isochrones ({iso_size})...", end="", flush=True)
extract_tarfile(data_file, data_folder)
print(" [DONE]")
iso_files = [
"nc_solar_age",
"nc-0.3_age",
"nc+0.3_age",
"f2_solar_age",
"hybrid_solar_age",
]
labels = [
"Cloudless [M/H] = 0.0",
"Cloudless [M/H] = -0.3",
"Cloudless [M/H] = +0.3",
"Cloudy f_sed = 2",
"Hybrid (cloudless / f_sed = 2)",
]
db_tags = [
"saumon2008-nc_solar",
"saumon2008-nc_-0.3",
"saumon2008-nc_+0.3",
"saumon2008-f2_solar",
"saumon2008-hybrid_solar",
]
for j, item in enumerate(iso_files):
iso_path = os.path.join(data_folder, item)
iso_data = []
with open(iso_path, encoding="utf-8") as open_file:
for i, line in enumerate(open_file):
if i == 0 or " " not in line.strip():
continue
# age(Gyr) M/Msun log(L/Lsun) Teff(K) log(g) R/Rsun
param = list(filter(None, line.strip().split(" ")))
param = list(map(float, param))
param[0] = 1e3 * param[0] # (Gyr) -> (Myr)
param[1] = (
param[1] * constants.M_SUN / constants.M_JUP
) # (Msun) -> (Mjup)
param[5] = (
param[5] * constants.R_SUN / constants.R_JUP
) # (Rsun) -> (Rjup)
iso_data.append(
[param[0], param[1], param[2], param[3], param[4], param[5]]
)
print(f"Adding isochrones: {iso_tag} {labels[j]}...", end="", flush=True)
iso_data = np.array(iso_data)
dset = database.create_dataset(
f"isochrones/{db_tags[j]}/age", data=iso_data[:, 0]
) # (Myr)
database.create_dataset(
f"isochrones/{db_tags[j]}/mass", data=iso_data[:, 1]
) # (Mjup)
database.create_dataset(
f"isochrones/{db_tags[j]}/log_lum", data=iso_data[:, 2]
) # log(L/Lsun)
database.create_dataset(
f"isochrones/{db_tags[j]}/teff", data=iso_data[:, 3]
) # (K)
database.create_dataset(
f"isochrones/{db_tags[j]}/log_g", data=iso_data[:, 4]
) # log(g)
database.create_dataset(
f"isochrones/{db_tags[j]}/radius", data=iso_data[:, 5]
) # (Rjup)
dset.attrs["model"] = "saumon2008"
print(" [DONE]")
print(f"Database tag: {db_tags[j]}")
