import numpy as np
from .stellib import AtmosphereLib
from .config import libsdir
from .simpletable import SimpleTable
try:
from astropy.io import fits as pyfits
except ImportError:
import pyfits
[docs]class BTSettl(AtmosphereLib):
"""
BT-Settl Library
References
----------
Paper: Few refereed publications
Older Ref = http://adsabs.harvard.edu/abs/2000ApJ...539..366A
Conference Proceedings:
http://adsabs.harvard.edu/abs/2016sf2a.conf..223A
http://adsabs.harvard.edu/abs/2012RSPTA.370.2765A
Files available at: https://phoenix.ens-lyon.fr/Grids/BT-Settl/
Current Library: AGSS2009 Abundances (due to grid availability)
Spectra rebinned to match Kurucz, and custom 2 Ang medium resolution
"""
def __init__(self, medres=True, *args, **kwargs):
self.name = 'BTSettl'
if medres:
self.source = libsdir + '/bt-settl.medres.grid.fits'
else:
self.source = libsdir + '/bt-settl.lowres.grid.fits'
self._load_()
AtmosphereLib.__init__(self, *args, **kwargs)
def _load_(self):
with pyfits.open(self.source) as f:
# load data
self._getWaveLength_(f)
self._getTGZ_(f)
self._getSpectra_(f)
self._getWaveLength_units(f)
def _getWaveLength_units(self, f):
self.wavelength_unit = 'angstrom'
def _getWaveLength_(self, f):
self._wavelength = f[0].data[-1]
def _getTGZ_(self, f):
self.grid = SimpleTable(f[1].data)
self.grid.header.update(f[1].header.items())
self.grid.header['NAME'] = 'TGZ'
def _getSpectra_(self, f):
self.spectra = f[0].data[:-1]
[docs] def bbox(self, dlogT=0.05, dlogg=0.25):
""" Boundary of BT-Settl library
Parameters
----------
dlogT: float
log-temperature tolerance before extrapolation limit
dlogg: float
log-g tolerance before extrapolation limit
Returns
-------
bbox: ndarray
(logT, logg) edges of the bounding polygon
"""
bbox = [(3.41497 - dlogT, 6.0 + dlogg),
(3.41497 - dlogT, -0.5 - dlogg),
(3.84510 + dlogT, -0.5 - dlogg),
(4.07918 + dlogT, 0.0 - dlogg),
(4.17609 + dlogT, 0.5 - dlogg),
(4.30103 + dlogT, 1.0 - dlogg),
(4.39794 + dlogT, 1.5 - dlogg),
(4.47712 + dlogT, 2.0 - dlogg),
(4.60206 + dlogT, 2.5 - dlogg),
(4.60206 + dlogT, 3.0 - dlogg),
(4.69897 + dlogT, 3.5 - dlogg),
(4.84510 + dlogT, 4.0 - dlogg),
(4.84510 + dlogT, 4.5 + dlogg),
(4.00000 + dlogT, 4.5 + dlogg),
(4.00000 + dlogT, 5.0 + dlogg),
(3.69897 + dlogT, 5.0 + dlogg),
(3.69897 + dlogT, 5.5 + dlogg),
(3.60206 + dlogT, 5.5 + dlogg),
(3.60206 + dlogT, 6.0 + dlogg),
(3.41497 - dlogT, 6.0 + dlogg)]
return np.array(bbox)
[docs] def get_interpolation_data(self):
""" interpolation needs alpha """
return np.array([self.logT, self.logg, self.logZ]).T
@property
def logT(self):
return self.grid['logT']
@property
def logg(self):
return self.grid['logg']
@property
def Teff(self):
return self.grid['Teff']
@property
def Z(self):
return self.grid['Z']
@property
def logZ(self):
return self.grid['logZ']
