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make_xs_ext.py
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make_xs_ext.py
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#! /usr/bin/env python
"""
make_xs_ext.py -- A generic python script for making the extinction
cross-section for use in XSPEC model ISMdust.
Modify the magic numbers at the beginning of this file to change the
grain size distribution and other dust properties.
Created by: Lia Corrales ([email protected])
2015.11.18
"""
import numpy as np
import matplotlib.pyplot as plt
from astropy.io import fits
from scipy.interpolate import interp1d
import datetime
import multiprocessing
import os
import sys
## Requires installation of github.com/eblur/dust
import dust
import sigma_scat as ss
##-------------- Magic numbers, feel free to change -------------------##
## Silicate grain properties
_amin_s = 0.005
_amax_s = 0.3 # min and max grain radius [um]
_p_s = 3.5 # power law slope for grain size distribution
_rho_s = 3.8 # dust grain density [g cm^-3]
_silfile = 'silicate_xs.fits'
## Graphite grain properties
_amin_g = 0.005
_amax_g = 0.3 # min and max grain radius [um]
_p_g = 3.5 # power law slope for grain size distribution
_rho_g = 2.2 # dust grain density [g cm^-3]
_grafile = 'graphite_xs.fits'
_smooth_graphite_xs = True
# ^ Change to False to remove power law approximation
# on high E side of graphite cross section
_myname = '[email protected]'
_outdir = 'edge_files/' # file output directory
##-------------- Do not change these values --------------------------##
_mdust = 1.e-4 # g cm^-2
_na = 50 # number of grain sizes to use in distribution
## Astrophysical constants (Carroll & Ostlie)
_c = 2.99792458e10 # cm s^-1
_h = 6.6260755e-27 # erg s
_keV = 1.60217733e-9 # erg/keV
_angs = 1.e-8 # cm/angs
_hc = (_h*_c) / (_keV*_angs) # keV angs
## Final energy grid to use
## NOTE: ismdust model will break if you change the number of elements in the grid
_dangs = 0.005
_AGRID = np.arange(1.0,130.0,_dangs) # wavelength [angs]
_EGRID = _hc / (_AGRID[::-1]) # keV
_FINAL_FILE = 'xs_ext_grid.fits'
print("Creating a final energy grid of length %d" % (len(_EGRID)) )
_egrid_lores = np.logspace(-1.3, 1.1, 100.0)
# Energy grids for particular edges
_ANGSTROMS_OK = np.linspace(22.0, 28.0, 1200)
_ANGSTROMS_FeL = np.linspace(15.0, 21.0, 1200)
_ANGSTROMS_MgSi = np.linspace(5.0, 11.0, 1200)
_ANGSTROMS_CK = np.linspace(35, 48, 2600)
##-------------- Supporting structures and functions -----------------##
class Xsect(object):
def __init__(self, filename):
data = fits.open(filename)[1].data
self.energy = data['energy']
self.tauext = data['ext']
def __call__(self, e):
result = interp1d(self.energy, self.tauext)
return result(e)
def _insert_edge_grid(lores_grid, edge_grid):
emin = edge_grid[0]
emax = edge_grid[-1]
result = np.array([])
result = np.append(result, lores_grid[lores_grid < emin])
result = np.append(result, edge_grid)
result = np.append(result, lores_grid[lores_grid > emax])
return result
def _write_all_xs_fits(filename, egrid, xs_ext, xs_sca, params, clobber=True):
amin, amax, p, rho, mdust, gtype = params
col1 = fits.Column(name='energy', format='E', array=egrid)
col2 = fits.Column(name='angstroms', format='E', array=_hc/egrid)
col3 = fits.Column(name='ext', format='E', array=xs_ext)
col4 = fits.Column(name='sca', format='E', array=xs_sca)
col5 = fits.Column(name='abs', format='E', array=xs_ext-xs_sca)
cols = fits.ColDefs([col1,col2,col3,col4,col5])
tbhdu = fits.BinTableHDU.from_columns(cols)
#tbhdu.writeto(filename)
prihdr = fits.Header()
prihdr['AMIN'] = "%.3f" % (amin)
prihdr['AMAX'] = "%.3f" % (amax)
prihdr['P'] = "%.3f" % (p)
prihdr['RHO'] = "%.3f" % (rho)
prihdr['MDUST'] = "%.2e" % (mdust)
prihdr['GTYPE'] = gtype
prihdr['COMMENT'] = "Created by %s on %s" % (_myname, datetime.date.today())
prihdu = fits.PrimaryHDU(header=prihdr)
thdulist = fits.HDUList([prihdu, tbhdu])
thdulist.writeto(filename, clobber=clobber)
return
def _dustspec(params):
amin, amax, p, rho, mdust, gtype = params
radii = dust.Dustdist(rad=np.linspace(amin,amax,_na), p=p, rho=rho)
return dust.Dustspectrum(md=_mdust, rad=radii)
def _tau_scat_E( E, params ):
amin, amax, p, rho, mdust, gtype = params
result = ss.Kappascat(E=E, dist=_dustspec(params), scatm=ss.makeScatmodel('Mie',gtype))
return result.kappa[0] * mdust
def _tau_ext_E( E, params ):
amin, amax, p, rho, mdust, gtype = parmas
result = ss.Kappaext(E=E, dist=_dustspec(params), scatm=ss.makeScatmodel('Mie',gtype))
return result.kappa[0] * mdust
##-------------- Compute silicate values --------------##
def silicate_xs( nproc=4 ):
egrid_sil = np.copy(_egrid_lores)
for edge in [_ANGSTROMS_OK, _ANGSTROMS_FeL, _ANGSTROMS_MgSi]:
egrid_sil = _insert_edge_grid(egrid_sil, _hc/edge[::-1])
print(egrid_sil)
sil_params = [_amin_s, _amax_s, _p_s, _rho_s, _mdust, 'Silicate']
print("Making Silicate cross section with\n\tamin=%.3f\n\tamax=%.3f\n\tp=%.2f\n\trho=%.2f" \
% (_amin_s, _amax_s, _p_s, _rho_s) )
print("Output will be sent to %s" % (_outdir+_silfile))
"""
def _tau_sca(E):
result = ss.Kappascat(E=E, dist=_dustspec(sil_params), scatm=ss.makeScatmodel('Mie','Silicate'))
return result.kappa[0] * _mdust
def _tau_ext(E):
result = ss.Kappaext(E=E, dist=_dustspec(sil_params), scatm=ss.makeScatmodel('Mie','Silicate'))
return result.kappa[0] * _mdust
pool = multiprocessing.Pool(processes=nproc)
sca_sil = pool.map(_tau_sca, egrid_sil)
ext_sil = pool.map(_tau_ext, egrid_sil)
pool.close()"""
Ksca_sil = ss.Kappascat(E=egrid_sil, dist=_dustspec(sil_params), scatm=ss.makeScatmodel('Mie','Silicate'))
Kext_sil = ss.Kappaext(E=egrid_sil, dist=_dustspec(sil_params), scatm=ss.makeScatmodel('Mie','Silicate'))
sca_sil = Ksca_sil.kappa * _mdust
ext_sil = Kext_sil.kappa * _mdust
_write_all_xs_fits(_outdir+_silfile, egrid_sil, ext_sil, sca_sil, sil_params)
return
##-------------- Compute graphite values --------------##
def graphite_xs( nproc=4 ):
egrid_gra = np.copy(_egrid_lores)
egrid_gra = _insert_edge_grid(egrid_gra, _hc/_ANGSTROMS_OK[::-1])
gra_params = [_amin_g, _amax_g, _p_g, _rho_g, _mdust, 'Graphite']
print("Making Graphite cross section with\n\tamin=%.3f\n\tamax=%.3f\n\tp=%.2f\n\trho=%.2f" \
% (_amin_g, _amax_g, _p_g, _rho_g))
print("Output will be sent to %s" % (_outdir+_grafile))
"""
def _tau_sca(E):
result = ss.Kappascat(E=E, dist=_dustspec(gra_params), scatm=ss.makeScatmodel('Mie','Graphite'))
return result.kappa[0] * _mdust
def _tau_ext(E):
result = ss.Kappascat(E=E, dist=_dustspec(gra_params), scatm=ss.makeScatmodel('Mie','Graphite'))
return result.kappa[0]] * _mdust
pool = multiprocessing.Pool(processes=nproc)
sca_gra = pool.map(_tau_sca, egrid_gra)
ext_sil = pool.map(_tau_ext, egrid_gra)
pool.close()"""
Ksca_gra = ss.Kappascat(E=egrid_gra, dist=_dustspec(gra_params), scatm=ss.makeScatmodel('Mie','Graphite'))
Kext_gra = ss.Kappaext(E=egrid_gra, dist=_dustspec(gra_params), scatm=ss.makeScatmodel('Mie','Graphite'))
sca_gra = Ksca_gra.kappa * _mdust
ext_gra = Kext_gra.kappa * _mdust
# smooth the xs behavior for energies > esmooth
def _smooth_xs(esmooth, xs, pslope):
ipow = np.where(egrid_gra >= esmooth)[0] # closest value to the desired esmooth value
result = np.copy(xs)
result[ipow] = xs[ipow[0]] * np.power(egrid_gra[ipow]/egrid_gra[ipow[0]], pslope)
return result
if _smooth_graphite_xs:
ESMOOTH, PSCA, PABS = 1.0, -2.0, -2.9 # determined by hand
print("Smoothing Graphite cross section with\n\tp=%.2f (scattering)\n\tp=%.2f (absorption)" % (PSCA,PABS))
new_sca_gra = _smooth_xs(ESMOOTH, sca_gra, PSCA)
new_abs_gra = _smooth_xs(ESMOOTH, ext_gra-sca_gra, PABS)
new_ext_gra = new_sca_gra + new_abs_gra
_write_all_xs_fits(_outdir+_grafile, egrid_gra, new_ext_gra, new_sca_gra, gra_params)
else:
_write_all_xs_fits(_outdir+_grafile, egrid_gra, ext_gra, sca_gra, gra_params)
return
##-------------- Combine both into one fits file --------------##
def make_xs_fits(clobber=True):
sil = Xsect(_outdir+_silfile)
gra = Xsect(_outdir+_grafile)
col1 = fits.Column(name='energy', format='E', array=_EGRID*1.e3) # units of eV
col2 = fits.Column(name='sil_ext', format='E', array=sil(_EGRID))
col3 = fits.Column(name='gra_ext', format='E', array=gra(_EGRID))
cols = fits.ColDefs([col1,col2,col3])
tbhdu = fits.BinTableHDU.from_columns(cols)
#tbhdu.writeto(filename)
prihdr = fits.Header()
prihdr['SIL_FILE'] = "%s" % (_silfile)
prihdr['GRA_FILE'] = "%s" % (_grafile)
prihdr['COMMENT'] = "Created by %s on %s" % (_myname, datetime.date.today())
prihdu = fits.PrimaryHDU(header=prihdr)
thdulist = fits.HDUList([prihdu, tbhdu])
thdulist.writeto(_outdir+_FINAL_FILE, clobber=clobber)
return
##-------------- Main file execution ---------------------------##
if __name__ == '__main__':
args = sys.argv
print os.environ['PYTHONPATH']
if 'sil' in args:
#print('silicate on')
silicate_xs()
if 'gra' in args:
#print('graphite on')
graphite_xs()
if 'combine' in args:
#print('combine on')
make_xs_fits()