def do_process(teffs, loggs, ebvs, zs, rvs, index, arr):
output = np.zeros((len(responses) + 1, len(teffs)))
c0 = time.time()
N = len(teffs)
for i, (teff, logg, ebv, z, rv,
ind) in enumerate(zip(teffs, loggs, ebvs, zs, rvs, index)):
if i % 100 == 0:
dt = time.time() - c0
print("ETA", index[0], (N - i) / 100. * dt / 3600., 'hr')
c0 = time.time()
#-- get model SED and absolute luminosity
model.set_defaults(z=z)
wave, flux = model.get_table(teff, logg)
Labs = model.luminosity(wave, flux)
flux_ = reddening.redden(flux,
wave=wave,
ebv=ebv,
rtype='flux',
law=law,
Rv=rv)
#-- calculate synthetic fluxes
output[0, i] = ind
output[1:, i] = model.synthetic_flux(wave,
flux_,
responses,
units=units)
arr.append(output)
def do_ebv_process(ebvs,arr,responses):
logger.debug('EBV: %s-->%s (%d)'%(ebvs[0],ebvs[-1],len(ebvs)))
for ebv in ebvs:
flux_ = reddening.redden(flux,wave=wave,ebv=ebv,rtype='flux',law=law,Rv=Rv)
#-- calculate synthetic fluxes
synflux = model.synthetic_flux(wave,flux_,responses,units=units)
arr.append([np.concatenate(([ebv],synflux))])
logger.debug("Finished EBV process (len(arr)=%d)"%(len(arr)))
def do_process(teffs,loggs,ebvs,zs,rvs,index,arr):
output = np.zeros((len(responses)+1,len(teffs)))
c0 = time.time()
N = len(teffs)
for i,(teff,logg,ebv,z,rv,ind) in enumerate(zip(teffs,loggs,ebvs,zs,rvs,index)):
if i%100==0:
dt = time.time()-c0
print "ETA",index[0],(N-i)/100.*dt/3600.,'hr'
c0 = time.time()
#-- get model SED and absolute luminosity
model.set_defaults(z=z)
wave,flux = model.get_table(teff,logg)
Labs = model.luminosity(wave,flux)
flux_ = reddening.redden(flux,wave=wave,ebv=ebv,rtype='flux',law=law,Rv=rv)
#-- calculate synthetic fluxes
output[0,i] = ind
output[1:,i] = model.synthetic_flux(wave,flux_,responses,units=units)
arr.append(output)
def get_table(teff=None,
logg=None,
ebv=None,
vrad=None,
star=None,
wave_units='AA',
flux_units='erg/cm2/s/AA/sr',
**kwargs):
"""
Retrieve the specific intensity of a model atmosphere.
ebv is reddening
vrad is radial velocity: positive is redshift, negative is blueshift (km/s!)
extra kwargs are for reddening
You get limb angles, wavelength and a table. The shape of the table is
(N_wave,N_mu).
WARNING: wave and flux units cannot be specificed for the moment.
>>> mu,wave,table = get_table(10000,4.0)
>>> p = pl.figure()
>>> ax1 = pl.subplot(221)
>>> p = pl.title('E(B-V)=0, vrad=0')
>>> ax = pl.gca()
>>> ax.set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
>>> p = pl.xlim(700,15000)
>>> p = pl.ylim(1e3,1e8)
>>> mu,wave,table = get_table(10000,4.0,ebv=0.5)
>>> p = pl.subplot(222,sharex=ax1,sharey=ax1)
>>> p = pl.title('E(B-V)=0.5, vrad=0')
>>> ax = pl.gca()
>>> ax.set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
>>> p = pl.xlim(700,15000)
>>> p = pl.ylim(1e3,1e8)
>>> mu,wave,table = get_table(10000,4.0,vrad=-1000.)
>>> p = pl.subplot(223,sharex=ax1,sharey=ax1)
>>> p = pl.title('E(B-V)=0., vrad=-10000.')
>>> ax = pl.gca()
>>> ax.set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
>>> p = pl.xlim(700,15000)
>>> p = pl.ylim(1e3,1e8)
>>> mu,wave,table = get_table(10000,4.0,vrad=-1000.,ebv=0.5)
>>> p = pl.subplot(224,sharex=ax1,sharey=ax1)
>>> p = pl.title('E(B-V)=0.5, vrad=-10000.')
>>> ax = pl.gca()
>>> ax.set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
>>> p = pl.xlim(700,15000)
>>> p = pl.ylim(1e3,1e8)
>>> mu,wave,table = get_table(10050,4.12)
>>> p = pl.figure()
>>> pl.gca().set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
@param teff: effective temperature (K)
@type teff: float
@param logg: log surface gravity (cgs, dex)
@type logg: float
@param ebv: reddening (mag)
@type ebv: float
@param vrad: radial velocity (for doppler shifting) (km/s)
@type vrad: float
@return: mu angles, wavelengths, table (Nwave x Nmu)
@rtype: array, array, array
"""
#-- get the FITS-file containing the tables
gridfile = get_file(**kwargs)
#-- read the file:
ff = pyfits.open(gridfile)
teff = float(teff)
logg = float(logg)
#-- if we have a grid model, no need for interpolation
try:
#-- extenstion name as in fits files prepared by Steven
mod_name = "T%05d_logg%01.02f" % (teff, logg)
mod = ff[mod_name]
mu = np.array(mod.columns.names[1:], float)
table = np.array(mod.data.tolist())[:, 1:]
wave = mod.data.field('wavelength')
logger.debug('Model LD taken directly from file (%s)' %
(os.path.basename(gridfile)))
except KeyError:
mu, wave, teffs, loggs, flux, flux_grid = get_grid_mesh(**kwargs)
logger.debug('Model LD interpolated from grid %s (%s)' %
(os.path.basename(gridfile), kwargs))
wave = wave + 0.
table = flux_grid(np.log10(teff), logg) + 0.
ff.close()
#-- velocity shift if necessary
if vrad is not None and vrad != 0:
cc = constants.cc / 1000. #speed of light in km/s
for i in range(len(mu)):
flux_shift = tools.doppler_shift(wave, vrad, flux=table[:, i])
table[:, i] = flux_shift - 5. * vrad / cc * table[:, i]
#-- redden if necessary
if ebv is not None and ebv > 0:
for i in range(len(mu)):
table[:, i] = reddening.redden(table[:, i],
wave=wave,
ebv=ebv,
rtype='flux',
**kwargs)
#-- that's it!
return mu, wave, table
def get_table(
teff=None, logg=None, ebv=None, vrad=None, star=None, wave_units="AA", flux_units="erg/cm2/s/AA/sr", **kwargs
):
"""
Retrieve the specific intensity of a model atmosphere.
ebv is reddening
vrad is radial velocity: positive is redshift, negative is blueshift (km/s!)
extra kwargs are for reddening
You get limb angles, wavelength and a table. The shape of the table is
(N_wave,N_mu).
WARNING: wave and flux units cannot be specificed for the moment.
>>> mu,wave,table = get_table(10000,4.0)
>>> p = pl.figure()
>>> ax1 = pl.subplot(221)
>>> p = pl.title('E(B-V)=0, vrad=0')
>>> ax = pl.gca()
>>> ax.set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
>>> p = pl.xlim(700,15000)
>>> p = pl.ylim(1e3,1e8)
>>> mu,wave,table = get_table(10000,4.0,ebv=0.5)
>>> p = pl.subplot(222,sharex=ax1,sharey=ax1)
>>> p = pl.title('E(B-V)=0.5, vrad=0')
>>> ax = pl.gca()
>>> ax.set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
>>> p = pl.xlim(700,15000)
>>> p = pl.ylim(1e3,1e8)
>>> mu,wave,table = get_table(10000,4.0,vrad=-1000.)
>>> p = pl.subplot(223,sharex=ax1,sharey=ax1)
>>> p = pl.title('E(B-V)=0., vrad=-10000.')
>>> ax = pl.gca()
>>> ax.set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
>>> p = pl.xlim(700,15000)
>>> p = pl.ylim(1e3,1e8)
>>> mu,wave,table = get_table(10000,4.0,vrad=-1000.,ebv=0.5)
>>> p = pl.subplot(224,sharex=ax1,sharey=ax1)
>>> p = pl.title('E(B-V)=0.5, vrad=-10000.')
>>> ax = pl.gca()
>>> ax.set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
>>> p = pl.xlim(700,15000)
>>> p = pl.ylim(1e3,1e8)
>>> mu,wave,table = get_table(10050,4.12)
>>> p = pl.figure()
>>> pl.gca().set_color_cycle([pl.cm.spectral(i) for i in np.linspace(0,1,len(mu))])
>>> p = pl.loglog(wave,table)
@param teff: effective temperature (K)
@type teff: float
@param logg: log surface gravity (cgs, dex)
@type logg: float
@param ebv: reddening (mag)
@type ebv: float
@param vrad: radial velocity (for doppler shifting) (km/s)
@type vrad: float
@return: mu angles, wavelengths, table (Nwave x Nmu)
@rtype: array, array, array
"""
# -- get the FITS-file containing the tables
gridfile = get_file(**kwargs)
# -- read the file:
ff = pyfits.open(gridfile)
teff = float(teff)
logg = float(logg)
# -- if we have a grid model, no need for interpolation
try:
# -- extenstion name as in fits files prepared by Steven
mod_name = "T%05d_logg%01.02f" % (teff, logg)
mod = ff[mod_name]
mu = np.array(mod.columns.names[1:], float)
table = np.array(mod.data.tolist())[:, 1:]
wave = mod.data.field("wavelength")
logger.debug("Model LD taken directly from file (%s)" % (os.path.basename(gridfile)))
except KeyError:
mu, wave, teffs, loggs, flux, flux_grid = get_grid_mesh(**kwargs)
logger.debug("Model LD interpolated from grid %s (%s)" % (os.path.basename(gridfile), kwargs))
wave = wave + 0.0
table = flux_grid(np.log10(teff), logg) + 0.0
ff.close()
# -- velocity shift if necessary
if vrad is not None and vrad != 0:
cc = constants.cc / 1000.0 # speed of light in km/s
for i in range(len(mu)):
flux_shift = tools.doppler_shift(wave, vrad, flux=table[:, i])
table[:, i] = flux_shift - 5.0 * vrad / cc * table[:, i]
# -- redden if necessary
if ebv is not None and ebv > 0:
for i in range(len(mu)):
table[:, i] = reddening.redden(table[:, i], wave=wave, ebv=ebv, rtype="flux", **kwargs)
# -- that's it!
return mu, wave, table