sfh['t2'] = 10.**sfh['t2']
sfh['sfr'][0] *= 1 - (sfh['t1'][0]/sfh['t2'][0])
sfh[0]['t1'] = 0.
mtot = ((sfh['t2'] - sfh['t1']) * sfh['sfr']).sum()
# choose lookback times to generate
lookback_time = [0, 1e8]
# generate a high temporal resolution SFH, with bursts if f_burst > 0
lt, sfr, tb = bsp.burst_sfh(sfh=sfh, fwhm_burst=fwhm_burst, f_burst=f_burst, contrast=contrast)
# get the interpolation weights. This does not have to be run in
# general (it is run interior to bursty_sps) unless you are
# debugging or for plotting purposes
aw = bsp.sfh_weights(lt, sfr, 10**sps.ssp_ages, lookback_time=lookback_time)
# get the intrinsic spectra at the lookback_times specified.
wave, spec, mstar, _ = bsp.bursty_sps(lt, sfr, sps, lookback_time=lookback_time)
# get reddened spectra, Calzetti foreground screen
wave, red_spec, _, lir = bsp.bursty_sps(lt, sfr, sps,
lookback_time=lookback_time,
dust_curve=attenuation.calzetti,
av=1, dav=0)
# get reddened spectra, SexA differntial extinction plus SMC
dav = sexAmodel(davmax=1.0, ages=10**sps.ssp_ages)
wave, red_spec, _, lir = bsp.bursty_sps(lt, sfr, sps,
lookback_time=lookback_time,
dust_curve=attenuation.smc,
av=1, dav=dav)
# Get intrinsic spectrum including an age metallicity relation
def amr(ages, **extras):
"""This should take an array of ages (linear years) and return an array
sfh["t2"] = 10.0 ** sfh["t2"]
sfh["sfr"][0] *= 1 - (sfh["t1"][0] / sfh["t2"][0])
sfh[0]["t1"] = 0.0
mtot = ((sfh["t2"] - sfh["t1"]) * sfh["sfr"]).sum()
# choose lookback times to generate
lookback_time = [0, 1e8]
# generate a high temporal resolution SFH, with bursts if f_burst > 0
lt, sfr, tb = bsp.burst_sfh(sfh=sfh, fwhm_burst=fwhm_burst, f_burst=f_burst, contrast=contrast)
# get the interpolation weights. This does not have to be run in
# general (it is run interior to bursty_sps) unless you are
# debugging or for plotting purposes
aw = bsp.sfh_weights(lt, sfr, 10 ** sps.ssp_ages, lookback_time=lookback_time)
# get the intrinsic spectra at the lookback_times specified.
wave, spec, mstar, _ = bsp.bursty_sps(lt, sfr, sps, lookback_time=lookback_time)
# get reddened spectra, Calzetti foreground screen
wave, red_spec, _, lir = bsp.bursty_sps(
lt, sfr, sps, lookback_time=lookback_time, dust_curve=attenuation.calzetti, av=1, dav=0
)
# get reddened spectra, SexA differntial extinction plus SMC
dav = sexAmodel(davmax=1.0, ages=10 ** sps.ssp_ages)
wave, red_spec, _, lir = bsp.bursty_sps(
lt, sfr, sps, lookback_time=lookback_time, dust_curve=attenuation.smc, av=1, dav=dav
)
# Get intrinsic spectrum including an age metallicity relation
def amr(ages, **extras):
"""This should take an array of ages (linear years) and return an array
of metallicities (units of log(Z/Z_sun)
"""
av, dav = 0.1, 0.1
#read the binned sfh, put in linear units
sfh = utils.load_angst_sfh(filen)
sfh['t1'] = 10.**sfh['t1']
sfh['t2'] = 10.**sfh['t2']
sfh['sfr'][0] *= 1 - (sfh['t1'][0]/sfh['t2'][0])
sfh[0]['t1'] = 0.
mtot = ((sfh['t2'] - sfh['t1']) * sfh['sfr']).sum()
#convert into a high resolution sfh, with *no* intrabin sfr variations
lt, sfr, fb = bsp.burst_sfh(fwhm_burst=0.05, f_burst=0., contrast=1.,
sfh=sfh, bin_res=20.)
# Get the attenuated spectra
# and IR luminosities
wave, spec, mass, lir = bsp.bursty_sps(lt, sfr, sps, lookback_time=t_lookback,
av=av, dav=dav, nsplit=30)
for j, jt in enumerate(t_lookback):
pl.plot(wave, spec[j,:] * wave * bsp.to_cgs,
label = '{0} @ {1}'.format(objname[i], tl[j]))
# Project onto filters to get
# absolute magnitudes
mags = observate.getSED(wave, spec * bsp.to_cgs, filterlist = filterlist)
# Get the intrinsic spectrum and project onto filters
wave, spec, mass, _ = bsp.bursty_sps(lt, sfr, sps, lookback_times=t_lookback,
av=None, dav=None)
mags_int = observate.getSED(wave, spec * bsp.to_cgs, filterlist = filterlist)
pl.xlim(1e3, 1e4)
sfh[0]['t1'] = 0.
mtot = ((sfh['t2'] - sfh['t1']) * sfh['sfr']).sum()
#convert into a high resolution sfh, with *no* intrabin sfr variations
lt, sfr, fb = bsp.burst_sfh(fwhm_burst=0.05,
f_burst=0.,
contrast=1.,
sfh=sfh,
bin_res=20.)
# Get the attenuated spectra
# and IR luminosities
wave, spec, mass, lir = bsp.bursty_sps(lt,
sfr,
sps,
lookback_time=t_lookback,
av=av,
dav=dav,
nsplit=30)
for j, jt in enumerate(t_lookback):
pl.plot(wave,
spec[j, :] * wave * bsp.to_cgs,
label='{0} @ {1}'.format(objname[i], tl[j]))
# Project onto filters to get
# absolute magnitudes
mags = observate.getSED(wave, spec * bsp.to_cgs, filterlist=filterlist)
# Get the intrinsic spectrum and project onto filters
wave, spec, mass, _ = bsp.bursty_sps(lt,
sfr,
