def trilegal_metals(chi2_location='draft_run', band='opt', dry_run=False,
model='nov13', model_src='default', old=False, feh=False):
if chi2_location == 'draft_run':
chi2_location = snap_src + '/models/varysfh/match-hmc/'
chi2files = rsp.fileIO.get_files(chi2_location, '*%s_*chi2.dat' % model)
# I do gaussian chi2 too, not just poisson...
chi2files = [c for c in chi2files if not 'gauss' in c][::-1]
# get the tpagb masses
(mhs, norm) = zip(*[tpagb_masses(c, band=band, dry_run=dry_run,
model_src=model_src, mass=False,
old=old) for c in chi2files])
ts = [os.path.split(c)[1].split('_')[3] for c in chi2files]
targets = galaxy_tests.ancients()
tinds = [ts.index(t.lower()) for t in targets]
targets = np.array(ts)[tinds]
from ResolvedStellarPops.convertz import convertz
if feh is True:
ind = 4
else:
ind = 1
zs = np.array([convertz(mh=i)[ind] for i in mhs])
for i, target in enumerate(targets):
print '%.4f %.4f %.4f %s ' % (np.min(zs[i]), np.median(zs[i]),
np.max(zs[i]), target)
def _make_trilegal_sfh(self, random_sfr=True, random_z=False,
zdisp=True, random_mass=True, outfile='default'):
if outfile == 'default':
outfile = os.path.join(self.base,
self.name.replace('dat', '.sfr'))
if random_z is False:
feh = self.data.feh
else:
feh = self.random_draw_within_uncertainty('feh')
z = convertz.convertz(feh=feh)[1]
# this could be done better...
# even dispersions
zmin = convertz.convertz(feh=self.data.feh_errm)[1]
zmax = convertz.convertz(feh=self.data.feh_errp)[1]
zdisp = [np.mean([(zmax[i] - z[i]),
(z[i] - zmin[i])]) for i in range(len(z))]
half_zbin = np.diff(z)/2.
half_zbin = np.append(half_zbin, half_zbin[-1])
z1 = z - half_zbin
z2 = z + half_zbin
age1a = 10 ** (self.data.lagei)
age1p = 1.0 * 10 ** (self.data.lagei + 0.0001)
age2a = 1.0 * 10 ** self.data.lagef
age2p = 1.0 * 10 ** (self.data.lagef + 0.0001)
if random_sfr is False:
sfr = self.data.sfr
else:
sfr = self.random_draw_within_uncertainty('sfr')
if zdisp is True:
zdisp = z * np.median(zdisp[np.nonzero(zdisp)])
#zdisp = self.data.mh_disp
fmt = '%.4e %.3e %.4f %.4f \n'
else:
zdisp = [''] * len(z)
fmt = '%.4e %.3e %.4f %s\n'
fmt = '%.4e %.3f %.4f %.4f\n'
with open(outfile, 'w') as out:
for i in range(len(sfr)):
out.write(fmt % (age1a[i], 0.0, z1[i], zdisp[i]))
out.write(fmt % (age1p[i], sfr[i], z1[i], zdisp[i]))
out.write(fmt % (age2a[i], sfr[i], z2[i], zdisp[i]))
out.write(fmt % (age2p[i], 0.0, z2[i], zdisp[i]))
out.write(fmt % (age1a[i], 0.0, z2[i], zdisp[i]))
out.write(fmt % (age1p[i], sfr[i], z2[i], zdisp[i]))
out.write(fmt % (age2a[i], sfr[i], z1[i], zdisp[i]))
out.write(fmt % (age2p[i], 0.0, z1[i], zdisp[i]))
mass = self.random_draw_within_uncertainty('mass')
object_mass = scipy.integrate.simps(mass, self.data.lagei)
return outfile, object_mass