def plot_Mstar_DTM_age(files, z, axs, snapnum, i, on):
add = sims[i]
Mstar, Mratio, Type, Age, Mcg, Mmet = get_vals(files, z, axs, snapnum, i,
on)
x, y, xx, yy, yy_up, yy_low, den = create_out.out_age(
Mstar, Mratio, Type, Age, z)
x = np.log10(x)
y = np.log10(y)
xx = np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
p = make_fig.fig_age(axs, z, x, y, xx, yy, yy_up, yy_low, den)
xlim = [7.5, 11.5]
ylim = [-2.9, 0.5]
xticks = [8, 9, 10, 11]
axs.set_xlim(xlim)
axs.set_ylim(ylim)
axs.set_xticks(xticks)
return add, p, den
def plot_tacc_Mstar_age(files, z, axs, snapnum, i, on):
add = sims[i]
Mstar, tacc, Type, Age, Z = get_vals(files, z, axs, snapnum, i, on)
x, y, xx, yy, yy_up, yy_low, den = create_out.out_age(
Mstar, tacc, Type, Age, z)
x = np.log10(x)
y = np.log10(y)
xx = np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
p = make_fig.fig_age(axs, z, x, y, xx, yy, yy_up, yy_low, den)
xlim = [7.5, 11.7]
ylim = [5, 10.5]
xticks = [8, 9, 10, 11]
yticks = [5, 6, 7, 8, 9, 10]
axs.set_xlim(xlim)
axs.set_ylim(ylim)
axs.set_xticks(xticks)
return add, p, den
def plot_O_H_vs_Dust_age(files, z, axs, snapnum, i, on):
add, met, Mdust, Type, Age = get_vals(files, z, axs, snapnum, i, on)
x, y, xx, yy, yy_up, yy_low, den = create_out.out_age(
met, Mdust, Type, Age, z)
x = 12 + np.log10(x)
y = np.log10(y)
xx = 12 + np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
p = make_fig.fig_age(axs, z, x, y, xx, yy, yy_up, yy_low, den)
xlim = [7.5, 10.5]
ylim = [2.5, 10.5]
xticks = [8, 9, 10]
axs.set_xlim(xlim)
axs.set_ylim(ylim)
axs.set_xticks(xticks)
return add, p, den
def plot_Mstar_Mdust_age(files, z, axs, snapnum, i, on):
add = sims[i]
snap = snapnum[i][np.where(redshift == str(z))[0][0]]
try:
data = np.load('data/Mstar_{}_snap_{}.npz'.format(add, snap))
Mstar = data['Mstar']
data = np.load('data/Type_{}_snap_{}.npz'.format(add, snap))
Type = data['Type']
data = np.load('data/Age_{}_snap_{}.npz'.format(add, snap))
Age = data['Age']
data = np.load('data/DustColdGasDiff_elements_{}_snap_{}.npz'.format(
add, snap))
Mdust1 = data['DustColdGasDiff_elements']
data = np.load('data/DustColdGasClouds_elements_{}_snap_{}.npz'.format(
add, snap))
Mdust2 = data['DustColdGasClouds_elements']
except:
Mstar = (get_.get_var(files[i], 'StellarMass', snap) * 1e10) / h
if on and i == 0:
ok = np.where(Mstar >= 10**8.9)[0]
elif on and i == 1:
ok = np.logical_and(Mstar > 10**7.5, Mstar < 10**8.9)
else:
ok = np.array([True] * len(Mstar))
Mstar = Mstar[ok]
np.savez_compressed('data/Mstar_{}_snap_{}'.format(add, snap),
Mstar=Mstar)
Type = get_.get_var(files[i], 'Type', snap)[ok]
np.savez_compressed('data/Type_{}_snap_{}'.format(add, snap),
Type=Type)
Age = get_.get_var(files[i], 'MassWeightAge', snap)[ok]
np.savez_compressed('data/Age_{}_snap_{}'.format(add, snap), Age=Age)
Mdust1 = get_.get_var(files[i], 'DustColdGasDiff_elements', snap)[ok]
np.savez_compressed('data/DustColdGasDiff_elements_{}_snap_{}'.format(
add, snap),
DustColdGasDiff_elements=Mdust1)
Mdust2 = get_.get_var(files[i], 'DustColdGasClouds_elements', snap)[ok]
np.savez_compressed(
'data/DustColdGasClouds_elements_{}_snap_{}'.format(add, snap),
DustColdGasClouds_elements=Mdust2)
Mdust1 = np.nansum(Mdust1, axis=1)
Mdust2 = np.nansum(Mdust2, axis=1)
Mdust = Mdust1 + Mdust2
x, y, xx, yy, yy_up, yy_low, den = create_out.out_age(
Mstar, Mdust, Type, Age, z)
x = np.log10(x)
y = np.log10(y)
xx = np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
p = make_fig.fig_age(axs, z, x, y, xx, yy, yy_up, yy_low, den)
xlim = [7.5, 11.9]
ylim = [1.5, 10.8]
xticks = [8, 9, 10, 11]
axs.set_xlim(xlim)
axs.set_ylim(ylim)
axs.set_xticks(xticks)
return add, p, den