def plot_tacc_Mstar_median(files, z, axs, snapnum, i, on):
add = sims[i]
Mstar, tacc, Type, Age, Z = get_vals(files, z, axs, snapnum, i, on)
xx, yy, yy_up, yy_low = create_out.out_median(Mstar, tacc, Type, z)
xx = np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
make_fig.fig_median(axs, z, xx, yy, yy_up, yy_low, i)
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)
axs.set_yticks(yticks)
return add
def plot_Mstar_DTM_median(files, z, axs, snapnum, i, on):
add = sims[i]
Mstar, Mratio, Type, Age, Mcg, Mmet = get_vals(files, z, axs, snapnum, i,
on)
xx, yy, yy_up, yy_low = create_out.out_median(Mstar, Mratio, Type, z)
xx = np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
make_fig.fig_median(axs, z, xx, yy, yy_up, yy_low, i)
return add
def plot_O_H_vs_DTM_median(files, z, axs, snapnum, i, on):
add, met, Mratio, Type, Age = get_vals(files, z, axs, snapnum, i, on)
xx, yy, yy_up, yy_low = create_out.out_median(met, Mratio, Type, z)
xx = 12 + np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
make_fig.fig_median(axs, z, xx, yy, yy_up, yy_low)
xlim = [7.5, 10.5]
ylim = [-2.9, 0]
xticks = [8, 9, 10]
axs.set_xlim(xlim)
axs.set_ylim(ylim)
axs.set_xticks(xticks)
return add
def plot_O_H_vs_Dust_median(files, z, axs, snapnum, i, on):
add, met, Mdust, Type, Age = get_vals(files, z, axs, snapnum, i, on)
xx, yy, yy_up, yy_low = create_out.out_median(met, Mdust, Type, z)
xx = 12 + np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
make_fig.fig_median(axs, z, xx, yy, yy_up, yy_low, 1)
xlim = [6, 10.5]
ylim = [0.1, 6.2]
xticks = [6, 7, 8, 9, 10]
axs.set_xlim(xlim)
axs.set_ylim(ylim)
axs.set_xticks(xticks)
return add
def plot_DGR_Mstar_median(files, z, axs, snapnum, i, on):
add = sims[i]
Mstar, Mratio, Type, Age = get_vals(files, z, axs, snapnum, i, on)
xx, yy, yy_up, yy_low = create_out.out_median(Mstar, Mratio, Type, z)
xx = np.log10(xx)
yy = np.log10(yy)
yy_up = np.log10(yy_up)
yy_low = np.log10(yy_low)
make_fig.fig_med(axs, z, xx, yy, yy_up, yy_low, i)
xlim = [7.5, 12.7]
ylim = [-7, -0.3]
xticks = [8, 9, 10, 11, 12]
axs.set_xlim(xlim)
axs.set_ylim(ylim)
axs.set_xticks(xticks)
return add