def plot_H2_effect(sim, snap):
"""Load a simulation and plot its cddf"""
halo = myname.get_name(sim, True)
savefile = "boxhi_grid_noH2.hdf5"
ahalo = dp.PrettyBox(halo, snap, nslice=10, savefile=savefile, label=r"No $H_2$")
ahalo.plot_column_density(color="blue", ls="--", moment=True)
savefile = "boxhi_grid_H2.hdf5"
ahalo2 = dp.PrettyBox(halo, snap, nslice=10, savefile=savefile, label=r"$H_2$")
ahalo2.plot_column_density(color="red",moment=True)
# savefile = path.join(halo,"snapdir_"+str(snap).rjust(3,'0'),"boxhi_grid_H2-old.hdf5")
# ahalo2 = dp.PrettyBox(halo, snap, nslice=10, savefile=savefile)
# ahalo2.plot_column_density(color="green",moment=True)
dla_data.column_density_data(moment=True)
# dla_data.noterdaeme_12_data(path.join(path.dirname(__file__),"../dla_data"), moment=True)
plt.legend(loc=3)
plt.xlim(1e20,2e22)
plt.ylim(1e-5,0.1)
# plt.title("CDDF for "+labels[sim]+" at z="+str(redshifts[snap]))
save_figure(path.join(outdir, "cosmo"+str(sim)+"_H2_"+str(snap)))
plt.clf()
cddf_base = ahalo.column_density_function()
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0], np.log10(cddf[1]/cddf_base[1]), color=colors[sim], ls=lss[sim])
plt.ylim(-0.5,0.5)
tight_layout_wrapper()
ax = plt.gca()
ylab = ax.set_ylabel(r"$N_\mathrm{HI} f(N)$")
save_figure(path.join(outdir, "cosmo_rel"+str(sim)+"_H2_"+str(snap)))
plt.clf()
def plot_rel_res(sim):
"""Load and make a plot of the difference between two simulations"""
basel = myname.get_name(sim)
bases = myname.get_name(sim, box=10)
plt.figure(1)
for snap in (1, 3, 5):
base = dp.PrettyBox(basel, snap, nslice=10)
cddf_base = base.column_density_function()
ahalo2 = dp.PrettyBox(bases, snap, nslice=10)
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0], np.log10(cddf[1]/cddf_base[1]), color=colors[snap], ls=lss[snap])
if snap == 3:
plt.figure(3)
base.plot_column_density(color=colors[sim], ls=lss[sim], moment=True)
ahalo2.plot_column_density(color="grey", ls=lss[sim], moment=True)
dla_data.column_density_data(moment=True)
save_figure(path.join(outdir,"cosmo_res_cddf_z3_abs"))
plt.clf()
base.plot_halo_hist(Mmin=1e7,color=colors[sim])
ahalo2.plot_halo_hist(Mmin=1e7,color="grey")
plt.ylim(0,0.1)
save_figure(path.join(outdir,"cosmo_res_halohist"))
plt.clf()
plt.figure(1)
savefile = "boxhi_grid_noH2.hdf5"
base = dp.PrettyBox(basel, 3, nslice=10,savefile=savefile)
cddf_base = base.column_density_function()
savefile = "boxhi_grid_noH2.hdf5"
ahalo2 = dp.PrettyBox(bases, 3, nslice=10,savefile=savefile)
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0], np.log10(cddf[1]/cddf_base[1]), color=colors[0], ls=lss[0])
plt.ylim(-0.5,0.5)
save_figure(path.join(outdir,"cosmo_res_cddf_z"+str(sim)))
plt.clf()
def plot_UVB_effect():
"""Load a simulation and plot its cddf"""
for i in (0, 5, 7):
halo = myname.get_name(i, True)
ahalo = dp.PrettyBox(halo, 3, nslice=10)
ahalo.plot_column_density(color=colors[i], ls=lss[i], moment=True)
dla_data.column_density_data(moment=True)
save_figure(path.join(outdir, "cosmo_UVB_3"))
plt.clf()
def plot_UVB_effect():
"""Load a simulation and plot its cddf"""
for i in (0,5,7):
halo = myname.get_name(i, True)
ahalo = dp.PrettyBox(halo, 3, nslice=10)
ahalo.plot_column_density(color=colors[i], ls=lss[i],moment=True)
dla_data.column_density_data(moment=True)
save_figure(path.join(outdir, "cosmo_UVB_3"))
plt.clf()
def plot_H2_effect(sim, snap):
"""Load a simulation and plot its cddf"""
halo = "Cosmo"+str(sim)+"_V6_512"
savefile = path.join(base+halo,"snapdir_"+str(snap).rjust(3,'0'),"boxhi_grid.hdf5")
ahalo = dp.PrettyBox(base+halo, snap, nslice=10, savefile=savefile)
ahalo.plot_column_density(color="blue", ls="--")
del ahalo
savefile = path.join(base+halo,"snapdir_"+str(snap).rjust(3,'0'),"boxhi_grid_H2.hdf5")
ahalo = dp.PrettyBox(base+halo, snap, nslice=10, savefile=savefile)
ahalo.plot_column_density(color="red")
dla_data.column_density_data()
del ahalo
save_figure(path.join(outdir, "cosmo"+str(sim)+"_H2_"+str(snap)))
plt.clf()
def plot_grid_res():
"""The effect of a finer grid"""
halo = myname.get_name(7, True)
savefile = "boxhi_grid_cutoff_H2_32678.hdf5"
ahalo = dp.PrettyBox(halo, 5, nslice=30, savefile=savefile)
ahalo.plot_column_density(color="blue", ls="--", moment=True)
# savefile = path.join(halo,"snapdir_003/boxhi_grid_16384.hdf5")
ahalo2 = dp.PrettyBox(halo, 5, nslice=10)
ahalo2.plot_column_density(color="red", moment=True, ls="-.")
dla_data.column_density_data(moment=True)
save_figure(path.join(outdir, "cosmo7_grid_5"))
plt.clf()
cdf1 = ahalo.column_density_function()
cdf2 = ahalo2.column_density_function()
plt.semilogx(cdf1[0], cdf1[1] / cdf2[1], color="red", ls="-")
save_figure(path.join(outdir, "cosmo7_grid_5_rel"))
plt.clf()
def plot_grid_res():
"""The effect of a finer grid"""
halo = myname.get_name(7, True)
savefile = "boxhi_grid_cutoff_H2_32678.hdf5"
ahalo = dp.PrettyBox(halo, 5, nslice=30, savefile=savefile)
ahalo.plot_column_density(color="blue", ls="--", moment=True)
# savefile = path.join(halo,"snapdir_003/boxhi_grid_16384.hdf5")
ahalo2 = dp.PrettyBox(halo, 5, nslice=10)
ahalo2.plot_column_density(color="red",moment=True, ls="-.")
dla_data.column_density_data(moment=True)
save_figure(path.join(outdir, "cosmo7_grid_5"))
plt.clf()
cdf1 = ahalo.column_density_function()
cdf2 = ahalo2.column_density_function()
plt.semilogx(cdf1[0], cdf1[1]/cdf2[1], color="red", ls="-")
save_figure(path.join(outdir, "cosmo7_grid_5_rel"))
plt.clf()
def plot_rel_res(sim):
"""Load and make a plot of the difference between two simulations"""
basel = myname.get_name(sim)
bases = myname.get_name(sim, box=10)
plt.figure(1)
for snap in (1, 3, 5):
base = dp.PrettyBox(basel, snap, nslice=10)
cddf_base = base.column_density_function()
ahalo2 = dp.PrettyBox(bases, snap, nslice=10)
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0],
np.log10(cddf[1] / cddf_base[1]),
color=colors[snap],
ls=lss[snap])
if snap == 3:
plt.figure(3)
base.plot_column_density(color=colors[sim],
ls=lss[sim],
moment=True)
ahalo2.plot_column_density(color="grey", ls=lss[sim], moment=True)
dla_data.column_density_data(moment=True)
save_figure(path.join(outdir, "cosmo_res_cddf_z3_abs"))
plt.clf()
base.plot_halo_hist(Mmin=1e7, color=colors[sim])
ahalo2.plot_halo_hist(Mmin=1e7, color="grey")
plt.ylim(0, 0.1)
save_figure(path.join(outdir, "cosmo_res_halohist"))
plt.clf()
plt.figure(1)
savefile = "boxhi_grid_noH2.hdf5"
base = dp.PrettyBox(basel, 3, nslice=10, savefile=savefile)
cddf_base = base.column_density_function()
savefile = "boxhi_grid_noH2.hdf5"
ahalo2 = dp.PrettyBox(bases, 3, nslice=10, savefile=savefile)
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0],
np.log10(cddf[1] / cddf_base[1]),
color=colors[0],
ls=lss[0])
plt.ylim(-0.5, 0.5)
save_figure(path.join(outdir, "cosmo_res_cddf_z" + str(sim)))
plt.clf()
def plot_H2_effect(sim, snap):
"""Load a simulation and plot its cddf"""
halo = myname.get_name(sim, True)
savefile = "boxhi_grid_noH2.hdf5"
ahalo = dp.PrettyBox(halo,
snap,
nslice=10,
savefile=savefile,
label=r"No $H_2$")
ahalo.plot_column_density(color="blue", ls="--", moment=True)
savefile = "boxhi_grid_H2.hdf5"
ahalo2 = dp.PrettyBox(halo,
snap,
nslice=10,
savefile=savefile,
label=r"$H_2$")
ahalo2.plot_column_density(color="red", moment=True)
# savefile = path.join(halo,"snapdir_"+str(snap).rjust(3,'0'),"boxhi_grid_H2-old.hdf5")
# ahalo2 = dp.PrettyBox(halo, snap, nslice=10, savefile=savefile)
# ahalo2.plot_column_density(color="green",moment=True)
dla_data.column_density_data(moment=True)
# dla_data.noterdaeme_12_data(path.join(path.dirname(__file__),"../dla_data"), moment=True)
plt.legend(loc=3)
plt.xlim(1e20, 2e22)
plt.ylim(1e-5, 0.1)
# plt.title("CDDF for "+labels[sim]+" at z="+str(redshifts[snap]))
save_figure(path.join(outdir, "cosmo" + str(sim) + "_H2_" + str(snap)))
plt.clf()
cddf_base = ahalo.column_density_function()
cddf = ahalo2.column_density_function()
plt.semilogx(cddf_base[0],
np.log10(cddf[1] / cddf_base[1]),
color=colors[sim],
ls=lss[sim])
plt.ylim(-0.5, 0.5)
tight_layout_wrapper()
ax = plt.gca()
ylab = ax.set_ylabel(r"$N_\mathrm{HI} f(N)$")
save_figure(path.join(outdir, "cosmo_rel" + str(sim) + "_H2_" + str(snap)))
plt.clf()
# save_figure(path.join(outdir, "cosmo_7mass_metal"))
# plt.clf()
# plot_mass_metal(7,3)
# save_figure(path.join(outdir, "cosmo_7mass_metal3"))
# plt.clf()
# plot_rel_res(5)
plot_grid_res()
# plot_UVB_effect()
plot_all_rho(simlist)
# plot_cutoff()
#Make a plot of the column density functions.
for ss in simlist: #xrange(6):
plot_cddf_a_halo(ss, 3)
plt.legend(loc=3)
dla_data.column_density_data()
ax = plt.gca()
ylab = ax.set_ylabel(r"$f(N)$")
# tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_cddf_z3"))
plt.clf()
#Plot first moment
for zz in (1, 3, 4, 5):
for ss in simlist: #xrange(6):
if zz == 4 and ss == 3:
plot_cddf_a_halo(3, 3, moment=True)
else:
plot_cddf_a_halo(ss, zz, moment=True)
if len(sys.argv) < 2 or int(sys.argv[1]) == 3:
plt.clf()
hplots.plot_sigma_DLA()
save_figure(path.join(outdir, "sigma_DLA_" + str(snapnum)))
plt.clf()
hplots.plot_sigma_DLA(17, 20.3)
save_figure(path.join(outdir, "sigma_DLA_17_" + str(snapnum)))
if len(sys.argv) < 2 or int(sys.argv[1]) == 4:
# Fig 12
plt.clf()
hplots.plot_column_density()
if snapnum == 141:
dla_data.column_density_data()
save_figure(path.join(outdir, "columden_" + str(snapnum)))
plt.clf()
hplots.plot_column_density_breakdown()
save_figure(path.join(outdir, "columden_break_" + str(snapnum)))
# Fig 12
# plt.clf()
# hplots.plot_rel_column_density()
# plt.ylim(0.5,1.5)
# save_figure(path.join(outdir,"columden_rel_"+str(snapnum)))
if len(sys.argv) < 2 or int(sys.argv[1]) == 5:
# Fig 11
plt.clf()
hspec = ps.PlottingSpectra(zzz[zz], halo)
dndx[zz]=hspec.line_density()
del hspec
except TypeError:
pass
plt.plot(list(dndx.keys()),list(dndx.values()), color=color)
colors = {0:"red", 1:"purple", 2:"blue", 3:"green", 4:"orange"}
for i in (0,1,2,3,4):
plot_dndx(i,colors[i])
dla_data.dndx_not()
save_figure(path.join(outdir,"cosmo_dndx"))
plt.clf()
for i in (0,1,2,3,4):
plot_rho_HI(i,colors[i])
dla_data.omegahi_not()
save_figure(path.join(outdir,"cosmo_rhohi"))
plt.clf()
#Make a plot of the column density functions.
for ss in (4,3,2,1,0):
plot_cddf_a_halo(ss, 3, color=colors[ss])
dla_data.column_density_data(moment=True)
save_figure(path.join(outdir,"cosmo_cddf_z3"))
plt.clf()
if len(sys.argv) < 2 or int(sys.argv[1]) == 3:
plt.clf()
hplots.plot_sigma_DLA()
save_figure(path.join(outdir,"sigma_DLA_"+str(snapnum)))
plt.clf()
hplots.plot_sigma_DLA(17,20.3)
save_figure(path.join(outdir,"sigma_DLA_17_"+str(snapnum)))
if len(sys.argv) < 2 or int(sys.argv[1]) == 4:
#Fig 12
plt.clf()
hplots.plot_column_density()
if snapnum == 141:
dla_data.column_density_data()
save_figure(path.join(outdir,"columden_"+str(snapnum)))
plt.clf()
hplots.plot_column_density_breakdown()
save_figure(path.join(outdir,"columden_break_"+str(snapnum)))
#Fig 12
# plt.clf()
# hplots.plot_rel_column_density()
# plt.ylim(0.5,1.5)
# save_figure(path.join(outdir,"columden_rel_"+str(snapnum)))
if len(sys.argv) < 2 or int(sys.argv[1]) == 5:
#Fig 11
plt.clf()
