def plot_all_rho(simlist):
"""Make the rho_HI plot with labels etc"""
#Cosmo0
for i in simlist: #xrange(8):
(zzz,dndx,omegadla) = get_rhohi_dndx(i)
plt.figure(1)
plt.plot(zzz,dndx, 'o', color=colors[i], ls=lss[i], label=labels[i])
plt.figure(2)
plt.plot(zzz,omegadla, 'o', color=colors[i], ls=lss[i],label=labels[i])
plt.figure(1)
plt.xlabel("z")
plt.ylabel(r"$dN / dX$")
dla_data.dndx_not()
dla_data.dndx_pro()
plt.xlim(2,4)
plt.ylim(0,0.13)
plt.legend(loc=4, ncol=3)
tight_layout_wrapper()
save_figure(path.join(outdir,"cosmo_dndx"))
plt.clf()
plt.figure(2)
plt.xlabel("z")
plt.ylabel(r"$10^3 \Omega_\mathrm{DLA}$")
dla_data.omegahi_not()
# dla_data.omegahi_pro()
plt.xlim(2,4)
plt.ylim(0,2.)
plt.legend(loc=4, ncol=3)
tight_layout_wrapper()
save_figure(path.join(outdir,"cosmo_rhohi"))
plt.clf()
def plot_omegahi_breakdown(sim):
"""Make the rho_HI plot with labels etc"""
halo = myname.get_name(sim, True, 25)
snaps = {4:1, 3.5:2, 3:3, 2.5:4, 2:5}
fractions=[]
zzz = []
omegadla = []
for zzzz in (4, 3.5, 3, 2.5, 2):
ahalo = dp.PrettyBox(halo, snaps[zzzz], nslice=10)
(massbins, fracs) = ahalo.get_omega_hi_mass_breakdown()
fractions.append(fracs)
zzz.append(zzzz)
omegadla.append(ahalo.omega_DLA())
fractions = np.array(fractions)
for i in xrange(np.size(fractions[0,:])-2):
plt.plot(zzz,fractions[:,i+1], 'o', color=colors[i], ls=lss[i], label=dp.pr_num(np.log10(massbins[i]))+" - "+dp.pr_num(np.log10(massbins[i+1])))
plt.plot(zzz,fractions[:,-1], 'o', color=colors[6], ls=lss[6], label="Field")
plt.plot(zzz,omegadla, 'o', color=colors[sim], ls=lss[sim], label="Total")
plt.xlabel("z")
plt.ylabel(r"$10^3 \Omega_\mathrm{DLA}$")
dla_data.omegahi_not()
plt.xlim(2,4)
plt.ylim(0,2.3)
plt.legend(loc=1, ncol=2)
tight_layout_wrapper()
save_figure(path.join(outdir,"cosmo_rhohi_break"+str(sim)))
plt.clf()
def plot_all_rho():
"""Make the rho_HI plot with labels etc"""
#Cosmo0
zzz0= [4, 3, 2]
dndx0= [0.12982373590447616, 0.11318656438441635, 0.14167778407440484]
omega0= [1.1295349304295403, 1.0832253887624965, 1.4772732823119952]
#Cosmo2
zzz2= [4, 3.5, 3, 2.5, 2]
dndx2= [0.081675998741546157, 0.071281732587967661, 0.061506461643187245, 0.061143942748744885, 0.063275568]
omega2= [0.76470263480711975, 0.69383248829835542, 0.64764348287042328, 0.6917879571651826, 0.7428807770637]
#Cosmo3
zzz3= [4, 3, 2]
dndx3= [0.11528106522481622, 0.11797023730537365, 0.12545022290952848]
omega3= [1.7090510472291021, 1.8510973567379598, 1.9917860682826971]
#for i in (0,2,3):
# (zzz,dndx,rhohi) = plot_rhohi_dndx(i)
# plt.figure(1)
# print "zzz=",zzz
# print "dndx=",dndx
# print "omega=",rhohi
# plt.plot(zzz,dndx, color=colors[sim], ls=lss[sim])
# plt.figure(2)
# plt.plot(zzz,rhohi, color=colors[sim], ls=lss[sim])
plt.figure(1)
plt.plot(zzz0,dndx0, color=colors[0], ls=lss[0])
plt.plot(zzz2,dndx2, color=colors[2], ls=lss[2])
plt.plot(zzz3,dndx3, color=colors[3], ls=lss[3])
plt.xlabel("z")
plt.ylabel(r"$dN / dX$")
dla_data.dndx_not()
dla_data.dndx_pro()
save_figure(path.join(outdir,"cosmo_dndx"))
plt.clf()
plt.figure(2)
plt.plot(zzz0,omega0, color=colors[0], ls=lss[0])
plt.plot(zzz2,omega2, color=colors[2], ls=lss[2])
plt.plot(zzz3,omega3, color=colors[3], ls=lss[3])
plt.xlabel("z")
plt.ylabel(r"$10^3 \Omega_\mathrm{DLA}$")
dla_data.omegahi_not()
dla_data.omegahi_pro()
save_figure(path.join(outdir,"cosmo_rhohi"))
plt.clf()
def plot_omegahi_breakdown(sim):
"""Make the rho_HI plot with labels etc"""
halo = myname.get_name(sim, True, 25)
snaps = {4: 1, 3.5: 2, 3: 3, 2.5: 4, 2: 5}
fractions = []
zzz = []
omegadla = []
for zzzz in (4, 3.5, 3, 2.5, 2):
ahalo = dp.PrettyBox(halo, snaps[zzzz], nslice=10)
(massbins, fracs) = ahalo.get_omega_hi_mass_breakdown()
fractions.append(fracs)
zzz.append(zzzz)
omegadla.append(ahalo.omega_DLA())
fractions = np.array(fractions)
for i in xrange(np.size(fractions[0, :]) - 2):
plt.plot(zzz,
fractions[:, i + 1],
'o',
color=colors[i],
ls=lss[i],
label=dp.pr_num(np.log10(massbins[i])) + " - " +
dp.pr_num(np.log10(massbins[i + 1])))
plt.plot(zzz,
fractions[:, -1],
'o',
color=colors[6],
ls=lss[6],
label="Field")
plt.plot(zzz, omegadla, 'o', color=colors[sim], ls=lss[sim], label="Total")
plt.xlabel("z")
plt.ylabel(r"$10^3 \Omega_\mathrm{DLA}$")
dla_data.omegahi_not()
plt.xlim(2, 4)
plt.ylim(0, 2.3)
plt.legend(loc=1, ncol=2)
tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_rhohi_break" + str(sim)))
plt.clf()
def plot_all_rho(simlist):
"""Make the rho_HI plot with labels etc"""
#Cosmo0
for i in simlist: #xrange(8):
(zzz, dndx, omegadla) = get_rhohi_dndx(i)
plt.figure(1)
plt.plot(zzz, dndx, 'o', color=colors[i], ls=lss[i], label=labels[i])
plt.figure(2)
plt.plot(zzz,
omegadla,
'o',
color=colors[i],
ls=lss[i],
label=labels[i])
plt.figure(1)
plt.xlabel("z")
plt.ylabel(r"$dN / dX$")
dla_data.dndx_not()
dla_data.dndx_pro()
plt.xlim(2, 4)
plt.ylim(0, 0.13)
plt.legend(loc=4, ncol=3)
tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_dndx"))
plt.clf()
plt.figure(2)
plt.xlabel("z")
plt.ylabel(r"$10^3 \Omega_\mathrm{DLA}$")
dla_data.omegahi_not()
# dla_data.omegahi_pro()
plt.xlim(2, 4)
plt.ylim(0, 2.)
plt.legend(loc=4, ncol=3)
tight_layout_wrapper()
save_figure(path.join(outdir, "cosmo_rhohi"))
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()
def do_data_plots(cat, subdir):
"""Make a set of plots"""
dla_data.noterdaeme_12_data()
(l_N, cddf, cddf68, cddf95) = cat.plot_cddf(zmax=5, color="blue")
np.savetxt(
path.join(subdir, "cddf_all.txt"),
(l_N, cddf, cddf68[:, 0], cddf68[:, 1], cddf95[:, 0], cddf95[:, 1]))
plt.xlim(1e20, 1e23)
plt.ylim(1e-28, 5e-21)
plt.legend(loc=0)
save_figure(path.join(subdir, "cddf_gp"))
plt.clf()
(l_N, cddf, cddf68, cddf95) = cat.plot_cddf(zmax=5,
color="blue",
moment=True)
plt.xlim(1e20, 1e23)
plt.legend(loc=0)
save_figure(path.join(subdir, "cddf_moment_gp"))
plt.clf()
#Evolution with redshift
(l_N, cddf, cddf68, cddf95) = cat.plot_cddf(4,
5,
label="4-5",
color="brown")
np.savetxt(
path.join(subdir, "cddf_z45.txt"),
(l_N, cddf, cddf68[:, 0], cddf68[:, 1], cddf95[:, 0], cddf95[:, 1]))
(l_N, cddf, cddf68, cddf95) = cat.plot_cddf(3,
4,
label="3-4",
color="black")
np.savetxt(
path.join(subdir, "cddf_z34.txt"),
(l_N, cddf, cddf68[:, 0], cddf68[:, 1], cddf95[:, 0], cddf95[:, 1]))
(l_N, cddf, cddf68, cddf95) = cat.plot_cddf(2.5,
3,
label="2.5-3",
color="green")
np.savetxt(
path.join(subdir, "cddf_z253.txt"),
(l_N, cddf, cddf68[:, 0], cddf68[:, 1], cddf95[:, 0], cddf95[:, 1]))
(l_N, cddf, cddf68, cddf95) = cat.plot_cddf(2,
2.5,
label="2-2.5",
color="blue")
np.savetxt(
path.join(subdir, "cddf_z225.txt"),
(l_N, cddf, cddf68[:, 0], cddf68[:, 1], cddf95[:, 0], cddf95[:, 1]))
plt.xlim(1e20, 1e23)
plt.ylim(1e-28, 5e-21)
plt.legend(loc=0)
save_figure(path.join(subdir, "cddf_zz_gp"))
plt.clf()
#dNdX
dla_data.dndx_not()
dla_data.dndx_pro()
(z_cent, dNdX, dndx68, dndx95) = cat.plot_line_density(zmax=5)
np.savetxt(
path.join(subdir, "dndx_all.txt"),
(z_cent, dNdX, dndx68[:, 0], dndx68[:, 1], dndx95[:, 0], dndx95[:, 1]))
plt.legend(loc=0)
plt.ylim(0, 0.16)
save_figure(path.join(subdir, "dndx_gp"))
plt.clf()
#Omega_DLA
dla_data.omegahi_not()
dla_data.omegahi_pro()
dla_data.crighton_omega()
(z_cent, omega_dla, omega_dla_68,
omega_dla_95) = cat.plot_omega_dla(zmax=5)
# cat.tophat_prior = True
# cat.plot_omega_dla(zmax=5, label="Tophat Prior", twosigma=False)
# cat.tophat_prior = False
np.savetxt(path.join(subdir, "omega_dla_all.txt"),
(z_cent, omega_dla, omega_dla_68[:, 0], omega_dla_68[:, 1],
omega_dla_95[:, 0], omega_dla_95[:, 1]))
plt.legend(loc=0)
plt.xlim(2, 5)
plt.ylim(0, 2.5)
save_figure(path.join(subdir, "omega_gp"))
plt.clf()