dy2 = -dy2
valign = 'top'
color='b'
if tr_wrest[i] > 1215.67:
color = 'r'
elif tr_wrest[i] > 912.:
color = 'g'
ax.text(xvals[i] + dx, y[i]+ dy2, t, fontsize=9,
rotation=90, ha=halign, va=valign, color=color)
ax.plot([xvals[i]]*2, [y[i] + dy0, y[i] + dy1], lw=0.5, color='0.5')
c = 'k'
ax.set_xlabel('$\mathrm{Energy\ (Rydbergs)}$')
ax.set_ylabel(r'$\log_{10}\ [J_{\nu}\ \mathrm{(erg/s/cm^2/Hz/ster)}]$')
ax.set_xlim(-0.6, 1.6)
make_log_xlabels(ax)
ax.set_ylim(-24.3, -16.8)
puttext(0.95, 0.85, '$\mathrm{Haardt\ & \ Madau}$\n$2012,\ z=2.5$',
ax=ax, ha='right')
puttext(0.95, 0.75, '$\mathrm{Strongest\ }\lambda_0>\ 1216\ \AA$', ax=ax, ha='right',color='r',fontsize=10)
puttext(0.95, 0.7, '$\mathrm{Strongest\ }\lambda_0>\ 912\ \AA$', ax=ax, ha='right',color='g' ,fontsize=10)
puttext(0.95, 0.65, '$\mathrm{Strongest\ }\lambda_0>\ 600\ \AA$', ax=ax, ha='right',color='b' ,fontsize=10)
puttext(0.95, 0.55, '$\mathrm{Verner\ }P\ >\ %g$' % prob, ax=ax, ha='right',fontsize=10)
fig1.savefig('incident_field_trans.pdf')
dNdz, dNdz_er, n = find_dndz_vs_rho(
rho, ab['MgII'], iMgII_from_id,
ewbins.edges[i], ewbins.edges[i+1])
y = np.log10(dNdz)
ylo = np.log10(dNdz - dNdz_er)
yhi = np.log10(dNdz + dNdz_er)
errplot(rbin.cen + offsets[i], y, (ylo, yhi), ax=ax,
fmt=colors[i]+symbols[i], label=labels[i])
for j in range(len(n)):
puttext(rbin.cen[j], 0.03 + i*0.03, str(n[j]), ax, color=colors[i],
fontsize=10, xcoord='data', ha='center')
ax.legend(frameon=0)
ax.set_xlabel('Cluster-absorber impact par. (proper Mpc)')
ax.set_ylabel(r'$dN/dz\ (MgII)$')
# skip last bin, where not all pairs are measured.
ax.set_xlim(rbin.edges[0] - rbin.halfwidth[0],
rbin.edges[-2] + rbin.halfwidth[-1])
make_log_xlabels(ax)
make_log_ylabels(ax)
#fig3.savefig(run_id + '/dNdz_vs_rho.png')
plt.show()
if 0:
# check whether QSO properties are consistent across bins
qso_orig = append_QSO_props(ab)
ab['qso'] = qso_orig
fig = plt.figure(figsize=(20,5))
plot_rho_QSO_prop(fig, rho, ab, iqso_from_id)
coords3 = [(NHI_, nH, Z_, aUV_) for nH in nHvals]
color = 'b'
iontext = []
text = []
lines = []
figs = []
for k in range(3):
fig = plt.figure(figsize=(5.4, 3.2))
figs.append(fig)
ax = fig.add_subplot(111)
ax.set_ylabel('$\log_{10}\ (\mathrm{N/cm}^{-2})$')
ax.set_xlabel('$\mathrm{Ionization\ potential\ (Ryd)}$')
ax.set_xlim(np.log10(0.9), np.log10(12))
make_log_xlabels(ax, yoff=-0.07)
ax.set_xticks([np.log10(1), np.log10(10)])
ax.set_xticklabels(['1', '10'])
fig.subplots_adjust(bottom=0.17, left=0.11, right=0.97, top=0.96)
ax.set_ylim(4.5, 14.9)
plt.autoscale(0)
itexts = []
m0 = model(coords1[k], for_plot=1)
for i in range(len(m0)):
dy = 0
dx = 0
if usepot:
if tr_plot[i] == 'SiII':
dy = 0.1
elif tr_plot[i] == 'MgII':
dx = -0.02
rvals = np.logspace(-1, 4) * u.kpc
R_M = (rvals / M['rs']).to(u.dimensionless_unscaled).value
rho_m_M = M['rho_s'] * rho_nfw(R_M)
if PLOT:
fig = plt.figure(1, figsize=FIGSIZE)
fig.clf()
ax = fig.add_subplot(111)
ax.plot(np.log10(rvals.to(u.kpc).value),
np.log10(rho_m_M.to(u.M_sun/u.kpc**3).value))
ax.set_xlabel(r'$r$ (physical kpc)')
ax.set_ylabel(r'$\log_{10}\,\rho(r)\ (M_\odot/\mathrm{kpc}^3)$')
ax.set_xlim(-0.9,3.9)
#make_log_ylabels(ax)
make_log_xlabels(ax)
fig.savefig('check_rho.png', bbox_inches='tight')
plt.show()
if PLOT:
# test plot of the surface density for a NFW profile.
rp_vals = np.logspace(-1, 4)
xcorr1h = Sigma_1h(rp_vals, M).to(u.M_sun/u.kpc**2)
if 1:
# test plot
fig = plt.figure(2, figsize=FIGSIZE)
fig.clf()
ax = fig.add_subplot(111)
ax.plot(np.log10(rp_vals), np.log10(xcorr1h.value))
ax.set_xlabel(r'Impact parameter $r_p$(physical kpc)')
#
if 1:
from barak.plot import hist_xedge, make_log_xlabels, draw_arrows
xvals = np.linspace(8,11)
fig = plt.figure(figsize=(4.2,7))
fig.subplots_adjust(top=0.97, left=0.2, bottom=0.12, hspace=1e-3)
ax1 = plt.subplot(211)
ax1.fill_between(xvals, 25.9-0.08, y2=25.9+0.08, lw=0, color='0.8')
ax1.axhline(25.9, ls='--', color='k')
ax1.plot(d0.mstar, Rmag0, 'ro')
ax1.set_ylim(25.38, 26.39)
ax1.set_xlim(8.3, 10.1)
make_log_xlabels(ax1)
ax1.set_xticklabels('')
ax1.set_ylabel('$r$')
ax1.text(8.6, 25.58, '$2.3 < z < 2.7$', fontsize=18)
ax2 = plt.subplot(212)
ax2.fill_between(xvals, rmg-0.16, y2=rmg+0.16, lw=0, color='0.8')
ax2.axhline(rmg, ls='--', color='k')
ax2.plot(d0.mstar, Rmag0-Gmag0, 'go')
c2 = Rmag0-Gmag0 > 0.5
#draw_arrows(d0.mstar[c2], 0.02, ax=ax2, ms=1, capsize=5, direction='up')
ax2.plot([M16, M84],[-0.62]*2, color='0.5', lw=2)
ax2.plot(M50, -0.62,'o', color='0.5', ms=10, mew=0)
hist_xedge(d0.mstar, ax2,color='k',bins=10, height=0.35)
ax2.set_ylim(-0.66, 0.095)
ax2.set_xlim(8.3, 10.1)
make_log_xlabels(ax2, yoff=-0.08)
coords3 = [(NHI_, nH, Z_, aUV_) for nH in nHvals]
color = 'b'
iontext = []
text = []
lines = []
figs = []
for k in range(3):
fig = plt.figure(figsize=(5.4, 3.2))
figs.append(fig)
ax = fig.add_subplot(111)
ax.set_ylabel('$\log_{10}\ (\mathrm{N/cm}^{-2})$')
ax.set_xlabel('$\mathrm{Ionization\ potential\ (Ryd)}$')
ax.set_xlim(np.log10(0.9), np.log10(12))
make_log_xlabels(ax, yoff=-0.07)
ax.set_xticks([np.log10(1), np.log10(10)])
ax.set_xticklabels(['1', '10'])
fig.subplots_adjust(bottom=0.17, left=0.11, right=0.97, top=0.96)
ax.set_ylim(4.5, 14.9)
plt.autoscale(0)
itexts = []
m0 = model(coords1[k], for_plot=1)
for i in range(len(m0)):
dy = 0
dx = 0
if usepot:
if tr_plot[i] == 'SiII':
dy = 0.1
elif tr_plot[i] == 'MgII':
dx = -0.02
#
if 1:
from barak.plot import hist_xedge, make_log_xlabels, draw_arrows
xvals = np.linspace(8, 11)
fig = plt.figure(figsize=(4.2, 7))
fig.subplots_adjust(top=0.97, left=0.2, bottom=0.12, hspace=1e-3)
ax1 = plt.subplot(211)
ax1.fill_between(xvals, 25.9 - 0.08, y2=25.9 + 0.08, lw=0, color='0.8')
ax1.axhline(25.9, ls='--', color='k')
ax1.plot(d0.mstar, Rmag0, 'ro')
ax1.set_ylim(25.38, 26.39)
ax1.set_xlim(8.3, 10.1)
make_log_xlabels(ax1)
ax1.set_xticklabels('')
ax1.set_ylabel('$r$')
ax1.text(8.6, 25.58, '$2.3 < z < 2.7$', fontsize=18)
ax2 = plt.subplot(212)
ax2.fill_between(xvals, rmg - 0.16, y2=rmg + 0.16, lw=0, color='0.8')
ax2.axhline(rmg, ls='--', color='k')
ax2.plot(d0.mstar, Rmag0 - Gmag0, 'go')
c2 = Rmag0 - Gmag0 > 0.5
#draw_arrows(d0.mstar[c2], 0.02, ax=ax2, ms=1, capsize=5, direction='up')
ax2.plot([M16, M84], [-0.62] * 2, color='0.5', lw=2)
ax2.plot(M50, -0.62, 'o', color='0.5', ms=10, mew=0)
hist_xedge(d0.mstar, ax2, color='k', bins=10, height=0.35)
ax2.set_ylim(-0.66, 0.095)
ax2.set_xlim(8.3, 10.1)
make_log_xlabels(ax2, yoff=-0.08)
