ewbins = Bins([0.6, 5.0])
labels = ['0.6 < Wr$_{2796}$ < 5']
colors = 'g'
symbols = 'o'
offsets = [0]
for i in range(len(labels)):
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'$dN/dz\ (MgII)$')
ax.set_title(run_id)
ewbins = Bins([0.6, 5.0])
labels = ['0.6 < Wr$_{2796}$ < 5']
colors = 'g'
symbols = 'o'
offsets = [0]
for i in range(len(labels)):
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()
ax = fig.add_axes((left, 0.6, right-left, 0.35))
Z0, Z1 = -2.8 - 0.75, -2.8 + 0.75
r0,r1=-300,400
ax.fill([r0,r0,r1,r1], [Z0,Z1,Z1,Z0], lw=0, color='0.7')
ax.text(100, -2.4, 'IGM' ,ha='center',va='center')
ax.text(220, -0.35, 'ISM (cb58)',ha='center',va='center',fontsize=14)
Z0, Z1 = -0.11, -0.52
r0,r1=-300,400
ax.fill([r0,r0,r1,r1], [Z0,Z1,Z1,Z0], lw=0, color='orange', alpha=0.3)
v = V['Z']
errplot(dv, v['val'], (v['val']-v['erlo'],
v['val']+v['erhi']), ax=ax, lw=1, ms=10)
ax.set_ylabel('$Z/Z_\odot$')
ax.set_xlabel('Velocity (km/s)')
ax.xaxis.get_label().set_fontsize(font2+1)
for t in ax.get_xticklabels():
t.set_fontsize(font1+2)
make_log_ylabels(ax)
#ax.set_xticklabels('')
ax.set_xlim(-140,360)
ax.set_ylim(-2.7,0.19)
for t in ax.get_yticklabels():
t.set_fontsize(font1+2)
ax.yaxis.get_label().set_fontsize(font2+2)
#########################################
# make the remaining smaller plots
