Created
November 11, 2019 07:47
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#! /usr/bin/python | |
from __future__ import division, print_function | |
from astropy.cosmology import Planck15 | |
import astropy.units as units | |
import matplotlib.pyplot as plt | |
import numpy as np | |
redshift_slices = [0.01, 0.02, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3] | |
volumes = [] | |
for i, label in enumerate(redshift_slices[:-1]): | |
if i == 0: | |
z_min = 0 | |
else: | |
z_min = redshift_slices[i] | |
z_max = redshift_slices[i + 1] | |
print(label, z_min, z_max) | |
ratio = 1 * np.pi / 129600 | |
volume = (Planck15.comoving_volume(z_max) - Planck15.comoving_volume(z_min)) | |
volume *= ratio | |
print(volume.to(units.Mpc**3)) | |
volumes.append(volume.to(units.Mpc**3).value) | |
volumes = np.array(volumes) | |
plt.figure() | |
for label in [0, 1, 2, 4, 5]: # Skip 3 as it is broken according to Franco | |
L_totals = [] | |
for z in redshift_slices[:-1]: | |
print("Processing:", label, z) | |
data = np.loadtxt('%d/cone_1x1_z%gtxt_web%d.dat' % (label, z, label)) | |
L_totals.append(data[:, 0].sum()) | |
plt.scatter(redshift_slices[:-1], np.array(L_totals) / volumes, label='Model %d' % label) | |
plt.yscale('log') | |
plt.savefig('luminosity_per_zslice.png', dpi=600, transparent=True) | |
plt.show() |
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