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Merge pull request #82 from SWIFTSIM/add_luminosity_function
Added the Loveday+2012 and Driver+2012 luminosity functions from GAMA
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79
data/GalaxyLuminosityFunction/conversion/convertDriver2012.py
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from velociraptor.observations.objects import ObservationalData | ||
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import unyt | ||
import numpy as np | ||
import os | ||
import sys | ||
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# Exec the master cosmology file passed as first argument | ||
with open(sys.argv[1], "r") as handle: | ||
exec(handle.read()) | ||
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# Cosmology | ||
h_sim = cosmology.h | ||
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output_basename = "Driver2012_" | ||
output_directory = "../" | ||
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if not os.path.exists(output_directory): | ||
os.mkdir(output_directory) | ||
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# Data taken from table 4 of the paper | ||
bands = ["u", "g", "r", "i", "z", "Y", "J", "H", "K"] | ||
min_M = np.ones(len(bands)) * (-24.0) | ||
max_M = np.ones(len(bands)) * (-12.0) | ||
alpha = np.array([-1.03, -1.10, -1.12, -1.17, -1.14, -1.12, -1.10, -1.07, -1.03]) | ||
M_star = np.array( | ||
[-18.60, -20.09, -20.86, -21.30, -21.52, -21.63, -21.74, -21.99, -21.63] | ||
) | ||
phi_star = np.array([2.03, 1.47, 1.24, 1.00, 1.02, 0.98, 0.97, 1.03, 1.10]) / 100.0 | ||
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# Convert to our cosmology | ||
min_M += 5 * np.log10(h_sim) | ||
max_M += 5 * np.log10(h_sim) | ||
M_star += 5 * np.log10(h_sim) | ||
phi_star /= h_sim ** (-3) | ||
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# Meta-data | ||
comment = f"Data h-corrected for SWIFT using cosmology: {cosmology.name}." | ||
citation = "Driver et al. (2012) (GAMA)" | ||
bibcode = "2012MNRAS.427.3244D" | ||
name = "Luminosity functions in the ugrizYJHK bands from the GAMA survey. Single-Schechter fits to the data." | ||
plot_as = "line" | ||
redshift = 0.1 | ||
h = h_sim | ||
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for i in range(len(bands)): | ||
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M = np.linspace(min_M[i], max_M[i], 256) | ||
arg = 0.4 * (M_star[i] - M) | ||
Phi = ( | ||
unyt.Mpc ** (-3) | ||
* 0.4 | ||
* np.log(10) | ||
* phi_star[i] | ||
* ((10.0 ** arg) ** (1.0 + alpha[i])) | ||
* np.exp(-10.0 ** arg) | ||
) | ||
M = unyt.unyt_array(M, "dimensionless") | ||
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# Write everything | ||
processed = ObservationalData() | ||
processed.associate_x( | ||
M, scatter=None, comoving=True, description="Magnitudes %s-band" % bands[i] | ||
) | ||
processed.associate_y(Phi, scatter=None, comoving=True, description="Phi (M)") | ||
processed.associate_citation(citation, bibcode) | ||
processed.associate_name(name) | ||
processed.associate_comment(comment) | ||
processed.associate_redshift(redshift) | ||
processed.associate_plot_as(plot_as) | ||
processed.associate_cosmology(cosmology) | ||
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output_filename = output_basename + bands[i] + ".hdf5" | ||
output_path = f"{output_directory}/{output_filename}" | ||
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if os.path.exists(output_path): | ||
os.remove(output_path) | ||
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processed.write(filename=output_path) |
77 changes: 77 additions & 0 deletions
77
data/GalaxyLuminosityFunction/conversion/convertLoveday2012.py
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@@ -0,0 +1,77 @@ | ||
from velociraptor.observations.objects import ObservationalData | ||
|
||
import unyt | ||
import numpy as np | ||
import os | ||
import sys | ||
|
||
# Exec the master cosmology file passed as first argument | ||
with open(sys.argv[1], "r") as handle: | ||
exec(handle.read()) | ||
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# Cosmology | ||
h_sim = cosmology.h | ||
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output_basename = "Loveday2012_" | ||
output_directory = "../" | ||
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if not os.path.exists(output_directory): | ||
os.mkdir(output_directory) | ||
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# Data taken from table 3 of the paper | ||
bands = ["u", "g", "r", "i", "z"] | ||
min_M = np.array([-21.0, -22.0, -23.0, -23.0, -24.0]) | ||
max_M = np.array([-10.0, -10.0, -10.0, -11.0, -12.0]) | ||
alpha = np.array([-1.21, -1.20, -1.26, -1.22, -1.18]) | ||
M_star = np.array([-18.02, -19.71, -20.73, -21.13, -21.41]) | ||
phi_star = np.array([1.96, 1.33, 0.90, 0.90, 0.90]) / 100.0 | ||
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# Convert to our cosmology | ||
min_M += 5 * np.log10(h_sim) | ||
max_M += 5 * np.log10(h_sim) | ||
M_star += 5 * np.log10(h_sim) | ||
phi_star /= h_sim ** (-3) | ||
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# Meta-data | ||
comment = f"Data h-corrected for SWIFT using cosmology: {cosmology.name}." | ||
citation = "Loveday et al. (2012) (GAMA)" | ||
bibcode = "2012MNRAS.420.1239L" | ||
name = "Luminosity functions in the ugriz bands from the GAMA survey. Single-Schechter fits to the data." | ||
plot_as = "line" | ||
redshift = 0.1 | ||
h = h_sim | ||
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for i in range(len(bands)): | ||
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M = np.linspace(min_M[i], max_M[i], 256) | ||
arg = 0.4 * (M_star[i] - M) | ||
Phi = ( | ||
unyt.Mpc ** (-3) | ||
* 0.4 | ||
* np.log(10) | ||
* phi_star[i] | ||
* ((10.0 ** arg) ** (1.0 + alpha[i])) | ||
* np.exp(-10.0 ** arg) | ||
) | ||
M = unyt.unyt_array(M, "dimensionless") | ||
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# Write everything | ||
processed = ObservationalData() | ||
processed.associate_x( | ||
M, scatter=None, comoving=True, description="Magnitudes %s-band" % bands[i] | ||
) | ||
processed.associate_y(Phi, scatter=None, comoving=True, description="Phi (M)") | ||
processed.associate_citation(citation, bibcode) | ||
processed.associate_name(name) | ||
processed.associate_comment(comment) | ||
processed.associate_redshift(redshift) | ||
processed.associate_plot_as(plot_as) | ||
processed.associate_cosmology(cosmology) | ||
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output_filename = output_basename + bands[i] + ".hdf5" | ||
output_path = f"{output_directory}/{output_filename}" | ||
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if os.path.exists(output_path): | ||
os.remove(output_path) | ||
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processed.write(filename=output_path) |