Age lookup test

Test using a lookup grid for particle ages (calculated from the scsale factor representation native to most cosmological snapshot outputs), and compare to the direct astropy calculation. Show dependence of relative error on lookup grid resolution.

plot test age lookup
import h5py
import matplotlib.pyplot as plt
import numpy as np
from astropy.cosmology import Planck15

from synthesizer.load_data.utils import age_lookup_table, lookup_age

# get scale factors from test file
with h5py.File("../../tests/data/camels_snap.hdf5", "r") as hf:
    form_time = hf["PartType4/GFM_StellarFormationTime"][:]

# Calculate ages of these explicitly using astropy
part_ages_proper = Planck15.age(1.0 / form_time - 1)

fig, ax = plt.subplots(1, 1)

# Loop over different look up grid resolutions
for delta_a in [1e-2, 1e-3, 1e-4, 1e-5, 5e-6]:
    # create the lookup grid
    scale_factors, ages = age_lookup_table(Planck15, delta_a=delta_a)

    # Look up the ages for the particles
    part_ages = lookup_age(form_time, scale_factors, ages)

    ax.scatter(
        part_ages_proper,
        np.log10(np.abs((part_ages - part_ages_proper).value)),
        s=1,
        alpha=1,
        label=delta_a,
    )

ax.legend(title=r"$\Delta a$:")
ax.set_ylabel(r"$\Delta \mathrm{log_{10} \, age \;\; (Gyr)}$")
plt.show()

Total running time of the script: (0 minutes 44.831 seconds)

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