Note
Go to the end to download the full example code.
Parametric Young Stars Example¶
Test the effect on the intrinsic emission of assuming a parametric SFH for young star particles.
This is now implemented within call to generate_lnu on a parametric stars object.
import matplotlib.pyplot as plt
import numpy as np
from unyt import Myr
from synthesizer.emission_models import IncidentEmission
from synthesizer.grid import Grid
from synthesizer.load_data.load_camels import load_CAMELS_IllustrisTNG
from synthesizer.parametric import SFH, Stars
from synthesizer.parametric.galaxy import Galaxy
if __name__ == "__main__":
grid_dir = "../../tests/test_grid"
grid_name = "test_grid"
grid = Grid(grid_name, grid_dir=grid_dir)
gals = load_CAMELS_IllustrisTNG(
"../../tests/data/",
snap_name="camels_snap.hdf5",
group_name="camels_subhalo.hdf5",
group_dir="../../tests/data/",
)
# Define the emission model
model = IncidentEmission(grid)
# Select a single galaxy
gal = gals[2]
# Age limit at which we replace star particles
age_lim = 500 * Myr
"""
We first demonstrate the process *manually*.
This also allows us to obtain the SFH of each parametric
model for plotting purposes.
"""
# First, filter for star particles
pmask = gal.stars.ages < age_lim
stars = []
# Loop through each young star particle
for _pmask in np.where(pmask)[0]:
# Initialise SFH object
sfh = SFH.Constant(max_age=age_lim)
# Create a parametric stars object
stars.append(
Stars(
grid.log10age,
grid.metallicity,
sf_hist=sfh,
metal_dist=gal.stars.metallicities[_pmask],
initial_mass=gal.stars.initial_masses[_pmask],
)
)
# Sum each individual Stars object
stars = sum(stars[1:], stars[0])
# Create a parametric galaxy
para_gal = Galaxy(stars)
para_spec = para_gal.stars.get_spectra(model)
part_spec = gal.stars.get_spectra(model)
part_spec_old = gal.stars.get_spectra(
model,
mask={"incident": {"attr": "ages", "op": ">", "thresh": age_lim}},
)
"""
We can also do this directly by calling the parametric_young_stars
method on the Stars to resample in place.
"""
gal.stars.parametric_young_stars(
age=age_lim,
parametric_sfh="constant",
grid=grid,
)
combined_spec = gal.stars.get_spectra(model)
"""
Plot intrinsic emission from pure particle, parametric
and parametric + particle models
"""
fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))
ax1.loglog(
para_spec.lam, para_spec.lnu, label="Parametric young", color="C0"
)
ax1.loglog(
part_spec_old.lam, part_spec_old.lnu, label="Particle old", color="C3"
)
ax1.loglog(
part_spec.lam,
part_spec.lnu,
label="Particle all",
color="C1",
linestyle="dashed",
)
ax1.loglog(
part_spec.lam,
part_spec_old.lnu + para_spec.lnu,
label="Para + Part",
color="C2",
)
ax1.set_ylim(1e20, 1e30)
ax1.set_xlim(1e2, 2e4)
ax1.legend()
ax1.set_xlabel("$\\lambda \\,/\\, \\AA$")
ax1.set_ylabel("$L_{\\lambda} / \\mathrm{erg / Hz / s}$")
"""
Plot SFH from particles and parametric
"""
binLimits = np.linspace(5, 10, 30)
ax2.hist(
np.log10(gal.stars.ages),
histtype="step",
weights=gal.stars.initial_masses.value,
bins=binLimits,
log=True,
label="All Particles",
color="C1",
linestyle="dashed",
linewidth=3,
)
ax2.hist(
np.log10(stars.ages.value),
histtype="step",
weights=stars.sf_hist,
bins=binLimits,
log=True,
label="Young Parametric",
color="C0",
linewidth=3,
linestyle="dashed",
)
ax2.legend()
# plt.show()
ax2.set_xlabel("$\\mathrm{log_{10} Age \\,/\\, yr}$")
ax2.set_ylabel("$\\mathrm{log_{10} (Mass \\,/\\, M_{\\odot})}$")
plt.show()
Total running time of the script: (0 minutes 0.792 seconds)