def test_power_spectra_lightcone(redshift, kwargs, module_direc):
print("Options used for the test: ", kwargs)
# First get pre-made data
with h5py.File(prd.get_filename(redshift, **kwargs), "r") as f:
power = f["power_lc"][...]
xHI = f["xHI"][...]
Tb = f["Tb"][...]
with config.use(direc=module_direc, regenerate=False, write=True):
with global_params.use(
zprime_step_factor=prd.DEFAULT_ZPRIME_STEP_FACTOR):
# Note that if zprime_step_factor is set in kwargs, it will over-ride this.
k, p, lc = prd.produce_lc_power_spectra(redshift, **kwargs)
assert np.allclose(power[:len(power) // 2],
p[:len(power) // 2],
atol=0,
rtol=1e-2)
assert np.allclose(power[(len(power) // 2):],
p[(len(power) // 2):],
atol=0,
rtol=5e-2)
assert np.allclose(xHI, lc.global_xH, atol=1e-5, rtol=1e-3)
assert np.allclose(Tb, lc.global_brightness_temp, atol=1e-5, rtol=1e-3)
def test_perturb_field_data(redshift, kwargs):
print("Options used for the test: ", kwargs)
# First get pre-made data
with h5py.File(prd.get_filename_pt(redshift, **kwargs), "r") as f:
power_dens = f["power_dens"][...]
power_vel = f["power_vel"][...]
pdf_dens = f["pdf_dens"][...]
pdf_vel = f["pdf_vel"][...]
with global_params.use(zprime_step_factor=prd.DEFAULT_ZPRIME_STEP_FACTOR):
# Note that if zprime_step_factor is set in kwargs, it will over-ride this.
(
k_dens,
p_dens,
k_vel,
p_vel,
x_dens,
y_dens,
x_vel,
y_vel,
ic,
) = prd.produce_perturb_field_data(redshift, **kwargs)
assert np.allclose(power_dens, p_dens, atol=5e-3, rtol=1e-3)
assert np.allclose(power_vel, p_vel, atol=5e-3, rtol=1e-3)
assert np.allclose(pdf_dens, y_dens, atol=5e-3, rtol=1e-3)
assert np.allclose(pdf_vel, y_vel, atol=5e-3, rtol=1e-3)
def test_power_spectra_coeval(name, module_direc, plt):
redshift, kwargs = prd.OPTIONS[name]
print(f"Options used for the test at z={redshift}: ", kwargs)
# First get pre-made data
with h5py.File(prd.get_filename("power_spectra", name), "r") as fl:
true_powers = {
"_".join(key.split("_")[1:]): value[...]
for key, value in fl["coeval"].items() if key.startswith("power_")
}
# Now compute the Coeval object
with config.use(direc=module_direc, regenerate=False, write=True):
with global_params.use(
zprime_step_factor=prd.DEFAULT_ZPRIME_STEP_FACTOR):
# Note that if zprime_step_factor is set in kwargs, it will over-ride this.
test_k, test_powers, _ = prd.produce_coeval_power_spectra(
redshift, **kwargs)
if plt == mpl.pyplot:
make_coeval_comparison_plot(test_k, true_powers, test_powers, plt)
for key, value in true_powers.items():
print(f"Testing {key}")
assert np.sum(
~np.isclose(value, test_powers[key], atol=0, rtol=1e-2)) < 10
np.testing.assert_allclose(value, test_powers[key], atol=0, rtol=1e-1)
def test_globals():
orig = global_params.Z_HEAT_MAX
with global_params.use(Z_HEAT_MAX=10.0):
assert global_params.Z_HEAT_MAX == 10.0
assert global_params._cobj.Z_HEAT_MAX == 10.0
assert global_params.Z_HEAT_MAX == orig
def test_power_spectra_coeval(redshift, kwargs, module_direc):
print("Options used for the test: ", kwargs)
# First get pre-made data
with h5py.File(prd.get_filename(redshift, **kwargs), "r") as f:
power = f["power_coeval"][...]
with config.use(direc=module_direc, regenerate=False, write=True):
with global_params.use(
zprime_step_factor=prd.DEFAULT_ZPRIME_STEP_FACTOR):
# Note that if zprime_step_factor is set in kwargs, it will over-ride this.
k, p, bt = prd.produce_coeval_power_spectra(redshift, **kwargs)
assert np.allclose(power, p, atol=1e-3, rtol=1e-2)
def test_halo_field_data(redshift, kwargs):
print("Options used for the test: ", kwargs)
# First get pre-made data
with h5py.File(prd.get_filename_halo(redshift, **kwargs), "r") as f:
n_pt_halos = f["n_pt_halos"][...]
pt_halo_masses = f["pt_halo_masses"][...]
with global_params.use(zprime_step_factor=prd.DEFAULT_ZPRIME_STEP_FACTOR):
# Note that if zprime_step_factor is set in kwargs, it will over-ride this.
pt_halos = prd.produce_halo_field_data(redshift, **kwargs)
assert np.allclose(n_pt_halos, pt_halos.n_halos, atol=5e-3, rtol=1e-3)
assert np.allclose(np.sum(pt_halo_masses),
np.sum(pt_halos.halo_masses),
atol=5e-3,
rtol=1e-3)
def test_power_spectra_lightcone(name, module_direc, plt):
redshift, kwargs = prd.OPTIONS[name]
print(f"Options used for the test at z={redshift}: ", kwargs)
# First get pre-made data
with h5py.File(prd.get_filename("power_spectra", name), "r") as fl:
true_powers = {}
true_global = {}
for key in fl["lightcone"].keys():
if key.startswith("power_"):
true_powers["_".join(
key.split("_")[1:])] = fl["lightcone"][key][...]
elif key.startswith("global_"):
true_global[key] = fl["lightcone"][key][...]
# Now compute the lightcone
with config.use(direc=module_direc, regenerate=False, write=True):
with global_params.use(
zprime_step_factor=prd.DEFAULT_ZPRIME_STEP_FACTOR):
# Note that if zprime_step_factor is set in kwargs, it will over-ride this.
test_k, test_powers, lc = prd.produce_lc_power_spectra(
redshift, **kwargs)
if plt == mpl.pyplot:
make_lightcone_comparison_plot(test_k, lc.node_redshifts, true_powers,
true_global, test_powers, lc, plt)
for key, value in true_powers.items():
print(f"Testing {key}")
# Ensure all but 10 of the values is within 1%, and none of the values
# is outside 10%
assert np.sum(
~np.isclose(value, test_powers[key], atol=0, rtol=1e-2)) < 10
assert np.allclose(value, test_powers[key], atol=0, rtol=1e-1)
for key, value in true_global.items():
print(f"Testing Global {key}")
assert np.allclose(value, getattr(lc, key), atol=0, rtol=1e-3)