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Update units to be consistent. (#78)

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* Fix Quijote units

* Updates to units

* Fix how things are loaded

* Updating definitions & conventions

* Clear up how fiducial observers in quijote work

* Refactorize array manip

* Move function definition

* More code refactoring

* Remove unused argument

* Remove `convert_from_box`

* Make a note

* Converting particle units

* Add notes about units

* Remove box constants

* Add rho_crit0

* Fix spherical overdensity mass units

* Refactor more code

* Edit catalogue kwargs

* Edit the docstring

* Edit bounds

* Add new checks for empty array

* Remove unused import

* Remove old code

* Remove old function

* Update real 2 redshift

* Clear up the RSP conv

* Add comments

* Add some units
This commit is contained in:
Richard Stiskalek 2023-07-28 21:07:28 +02:00 • committed by GitHub
parent fb4b4edf19
commit acb8d9571c
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23 changed files with 695 additions and 1079 deletions
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18
scripts_plots/plot_data.py
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@ -49,8 +49,10 @@ def open_csiborg(nsim):
cat : csiborgtools.read.CSiBORGHaloCatalogue
"""
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
bounds = {"totpartmass": (None, None), "dist": (0, 155/0.705)}
return csiborgtools.read.CSiBORGHaloCatalogue(nsim, paths, bounds=bounds)
bounds = {"totpartmass": (None, None), "dist": (0, 155)}
return csiborgtools.read.CSiBORGHaloCatalogue(
nsim, paths, bounds=bounds, load_fitted=True, load_initial=True,
with_lagpatch=False)
def open_quijote(nsim, nobs=None):
@ -69,9 +71,11 @@ def open_quijote(nsim, nobs=None):
cat : csiborgtools.read.QuijoteHaloCatalogue
"""
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
cat = csiborgtools.read.QuijoteHaloCatalogue(nsim, paths, nsnap=4)
cat = csiborgtools.read.QuijoteHaloCatalogue(
nsim, paths, nsnap=4, load_fitted=True, load_initial=True,
with_lagpatch=False)
if nobs is not None:
cat = cat.pick_fiducial_observer(nobs, rmax=155.5 / 0.705)
cat = cat.pick_fiducial_observer(nobs, rmax=155.5)
return cat
@ -101,7 +105,7 @@ def plot_mass_vs_ncells(nsim, pdf=False):
plt.yscale("log")
for n in [1, 10, 100]:
plt.axvline(n * 512 * mpart, c="black", ls="--", zorder=0, lw=0.8)
plt.xlabel(r"$M_{\rm tot} / M_\odot$")
plt.xlabel(r"$M_{\rm tot} ~ [M_\odot$ / h]")
plt.ylabel(r"$N_{\rm cells}$")
for ext in ["png"] if pdf is False else ["png", "pdf"]:
@ -198,7 +202,7 @@ def plot_hmf(pdf=False):
ax[1].axhline(1, color="k", ls=plt.rcParams["lines.linestyle"],
lw=0.5 * plt.rcParams["lines.linewidth"], zorder=0)
ax[0].set_ylabel(r"$\frac{\mathrm{d} n}{\mathrm{d}\log M_{\rm h}}~\mathrm{dex}^{-1}$") # noqa
ax[1].set_xlabel(r"$M_{\rm h}$ [$M_\odot$]")
ax[1].set_xlabel(r"$M_{\rm h}~[M_\odot / h]$")
ax[1].set_ylabel(r"$\mathrm{CSiBORG} / \mathrm{Quijote}$")
ax[0].set_xscale("log")
@ -268,7 +272,7 @@ def plot_hmf_quijote_full(pdf=False):
lw=0.5 * plt.rcParams["lines.linewidth"], zorder=0)
ax[0].set_ylabel(r"$\frac{\mathrm{d}^2 n}{\mathrm{d}\log M_{\rm h} \mathrm{d} V}~[\mathrm{dex}^{-1} (\mathrm{Mpc / h})^{-3}]$", # noqa
fontsize="small")
ax[1].set_xlabel(r"$M_{\rm h}$ [$M_\odot$]")
ax[1].set_xlabel(r"$M_{\rm h}~[$M_\odot / h]$", fontsize="small")
ax[1].set_ylabel(r"$\mathrm{HMF} / \langle \mathrm{HMF} \rangle$",
fontsize="small")