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Little changes to plotting

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rstiskalek 2023-08-04 09:26:28 +01:00
parent 99d0232d7d
commit ff395af148
1 changed files with 20 additions and 11 deletions
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31
scripts_plots/plot_data.py
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@ -145,9 +145,10 @@ def plot_hmf(pdf=False):
csiborg_counts = numpy.full((len(csiborg_nsims), len(bins) - 1), csiborg_counts = numpy.full((len(csiborg_nsims), len(bins) - 1),
numpy.nan, dtype=numpy.float32) numpy.nan, dtype=numpy.float32)
csiborg_counts[i, :] = data["counts"] csiborg_counts[i, :] = data["counts"]
print(data["counts"]) # csiborg_counts /= numpy.diff(bins).reshape(1, -1)
print(csiborg_counts)
csiborg_counts /= numpy.diff(bins).reshape(1, -1) csiborg5511 = numpy.load(paths.halo_counts("csiborg", 5511))["counts"]
# csiborg5511 /= numpy.diff(data["bins"])
print("Loading Quijote halo counts.", flush=True) print("Loading Quijote halo counts.", flush=True)
quijote_nsims = paths.get_ics("quijote") quijote_nsims = paths.get_ics("quijote")
@ -160,11 +161,12 @@ def plot_hmf(pdf=False):
(len(quijote_nsims) * nmax, len(bins) - 1), numpy.nan, (len(quijote_nsims) * nmax, len(bins) - 1), numpy.nan,
dtype=numpy.float32) dtype=numpy.float32)
quijote_counts[i * nmax:(i + 1) * nmax, :] = data["counts"] quijote_counts[i * nmax:(i + 1) * nmax, :] = data["counts"]
quijote_counts /= numpy.diff(bins).reshape(1, -1) # quijote_counts /= numpy.diff(bins).reshape(1, -1)
vol = 155.5**3 # vol = 155.5**3
csiborg_counts /= vol # csiborg_counts /= vol
quijote_counts /= vol # quijote_counts /= vol
# csiborg5511 /= vol
x = 10**(0.5 * (bins[1:] + bins[:-1])) x = 10**(0.5 * (bins[1:] + bins[:-1]))
# Edit lower limits # Edit lower limits
@ -173,11 +175,12 @@ def plot_hmf(pdf=False):
# Edit upper limits # Edit upper limits
csiborg_counts[:, x > 3e15] = numpy.nan csiborg_counts[:, x > 3e15] = numpy.nan
quijote_counts[:, x > 3e15] = numpy.nan quijote_counts[:, x > 3e15] = numpy.nan
csiborg5511[x > 3e15] = numpy.nan
with plt.style.context(plt_utils.mplstyle): with plt.style.context(plt_utils.mplstyle):
fig, ax = plt.subplots(nrows=2, sharex=True, fig, ax = plt.subplots(nrows=2, sharex=True,
figsize=(3.5, 2.625 * 1.25), figsize=(3.5, 2.625 * 1.25),
gridspec_kw={"height_ratios": [1, 0.65]}) gridspec_kw={"height_ratios": [1, 0.45]})
fig.subplots_adjust(hspace=0, wspace=0) fig.subplots_adjust(hspace=0, wspace=0)
# Upper panel data # Upper panel data
@ -192,6 +195,11 @@ def plot_hmf(pdf=False):
ax[0].plot(x, mean_quijote, label="Quijote") ax[0].plot(x, mean_quijote, label="Quijote")
ax[0].fill_between(x, mean_quijote - std_quijote, ax[0].fill_between(x, mean_quijote - std_quijote,
mean_quijote + std_quijote, alpha=0.5) mean_quijote + std_quijote, alpha=0.5)
ax[0].plot(x, csiborg5511, label="CSiBORG 5511", c="k", ls="--")
std5511 = numpy.sqrt(csiborg5511)
ax[0].fill_between(x, csiborg5511 - std_csiborg, csiborg5511 + std5511,
alpha=0.2, color="k")
# Lower panel data # Lower panel data
log_y = numpy.log10(mean_csiborg / mean_quijote) log_y = numpy.log10(mean_csiborg / mean_quijote)
err = numpy.sqrt((std_csiborg / mean_csiborg / numpy.log(10))**2 err = numpy.sqrt((std_csiborg / mean_csiborg / numpy.log(10))**2
@ -203,8 +211,9 @@ def plot_hmf(pdf=False):
# Labels and accesories # Labels and accesories
ax[1].axhline(1, color="k", ls="--", ax[1].axhline(1, color="k", ls="--",
lw=0.5 * plt.rcParams["lines.linewidth"], zorder=0) lw=0.5 * plt.rcParams["lines.linewidth"], zorder=0)
ax[0].set_ylabel(r"$\frac{\mathrm{d}^2 N}{\mathrm{d} V \mathrm{d}\log M_{\rm tot}}~[\mathrm{dex}^{-1} (\mathrm{Mpc} / h)^{-3}]$", # noqa # ax[0].set_ylabel(r"$\frac{\mathrm{d}^2 N}{\mathrm{d} V \mathrm{d}\log M_{\rm tot}}~[\mathrm{dex}^{-1} (\mathrm{Mpc} / h)^{-3}]$", # noqa
fontsize="small") # fontsize="small")
ax[0].set_ylabel("Counts in bins")
ax[1].set_xlabel(r"$M_{\rm tot}~[M_\odot / h]$", fontsize="small") ax[1].set_xlabel(r"$M_{\rm tot}~[M_\odot / h]$", fontsize="small")
ax[1].set_ylabel(r"$\mathrm{CSiBORG} / \mathrm{Quijote}$", ax[1].set_ylabel(r"$\mathrm{CSiBORG} / \mathrm{Quijote}$",
fontsize="small") fontsize="small")
@ -213,7 +222,7 @@ def plot_hmf(pdf=False):
ax[0].set_yscale("log") ax[0].set_yscale("log")
ax[1].set_ylim(0.5, 2.0) ax[1].set_ylim(0.5, 2.0)
# ax[1].set_yscale("log") # ax[1].set_yscale("log")
ax[0].legend() ax[0].legend(fontsize="small")
fig.tight_layout(h_pad=0, w_pad=0) fig.tight_layout(h_pad=0, w_pad=0)
for ext in ["png"] if pdf is False else ["png", "pdf"]: for ext in ["png"] if pdf is False else ["png", "pdf"]: