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