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Add 1NN histogram

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rstiskalek 2023-05-22 13:42:10 +01:00
parent fa2b3551c1
commit 10b355954b
1 changed files with 44 additions and 7 deletions
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51
scripts_plots/plot_nearest.py
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@ -14,8 +14,10 @@
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
from argparse import ArgumentParser from argparse import ArgumentParser
from os.path import join
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import numpy
import scienceplots # noqa import scienceplots # noqa
from cache_to_disk import cache_to_disk, delete_disk_caches_for_function from cache_to_disk import cache_to_disk, delete_disk_caches_for_function
@ -31,19 +33,23 @@ except ModuleNotFoundError:
@cache_to_disk(7) @cache_to_disk(7)
def read_cdf(simname, run, kwargs): def read_cdf(simname, run, kwargs):
"""Read the CDFs. Caches them to disk"""
paths = csiborgtools.read.Paths(**kwargs["paths_kind"]) paths = csiborgtools.read.Paths(**kwargs["paths_kind"])
reader = csiborgtools.read.NearestNeighbourReader(**kwargs, paths=paths) reader = csiborgtools.read.NearestNeighbourReader(**kwargs, paths=paths)
return reader.build_cdf(simname, run, verbose=True) return reader.build_cdf(simname, run, verbose=True)
def plot_cdf(kwargs): def plot_cdf(run, kwargs):
"""
Plot the CDF of the nearest neighbour distance for Quijote and CSiBORG.
"""
print("Plotting the CDFs.", flush=True) print("Plotting the CDFs.", flush=True)
paths = csiborgtools.read.Paths(**kwargs["paths_kind"]) paths = csiborgtools.read.Paths(**kwargs["paths_kind"])
reader = csiborgtools.read.NearestNeighbourReader(**kwargs, paths=paths) reader = csiborgtools.read.NearestNeighbourReader(**kwargs, paths=paths)
x = reader.bin_centres("neighbour") x = reader.bin_centres("neighbour")
y_quijote = read_cdf("quijote", "mass003", kwargs) y_quijote = read_cdf("quijote", run, kwargs)
y_csiborg = read_cdf("csiborg", "mass003", kwargs) y_csiborg = read_cdf("csiborg", run, kwargs)
ncdf = y_quijote.shape[0] ncdf = y_quijote.shape[0]
with plt.style.context(utils.mplstyle): with plt.style.context(utils.mplstyle):
@ -60,12 +66,40 @@ def plot_cdf(kwargs):
plt.xlim(0, 75) plt.xlim(0, 75)
plt.ylim(0, 1) plt.ylim(0, 1)
plt.xlabel(r"$r_{\rm neighbour}~[\mathrm{Mpc}]$") plt.xlabel(r"$r_{\rm neighbour}~[\mathrm{Mpc}]$")
plt.ylabel(r"$\mathrm{CDF}(r_{\rm neighbour})$") plt.ylabel(r"$\mathrm{CDF}(r_{1\mathrm{N}})$")
plt.legend() plt.legend()
plt.tight_layout() plt.tight_layout()
plt.savefig("../plots/nearest_neighbour_cdf.png", dpi=450, for ext in ["png"]:
bbox_inches="tight") fout = join(utils.fout, f"1nn_cdf_{run}.{ext}")
print(f"Saving to `{fout}`.")
plt.savefig(fout, dpi=utils.dpi, bbox_inches="tight")
plt.close()
def plot_significance_hist(run, nsim, kwargs):
"""
Plot the histogram of the significance of the 1NN distance for CSiBORG.
"""
paths = csiborgtools.read.Paths(**kwargs["paths_kind"])
reader = csiborgtools.read.NearestNeighbourReader(**kwargs, paths=paths)
cdf = read_cdf("quijote", run, kwargs)
x = reader.calc_significance("csiborg", run, nsim, cdf)
x = x[numpy.isfinite(x)]
with plt.style.context(utils.mplstyle):
plt.figure()
plt.hist(x, bins="auto")
plt.xlabel(r"$r_{1\mathrm{N}}$ significance $\mathrm{[\sigma]}$")
plt.ylabel(r"Counts")
plt.tight_layout()
for ext in ["png"]:
fout = join(utils.fout, f"sigma_{run}_{str(nsim).zfill(5)}.{ext}")
print(f"Saving to `{fout}`.")
plt.savefig(fout, dpi=utils.dpi, bbox_inches="tight")
plt.close() plt.close()
@ -86,4 +120,7 @@ if __name__ == "__main__":
print(f"Cleaning cache for function {func}.") print(f"Cleaning cache for function {func}.")
delete_disk_caches_for_function(func) delete_disk_caches_for_function(func)
plot_cdf(kwargs) # paths = csiborgtools.read.Paths(**kwargs["paths_kind"])
# reader = csiborgtools.read.NearestNeighbourReader(**kwargs, paths=paths)
plot_significance_hist("mass003", 7444, kwargs)