mirror of
https://github.com/Richard-Sti/csiborgtools.git
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eb8d070fff
* Add moving FoF membership files * add FoF membership path * Add notes where its PHEW * Add FoF catalogue path * Correct typo * Add more functionalities * Make work with halo IDs from FoF * Edit print statement * Fix copy bug * copy * Add FoF catalogue reading * Clean up script * Fix typo * Little edits * Fix naming convention * Rename key * Remove loading substructure particles * Rename CSiBORG Cat * Rename clumps cat * Rename cat * Remove misplaced import * Switch to halos * rm import * structfit of only halos * Add FoF halo reading * Add a short comment * Fix __getitem__ to work with int * Fix problems * Improve __getitem__ * Add more conversion * Fix indexing * Fix __getitem__ assertion * Fix numbers * Rename * Fix verbosity flags * Add full Quijote HMF option * Add plot of Quijote only * Add quijote full paths * Fix the fit_init script * Renam arg * Update .gitignore * add default argument name * Change default verbosity flag * Modernise script structure * Fix dictionary * Fix reading to include m200c * Modernise script * Add args
25 KiB
25 KiB
In [1]:
import numpy as np
%matplotlib notebook
import matplotlib.pyplot as plt
# Local imports
try:
import csiborgtools
except ModuleNotFoundError:
import sys
sys.path.append("../")
import csiborgtools
import utils
%load_ext autoreload
%autoreload 2
In [28]:
Nsim = 9844
Nsnap = 1016
sim = utils.load_processed(Nsim, Nsnap)
sim = sim[sim["dist"] < 200]
gals = utils.load_2mpp()
gals = gals[gals["CDIST_CMB"] < 200]
planck = utils.load_planck2015()
In [101]:
dx = 40
dmin = 100
dmax = dmin + dx
mask_obs = (dmin < gals["CDIST_CMB"]) & (gals["CDIST_CMB"] < dmax)
mask_sim = (dmin < sim["dist"]) & (sim["dist"] < dmax) & (sim["m200"] > 1e12)
mask_planck = (dmin < planck["COMDIST"]) & (planck["COMDIST"] < dmax)
print(mask_planck.sum())
plt.figure()
plt.scatter(sim["ra"][mask_sim], sim["dec"][mask_sim], s=1, label="CSiBORG")
plt.scatter(gals["RA"][mask_obs], gals["DEC"][mask_obs], s=1, label="2M++")
plt.scatter(planck["RA"][mask_planck], planck["DEC"][mask_planck], s=50, label="Planck", c="m")
plt.legend()
plt.title(r"$M_{{200c}} > 10^{{12}} M_\odot$ and ${}~\mathrm{{Mpc}} < D_{{c}} < {}~\mathrm{{Mpc}}$"
.format(dmin, dmax))
plt.xlabel(r"$\mathrm{RA}$")
plt.ylabel(r"$\delta$")
plt.savefig("../plots/sky_comparison.png", dpi=400)
plt.show()
In [75]:
planck = utils.load_planck2015(1500)
plt.figure()
plt.scatter(planck["COMDIST"], planck["MSZ"], s=3)
plt.axvline(200, c="red", zorder=0)
plt.title("Planck clusters")
plt.xlabel(r"$D_{c}~[\mathrm{Mpc}]$")
plt.ylabel(r"$M_{500c}$")
plt.yscale("log")
plt.tight_layout()
plt.savefig("../plots/planck_mass_dist.png", dpi=450)
plt.show()
In [77]:
planck = utils.load_planck2015(200)
In [103]:
mask_sim = sim["m500"] > 1e14
mask_planck = planck["MSZ"] > 1e14
plt.figure()
plt.scatter(planck["RA"], planck["DEC"], label="Planck", c=np.log10(planck["MSZ"]))
plt.colorbar()
plt.scatter(sim["ra"][mask_sim], sim["dec"][mask_sim], label="CSiBORG", c="red", s=3, zorder=1)
plt.legend(loc=2)
plt.title(r"Sky comparison of CSiBORG and Planck of $M_{500c} > 10^{14} M_\odot$")
plt.xlabel(r"$\mathrm{RA}$")
plt.ylabel(r"$\delta$")
plt.tight_layout()
plt.savefig("../plots/clusters_positions.png", dpi=450)
plt.show()
In [ ]: