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https://github.com/Richard-Sti/csiborgtools.git
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1d847cbd06
* Rename paths object * Remove redshift calculation * Explicit keywrod arg * Rename box units * Basic renaming * Little docs * Rename paths * add imports * Sort imports * Add Quijote cat * Split boxes * add Quijote path * Add origin argument * Update nbs
104 KiB
104 KiB
In [1]:
import numpy as np
%matplotlib notebook
import matplotlib.pyplot as plt
# Local imports
try:
import galomatch
except ModuleNotFoundError:
import sys
sys.path.append("../")
import galomatch
import utils
%load_ext autoreload
%autoreload 2
In [2]:
obs = utils.load_2mpp()
cols = ["ra", "dec", "mass_cl", "dist"]
mmains = utils.load_mmains(1)
mmains = galomatch.utils.list_to_ndarray(mmains, cols)
sim = mmains[0, ...]
sim = galomatch.utils.array_to_structured(sim ,cols)
planck = utils.load_planck2015()
In [3]:
dx = 20
dmin = 125
dmax = dmin + dx
mask_obs = (dmin < obs["CDIST_CMB"]) & (obs["CDIST_CMB"] < dmax)
mask_sim = (dmin < sim["dist"]) & (sim["dist"] < dmax) & (sim["mass_cl"] > 1e12)
width = 6.4
plt.figure(figsize=(width, width*0.75))
plt.scatter(obs["RA"][mask_obs], obs["DEC"][mask_obs], s=1.5, label="2M++")
plt.scatter(sim["ra"][mask_sim] , sim["dec"][mask_sim], s=1.5, label="CSiBORG")
plt.scatter(planck["RA"], planck["DEC"], label="Planck SZ clusters < 214 MPc", c="red")
plt.legend()
plt.xlabel("RA")
plt.ylabel("dec")
plt.tight_layout()
# plt.savefig("../plots/2mpp_overlap.png", dpi=450)
plt.show()
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