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https://github.com/Richard-Sti/csiborgtools_public.git
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5dd8c668fa
* Simplify smoothing support and looping over nonzero * Simplify comments * add now() * add cat length * add smoothed calculation * add smoothing * Add sorting * Edit what is ignored * Move notebooks * Add nonsymmetric smoothed overlap * Update NB * Add support for reading in the smoothed overlap * Switch to the true overlap definition * Reader of the true overlap * rem occups * Import moved to a class * Move definition * Edit submission script * Update to account for the new definition * backup nb * Switch back to properly initialising arrays * Fix addition bug * Update NB * Fix little bug * Update nb
1.1 MiB
1.1 MiB
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 [2]:
obs = utils.load_2mpp()
cols = ["ra", "dec", "mass_cl", "dist"]
mmains = utils.load_mmains(1)
mmains = csiborgtools.utils.list_to_ndarray(mmains, cols)
sim = mmains[0, ...]
sim = csiborgtools.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()
In [ ]: