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https://github.com/Richard-Sti/csiborgtools.git
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7f58b1f78c
* change to log10 initlogRs * add uncertainty * add check if hessian negative * update TODO * update TODO * output the error too * save e_logRs * add concentration calculation * calcul concentration * missed comma in a list * Update TODO * fix bug * add box units and pretty status * make uncertainty optional * add BIC function * remove BIC again * add new overdensity calculation * change defualt values to max dist and mass * change to r200 * new halo find * speed up the calculation * add commented fucn * update TODO * add check whether too close to outside boundary * Update TODO * extract velocity as well * calculate m200 and m500 * update nb * update TODO
340 KiB
340 KiB
In [2]:
import numpy as np
import healpy as hp
%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 [110]:
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 [119]:
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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fpath = "/mnt/zfsusers/rstiskalek/csiborgtools/data/HFI_PCCS_SZ-union_R2.08.fits"
obs = csiborgtools.io.read_planck2015(fpath, cosmo, 214)
c1 = SkyCoord(ra=obs["RA"]*u.degree, dec=obs["DEC"]*u.degree, distance=obs["COMDIST"]*u.Mpc)
c2 = SkyCoord(ra=sim["ra"]*u.degree, dec=sim["dec"]*u.degree, distance=sim["dist"]*u.Mpc)
sep, indxs = csiborgtools.match.brute_spatial_separation(c1, c2, N=100, angular=False, verbose=True, )
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