mirror of
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 sys
import numpy as np
import matplotlib.pyplot as plt
import scienceplots
import astroquery
from tqdm import trange, tqdm
sys.path.append("../")
import csiborgtools
%matplotlib widget
%load_ext autoreload
%autoreload 2
In [38]:
# # Norma
cluster = {"RA": (16 + 15 / 60 + 32.8 / 60**2) * 15,
"DEC": -60 + 54 / 60 + 30 / 60**2,
"DIST": 67.8}
Xclust = np.array([cluster["DIST"], cluster["RA"], cluster["DEC"]]).reshape(1, -1)
In [39]:
paths = csiborgtools.read.Paths(**csiborgtools.paths_glamdring)
nsims = paths.get_ics(False)
In [29]:
Xclust = np.array([cluster["DIST"], cluster["RA"], cluster["DEC"]]).reshape(1, -1)
In [33]:
matches = np.full(len(nsims), np.nan)
for ii in trange(101):
cat = csiborgtools.read.HaloCatalogue(nsims[ii], paths, minmass=('M', 1e13))
dist, ind = cat.angular_neighbours(Xclust, ang_radius=5, rad_tolerance=10)
dist = dist[0]
ind = ind[0]
if ind.size > 0:
matches[ii] = np.max(cat['M'][ind])
In [37]:
x = np.log10(matches[~np.isnan(matches)])
plt.figure()
plt.hist(x, bins=10)
plt.show()
In [ ]: