mirror of
https://github.com/Richard-Sti/csiborgtools.git
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9e4b34f579
* Update README * Update density field reader * Update name of SDSSxALFAFA * Fix quick bug * Add little fixes * Update README * Put back fit_init * Add paths to initial snapshots * Add export * Remove some choices * Edit README * Add Jens' comments * Organize imports * Rename snapshot * Add additional print statement * Add paths to initial snapshots * Add masses to the initial files * Add normalization * Edit README * Update README * Fix bug in CSiBORG1 so that does not read fof_00001 * Edit README * Edit README * Overwrite comments * Add paths to init lag * Fix Quijote path * Add lagpatch * Edit submits * Update README * Fix numpy int problem * Update README * Add a flag to keep the snapshots open when fitting * Add a flag to keep snapshots open * Comment out some path issue * Keep snapshots open * Access directly snasphot * Add lagpatch for CSiBORG2 * Add treatment of x-z coordinates flipping * Add radial velocity field loader * Update README * Add lagpatch to Quijote * Fix typo * Add setter * Fix typo * Update README * Add output halo cat as ASCII * Add import * Add halo plot * Update README * Add evaluating field at radial distanfe * Add field shell evaluation * Add enclosed mass computation * Add BORG2 import * Add BORG boxsize * Add BORG paths * Edit run * Add BORG2 overdensity field * Add bulk flow clauclation * Update README * Add new plots * Add nbs * Edit paper * Update plotting * Fix overlap paths to contain simname * Add normalization of positions * Add default paths to CSiBORG1 * Add overlap path simname * Fix little things * Add CSiBORG2 catalogue * Update README * Add import * Add TNG density field constructor * Add TNG density * Add draft of calculating BORG ACL * Fix bug * Add ACL of enclosed density * Add nmean acl * Add galaxy bias calculation * Add BORG acl notebook * Add enclosed mass calculation * Add TNG300-1 dir * Add TNG300 and BORG1 dir * Update nb
50 KiB
50 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.CSiBORGPaths(**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 [ ]: