csiborgtools/scripts/readsim.ipynb
Richard Stiskalek 53a0629d90
Basic matching (#2)
* add recarray manipulations

* add cart to radec

* add behav so x can be a list

* add import

* create empty files

* ignore plots file

* add planck data

* add read_mmain file

* add cols_to_structured import

* use cols_to_structured

* add cols_to_structued

* add read_mmain import

* add reading planck

* add mass conversion

* add brute force separation calculation

* update nb

* rename & int dtype

* add func to get csiborg ids

* add list to nd array conversion

* add utils

* rename file

* add 2M++

* add read 2mpp

* add 2mpp shortcut

* add randoms generator

* Change range of RA [0, 360]

* fix ang wrapping

* add code for sphere 2pcf

* rm wrapping

* optionally load only a few borgs

* update nb
2022-10-18 19:41:20 +01:00

1.3 MiB

In [1]:
import numpy as np
%matplotlib notebook
import matplotlib.pyplot as plt
try:
    import csiborgtools
except ModuleNotFoundError:
    import sys
    sys.path.append("../")
    import csiborgtools
import utils
%load_ext autoreload
%autoreload 2

import joblib
from os.path import join
from glob import glob
In [2]:
Nsim = 9844
simpath = csiborgtools.io.get_sim_path(Nsim)
Nsnap = 1016

outfname = join(utils.dumpdir, "ramses_out_{}_{}.npy".format(str(Nsim).zfill(5), str(Nsnap).zfill(5)))

mmain = csiborgtools.io.read_mmain(Nsim, "/mnt/zfsusers/hdesmond/Mmain")

data = np.load(outfname)
data = csiborgtools.io.merge_mmain_to_clumps(data, mmain)

data = data[(data["npart"] > 100) & np.isfinite(data["m200"])]

CSiBORGBox = csiborgtools.units.CSiBORGBox(Nsnap, simpath)
In [22]:
R = np.sqrt((data["peak_x"] - 0.5)**2 + (data["peak_y"] - 0.5)**2 + (data["peak_z"] - 0.5)**2)
In [29]:
CSiBORGBox.box2kpc(0.21) * 1e-3
Out[29]:
201.86808958975962
In [30]:
plt.figure()
plt.hist(R, bins="auto")

plt.axvline(0.22, c="red")

plt.show()
No description has been provided for this image
In [34]:
mass = CSiBORGBox.box2solarmass(data["m200"])
Out[34]:
43830404417.54772
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In [3]:
# Nsplit = 0
# loaddir = join(utils.dumpdir, "temp")
# parts, part_clumps, clumps = csiborgtools.fits.load_split_particles(
#     Nsplit, loaddir, Nsim, Nsnap, remove_split=False)
In [43]:
# n = 584
# xs = csiborgtools.fits.pick_single_clump(n, parts, part_clumps, clumps)
# halo = csiborgtools.fits.Clump.from_arrays(*xs, rhoc=CSiBORGBox.box_rhoc)
# print(halo.Npart)
1306
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