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csiborgtools/notebooks/plot_galaxy_distribution.ipynb
Richard Stiskalek 5dd8c668fa
Gaussian smoothing of density fields (#33) 
* 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
2023-03-27 09:22:03 +01:00

1.1 MiB
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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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# 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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