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eb1797e8a9
* Get rid of utils * Clean up imports * Move some utils here * Rename file * Add simname to boxsize * Add imports * Delete old files * Update README * Update imports * Add a new draft of the density calculator * Update fields * Draft of new density field calculatiosn * Add snapshot * Add boxsizes * Little updates * Bring back utils * Edit docstrings * Edits imports * Add progress on snapshots * edit improts * add basic snapshot catalogue * Add support for CSiBORG2 snapshot reader * add paths to fofcat for csiborg2 * Add more imports * Add more boxsize * Add more imports * Add field readers * Simplify field paths * Fix typo * Add observer vp * Clean up density field calculation * Add a short note * Edit args * Remove old comments * Edit docs * Remove blank line * Stop flipping RAMSES * Remove comment * Edit desc * Remove normalization * Remove old dist array * Remove non-volume weighting * Remove non-volume weight * Add ignore of flake8 notebooks * Fix path typo * Fix units * Edit paths docs * Update nb
764 KiB
764 KiB
In [1]:
import matplotlib.pyplot as plt
import numpy
import scienceplots
from h5py import File
import plt_utils
%load_ext autoreload
%autoreload 2
In [12]:
with File("/mnt/extraspace/rstiskalek/csiborg_postprocessing/ACL/BORG2_0.25.hdf5", 'r') as f:
voxel_acl = f['voxel_acl'][...].flatten()
voxel_dist = f['voxel_dist'][...].flatten()
In [28]:
bins = numpy.linspace(0, 100, 10)
plt.figure()
mask = voxel_dist < 20
plt.hist(voxel_acl[mask], bins="auto", histtype='step', density=1, label=r"$0 < R / (\mathrm{Mpc} / h) < 20$")
mask = (voxel_dist > 20) & (voxel_dist < 40)
plt.hist(voxel_acl[mask], bins="auto", histtype='step', density=1, label=r"$20 < R / (\mathrm{Mpc} / h) < 40$")
mask = (voxel_dist > 40) & (voxel_dist < 60)
plt.hist(voxel_acl[mask], bins="auto", histtype='step', density=1, label=r"$40 < R / (\mathrm{Mpc} / h) < 60$")
# plt.scatter(voxel_dist.flatten(), voxel_acl.flatten(), s=0.1)
plt.legend()
plt.title("ACL of individual voxels")
plt.xlabel(r"$\mathrm{ACL}$")
plt.ylabel(r"Normalized bin counts")
plt.tight_layout()
plt.savefig("../plots/BORG_Stephen_ACL.png", dpi=450)
plt.show()
In [ ]: