mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-23 02:18:02 +00:00
66 lines
2.1 KiB
Python
66 lines
2.1 KiB
Python
|
# Copyright (C) 2024 Richard Stiskalek
|
||
|
|
# This program is free software; you can redistribute it and/or modify it
|
||
|
|
# under the terms of the GNU General Public License as published by the
|
||
|
|
# Free Software Foundation; either version 3 of the License, or (at your
|
||
|
|
# option) any later version.
|
||
|
|
#
|
||
|
|
# This program is distributed in the hope that it will be useful, but
|
||
|
|
# WITHOUT ANY WARRANTY; without even the implied warranty of
|
||
|
|
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
|
||
|
|
# Public License for more details.
|
||
|
|
#
|
||
|
|
# You should have received a copy of the GNU General Public License along
|
||
|
|
# with this program; if not, write to the Free Software Foundation, Inc.,
|
||
|
|
# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
|
||
|
|
"""Script to help with plots in `flow_calibration.ipynb`."""
|
||
|
|
from os.path import exists, join
|
||
|
|
|
||
|
|
import csiborgtools
|
||
|
|
import numpy as np
|
||
|
|
from astropy import units as u
|
||
|
|
from astropy.cosmology import FlatLambdaCDM
|
||
|
|
|
||
|
|
FDIR = "/mnt/extraspace/rstiskalek/csiborg_postprocessing/field_shells"
|
||
|
|
|
||
|
|
|
||
|
|
def read_enclosed_density(simname):
|
||
|
|
fname = join(FDIR, f"enclosed_mass_{simname}.npz")
|
||
|
|
|
||
|
|
if exists(fname):
|
||
|
|
data = np.load(fname)
|
||
|
|
else:
|
||
|
|
raise FileNotFoundError(f"File `{fname}` not found.")
|
||
|
|
|
||
|
|
Om0 = csiborgtools.simname2Omega_m(simname)
|
||
|
|
cosmo = FlatLambdaCDM(H0=100, Om0=Om0)
|
||
|
|
rho_matter = Om0 * cosmo.critical_density(0).to(u.M_sun / u.Mpc**3).value
|
||
|
|
|
||
|
|
r = data["distances"]
|
||
|
|
volume = 4 * np.pi / 3 * r**3
|
||
|
|
|
||
|
|
overdensity = data["enclosed_mass"] / volume / rho_matter - 1
|
||
|
|
|
||
|
|
return r, overdensity
|
||
|
|
|
||
|
|
|
||
|
|
def read_enclosed_flow(simname):
|
||
|
|
fname = join(FDIR, f"enclosed_mass_{simname}.npz")
|
||
|
|
|
||
|
|
if exists(fname):
|
||
|
|
data = np.load(fname)
|
||
|
|
else:
|
||
|
|
raise FileNotFoundError(f"File {fname} not found.")
|
||
|
|
|
||
|
|
r = data["distances"]
|
||
|
|
V = data["cumulative_velocity"]
|
||
|
|
nsim, nbin = V.shape[:2]
|
||
|
|
Vmag = np.linalg.norm(V, axis=-1)
|
||
|
|
l = np.empty((nsim, nbin), dtype=V.dtype) # noqa
|
||
|
|
b = np.empty_like(l)
|
||
|
|
|
||
|
|
for n in range(nsim):
|
||
|
|
V_n = csiborgtools.cartesian_to_radec(V[n])
|
||
|
|
l[n], b[n] = csiborgtools.flow.radec_to_galactic(V_n[:, 1], V_n[:, 2])
|
||
|
|
|
||
|
|
return r, Vmag, l, b
|