mirror of
https://github.com/Richard-Sti/csiborgtools.git
synced 2024-12-22 23:48:02 +00:00
f7285b2600
* Add GoF calculation * Add import * Add base flow * Add reading of ndata * Update nb * Update plotting * Update script * Update plots * Updaet plo * Add script * Update nb * Update nb * Update script * Update script * Update nb * Remove imports * Improve labelling * Improve flow calibration * Add bulk flow plots * Update flow * Update scrit * Calculate more radial steps * Update bulk * Update script * Update nb
1.1 MiB
1.1 MiB
Tests of velocities of haloes in CSiBORG¶
In [1]:
import numpy as np
import matplotlib.pyplot as plt
import csiborgtools
from scipy.stats import spearmanr, binned_statistic
%matplotlib inline
%load_ext autoreload
%autoreload 2
FoF vs SPH velocity¶
In [2]:
kind = "main"
nsnap = 99
nsim = 17417
field_reader = csiborgtools.read.CSiBORG2Field(nsim, kind)
catalogue = csiborgtools.read.CSiBORG2Catalogue(nsim, nsnap, kind)
boxsize = csiborgtools.simname2boxsize("csiborg2_main")
In [3]:
velocity_field = field_reader.velocity_field("SPH", 1024)
In [4]:
pos = catalogue["cartesian_pos"] / boxsize
vel = catalogue["cartesian_vel"]
mass = catalogue["totmass"]
spherical_pos = catalogue["spherical_pos"]
RA = np.deg2rad(spherical_pos[:, 1])
dec = np.deg2rad(spherical_pos[:, 2])
def project_radial(vx, vy, vz, RA, dec):
return vx * np.cos(dec) * np.cos(RA) + vy * np.cos(dec) * np.sin(RA) + vz * np.sin(dec)
In [5]:
vx, vy, vz = csiborgtools.field.evaluate_cartesian_cic(velocity_field[0], velocity_field[1], velocity_field[2], pos=pos)
In [6]:
fig, axs = plt.subplots(1, 4, figsize=(15, 4))
fig.suptitle("Comparison of FoF to SPH velocities at the same position")
axs[0].hexbin(vel[:, 0], vx, gridsize=50, bins="log", mincnt=1)
axs[0].set_xlabel(r"FoF $v_x ~ [\mathrm{km} / \mathrm{s}]$")
axs[0].set_ylabel(r"SPH $v_x ~ [\mathrm{km} / \mathrm{s}]$")
axs[1].hexbin(vel[:, 1], vy, gridsize=50, bins="log", mincnt=1)
axs[1].set_xlabel(r"FoF $v_y ~ [\mathrm{km} / \mathrm{s}]$")
axs[1].set_ylabel(r"SPH $v_y ~ [\mathrm{km} / \mathrm{s}]$")
axs[2].hexbin(vel[:, 2], vz, gridsize=50, bins="log", mincnt=1)
axs[2].set_xlabel(r"FoF $v_z ~ [\mathrm{km} / \mathrm{s}]$")
axs[2].set_ylabel(r"SPH $v_z ~ [\mathrm{km} / \mathrm{s}]$")
vr_fof = project_radial(vel[:, 0], vel[:, 1], vel[:, 2], RA, dec)
vr_sph = project_radial(vx, vy, vz, RA, dec)
axs[3].hexbin(vr_fof, vr_sph, gridsize=50, bins="log", mincnt=1)
axs[3].set_xlabel(r"FoF $v_r ~ [\mathrm{km} / \mathrm{s}]$")
axs[3].set_ylabel(r"SPH $v_r ~ [\mathrm{km} / \mathrm{s}]$")
for i in range(4):
axs[i].axline([0, 0], [1, 1], color="red", ls="--")
fig.tight_layout()
fig.savefig("../plots/fof_to_sph_velocity_comparison.png")
fig.show()
Correlation of the peculiar velocity and total mass¶
In [7]:
kind = "main"
nsnap = 99
nsim = 17417
FoF haloes¶
In [8]:
catalogue = csiborgtools.read.CSiBORG2Catalogue(nsim, nsnap, kind)
vel = catalogue["cartesian_vel"]
mass = catalogue["totmass"]
velmag = np.linalg.norm(vel, axis=1)
spearmanr(mass, velmag)
Out[8]:
In [9]:
plt.figure()
plt.title("FoF velocity as a function of mass")
plt.hexbin(np.log10(mass), velmag, mincnt=1, bins="log")
plt.xlim(np.log10(np.min(mass)))
plt.ylim(0)
plt.xlabel(r"$\log M_{\rm FoF} ~ [M_\odot / h]$")
plt.ylabel(r"$V_{\rm pec} ~ [\mathrm{km} / \mathrm{s}]$")
plt.savefig("../plots/fof_velocity_to_mass.png", dpi=300, bbox_inches="tight")
plt.show()
Subfind subhaloes¶
In [23]:
catalogue = csiborgtools.read.CSiBORG2SUBFINDCatalogue(nsim, nsnap, kind)
mass = catalogue["totmass"]
vec = np.linalg.norm(catalogue["cartesian_vel"], axis=1)
is_central = catalogue["Central"]
def get_binned_trend(x, y, nbins=20):
median, bin_edges, __ = binned_statistic(x, y, bins=nbins, statistic="median")
lower, __, __ = binned_statistic(x, y, bins=nbins, statistic=lambda x: np.percentile(x, 16))
upper, __, __ = binned_statistic(x, y, bins=nbins, statistic=lambda x: np.percentile(x, 84))
std, __, __ = binned_statistic(x, y, bins=nbins, statistic="std")
xrange = (bin_edges[1:] + bin_edges[:-1]) / 2
std = (upper - lower) / 2
return xrange, median, lower, upper, std
In [25]:
nbins = 15
fig, axs = plt.subplots(1, 2, figsize=(10, 4))
# Centrals
mask = is_central & (mass > 1e12)
x, y = np.log10(mass[mask]), vec[mask]
xrange, median, lower, upper, std = get_binned_trend(x, y, nbins=nbins)
sigma_v, e_sigma_v = np.mean(std), np.std(std)
axs[0].set_title(r"Centrals, $\sigma_v = {:.1f} \pm {:.1f} ~ \mathrm{{km}} / \mathrm{{s}}$".format(sigma_v, e_sigma_v))
axs[0].hexbin(x, y, mincnt=1, bins="log")
axs[0].plot(xrange, median, color="red")
axs[0].fill_between(xrange, lower, upper, color="red", alpha=0.3)
# Satellites
mask = ~is_central & (mass > 1e12)
x, y = np.log10(mass[mask]), vec[mask]
xrange, median, lower, upper, std = get_binned_trend(x, y, nbins=nbins)
sigma_v, e_sigma_v = np.mean(std), np.std(std)
axs[1].set_title(r"Satellites, $\sigma_v = {:.1f} \pm {:.1f} ~ \mathrm{{km}} / \mathrm{{s}}$".format(sigma_v, e_sigma_v))
axs[1].hexbin(x, y, mincnt=1, bins="log")
axs[1].plot(xrange, median, color="red")
axs[1].fill_between(xrange, lower, upper, color="red", alpha=0.3)
for i in range(2):
axs[i].set_xlim(np.log10(1e12))
axs[i].set_ylim(0)
axs[i].set_xlabel(r"$\log M_{\rm tot} ~ [M_\odot / h]$")
axs[i].set_ylabel(r"$V_{\rm pec} ~ [\mathrm{km} / \mathrm{s}]$")
fig.tight_layout()
fig.savefig("../plots/velocity_to_mass_subhaloes.png", dpi=300, bbox_inches="tight")
fig.show()
SUBFIND haloes but subtracting the velocity of the velocity field¶
In [27]:
field_reader = csiborgtools.read.CSiBORG2Field(nsim, kind)
catalogue = csiborgtools.read.CSiBORG2SUBFINDCatalogue(nsim, nsnap, kind)
boxsize = csiborgtools.simname2boxsize("csiborg2_main")
mass = catalogue["totmass"]
pos = catalogue["cartesian_pos"] / boxsize
subfind_vel = catalogue["cartesian_vel"]
is_central = catalogue["Central"]
parent_mass = catalogue["ParentMass"]
In [13]:
velocity_field = field_reader.velocity_field("SPH", 1024)
In [19]:
vx, vy, vz = csiborgtools.field.evaluate_cartesian_cic(velocity_field[0], velocity_field[1], velocity_field[2], pos=pos)
residual_vel = np.copy(subfind_vel)
residual_vel[:, 0] -= vx
residual_vel[:, 1] -= vy
residual_vel[:, 2] -= vz
residual_vel_mag = np.linalg.norm(residual_vel, axis=1)
In [26]:
nbins = 15
fig, axs = plt.subplots(1, 2, figsize=(10, 4))
fig.suptitle("Residual velocity not accounted for by the SPH field.")
# Centrals
mask = is_central & (mass > 1e12)
x, y = np.log10(mass[mask]), residual_vel_mag[mask]
xrange, median, lower, upper, std = get_binned_trend(x, y, nbins=nbins)
sigma_v, e_sigma_v = np.mean(std), np.std(std)
axs[0].set_title(r"Centrals, $\sigma_v = {:.1f} \pm {:.1f} ~ \mathrm{{km}} / \mathrm{{s}}$".format(sigma_v, e_sigma_v))
axs[0].hexbin(x, y, mincnt=1, bins="log")
axs[0].plot(xrange, median, color="red")
axs[0].fill_between(xrange, lower, upper, color="red", alpha=0.3)
# Satellites
mask = ~is_central & (mass > 1e12)
x, y = np.log10(mass[mask]), residual_vel_mag[mask]
xrange, median, lower, upper, std = get_binned_trend(x, y, nbins=nbins)
sigma_v, e_sigma_v = np.mean(std), np.std(std)
axs[1].set_title(r"Satellites, $\sigma_v = {:.1f} \pm {:.1f} ~ \mathrm{{km}} / \mathrm{{s}}$".format(sigma_v, e_sigma_v))
axs[1].hexbin(x, y, mincnt=1, bins="log")
axs[1].plot(xrange, median, color="red")
axs[1].fill_between(xrange, lower, upper, color="red", alpha=0.3)
for i in range(2):
axs[i].set_xlim(np.log10(1e12))
axs[i].set_ylim(0)
axs[i].set_xlabel(r"$\log M_{\rm tot} ~ [M_\odot / h]$")
axs[i].set_ylabel(r"$\Delta V_{\rm pec} ~ [\mathrm{km} / \mathrm{s}]$")
fig.tight_layout()
fig.savefig("../plots/residual_velocity_to_mass_subhaloes.png", dpi=300, bbox_inches="tight")
fig.show()
In [34]:
nbins = 15
fig, axs = plt.subplots(1, 1)
axs = [axs]
fig.suptitle("Residual velocity not accounted for by the SPH field as a function of parent mass")
# Satellites
mask = ~is_central & (parent_mass > 1e12)
x, y = np.log10(parent_mass[mask]), residual_vel_mag[mask]
xrange, median, lower, upper, std = get_binned_trend(x, y, nbins=nbins)
sigma_v, e_sigma_v = np.mean(std), np.std(std)
axs[0].set_title(r"Satellites, $\sigma_v = {:.1f} \pm {:.1f} ~ \mathrm{{km}} / \mathrm{{s}}$".format(sigma_v, e_sigma_v))
axs[0].hexbin(x, y, mincnt=1, bins="log")
axs[0].plot(xrange, median, color="red")
axs[0].fill_between(xrange, lower, upper, color="red", alpha=0.3)
axs[0].set_xlim(np.log10(1e12))
axs[0].set_ylim(0)
axs[0].set_xlabel(r"$\log M_{\rm parent} ~ [M_\odot / h]$")
axs[0].set_ylabel(r"$\Delta V_{\rm pec} ~ [\mathrm{km} / \mathrm{s}]$")
fig.tight_layout()
fig.savefig("../plots/residual_velocity_to_mass_subhaloes_parent.png", dpi=300, bbox_inches="tight")
fig.show()
In [3]:
kind = "main"
nsnap = 99
nsim = 17417
In [4]:
# field_reader = csiborgtools.read.CSiBORG2Field(nsim, kind)
catalogue = csiborgtools.read.CSiBORG2SUBFINDCatalogue(nsim, nsnap, kind)
boxsize = csiborgtools.simname2boxsize("csiborg2_main")
mass = catalogue["totmass"]
# pos = catalogue["cartesian_pos"] / boxsize
# subfind_vel = catalogue["cartesian_vel"]
is_central = catalogue["Central"]
parent_mass = catalogue["ParentMass"]
In [9]:
plt.figure()
# plt.scatter(mass[is_central], parent_mass[is_central], s=0.5)
plt.scatter(mass[~is_central], parent_mass[~ is_central], s=0.5)
plt.xscale("log")
plt.yscale("log")
plt.xlabel("Subhalo mass")
plt.ylabel("Parent mass")
plt.show()
In [ ]: