mirror of
https://github.com/Findus23/halo_comparison.git
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83 lines
2.3 KiB
Python
83 lines
2.3 KiB
Python
import sys
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from pathlib import Path
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import matplotlib.pyplot as plt
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import numpy as np
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import pandas as pd
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from matplotlib.axes import Axes
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from matplotlib.figure import Figure
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from find_center import find_center
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from readfiles import ParticlesMeta, read_file, read_halo_file
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def V(r):
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return 4 / 3 * np.pi * r ** 3
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def halo_mass_profile(
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particles: pd.DataFrame,
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center: np.ndarray,
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particles_meta: ParticlesMeta,
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vmin: float,
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vmax: float,
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plot=False,
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num_bins=30,
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):
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center = find_center(particles, center)
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positions = particles[["X", "Y", "Z"]].to_numpy()
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distances = np.linalg.norm(positions - center, axis=1)
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group_radius = distances.max()
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log_radial_bins = np.geomspace(vmin, vmax, num_bins)
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bin_masses = []
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bin_densities = []
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for k in range(num_bins - 1):
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bin_start = log_radial_bins[k]
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bin_end = log_radial_bins[k + 1]
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in_bin = np.where((bin_start < distances) & (distances < bin_end))[0]
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count = in_bin.shape[0]
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mass = count * particles_meta.particle_mass
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volume = V(bin_end) - V(bin_start)
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bin_masses.append(mass)
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density = mass / volume
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bin_densities.append(density)
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bin_masses = np.array(bin_masses)
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bin_densities = np.array(bin_densities)
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bin_masses = np.cumsum(bin_masses)
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if plot:
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fig: Figure = plt.figure()
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ax: Axes = fig.gca()
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ax2 = ax.twinx()
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ax.loglog(log_radial_bins[:-1], bin_masses, label="counts")
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ax2.loglog(log_radial_bins[:-1], bin_densities, label="densities", c="C1")
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# ax.set_xlabel(r'R / R$_\mathrm{group}$')
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ax.set_ylabel(r"M [$10^{10} \mathrm{M}_\odot$]")
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ax2.set_ylabel("density [$\\frac{10^{10} \\mathrm{M}_\\odot}{Mpc^3}$]")
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plt.legend()
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plt.show()
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return log_radial_bins, bin_masses, bin_densities, center
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if __name__ == "__main__":
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input_file = Path(sys.argv[1])
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df, particles_meta = read_file(input_file)
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df_halos = read_halo_file(input_file.with_name("fof_" + input_file.name))
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print(df)
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halo_id = 1
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while True:
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particles_in_halo = df.loc[df["FOFGroupIDs"] == halo_id]
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if len(particles_in_halo) > 1:
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break
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halo_id += 1
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halo = df_halos.loc[halo_id]
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halo_mass_profile(particles_in_halo, halo, particles_meta, plot=True)
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