mirror of
https://github.com/Findus23/halo_comparison.git
synced 2024-09-19 16:03:50 +02:00
67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
import numpy as np
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import pandas as pd
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from matplotlib import pyplot as plt
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from matplotlib.axes import Axes
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from matplotlib.figure import Figure
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from cic import cic_from_radius, plot_cic
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from find_center import find_center
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from halo_mass_profile import halo_mass_profile
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from paths import pbh_dir
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from readfiles import read_g4_file, ParticlesMeta
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from utils import figsize_from_page_fraction
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def cic_comparison(pbh_high_coord, ref_high_coord,center):
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rhos = []
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i = 0
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for coord in [ref_high_coord, pbh_high_coord]:
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rho, extent = cic_from_radius(
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coord[::, 0], coord[::, 1], 3000, center[0], center[1], 2, periodic=False
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)
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rhos.append(rho)
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plot_cic(
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rho, extent, title=f"test{i}"
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)
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i += 1
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plot_cic(
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np.absolute(rhos[0] - rhos[1]), extent, title="abs(diff)"
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)
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def main():
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ref_data = read_g4_file(
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pbh_dir / "cdm" / "snapshot_005.hdf5",
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zoom_type="cdm")
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pbh_data = read_g4_file(
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pbh_dir / "10000sigma" / "snapshot_005.hdf5",
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zoom_type="pbh")
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center = [30, 32, 30]
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cic_comparison(ref_data[0], pbh_data[0],center)
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fig1: Figure = plt.figure(figsize=figsize_from_page_fraction())
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ax1: Axes = fig1.gca()
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fig2: Figure = plt.figure(figsize=figsize_from_page_fraction())
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ax2: Axes = fig2.gca()
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centered = False
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for data in [ref_data, pbh_data]:
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highres_coords, lowres_coords, highres_mass, lowres_mass = data
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df = pd.DataFrame(highres_coords, columns=["X", "Y", "Z"])
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particles_meta = ParticlesMeta(particle_mass=highres_mass)
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# center = np.median(highres_coords, axis=0)
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print(center)
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# if not centered:
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# center = find_center(df, center, initial_radius=0.01)
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centered = True
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log_radial_bins, bin_masses, bin_densities, center = halo_mass_profile(
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df, center, particles_meta, plot=False, num_bins=100, vmin=0.002, vmax=5
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)
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ax1.loglog(log_radial_bins[:-1], bin_masses)
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ax2.loglog(log_radial_bins[:-1], bin_densities)
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plt.show()
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cic_comparison(ref_data[0], pbh_data[0],center)
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if __name__ == '__main__':
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main()
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