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65 lines
2 KiB
Python
65 lines
2 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Wed Mar 16 15:12:21 2022
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@author: ben
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"""
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import pandas as pd
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import matplotlib.pyplot as plt
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from pathlib import Path
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basedir = Path("/home/ben/sims/data_swift/monofonic_tests/spectra/")
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#choose waveform and Lbox:
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waveform = "shannon" #DB2, DB4, DB8 or shannon
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Lbox = 100.0 #only option as of now
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Nres1 = 128
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Nres2 = 512
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k0 = 2 * 3.14159265358979323846264338327950 / Lbox
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knyquist1 = Nres1 * k0
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knyquist2 = Nres2 * k0
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a = [0.166666, 0.333333, 0.5, 0.666666, 1.0]
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scale_factor = 4 # give index of a list above
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filename = basedir / f"{waveform}_{Lbox:.0f}/{waveform}_{Lbox:.0f}_a{scale_factor}_{Nres1}_{Nres2}_cross_spectrum"
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# filename = basedir / f"{waveform}_{Lbox:.0f}/{waveform}_{Lbox:.0f}_ics_vsc_cross_spectrum" # for ICs
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# savedir = Path(f"/home/ben/Pictures/swift/monofonic_tests/spectra/power_{waveform}_{Lbox:.0f}_ics_vsc") # for ICs
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# plt.title(f"Power Spectra {waveform} L={Lbox:.0f} a=0.02 vsc") # for ICs
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#find columns in file manually
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#is k really in Mpc? Swift doesn't use /h internally at least.
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columns = ["k [Mpc]", "Pcross", "P1", "err. P1", "P2", "err. P2", "P2-1", "err. P2-1", "modes in bin"]
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df = pd.read_csv(f"{filename}.txt", sep=" ", skipinitialspace=True, header=None, names=columns, skiprows=1)
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#only consider rows above resolution limit
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df = df[df["k [Mpc]"] >= k0]
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k = df["k [Mpc]"]
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p1 = df["P1"]
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p1_error = df["err. P1"]
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p2 = df["P2"]
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p2_error = df["err. P2"]
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pcross = df["Pcross"]
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# Plot the power spectra:
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plt.loglog(k, p1, label="P1")
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plt.loglog(k, p2, label="P2")
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plt.title(f"Power Spectra {waveform} L={Lbox:.0f} a={a[scale_factor]}")
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savedir = Path(f"/home/ben/Pictures/swift/monofonic_tests/spectra/power_{waveform}_{Lbox:.0f}_{Nres1}_{Nres2}_a{scale_factor}")
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plt.xlabel("k [Mpc]")
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plt.ylabel("P")
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plt.vlines(knyquist1, ymin=min(p1), ymax=max(p1), color="black", linestyles="dashed", label=f"{Nres1}")
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plt.vlines(knyquist2, ymin=min(p2), ymax=max(p2), color="black", linestyles="dashed", label=f"{Nres2}")
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plt.legend()
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plt.savefig(f"{savedir}.png")
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