71 lines
1.3 KiB
Python
71 lines
1.3 KiB
Python
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# ARES/HADES/BORG Package -- ./libLSS/tests/plot_grav.py
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# Copyright (C) 2014-2020 Guilhem Lavaux <guilhem.lavaux@iap.fr>
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# Copyright (C) 2009-2020 Jens Jasche <jens.jasche@fysik.su.se>
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#
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# Additional contributions from:
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# Guilhem Lavaux <guilhem.lavaux@iap.fr> (2023)
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#
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#+
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import h5py as h5
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import numpy as np
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as plt
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H100=100.e3
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h=0.68
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L=100.
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N=128
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G=6.67e-11
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omega_m=0.30
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Mpc_in_m=3.08567758e22
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udistance=1.*Mpc_in_m
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dmean = 1.0/(float(N)**3)
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with h5.File("gravity.h5") as f:
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g = f['gravity'][...]
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p = f['position'][...]
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pot = f['potential'][...]
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ud = f['unit_density'][0]
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up = f['unit_potential'][0]
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ud *= Mpc_in_m**3
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g = g[:(g.shape[0]/2),:]
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p = p[:(p.shape[0]/2),:]
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pot = pot[:(pot.shape[0]/2)]
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ref = np.array([L/2,0,L/2])
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plt.clf()
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#plt.plot(-g[:,0])
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plt.plot(p[:,1],-g[:,1])
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yy = p[:,1]
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aa = 6.67e-11 * ud * (L/N)**3 * yy/yy**3
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plt.plot(yy, aa)
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plt.gca().set_yscale('log')
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plt.gca().set_xscale('log')
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#plt.plot(g[:,2])
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plt.gcf().savefig("grav.png")
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xx=np.arange(N/2)*L/N
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mass = 3*(H100*h/Mpc_in_m)**2/(8*np.pi*G) * omega_m * (Mpc_in_m)**3
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real_pot = 6.67e-11 * mass / (udistance*xx)
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plt.clf()
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plt.plot(xx,pot*up)
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plt.plot(xx,real_pot)
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plt.gca().set_yscale('log')
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plt.gca().set_xscale('log')
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plt.gcf().savefig("pot.png")
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