86 lines
1.9 KiB
Python
86 lines
1.9 KiB
Python
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#+
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# ARES/HADES/BORG Package -- ./scripts/misc/plot_void.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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from pylab import *
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from read_all_h5 import explore_chain
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def box2sphere(x,y,z):
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#calculate radii
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r=np.sqrt(x**2+y**2+z**2)
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print np.shape(r),np.shape(x)
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dec=np.zeros(np.shape(r))
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'''
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foo= np.where(r>0)
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dec[foo]=np.arcsin(z[foo]/r[foo])
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'''
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ra=np.arctan2(y,x)
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print np.shape(r),np.shape(ra)
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return ra,dec,r
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chain_path="."
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N = 256
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L = 677.7
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Nb = 128
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f = np.sqrt(3)*0.5
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ix = np.arange(N)*L/N - 0.5*L
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ra,dec,r=box2sphere(ix[:,None,None],ix[None,:,None],ix[None,None,:])
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r = np.sqrt(ix[:,None,None]**2 + ix[None,:,None]**2 + ix[None,None,:]**2)
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print np.shape(r)
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H, b = np.histogram(r, range=(0,f*L), bins=Nb)
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Hw_mean=np.zeros(np.shape(H))
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cnt=0
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mu = np.zeros(np.shape(H))
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var = np.zeros(np.shape(H))
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nn=1
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for i,a in explore_chain(chain_path, 400,4100, 10):
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d = a['BORG_final_density'][:]
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Hw, b = np.histogram(r, weights=d, range=(0,f*L), bins=Nb)
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Hw /= H
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mu = (nn-1.)/float(nn)*mu +1./float(nn)*Hw
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if(nn>1):
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aux = (mu-Hw)**2
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var = (nn-1.)/nn*var+1./(nn-1)*aux
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nn+=1
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plot(b[1:], mu, label='average', color='red')
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fill_between(b[1:], mu, mu+np.sqrt(var), interpolate=True, color='gray', alpha='0.5')
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fill_between(b[1:], mu-np.sqrt(var), mu, interpolate=True, color='gray', alpha='0.5')
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fill_between(b[1:], mu, mu+2*np.sqrt(var), interpolate=True, color='darkgray', alpha='0.5')
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fill_between(b[1:], mu-2*np.sqrt(var), mu, interpolate=True, color='darkgray', alpha='0.5')
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plt.xlabel(r'$r \left[\mathrm{Mpc/h} \right]$')
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plt.ylabel(r'$\langle \delta \rangle$')
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axhline(0.0,lw=1.5, color='black')
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#legend()
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ylim(-1,1)
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gcf().savefig("void.png")
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