#+ # ARES/HADES/BORG Package -- ./scripts/misc/check_bias.py # Copyright (C) 2014-2020 Guilhem Lavaux # Copyright (C) 2009-2020 Jens Jasche # # Additional contributions from: # Guilhem Lavaux (2023) # #+ import read_all_h5 from pylab import * n=[] b0=[] b1=[] b2=[] b3=[] b4=[] b5=[] b6=[] b7=[] b8=[] b9=[] b10=[] b11=[] b12=[] b13=[] b14=[] b15=[] rho_g0=[] rho_g1=[] rho_g2=[] rho_g3=[] rho_g4=[] rho_g5=[] rho_g6=[] rho_g7=[] rho_g8=[] rho_g9=[] rho_g10=[] rho_g11=[] rho_g12=[] rho_g13=[] rho_g14=[] rho_g15=[] eps_g0=[] eps_g1=[] eps_g2=[] eps_g3=[] eps_g4=[] eps_g5=[] eps_g6=[] eps_g7=[] eps_g8=[] eps_g9=[] eps_g10=[] eps_g11=[] eps_g12=[] eps_g13=[] eps_g14=[] eps_g15=[] n0=[] n1=[] n2=[] n3=[] n4=[] n5=[] n6=[] n7=[] n8=[] n9=[] n10=[] n11=[] n12=[] n13=[] n14=[] n15=[] accept=[] i=0 #while True: for l in range(0,440,1): a = \ read_all_h5.read_all_h5("mcmc_%d.h5" % l) try: n0.append(a.scalars.galaxy_nmean_0) n1.append(a.scalars.galaxy_nmean_1) n2.append(a.scalars.galaxy_nmean_2) n3.append(a.scalars.galaxy_nmean_3) n4.append(a.scalars.galaxy_nmean_4) n5.append(a.scalars.galaxy_nmean_5) n6.append(a.scalars.galaxy_nmean_6) n7.append(a.scalars.galaxy_nmean_7) n8.append(a.scalars.galaxy_nmean_8) n9.append(a.scalars.galaxy_nmean_9) n10.append(a.scalars.galaxy_nmean_10) n11.append(a.scalars.galaxy_nmean_11) n12.append(a.scalars.galaxy_nmean_12) n13.append(a.scalars.galaxy_nmean_13) n14.append(a.scalars.galaxy_nmean_14) n15.append(a.scalars.galaxy_nmean_15) b0.append(a.scalars.galaxy_bias_0) b1.append(a.scalars.galaxy_bias_1) b2.append(a.scalars.galaxy_bias_2) b3.append(a.scalars.galaxy_bias_3) b4.append(a.scalars.galaxy_bias_4) b5.append(a.scalars.galaxy_bias_5) b6.append(a.scalars.galaxy_bias_6) b7.append(a.scalars.galaxy_bias_7) b8.append(a.scalars.galaxy_bias_8) b9.append(a.scalars.galaxy_bias_9) b10.append(a.scalars.galaxy_bias_10) b11.append(a.scalars.galaxy_bias_11) b12.append(a.scalars.galaxy_bias_12) b13.append(a.scalars.galaxy_bias_13) b14.append(a.scalars.galaxy_bias_14) b15.append(a.scalars.galaxy_bias_15) rho_g0.append(a.scalars.galaxy_rho_g_0) rho_g1.append(a.scalars.galaxy_rho_g_1) rho_g2.append(a.scalars.galaxy_rho_g_2) rho_g3.append(a.scalars.galaxy_rho_g_3) rho_g4.append(a.scalars.galaxy_rho_g_4) rho_g5.append(a.scalars.galaxy_rho_g_5) rho_g6.append(a.scalars.galaxy_rho_g_6) rho_g7.append(a.scalars.galaxy_rho_g_7) rho_g8.append(a.scalars.galaxy_rho_g_8) rho_g9.append(a.scalars.galaxy_rho_g_9) rho_g10.append(a.scalars.galaxy_rho_g_10) rho_g11.append(a.scalars.galaxy_rho_g_11) rho_g12.append(a.scalars.galaxy_rho_g_12) rho_g13.append(a.scalars.galaxy_rho_g_13) rho_g14.append(a.scalars.galaxy_rho_g_14) rho_g15.append(a.scalars.galaxy_rho_g_15) eps_g0.append(a.scalars.galaxy_eps_g_0) eps_g1.append(a.scalars.galaxy_eps_g_1) eps_g2.append(a.scalars.galaxy_eps_g_2) eps_g3.append(a.scalars.galaxy_eps_g_3) eps_g4.append(a.scalars.galaxy_eps_g_4) eps_g5.append(a.scalars.galaxy_eps_g_5) eps_g6.append(a.scalars.galaxy_eps_g_6) eps_g7.append(a.scalars.galaxy_eps_g_7) eps_g8.append(a.scalars.galaxy_eps_g_8) eps_g9.append(a.scalars.galaxy_eps_g_9) eps_g10.append(a.scalars.galaxy_eps_g_10) eps_g11.append(a.scalars.galaxy_eps_g_11) eps_g12.append(a.scalars.galaxy_eps_g_12) eps_g13.append(a.scalars.galaxy_eps_g_13) eps_g14.append(a.scalars.galaxy_eps_g_14) eps_g15.append(a.scalars.galaxy_eps_g_14) accept.append(a.scalars.hades_accept_count) print l except AttributeError: break i += 1 rate =np.cumsum(np.array(accept)) norm =np.cumsum(np.ones(len(accept))) plt.plot(rate/norm) plt.show() print plt.plot(b0,label=str(0)) plt.plot(b1,label=str(1)) plt.plot(b2,label=str(2)) plt.plot(b3,label=str(3)) plt.plot(b4,label=str(4)) plt.plot(b5,label=str(5)) plt.plot(b6,label=str(6)) plt.plot(b7,label=str(7)) plt.plot(b8,label=str(0)) plt.plot(b9,label=str(1)) plt.plot(b10,label=str(2)) plt.plot(b11,label=str(3)) plt.plot(b12,label=str(4)) plt.plot(b13,label=str(5)) plt.plot(b14,label=str(6)) plt.plot(b15,label=str(7)) legend() plt.savefig('check_bias.png') plt.show() plt.plot(np.log10(rho_g0),label=str(0)) plt.plot(np.log10(rho_g1),label=str(1)) plt.plot(np.log10(rho_g2),label=str(2)) plt.plot(np.log10(rho_g3),label=str(3)) plt.plot(np.log10(rho_g4),label=str(4)) plt.plot(np.log10(rho_g5),label=str(5)) plt.plot(np.log10(rho_g6),label=str(6)) plt.plot(np.log10(rho_g7),label=str(7)) plt.plot(np.log10(rho_g8),label=str(0)) plt.plot(np.log10(rho_g9),label=str(1)) plt.plot(np.log10(rho_g10),label=str(2)) plt.plot(np.log10(rho_g11),label=str(3)) plt.plot(np.log10(rho_g12),label=str(4)) plt.plot(np.log10(rho_g13),label=str(5)) plt.plot(np.log10(rho_g14),label=str(6)) plt.plot(np.log10(rho_g15),label=str(7)) legend() plt.savefig('check_rho_g.png') plt.show() x=np.arange(600)*0.04+1e-12 y0=n0[-1]*x**b0[-1]*np.exp(-rho_g0[-1]*x**(-eps_g0[-1])) y1=n1[-1]*x**b1[-1]*np.exp(-rho_g1[-1]*x**(-eps_g1[-1])) y2=n2[-1]*x**b2[-1]*np.exp(-rho_g2[-1]*x**(-eps_g2[-1])) y3=n3[-1]*x**b3[-1]*np.exp(-rho_g3[-1]*x**(-eps_g3[-1])) y4=n4[-1]*x**b4[-1]*np.exp(-rho_g4[-1]*x**(-eps_g4[-1])) y5=n5[-1]*x**b5[-1]*np.exp(-rho_g5[-1]*x**(-eps_g5[-1])) y6=n6[-1]*x**b6[-1]*np.exp(-rho_g6[-1]*x**(-eps_g6[-1])) y7=n7[-1]*x**b7[-1]*np.exp(-rho_g7[-1]*x**(-eps_g7[-1])) y8=n8[-1]*x**b8[-1]*np.exp(-rho_g8[-1]*x**(-eps_g8[-1])) y9=n9[-1]*x**b9[-1]*np.exp(-rho_g9[-1]*x**(-eps_g9[-1])) y10=n10[-1]*x**b10[-1]*np.exp(-rho_g10[-1]*x**(-eps_g10[-1])) y11=n11[-1]*x**b11[-1]*np.exp(-rho_g11[-1]*x**(-eps_g11[-1])) y12=n12[-1]*x**b12[-1]*np.exp(-rho_g12[-1]*x**(-eps_g12[-1])) y13=n13[-1]*x**b13[-1]*np.exp(-rho_g13[-1]*x**(-eps_g13[-1])) y14=n14[-1]*x**b14[-1]*np.exp(-rho_g14[-1]*x**(-eps_g14[-1])) y15=n15[-1]*x**b15[-1]*np.exp(-rho_g15[-1]*x**(-eps_g15[-1])) plt.plot(x,np.log(y0),label=str(0),color='red') plt.plot(x,np.log(y1),label=str(1),color='blue') plt.plot(x,np.log(y2),label=str(2),color='green') plt.plot(x,np.log(y3),label=str(3),color='orange') plt.plot(x,np.log(y4),label=str(4),color='yellow') plt.plot(x,np.log(y5),label=str(5),color='black') plt.plot(x,np.log(y6),label=str(6),color='gray') plt.plot(x,np.log(y7),label=str(7),color='magenta') plt.plot(x,np.log(y8),label=str(0),color='red') plt.plot(x,np.log(y9),label=str(1),color='blue') plt.plot(x,np.log(y10),label=str(2),color='green') plt.plot(x,np.log(y11),label=str(3),color='orange') plt.plot(x,np.log(y12),label=str(4),color='yellow') plt.plot(x,np.log(y13),label=str(5),color='black') plt.plot(x,np.log(y14),label=str(6),color='gray') plt.plot(x,np.log(y15),label=str(7),color='magenta') plt.plot(x,np.log(x),label=str(99)) plt.ylim([-8,5]) legend(loc='lower right', shadow=True) #plt.show() gcf().savefig("check_bias.png")