import numpy as np from numpy import nan, inf add_legend_handle = [ 'Data', 'Analysis_CSS_FragNone_UENone.yoda.gz', 'Analysis_Alaric_FragNone_UENone.yoda.gz' ] xpoints = { 'Data' : [2.500000e-02, 7.500000e-02, 1.250000e-01, 1.750000e-01, 2.250000e-01, 2.750000e-01, 3.250000e-01, 3.750000e-01, 4.250000e-01, 4.750000e-01], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [2.500000e-02, 7.500000e-02, 1.250000e-01, 1.750000e-01, 2.250000e-01, 2.750000e-01, 3.250000e-01, 3.750000e-01, 4.250000e-01, 4.750000e-01], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [2.500000e-02, 7.500000e-02, 1.250000e-01, 1.750000e-01, 2.250000e-01, 2.750000e-01, 3.250000e-01, 3.750000e-01, 4.250000e-01, 4.750000e-01], } xedges = { 'Data' : [0.000000e+00, 5.000000e-02, 1.000000e-01, 1.500000e-01, 2.000000e-01, 2.500000e-01, 3.000000e-01, 3.500000e-01, 4.000000e-01, 4.500000e-01, 5.000000e-01], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [0.000000e+00, 5.000000e-02, 1.000000e-01, 1.500000e-01, 2.000000e-01, 2.500000e-01, 3.000000e-01, 3.500000e-01, 4.000000e-01, 4.500000e-01, 5.000000e-01], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [0.000000e+00, 5.000000e-02, 1.000000e-01, 1.500000e-01, 2.000000e-01, 2.500000e-01, 3.000000e-01, 3.500000e-01, 4.000000e-01, 4.500000e-01, 5.000000e-01], } ref_xerrs = [ [abs(xpoints['Data'][i] - xedges['Data'][i]) for i in range(len(xpoints['Data']))], [abs(xedges['Data'][i+1] - xpoints['Data'][i]) for i in range(len(xpoints['Data']))] ] yvals = { 'Data' : [7.296390e+00, 3.831020e+00, 2.174030e+00, 1.541410e+00, 1.195240e+00, 9.878700e-01, 8.345860e-01, 7.646040e-01, 7.096070e-01, 6.652380e-01], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [3.322237e+00, 4.620590e+00, 2.838796e+00, 2.037974e+00, 1.469036e+00, 1.212247e+00, 1.007203e+00, 9.626283e-01, 8.870759e-01, 7.956338e-01], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [3.212611e+00, 4.522054e+00, 2.758355e+00, 1.871534e+00, 1.374977e+00, 1.107796e+00, 1.116891e+00, 7.944469e-01, 8.546521e-01, 8.856463e-01], } xerrs = { 'Data' : [ [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], ], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [ [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], ], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [ [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], ], } yerrs = { 'Data' : [ [1.492145e-01, 3.486665e-01, 9.359646e-02, 6.818455e-02, 8.783076e-02, 7.401189e-02, 6.432360e-02, 6.309503e-02, 6.613021e-02, 7.267552e-02], [1.492145e-01, 3.486665e-01, 9.359646e-02, 6.818455e-02, 8.783076e-02, 7.401189e-02, 6.432360e-02, 6.309503e-02, 6.613021e-02, 7.267552e-02], ], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [ [1.092604e-01, 1.211589e-01, 1.064910e-01, 8.443661e-02, 1.233385e-01, 7.204500e-02, 6.930041e-02, 5.876420e-02, 5.449175e-02, 5.028272e-02], [1.092604e-01, 1.211589e-01, 1.064910e-01, 8.443661e-02, 1.233385e-01, 7.204500e-02, 6.930041e-02, 5.876420e-02, 5.449175e-02, 5.028272e-02], ], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [ [1.201643e-01, 1.417507e-01, 1.140581e-01, 8.190033e-02, 7.192648e-02, 7.848614e-02, 7.368061e-02, 5.413503e-02, 6.001427e-02, 7.423410e-02], [1.201643e-01, 1.417507e-01, 1.140581e-01, 8.190033e-02, 7.192648e-02, 7.848614e-02, 7.368061e-02, 5.413503e-02, 6.001427e-02, 7.423410e-02], ], } variation_yvals = { } # lists for ratio plot ratio0_yvals = { 'Data' : [1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [4.553261e-01, 1.206099e+00, 1.305776e+00, 1.322149e+00, 1.229072e+00, 1.227132e+00, 1.206829e+00, 1.258989e+00, 1.250095e+00, 1.196014e+00], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [4.403014e-01, 1.180379e+00, 1.268775e+00, 1.214170e+00, 1.150377e+00, 1.121399e+00, 1.338258e+00, 1.039031e+00, 1.204402e+00, 1.331322e+00], } ratio0_yerrs = { 'Data' : [ [2.045046e-02, 9.101140e-02, 4.305206e-02, 4.423518e-02, 7.348379e-02, 7.492068e-02, 7.707246e-02, 8.251988e-02, 9.319272e-02, 1.092474e-01], [2.045046e-02, 9.101140e-02, 4.305206e-02, 4.423518e-02, 7.348379e-02, 7.492068e-02, 7.707246e-02, 8.251988e-02, 9.319272e-02, 1.092474e-01], ], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [ [1.497458e-02, 3.162576e-02, 4.898322e-02, 5.477881e-02, 1.031914e-01, 7.292964e-02, 8.303567e-02, 7.685573e-02, 7.679145e-02, 7.558606e-02], [1.497458e-02, 3.162576e-02, 4.898322e-02, 5.477881e-02, 1.031914e-01, 7.292964e-02, 8.303567e-02, 7.685573e-02, 7.679145e-02, 7.558606e-02], ], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [ [1.646901e-02, 3.700077e-02, 5.246390e-02, 5.313338e-02, 6.017744e-02, 7.944987e-02, 8.828402e-02, 7.080140e-02, 8.457395e-02, 1.115903e-01], [1.646901e-02, 3.700077e-02, 5.246390e-02, 5.313338e-02, 6.017744e-02, 7.944987e-02, 8.828402e-02, 7.080140e-02, 8.457395e-02, 1.115903e-01], ], } ratio0_variation_vals = { } ratio_band_edges = { }