Minimum Q2 values
Compare changes
@@ -35,12 +35,12 @@ x_bins = [4.09385E-05,6.47862E-05,0.000102535,0.000162619,0.000258118,0.00040911
@@ -35,12 +35,12 @@ x_bins = [4.09385E-05,6.47862E-05,0.000102535,0.000162619,0.000258118,0.00040911
Q2values_Y = method_Q2values_dict['{}'.format(method)] #Q2 values of the given method, that are mapped onto the y axis
Q2_List_Y = Q2values_Y['{}'.format(minq2)] #method (E/DA/JB) Q2 values for given minq2, mapped along y axis
@@ -55,7 +55,7 @@ def Q2correlation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be
@@ -55,7 +55,7 @@ def Q2correlation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be
@@ -77,7 +77,7 @@ def Q2correlation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be
@@ -77,7 +77,7 @@ def Q2correlation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be
mplhep.hist2dplot(H=norm_h,norm=mpl.colors.LogNorm(),labels=norm_h_text,xbins=Q2_bins,ybins=Q2_bins,cmax=1,cmin=1e-5)
@@ -86,17 +86,17 @@ def Q2correlation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be
@@ -86,17 +86,17 @@ def Q2correlation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be
plt.title('{} $Q^2$ correlation {}x{} $minQ^2=${}$GeV^2$'.format(method_dict['{}'.format(method)],k,p,minq2))
plt.savefig(os.path.join(args.outdir, '%gon%g/Q2_correlation_%s_%gx%g_minQ2=%g.png' %(k,p,method,k,p,minq2)))
Xvalues_Y = method_Xvalues_dict['{}'.format(method)] #x values of the given method, that are mapped onto the y axis
X_List_Y = Xvalues_Y['{}'.format(minq2)] #method (E/DA/JB) x values for given minq2, mapped along y axis
@@ -134,7 +134,7 @@ def Xcorrelation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be '
@@ -134,7 +134,7 @@ def Xcorrelation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be '
mplhep.hist2dplot(H=norm_h,norm=mpl.colors.LogNorm(),labels=norm_h_text,xbins=x_bins,ybins=x_bins,cmax=1,cmin=1e-5)
@@ -143,27 +143,27 @@ def Xcorrelation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be '
@@ -143,27 +143,27 @@ def Xcorrelation(minq2,method): #minq2 can be 1,10,100, or 1000; method can be '
plt.title('{} $x$ correlation {}x{} $minQ^2=${}$GeV^2$'.format(method_dict['{}'.format(method)],k,p,minq2))
plt.savefig(os.path.join(args.outdir, '%gon%g/x_correlation_%s_%gx%g_minQ2=%g.png' %(k,p,method,k,p,minq2)))