def plot_one_mg(run_number,alpha):
(x_madgraph,y_madgraph)=library.MadGraph(run_number)
a=library.create_pspline(x_madgraph,y_madgraph,alpha)
(x_madgraph,y_madgraph,yd3_madgraph,madgraph_pspline)=a
pltb=library.makePrettyPlots(x_madgraph, y_madgraph, yd3_madgraph,
title="MadGraph run"+str(run_number)+", alpha:"+str(alpha)
+", chi:"+str(library.chisquare(y_madgraph,yd3_madgraph)),
ymax = 2e5)
return pltb
def alpha_spectrum(start,stop,list_of_alpha):
number_of_events=library.number_of_files_in_folder()
print("number of runs:", number_of_events)
alpha=0.5
factor=2
operator=''
for iteration in range(start,stop+1):
alpha=0.1
factor=2
list_of_alpha.append(find_alpha(library.MadGraph(iteration),
alpha,factor,operator))
return list_of_alpha
def plot_all_mg(number_of_events,alpha):
number_of_events=library.number_of_files_in_folder()
for iteration in range(1,number_of_events+1):
(x_madgraph,y_madgraph)=library.MadGraph(iteration)
a=library.create_pspline(x_madgraph,y_madgraph,alpha)
(x_madgraph,y_madgraph,yd3_madgraph,madgraph_pspline)=a
pltb=library.makePrettyPlots(x_madgraph, y_madgraph, yd3_madgraph,
title="MadGraph run"+str(iteration)
+", alpha:"+str(alpha)+", chi:"
+str(library.chisquare(y_madgraph,yd3_madgraph)),
ymax = 2e5)
pltb.show()
def average_alpha():
number_of_events=library.number_of_files_in_folder()
#number_of_events=15
print("number of runs:", number_of_events)
list_of_chi=[]
#alpha=500.625
alpha=1#1.078125#20:0.875
mean=0
factor=1
operator=''
while True:
list_of_chi=[]
for iteration in range(1,number_of_events+1):
(x_madgraph,y_madgraph)=library.MadGraph(iteration)
a=library.create_pspline(x_madgraph,y_madgraph,alpha)
(x_madgraph,y_madgraph,yd3_madgraph,madgraph_pspline)=a
list_of_chi.append(library.chisquare(y_madgraph,yd3_madgraph))
mean=sum(list_of_chi)/number_of_events
print('Average Chi: ',mean)
if mean<0.999:
if operator=="SUBTRACTING":
factor=factor/2
operator="ADDING"
alpha +=0.5*factor
elif mean>1.001:
if operator=="ADDING":
factor=factor/2
operator="SUBTRACTING"
alpha =alpha-0.5*factor
else:
print('-----------------------------------------------------------')
print("Best alpha is:",alpha,"\nIt gives a average chi of: ",mean)
print('-----------------------------------------------------------')
break
print("Current alpha: ", alpha)
atlas_x,atlas_y=library.atlas()
(x,y,yd3,atlas_pspline)=library.create_pspline(atlas_x,atlas_y,alpha=alpha)
chi_atlas=library.chisquare(y,yd3)
print("chi atlas: ",chi_atlas)
print('-----------------------------------------------------------')
#plta=library.makePrettyPlots(x, y, yd3, title="ATLAS, alpha:"+str(alpha)
# +", chi:"+str(chi_atlas), ymax = 2e5)
return alpha,list_of_chi
def test():
alpha = 0.8187500000000001
atlas_x, atlas_y = library.atlas()
(x, y, yd3, atlas_pspline) = library.create_pspline(atlas_x,
atlas_y,
alpha=alpha)
chi_atlas = library.chisquare(y, yd3)
print("chi atlas: ", chi_atlas)
print('-----------------------------------------------------------')
plta = library.makePrettyPlots(x,
y,
yd3,
title="ATLAS data fitted with " +
r"$\alpha=$" + str(round(alpha, 2)) + "\n" +
r'$\chi^2=$' + str(round(chi_atlas, 2)))
list_of_chi_final = []
iteration = 18
(x_madgraph, y_madgraph) = library.MadGraph(iteration)
a = library.create_pspline(x_madgraph, y_madgraph, alpha)
(x_madgraph, y_madgraph, yd3_madgraph, madgraph_pspline) = a
chi_madgraph = library.chisquare(y_madgraph, yd3_madgraph)
plta.show()