def main():
JetPtBins = [5,10,20,30,40,60,80,100,150,500]
jetPt = [(JetPtBins[i],JetPtBins[i+1]) for i in range(8)]
print(jetPt)
#JetPtCenter = [7.5,15,25,35,50,70,90,125,325]
JetPtCenter = [6.5,12.45,23.34,33.83,46.75,67.73,88.01,116.11,194.61]
LeadPtMode = [2.0,3.0,5.6,8.9,9.9,14.8,20.7,26.0,34.6]
LeadPtMean = [2.35,3.72,6.66,9.59,13.58,17.98,23.27,27.55,31.68]
LeadPtError = [0.93,1.69,3.18,4.43,6.74,8.34,9.68,10.27,10.55]
JetPtError = [2.5,5,5,5,10,10,10,25,175]
JetPtLeadPtG = Graph(len(JetPtCenter)) #Gives jet pT as a function of leading pT
JetPtLeadPtGerr = Graph(len(JetPtCenter))
LeadPtJetPtG = Graph(len(JetPtCenter))
LeadPtJetPtGerr = Graph(len(JetPtCenter))
for i,(x,y,e) in enumerate(zip(LeadPtMean,JetPtCenter,JetPtError)):
JetPtLeadPtG.SetPoint(i,x,y)
JetPtLeadPtGerr.SetPoint(i,x,e)
for i,(x,y,e) in enumerate(zip(JetPtCenter,LeadPtMean,LeadPtError)):
LeadPtJetPtG.SetPoint(i,x,y)
LeadPtJetPtGerr.SetPoint(i,x,e)
Njets = 8
topcomment = "_systematics_Triggered"
finderName = ["Full jets, Anti-k_\mathrm{T} R = 0.4","Charged Jets, Anti-k_\mathrm{T} R = 0.4"]
finderType = ["Full","Charged"]
setTitle = ["0","1","2","3","4","5"]
finderR = {4,4}
iC = 0
logx = 1
doWeight = 1
iS = 0
f = root_open("errors_test.root", 'read')
gGausRMS = f.Get("gGausRMS{:02d}".format(iS))
gGausRMSerr = f.Get("gGausRMS{:02d}_Systematics".format(iS))
gGausYield = f.Get("gGausYield{:02d}".format(iS))
gGausYielderr = f.Get("gGausYield{:02d}_Systematics".format(iS))
gGammaRMS = f.Get("gGammaRMS{:02d}".format(iS))
gGammaRMSerr = f.Get("gGammaRMS{:02d}_Systematics".format(iS))
gGammaYield = f.Get("gGammaYield{:02d}".format(iS))
gGammaYielderr = f.Get("gGammaYield{:02d}_Systematics".format(iS))
start = 4
iS = 0
stats = [None if ij < start else f.Get("JetConeJtWeightBinNFin{:02d}JetPt{:02d}_Statistics".format(iS,ij)) for ij in range(8)]
fits = [None if ij < start else f.Get("JetConeJtWeightBinNFin{:02d}JetPt{:02d}_FitFunction".format(iS,ij)) for ij in range(8)]
print(fits)
print(stats)
n_figs = 2
# if(n_figs == 2):
# fig,axs = defs.makeRatio(xlog=True,ylog=True,d=d,shareY=False,figsize = (5,6),grid=False)
# else:
# fig, axs = defs.makegrid(n_figs/2,2,xlog=True,ylog=True,d=d,shareY=False,figsize= (10,7.5) if n_figs == 4 else (n_figs*15/8,7.5) )
# axs = axs.reshape(n_figs)
# if(n_figs == 2):
# pT = jetPt[start]
# print(pT)
# axs[0].text(0.8,7,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n' + d['cut'] + '\n' + r'${:02d}\:\mathrm{{GeV}}/c < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}/c$'.format(pT[0],pT[1]),fontsize = 10)
# else:
# axs[1].text(0.12,0.002,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n' + d['cut'],fontsize = 11)
#
ratios = []
xs2 = []
for jT,pT,ij,fit in zip(stats[start:],jetPt[start:],range(start,9),fits[start:]):
color = colors[1]
fig,axs = defs.makeRatio(xlog=True,ylog=True,d=d,shareY=False,figsize = (5,6),grid=False)
axs = axs.reshape(n_figs)
axs[0].text(0.8,7,d['system'] +'\n'+ d['jettype'] +'\n'+ d['jetalg'] + '\n' + d['cut'] + '\n' + r'${:02d}\:\mathrm{{GeV}}/c < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}/c$'.format(pT[0],pT[1]),fontsize = 10)
ax = axs[0]
xs = np.arange(0,xhigh,0.01).tolist()
for ii in range(6):
print(fit.GetParameter(ii))
#B2 is Gauss normalization
#B3 is Gamma normalization
gauss = fit.Clone()
gauss.SetParameter(3,0)
gamma = fit.Clone()
gamma.SetParameter(0,0)
ys = [fit.Eval(x) for x in xs]
ys2 = [gauss.Eval(x) for x in xs]
ys3 = [gamma.Eval(x) for x in xs]
ax.plot(xs,ys2,'b:',label="Narrow")
ax.plot(xs,ys3,'r--',label="Wide")
ax.plot(xs,ys,'k',label="Total")
jT.SetMarkerColor(color)
jT.SetMarkerStyle(24)
jT.SetLineColor(color)
jT.SetMarkerSize(mSize)
plot = rplt.errorbar(jT,xerr=False,emptybins=False,axes=ax,label="ALICE",fmt='o',fillstyle='none') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
if(True):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(color)
# line.set_markerfacecolor('none')
# line.set_markeredgecolor(colors[c])
# line.set_markerfacecolor('none')
# line.set_markeredgecolor('none')
# line.set_drawstyle('default')
# line.set_linestyle('dashed')
# line.set_color(colors[c])
if(n_figs > 2):
ax.text(0.5,1e2,r'${:02d}\:\mathrm{{GeV}} < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}$'.format(pT[0],pT[1]))
ax.set_xlim([xlow,xhigh]) #Set x-axis limits
ax.set_ylim([1e-6,2e3]) #Set y-axis limits
#ax.set_xticklabels(ax.get_xticklabels(),horizontalalignment='left')
x_ = Double()
y1 = Double()
xe = Double()
ye = Double()
NC = jT.GetN()
y2 = []
y2e = []
xs=[]
ex = []
for ii in range(NC):
jT.GetPoint(ii,x_,y1)
xe = jT.GetErrorX(ii)
ye = jT.GetErrorY(ii)
x1 = x_*1.0
xs.append(x1)
ex.append(xe)
if(y1 > 0):
y2.append(y1/fit.Eval(x1))
y2e.append(ye/fit.Eval(x1))
else:
y2.append(0)
y2e.append(0)
#ratio = jT.Clone()
ratio= Graph(NC)
print(xs[::5])
print(y2[::5])
print(ex[::5])
print(y2e[::5])
for x0,y0,x0e,y0e,i in zip(xs,y2,ex,y2e,range(NC)):
ratio.SetPoint(i,x0,y0)
ratio.SetPointError(i,x0e,x0e,y0e,y0e)
ratios.append(ratio)
print(ratio)
ax = axs[1]
#for ratio,pT,ax,color in zip(ratios,jetPt[start:],axs[n_figs/2:n_figs+1],colors[1:]):
print("Debug")
ratio.SetMarkerColor(color)
ratio.SetLineColor(color)
ratio.SetMarkerStyle(24)
ax.plot([0,20],[1,1],'k--')
#ratio.SetMarkerSize(mSize)
plot = rplt.errorbar(ratio,xerr=False,emptybins=False,axes=ax,label=r"Ratio",fmt='o',fillstyle='none') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
if(True):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(color)
#ax.plot(xs2,ratio)
ax.set_yscale('linear')
ax.set_xlim([xlow,xhigh]) #Set x-axis limits
ax.set_ylim([0,2.75]) #Set y-axis limits
ax.set_ylabel('Signal/Fit',fontsize=14) #Add y-axis labels to left- and righmost subfigures
handles, labels = axs[0].get_legend_handles_labels()
handles = [handles[3],handles[2],handles[0],handles[1]]
labels = [labels[3],labels[2],labels[0],labels[1]]
handles = [container.ErrorbarContainer(h,has_xerr=False,has_yerr=True) if isinstance(h, container.ErrorbarContainer) else h for h in handles]
axs[0].legend(handles,labels,loc = 'lower left',numpoints=1)
axs[0].text(0.11,3e2,"ALICE",weight='bold')
fig.align_labels()
print("Save PythonFigures/JtSignalFinalFitJetPt{}.pdf".format(ij))
plt.savefig("PythonFigures/JtSignalFinalFitJetPt{}.pdf".format(ij),format='pdf') #Save figure
plt.show() #Draw figure on screen
g_truth_new.SetPoint(i, x, y / width)
error = h_truth.GetBinError(i + 1)
g_truth_new.SetPointError(i, 0, 0, error, error)
for bin_i in range(len(data)):
h_truth_new.SetBinContent(bin_i + 1, data[bin_i] / bin_widths[bin_i])
h_truth.SetBinContent(bin_i + 1, data[bin_i] / bin_widths[bin_i])
h_truth_finebinned.SetFillStyle(0)
h_truth_finebinned.Smooth(500)
x, y = list(h_truth_finebinned.x()), list(h_truth_finebinned.y())
bin_edges = np.array(list(h_truth_finebinned.xedges()))
bincenters = 0.5 * (bin_edges[1:] + bin_edges[:-1])
g_truth = Graph(h_truth)
# g_truth_new = Graph(len(h_truth), h_truth_new)
g_truth_new.SetLineColor('red')
g_truth_new.SetMarkerColor('red')
h_truth_finebinned.axis().SetRange(0, 1000)
h_truth_finebinned.linecolor = 'orange'
plt.figure(figsize=(16, 10), dpi=100)
axes = plt.axes()
rplt.errorbar(g_truth_new, label=r'corrected', emptybins=False)
rplt.errorbar(g_truth, label=r'bin centre', emptybins=False)
# rplt.hist(h_truth_finebinned, label=r'MC', stacked=False)
plt.plot(bincenters, y, '-')
axes.set_xlim([0, 300])
plt.xlabel('$E_{\mathrm{T}}^{miss}$')
plt.ylabel('Events')
plt.title('Unfolding')
plt.legend()
plt.savefig('plots/Bin_Centers.png')
def main():
JetPtBins = [5, 10, 20, 30, 40, 60, 80, 100, 150, 500]
jetPt = [(JetPtBins[i], JetPtBins[i + 1]) for i in range(8)]
print(jetPt)
#JetPtCenter = [7.5,15,25,35,50,70,90,125,325]
JetPtCenter = [
6.5, 12.45, 23.34, 33.83, 46.75, 67.73, 88.01, 116.11, 194.61
]
LeadPtMode = [2.0, 3.0, 5.6, 8.9, 9.9, 14.8, 20.7, 26.0, 34.6]
LeadPtMean = [2.35, 3.72, 6.66, 9.59, 13.58, 17.98, 23.27, 27.55, 31.68]
LeadPtError = [0.93, 1.69, 3.18, 4.43, 6.74, 8.34, 9.68, 10.27, 10.55]
JetPtError = [2.5, 5, 5, 5, 10, 10, 10, 25, 175]
JetPtLeadPtG = Graph(
len(JetPtCenter)) #Gives jet pT as a function of leading pT
JetPtLeadPtGerr = Graph(len(JetPtCenter))
LeadPtJetPtG = Graph(len(JetPtCenter))
LeadPtJetPtGerr = Graph(len(JetPtCenter))
for i, (x, y, e) in enumerate(zip(LeadPtMean, JetPtCenter, JetPtError)):
JetPtLeadPtG.SetPoint(i, x, y)
JetPtLeadPtGerr.SetPoint(i, x, e)
for i, (x, y, e) in enumerate(zip(JetPtCenter, LeadPtMean, LeadPtError)):
LeadPtJetPtG.SetPoint(i, x, y)
LeadPtJetPtGerr.SetPoint(i, x, e)
Njets = 8
topcomment = "_systematics_Triggered"
finderName = [
"Full jets, Anti-k_\mathrm{T} R = 0.4",
"Charged Jets, Anti-k_\mathrm{T} R = 0.4"
]
finderType = ["Full", "Charged"]
setTitle = ["0", "1", "2", "3", "4", "5"]
finderR = {4, 4}
iC = 0
logx = 1
doWeight = 1
iS = 0
start = 5
iS = 0
if (os.path.exists('RootFiles/Fig2.root')):
inFile = "RootFiles/Fig2.root"
inF = root_open(inFile, 'r')
stats = [
None
if ij < start else inF.Get("jTSignalJetPt_Stat{:02d}".format(ij))
for ij in range(8)
]
fits = [
None
if ij < start else inF.Get("jTSignalJetPt_fit{:02d}".format(ij))
for ij in range(8)
]
errGraph = [
None
if ij < start else inF.Get("jTSignalJetPt_syst{:02d}".format(ij))
for ij in range(8)
]
else:
f = root_open("RootFiles/jtSystematics.root", 'read')
stats = [
None if ij < start else f.Get(
"JetConeJtWeightBinNFin{:02d}JetPt{:02d}_Statistics".format(
iS, ij)) for ij in range(8)
]
fits = [
None if ij < start else f.Get(
"JetConeJtWeightBinNFin{:02d}JetPt{:02d}_FitFunction".format(
iS, ij)) for ij in range(8)
]
errGraph = [
None if ij < start else f.Get(
'JetConeJtWeightBinNFin{:02d}JetPt{:02d}_Systematics'.format(
iS, ij)) for ij in range(8)
] #Get jT histograms from file an array
outFile = "RootFiles/Fig2.root"
outF = root_open(outFile, "w+")
for s, f, e, i in zip(stats, fits, errGraph, range(10)):
if (s):
s.SetName("jTSignalJetPt_Stat{:02d}".format(i))
s.Write()
f.SetName("jTSignalJetPt_fit{:02d}".format(i))
f.Write()
e.SetName("jTSignalJetPt_syst{:02d}".format(i))
e.Write()
outF.Close()
n_figs = 2
ratios = []
xs2 = []
for jT, pT, ij, fit, jT_sys in zip(stats[start:], jetPt[start:],
range(start, 9), fits[start:],
errGraph[start:]):
color = colors[1]
fig, axs = defs.makeRatio(xlog=True,
ylog=True,
d=d,
shareY=False,
figsize=(5, 6),
grid=False)
axs = axs.reshape(n_figs)
axs[0].text(
0.6,
40,
d['system'] + '\n' + d['jettype'] + '\n' + d['jetalg'] + '\n' +
d['cut'] + '\n' +
r'${:02d}\: < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}/c$'.
format(pT[0], pT[1]),
fontsize=10)
ax = axs[0]
xs = np.arange(0, xhigh, 0.01).tolist()
for ii in range(6):
print(fit.GetParameter(ii))
gauss = fit.Clone()
gauss.SetParameter(3, 0)
gamma = fit.Clone()
gamma.SetParameter(0, 0)
ys = [fit.Eval(x) for x in xs]
ys2 = [gauss.Eval(x) for x in xs]
ys3 = [gamma.Eval(x) for x in xs]
ax.plot(xs, ys2, 'b:', label="Narrow")
ax.plot(xs, ys3, 'r--', label="Wide")
ax.plot(xs, ys, 'k', label="Total")
jT.SetMarkerColor(color)
jT.SetMarkerStyle(24)
jT.SetLineColor(color)
jT.SetMarkerSize(mSize)
plot = rplt.errorbar(jT,
xerr=False,
emptybins=False,
axes=ax,
label="ALICE",
fmt='o',
fillstyle='none') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
line.set_markerfacecolor('none')
line.set_color(color)
errorboxes = []
ratioBoxes = []
n = jT_sys.GetN()
xs = jT_sys.GetX()
ys = jT_sys.GetY()
xerrs = jT_sys.GetEX()
yerrs = jT_sys.GetEY()
for x in (xs, ys, xerrs, yerrs):
x.SetSize(n)
for x, y, xe, ye in zip(xs, ys, xerrs, yerrs):
rect = Rectangle((x - xe, (y - ye)), xe * 2, ye * 2)
errorboxes.append(rect)
rect2 = Rectangle((x - xe, (y - ye) / fit.Eval(x)), xe * 2,
ye / fit.Eval(x) * 2)
ratioBoxes.append(rect2)
pc = PatchCollection(errorboxes,
facecolor='r',
alpha=0.5,
edgecolor='None')
ax.add_collection(pc)
if (n_figs > 2):
ax.text(
0.5, 1e2,
r'${:02d}\:\mathrm{{GeV}} < p_{{\mathrm{{T,jet}}}} < {:02d}\:\mathrm{{GeV}}$'
.format(pT[0], pT[1]))
ax.set_xlim([xlow, xhigh]) #Set x-axis limits
ax.set_ylim([1e-3, 5e3]) #Set y-axis limits
x_ = Double()
y1 = Double()
xe = Double()
ye = Double()
NC = jT.GetN()
y2 = []
y2e = []
xs = []
ex = []
for ii in range(NC):
jT.GetPoint(ii, x_, y1)
xe = jT.GetErrorX(ii)
ye = jT.GetErrorY(ii)
x1 = x_ * 1.0
xs.append(x1)
ex.append(xe)
if (y1 > 0):
y2.append(y1 / fit.Eval(x1))
y2e.append(ye / fit.Eval(x1))
else:
y2.append(0)
y2e.append(0)
#ratio = jT.Clone()
ratio = Graph(NC)
"""
ratioBoxes = []
N = div.GetNbinsX()
for box,i in zip(syst,range(1,N)):
y = div.GetBinContent(i)
x1,x2,y1,y2,yc,error,ratio,ratioerror = box
rect = Rectangle((x1,ratio-ratioerror),x2-x1,ratioerror*2)
ratioBoxes.append(rect)
pc = PatchCollection(ratioBoxes, facecolor=colorsBox[j], alpha=0.5,edgecolor=colorsBox[j])
ax.add_collection(pc)
"""
print(xs[::5])
print(y2[::5])
print(ex[::5])
print(y2e[::5])
for x0, y0, x0e, y0e, i in zip(xs, y2, ex, y2e, range(NC)):
ratio.SetPoint(i, x0, y0)
ratio.SetPointError(i, x0e, x0e, y0e, y0e)
ratios.append(ratio)
print(ratio)
ax = axs[1]
pc2 = PatchCollection(ratioBoxes,
facecolor='r',
alpha=0.5,
edgecolor='None')
ax.add_collection(pc2)
#for ratio,pT,ax,color in zip(ratios,jetPt[start:],axs[n_figs/2:n_figs+1],colors[1:]):
ratio.SetMarkerColor(color)
ratio.SetLineColor(color)
ratio.SetMarkerStyle(24)
ax.plot([0, 20], [1, 1], 'k--')
#ratio.SetMarkerSize(mSize)
plot = rplt.errorbar(ratio,
xerr=False,
emptybins=False,
axes=ax,
label=r"Ratio",
fmt='o',
fillstyle='none') #Plot jT histogram,
line = plot.get_children()[0]
line.set_markersize(mSize)
if (True):
line.set_markerfacecolor('none')
#line.set_markeredgecolor(color)
line.set_color(color)
#ax.plot(xs2,ratio)
ax.set_yscale('linear')
ax.set_xlim([xlow, xhigh]) #Set x-axis limits
ax.set_ylim([0, 2.75]) #Set y-axis limits
ax.set_ylabel(
'Signal/Fit',
fontsize=14) #Add y-axis labels to left- and righmost subfigures
handles, labels = axs[0].get_legend_handles_labels()
handles = [handles[3], handles[2], handles[0], handles[1]]
labels = [labels[3], labels[2], labels[0], labels[1]]
handles = [
container.ErrorbarContainer(h, has_xerr=False, has_yerr=True)
if isinstance(h, container.ErrorbarContainer) else h
for h in handles
]
axs[0].legend(handles, labels, loc='lower left', numpoints=1)
#axs[0].text(0.11,1e3,"ALICE",weight='bold')
axs[0].text(0.12, 7e2, "ALICE", fontsize=20)
fig.align_labels()
print("Save PythonFigures/JtSignalFinalFitJetPt{}.pdf".format(ij))
plt.savefig("PythonFigures/JtSignalFinalFitJetPt{}.pdf".format(ij),
format='pdf') #Save figure
plt.show() #Draw figure on screen
