def ratioplot():
# create required parts
h1 = createH1()
h2 = createH2()
h3 = createRatio(h1, h2)
c, pad1, pad2 = createCanvasPads()
# draw everything
pad1.cd()
h1.Draw()
h2.Draw("same")
# to avoid clipping the bottom zero, redraw a small axis
h1.GetYaxis().SetLabelSize(0.0)
axis = TGaxis(-5, 20, -5, 220, 20, 220, 510, "")
axis.SetLabelFont(43)
axis.SetLabelSize(15)
axis.Draw()
pad2.cd()
h3.Draw("ep")
def PlotOnCanvas(self,pdf_name):
tdrstyle.setTDRStyle()
canvas = TCanvas("c", "c", 600, 600)
pad1 = TPad("pad1", "pad1", 0, 0.0, 1, 1.0)
pad1.SetTopMargin(0.15)
pad1.SetBottomMargin(0.32)
pad1.SetRightMargin(0.05)
pad1.SetLeftMargin(0.15)
if self.title == '':
pad1.SetTopMargin(0.05)
pad1.SetGridx()
pad1.Draw()
pad1.cd()
self.histo1.SetStats(0)
self.histo1.Draw(self.option)
self.histo2.Draw(self.option+" same")
if self.logx:
pad1.SetLogx()
if self.logy:
pad1.SetLogy()
# Redraw axis to avoid clipping 0
self.histo1.GetXaxis().SetLabelSize(0.)
self.histo1.GetXaxis().SetTitle('')
axis = TGaxis(-9,-2.8,-9,2.8,0,10000,50510,"")
axis.SetLabelFont(43)
axis.SetLabelSize(15)
axis.Draw("same")
pad2 = TPad("pad2", "pad2", 0, 0.0, 1, 0.3)
pad2.SetTopMargin(0)
pad2.SetBottomMargin(0.4)
pad2.SetRightMargin(0.05)
pad2.SetLeftMargin(0.15)
pad2.SetGridx()
pad2.Draw()
pad2.cd()
if self.logx:
pad2.SetLogx()
self.ratio.SetLineColor(ROOT.kBlack)
self.ratio.SetMinimum(0.5)
self.ratio.SetMaximum(1.5)
self.ratio.SetStats(0)
self.ratio.SetMarkerStyle(21)
self.ratio.Draw("ep")
self.histo1.SetLineColor(ROOT.kBlue+1)
self.histo1.SetLineWidth(2)
max_y = max(self.histo1.GetMaximum(),self.histo2.GetMaximum())
self.histo1.SetMaximum(max_y*1.1)
self.histo1.GetXaxis().SetTitleOffset(1.5)
self.histo1.GetXaxis().SetLabelSize(0.)
self.histo1.GetXaxis().SetTitleSize(0.)
self.histo1.GetYaxis().SetTitleOffset(1.5)
self.histo1.GetYaxis().SetLabelSize(0.03)
self.histo1.GetYaxis().SetTitleSize(0.05)
self.histo1.GetYaxis().SetNdivisions(505)
self.histo2.SetLineColor(ROOT.kRed)
self.histo2.SetLineWidth(2)
self.ratio.SetTitle("")
self.ratio.GetXaxis().SetNdivisions(510)
self.ratio.GetXaxis().SetTitleOffset(1.1)
self.ratio.GetXaxis().SetLabelSize(0.10)
self.ratio.GetXaxis().SetTitleSize(0.15)
if len(self.xlabel) > 30:
self.ratio.GetXaxis().SetTitleSize(0.13)
if len(self.xlabel) > 60:
self.ratio.GetXaxis().SetTitleSize(0.11)
self.ratio.GetYaxis().SetTitle("Ratio")
self.ratio.GetYaxis().SetNdivisions(505)
self.ratio.GetYaxis().SetTitleOffset(0.5)
self.ratio.GetYaxis().SetLabelSize(0.10)
self.ratio.GetYaxis().SetTitleSize(0.15)
if len(self.ylabel) > 30:
self.ratio.GetYaxis().SetTitleSize(0.13)
if len(self.ylabel) > 60:
self.ratio.GetYaxis().SetTitleSize(0.11)
# Legend #
canvas.cd()
if self.title == '':
self.legend = TLegend(0.60,0.80,0.93,0.93)
else:
self.legend = TLegend(0.60,0.70,0.93,0.83)
self.legend.SetTextSize(0.05)
self.legend.SetBorderSize(0)
self.legend.SetFillColor(0)
self.legend.AddEntry(self.histo1,self.legend1,"l")
self.legend.AddEntry(self.histo2,self.legend2,"l")
self.legend.Draw()
ROOT.SetOwnership(canvas, False)
ROOT.SetOwnership(pad1, False)
ROOT.SetOwnership(pad2, False)
return canvas,self.filename
gAxis.SetBit(TAxis.kRotateTitle)
gAxis.SetBit(TAxis.kCenterTitle)
gAxis.Draw()
else:
mbbHi_meV = SensClass.GetMbb(tHalfMin_y * CLHEP.year, isotope, nmeModel,
ga) / CLHEP.meV
mbbLow_meV = SensClass.GetMbb(tHalfMax_y * CLHEP.year, isotope, nmeModel,
ga) / CLHEP.meV
nLabels = 4
gAxis = TGaxis(expMax_ty * 1.01, tHalfMax_y,
expMax_ty - (expMax_ty - expMin_ty) / 10000., tHalfMin_y,
mbbLow_meV, mbbHi_meV, nLabels, "-G")
gAxis.SetTitle("m_{#beta#beta} sensitivity (90% CL) [meV]")
gAxis.SetTitleOffset(1.2)
gAxis.SetTitleFont(hiBGFunc.GetYaxis().GetTitleFont())
gAxis.SetTitleSize(hiBGFunc.GetYaxis().GetTitleSize())
gAxis.SetLabelFont(hiBGFunc.GetYaxis().GetLabelFont())
gAxis.SetLabelSize(hiBGFunc.GetYaxis().GetLabelSize())
gAxis.SetBit(TAxis.kRotateTitle)
gAxis.SetBit(TAxis.kCenterTitle)
gAxis.Draw()
canvas.Update()
label = "sensVsExp"
if options.use5SigDL: label = "DLVsExp"
if options.xenon136: label += "_Xe"
if options.useShellModel: label += "_SM"
if ga != 1.25: label += "_g"
canvas.Print(label + ".pdf")
canvas.Print(label + ".png")
def make_comparison_plot(outdir, var, groupname1, groupname2, category, weight = "PU_weight*MC_weight*bTagSF_weight*leptonSF_weight*triggerSF_weight*FR_weight", dataset = "ttH"):
var_name = var[0]
n_bins = var[3]
range_low = var[4]
range_high = var[5]
histos = []
plot_name = "p" #segfault when using different names for each
#"%s_%s_%s_%s_%s_vs_%s" % (outdir, var_name, dataset, category, groupname1, groupname2)
name1 = "plot_%s_%s" % (groupname1, plot_name)
plot1 = single_plot("%s/%s" % (groups[groupname1]["inputPath"], groups[groupname1]["inputFiles"][dataset]),
name1,
"%s_%s" % (groups[groupname1]["treePrefix"], category),
var_name,
weight,
n_bins, range_low, range_high)
name2 = "plot_%s_%s" % (groupname2, plot_name)
plot2 = single_plot("%s/%s" % (groups[groupname2]["inputPath"], groups[groupname2]["inputFiles"][dataset]),
name2,
"%s_%s" % (groups[groupname2]["treePrefix"], category),
var_name,
weight,
n_bins, range_low, range_high)
histos.append(plot1)
histos.append(plot2)
leg_entry = []
leg_entry.append("%s:\t N=%d, mean=%.2f, RMS=%.2f" % (groupname1, plot1.GetEntries(), plot1.GetMean(), plot1.GetRMS()))
leg_entry.append("%s:\t N=%d, mean=%.2f, RMS=%.2f" % (groupname2, plot2.GetEntries(), plot2.GetMean(), plot2.GetRMS()))
leg=TLegend(0.45,0.74,0.85,0.89)
leg.SetHeader(get_header(category));
leg.SetBorderSize(0)
leg.SetTextSize(0.04)
leg.SetFillColor(0)
for i in range(len(histos)):
normalize_histogram(histos[i])
leg.AddEntry(histos[i], leg_entry[i])
histos[0].SetLineColor(ROOT.kOrange-2)
histos[0].SetFillColor(ROOT.kOrange-2)
histos[0].SetStats(0)
histos[0].SetTitle("")
histos[1].SetLineColor(1)
histos[1].SetLineWidth(2)
c=TCanvas("c_%s" % plot_name,"c_%s" % plot_name, 800, 600)
pad1 = TPad("pad1", "pad1", 0, 0.3, 1, 1.0)
pad1.SetLeftMargin(0.15)
pad1.SetBottomMargin(0) # Upper and lower plot are joined
pad1.Draw() # Draw the upper pad: pad1
pad1.cd() # pad1 becomes the current pad
max_val = 0.1
min_val = 0
for i in range(len(histos)):
max_val = max(histos[i].GetMaximum(), max_val)
min_val = min(histos[i].GetMinimum(), min_val)
for i in range(len(histos)):
histos[i].SetMaximum(1.4*max_val)
histos[i].SetMinimum(1.4*min_val)
histos[i].GetXaxis().SetTitle(var_name)
histos[i].GetYaxis().SetTitle("a.u.")
histos[i].GetYaxis().SetTitleOffset(1.7)
#histos[i].GetYaxis().SetTickLength(0)
#histos[i].GetYaxis().SetLabelOffset(999)
texl = TLatex(histos[0].GetBinLowEdge(1), 1.01*1.4*max_val, "CMS Preliminary, Simulation ttH #sqrt{s}=13 TeV")
texl.SetTextSize(0.04)
texl.Draw("same")
histos[0].Draw("hist")
histos[1].Draw("same")
leg.Draw("same")
texl.Draw("same")
histos[0].GetYaxis().SetLabelSize(0.)
axis = TGaxis(range_low, min_val, range_low, max_val, min_val, max_val, 510, "")
axis.SetLabelFont(43) #Absolute font size in pixel (precision 3)
axis.SetLabelSize(15)
axis.Draw()
# lower plot will be in pad
c.cd() # Go back to the main canvas before defining pad2
pad2 = TPad("pad2", "pad2", 0, 0.05, 1, 0.3)
pad2.SetLeftMargin(0.15)
pad2.SetTopMargin(0)
pad2.SetBottomMargin(0.35)
pad2.Draw()
pad2.cd()
h_ratio = make_ratio_histogram("h_ratio", histos[1], histos[0])
"""
h_ratio = h[1].Clone("h_ratio")
"""
h_ratio.SetTitle("")
h_ratio.Draw() #Draw the ratio plot
# Y axis histo_emul plot settings
histos[0].GetYaxis().SetTitleSize(20)
histos[0].GetYaxis().SetTitleFont(43)
histos[0].GetYaxis().SetTitleOffset(1.5)
# Ratio plot (h_ratio) settings
#h_ratio.SetTitle("") # Remove the ratio title
h_ratio.GetYaxis().SetLabelSize(0.)
axis2 = TGaxis( range_low, 0.01, range_low, 1.99, 0.01, 1.99, 505,"")
axis2.SetLabelFont(43) # Absolute font size in pixel (precision 3)
axis2.SetLabelSize(15)
axis2.Draw()
# Y axis ratio plot settings
h_ratio.GetYaxis().SetTitle("%s/%s" % (groupname2, groupname1))
h_ratio.GetYaxis().SetNdivisions(505)
h_ratio.GetYaxis().SetTitleSize(20)
h_ratio.GetYaxis().SetTitleFont(43)
h_ratio.GetYaxis().SetTitleOffset(1.5)
#h_ratio.GetYaxis().SetLabelFont(43) # Absolute font size in pixel (precision 3)
#h_ratio.GetYaxis().SetLabelSize(15)
# X axis ratio plot settings
h_ratio.GetXaxis().SetTitleSize(20)
h_ratio.GetXaxis().SetTitleFont(43)
h_ratio.GetXaxis().SetTitleOffset(4.)
h_ratio.GetXaxis().SetLabelFont(43) # Absolute font size in pixel (precision 3)
h_ratio.GetXaxis().SetLabelSize(15)
line = TLine(range_low, 1., range_high,1.)
line.Draw("same")
plot_file_name="%s" % (var_name)
dirname = ("%s_vs_%s/%s/%s" % (groupname1, groupname2, category, outdir)).replace(" ", "_")
for file_format in ["png", "pdf"]:
mkdir_p("plots_test/%s/%s" % (dirname, file_format))
c.SaveAs("plots_test/%s/%s/%s.%s" % (dirname, file_format, plot_file_name, file_format))
lines = []
for iLine, line in enumerate(avgSF):
lines.append(TLine(0, avgSF[iLine], Nslices * sliceWidth, avgSF[iLine]))
lines[iLine].SetLineColor(iLine + 1)
lines[iLine].Draw('same')
# add second axis
canv.SetRightMargin(0.1)
all_graphs[0].GetXaxis().SetRangeUser(0, 68)
all_graphs[0].GetXaxis().SetLabelOffset(0.02)
gPad.RangeAxis(0, gPad.GetUymin(), 68, gPad.GetUxmax())
axis = TGaxis(gPad.GetUxmin(), gPad.GetUymin(), gPad.GetUxmax(),
gPad.GetUymin(),
gPad.GetUxmin() * calo_init.args.X0density,
gPad.GetUxmax() * calo_init.args.X0density, 506, "-")
axis.SetLabelSize(0.05)
axis.SetTitleSize(0.07)
axis.SetTitleOffset(0.9)
axis.SetLabelOffset(0.02)
axis.Draw()
axis.SetLabelFont(42)
unit1 = draw_text(['(cm)'], [0.91, 0.09, 1, 0.14], 1, 0)
unit1.SetTextSize(0.05)
unit1.SetTextFont(42)
unit2 = draw_text(['(X_{0})'], [0.91, 0.16, 1, 0.21], 1, 0)
unit2.SetTextSize(0.05)
unit2.SetTextFont(42)
canv.Update()
# Draw all labels
if calo_init.args.specialLabel:
def __reweightCanvas(self, can, addLabels, addTopXNumbers):
import numpy as np, ROOT
from ROOT import TGaxis, TLatex, kBlack
if can.GetPrimitive('pad_top'):
self.__reweightCanvas(can.GetPrimitive('pad_top'), False,
addTopXNumbers)
if can.GetPrimitive('pad_bot'):
self.__reweightCanvas(can.GetPrimitive('pad_bot'), self.addLabels,
False)
if can.GetPrimitive('pad_bot') or can.GetPrimitive('pad_bot'): return
can.cd()
# First we "remove" previous axis
xaxis = GetXaxis(can)
# Now create new axis
#xaxis.SetName("__xaxis_ignored")
# Now draw new canvas
#xmin, xmax = GetXaxisRanges(can)
#import os
#c = ROOT.TCanvas(self.func.GetName(),self.func.GetName())
#self.func.Draw()
#c.SaveAs( os.path.join( 'e26_RunByRun_noAdjustment', c.GetName() +'.pdf' ) )
#can.cd()
#chopt = "+C" + ("U" if not addLabels else "")
chopt = "+CU"
axis = TGaxis(can.GetUxmin(), can.GetUymin(), can.GetUxmax(),
can.GetUymin(), self.func.GetName(),
10000 * self.N3 + 100 * self.N2 + 1 * self.N1, chopt)
axis.SetNoExponent(False)
#axis.SetExponentOffset()
if xaxis:
axis.ImportAxisAttributes(xaxis)
xaxis.SetTickLength(0)
xaxis.SetLabelOffset(999.)
if self.labelSize: axis.SetLabelSize(self.labelSize)
#1 + 100*N2 + *N3N
axis.Draw()
from .PlotFunctions import tobject_collector
if addTopXNumbers:
_, ymax = GetYaxisRanges(can,
check_all=True,
ignorezeros=True,
ignoreErrors=False)
for xc in self.xcenters:
text = TLatex(self.func.Eval(xc), ymax, str(xc))
text.SetTextFont(43)
text.SetTextSize(2)
text.SetTextAlign(12)
text.SetTextAngle(90)
text.SetTextColor(ROOT.kBlack)
text.Draw()
tobject_collector.append(text)
if addLabels:
binLow, binHigh, nBins = self.__getXEdges(chopt)
#labelPos = map( lambda x: (x,self.func.GetX(x),(self.func.GetX(x)-self.xedges[0])/(self.xedges[-1]-self.xedges[0]))
# , np.linspace(binLow,binHigh, nBins) )
labelPos = map(
lambda x:
(x, self.func.Eval(x), (self.func.Eval(x) - self.xedges[0]) /
(self.xedges[-1] - self.xedges[0])),
np.linspace(binLow, binHigh, nBins))
ypos = can.GetUymin() - 0.04 * (can.GetUymax() - can.GetUymin())
#labels = []
for x, mx, pmx in labelPos:
text = TLatex(mx, ypos, str(x))
text.SetTextFont(43)
#text.SetTextSizePixels(textPerc)
text.SetTextAlign(23)
text.SetTextColor(ROOT.kBlack)
text.SetTextSize(14)
text.Draw()
tobject_collector.append(text)
#labels.append(text)
#gxc = (self.xedges[-1]-self.xedges[0] )/2
#lLabels = len(labels)
#for i, text in enumerate(labels):
# xc = text.GetBBoxCenter()
# if xc < gxc:
# if i+1 < lLabels:
# text2 = labels[i+1]
# while conflict(text.GetBBox(),text2.GetBBox()):
# sizes[i] = possible_sizes[sizes[i]+1]
# text.SetTextSize( getNewSize
##AdjustBinSize (Double_t A1, Double_t A2, Int_t nold, Double_t &BinLow, Double_t &BinHigh, Int_t &nbins, Double_t &BinWidth)
#lLabels = [labels.At(i) for i in range(labels.GetEntries())]
tobject_collector.append(axis)
#can.Modified()
#can.Update()
return axis
leg_2d_exclusion_v1_v2.AddEntry(graph_exclusion_exp_v1, v1_label + " Exp", "L")
leg_2d_exclusion_v1_v2.AddEntry(graph_exclusion_exp_v2, v2_label + " Exp", "L")
if drawObs:
leg_2d_exclusion_v1_v2.AddEntry(graph_exclusion_obs_v1, v1_label + " Obs",
"L")
leg_2d_exclusion_v1_v2.AddEntry(graph_exclusion_obs_v2, v2_label + " Obs",
"L")
leg_2d_exclusion_v1_v2.Draw()
drawCMS2(myC2D, 13, lumi)
f1_lambda = TF1("f1", "(x+6.00)/1.454", 72.902, 416.78)
A1_lambda = TGaxis(100.0, 0.02, 600.0, 0.02, "f1", 1010, "NI")
A1_lambda.SetLabelFont(42)
A1_lambda.SetLabelSize(0.035)
A1_lambda.SetTextFont(42)
A1_lambda.SetTextSize(1.2)
A1_lambda.SetTitle("#Lambda [TeV]")
A1_lambda.SetTitleSize(0.04)
A1_lambda.SetTitleOffset(0.9)
A1_lambda.Draw()
myC2D.SaveAs(outputDir + "/limits" + "/limit_exclusion_region_2D_" +
year_to_plot + "_" + v1_tag + "_vs_" + v2_tag + ".pdf")
myC2D.SaveAs(outputDir + "/limits" + "/limit_exclusion_region_2D_" +
year_to_plot + "_" + v1_tag + "_vs_" + v2_tag + ".png")
myC2D.SaveAs(outputDir + "/limits" + "/limit_exclusion_region_2D_" +
year_to_plot + "_" + v1_tag + "_vs_" + v2_tag + ".C")
def ratio_plot(h1,
h2,
legend,
name='c',
dim=(800, 600),
mode='',
l_range=(0, 0),
l_y_title=''):
if not isinstance(dim, collections.abc.Sequence):
raise TypeError("The variable 'dim' has a wrong type")
elif len(dim) != 2:
raise ValueError("Wrong length given for list 'dim'")
if not isinstance(l_range, collections.abc.Sequence):
raise TypeError("The variable 'l_range' has a wrong type")
elif len(l_range) != 2:
raise ValueError("Wrong length given for list 'l_range'")
if name == 'c':
name = name + '_' + random_string()
c = TCanvas(name, '', dim[0], dim[1])
pad1 = TPad('pad1', 'pad1', 0, 0.3, 1, 1.0)
pad1.SetBottomMargin(0) # Upper and lower plot are joined
pad1.Draw() # Draw the upper pad: pad1
pad1.cd() # pad1 becomes the current pad
h1.SetStats(0)
h1.Draw()
h2opt = h2.GetOption() + 'SAME'
h2.Draw(h2opt)
legend.Draw()
axis = TGaxis(-5, 20, -5, 220, 20, 220, 510, '')
axis.SetLabelFont(43) # Absolute font size in pixel (precision 3)
axis.SetLabelSize(20)
axis.SetTitleFont(43)
axis.SetTitleSize(20)
axis.SetTitleOffset(1.3)
axis.Draw()
c.Update()
# lower plot will be in pad
c.cd() # Go back to the main canvas before defining pad2
pad2 = TPad('pad2', 'pad2', 0, 0.01, 1., 0.30)
pad2.SetTopMargin(0.0)
pad2.SetBottomMargin(0.28)
pad2.SetGridy(1)
pad2.Draw()
pad2.cd() # pad2 becomes the current pad
# Define the ratio plot
h3 = h1.Clone('h3')
h3.SetLineColor(kPurpleC)
h3.SetMarkerColor(kPurpleC)
h3.SetMarkerSize(0.5)
h3.Sumw2()
h3.SetStats(0) # No statistics on lower plot
if (mode == 'ratio'):
h3.Divide(h2)
if (mode == 'diff'):
h3.Add(h2, -1.)
h3.SetMarkerStyle(21)
h3.Draw('ep') # Draw the ratio plot
# Remove the ratio title
h3.SetTitle('')
# Y axis ratio plot settings
l_title = ''
if l_y_title == '':
l_title = mode + ' '
else:
l_title = l_y_title
h3.GetYaxis().SetTitle(l_title)
h3.GetYaxis().SetNdivisions(505)
h3.GetYaxis().SetTitleSize(20)
h3.GetYaxis().SetTitleFont(43)
h3.GetYaxis().SetTitleOffset(1.2)
h3.GetYaxis().SetLabelFont(43)
# Absolute font size in pixel(precision 3)
h3.GetYaxis().SetLabelSize(16)
if l_range != (0, 0):
h3.GetYaxis().SetRangeUser(l_range[0], l_range[1])
# X axis ratio plot settings
h3.GetXaxis().SetTitleSize(20)
h3.GetXaxis().SetTitleFont(43)
h3.GetXaxis().SetTitleOffset(3.5)
h3.GetXaxis().SetLabelFont(43)
# Absolute font size in pixel(precision 3)
h3.GetXaxis().SetLabelSize(18)
c.Write()
c.Close()
texts.append(
TText(
xcenter, level['energy'] + 2 * param['TextFloat'] +
(plot_range['ymax'] - plot_range['ymin']) *
param['TextSize'], str(level['life'])))
texts[-1].SetTextAlign(21)
texts[-1].SetTextColor(texts[-2].GetTextColor())
if 'Axis' in param:
paxis = param['Axis']
axis_margin = 0.015 * (plot_range['ymax'] - plot_range['ymin'])
axis = TGaxis(-param['space'], paxis['range_min'], -param['space'],
paxis['range_max'], paxis['range_min'], paxis['range_max'],
paxis['ticks'], "")
axis.SetTitle(paxis['title'])
axis.SetLabelSize(paxis['label_size'])
axis.SetTitleSize(paxis['title_size'])
axis.SetTitleOffset(paxis['title_offset'])
axis.Draw()
for line in lines:
line.SetLineWidth(param['LineWidth'])
line.Draw()
for text in texts:
text.SetTextSize(param['TextSize'])
text.Draw()
for i, g in enumerate(gamma):
level1 = filter(lambda x: x.GetY1() == g['from'], lines)[0]
level2 = filter(lambda x: x.GetY1() == g['to'], lines)[0]
def plot_ratio(ih_,max_val_,xbins__,comb_ID_):
# // Define two gaussian histograms. Note the X and Y title are defined
# // at booking time using the convention "Hist_title ; X_title ; Y_title"
# TH1F *h1 = new TH1F("h1", "Two gaussian plots and their ratio;x title; h1 and h2 gaussian histograms", 100, -5, 5);
# TH1F *h2 = new TH1F("h2", "h2", 100, -5, 5);
# h1.FillRandom("gaus");
# h2.FillRandom("gaus");
# // Define the Canvas
#TCanvas *c = new TCanvas("c", "canvas", 800, 800);
cc = TCanvas("cc", "canvas", 800, 800)
h1 = ih_[0][0]
h2 = ih_[1][0]
#print 'h1 = ',h1
#print 'h2 = ',h2
#print'h1.GetMaximum() = ' ,h1.GetMaximum()
#// Upper plot will be in pad1
pad1 = TPad("pad1", "pad1", 0, 0.3, 1, 1.0)
pad1.SetBottomMargin(0) # Upper and lower plot are joined
#pad1.SetGridx() #Vertical grid, dashed lines
pad1.Draw() #Draw the upper pad: pad1
pad1.cd() # pad1 becomes the current pad
h1.SetStats(0) # No statistics on upper plot
h1.GetXaxis().SetNdivisions(xbins__)
h1.Draw() # Draw h1
# pad1.Update()
# lline = TLine(pad1.GetUxmin(),20,pad1.GetUxmax(),20)
# #lline.SetNDC(1)
# lline.SetLineStyle(3)
# lline.Draw('same')
h2.Draw("same") # Draw h2 on top of h1
# // Do not draw the Y axis label on the upper plot and redraw a small
# // axis instead, in order to avoid the first label (0) to be clipped.
h1.GetYaxis().SetLabelSize(0.)
#TGaxis *axis = new TGaxis( -5, 20, -5, 220, 20,220,510,"");
#axis = TGaxis( -5, 20, -5, 220, 20,220,510,"") #xmin ymin xmax ymax
axis = TGaxis( 0, 0, 0, max_val_, 0.001,max_val_,510,"")
axis.SetLabelFont(43) #Absolute font size in pixel (precision 3)
axis.SetLabelSize(15)
axis.Draw()
#lower plot will be in pad
cc.cd() # Go back to the main canvas before defining pad2
#TPad *pad2 = new TPad("pad2", "pad2", 0, 0.05, 1, 0.3)
pad2 = TPad("pad2", "pad2", 0, 0.05, 1, 0.3)
pad2.SetTopMargin(0) # can change to separate top and bottom
#pad2.SetBottomMargin(0.2)
#pad2.SetBottomMargin(0)
#pad2.SetGridx() # vertical grid, dashed lines
pad2.Draw()
pad2.cd() # pad2 becomes the current pad
# Define the ratio plot
#TH1F *h3 = (TH1F*)h1.Clone("h3");
h3 = h2.Clone("h3")
h3.SetLineColor(1)
h3.SetMinimum(0.5) # Define Y ..
h3.SetMaximum(1.5) # .. range
h3.Sumw2()
h3.SetStats(0) # No statistics on lower plot
h3.Divide(h1)
h3.SetMarkerStyle(21)
#gPad.Modified()
#gPad.Update()
h3.Draw("ep") # Draw the ratio plot
pad2.Update()
lline = TLine(pad2.GetUxmin(),1,pad2.GetUxmax(),1)
#lline.SetNDC(1)
lline.SetLineStyle(1)
lline.Draw('same')
#// h1 settings
h1.SetLineColor(600+1)
h1.SetLineWidth(2)
#// Y axis h1 plot settings
h1.GetYaxis().SetTitleSize(20)
h1.GetYaxis().SetTitleFont(43)
h1.GetYaxis().SetTitleOffset(1.55)
#print 'xbins__ = ',xbins__
h1.GetXaxis().SetNdivisions(xbins__)
#h1.GetXaxis().SetNdivisions(0)
#// h2 settings
h2.SetLineColor(632)
h2.SetLineWidth(2)
# // Ratio plot (h3) settings
h3.SetTitle("") # Remove the ratio title
#// Y axis ratio plot settings
h3.GetYaxis().SetTitle("Reco/Gen")
h3.GetYaxis().SetNdivisions(505)
h3.GetYaxis().SetTitleSize(20)
h3.GetYaxis().SetTitleFont(43)
h3.GetYaxis().SetTitleOffset(1.55)
h3.GetYaxis().SetLabelFont(43) #Absolute font size in pixel (precision 3)
h3.GetYaxis().SetLabelSize(15)
# // X axis ratio plot settings
#h3.GetXaxis().SetNdivisions(xbins__)
h3.GetXaxis().SetNdivisions(xbins__)
#h3.GetXaxis().SetNdivisions(0)
h3.GetXaxis().SetTitleSize(20)
h3.GetXaxis().SetTitleFont(43)
h3.GetXaxis().SetTitleOffset(4.)
h3.GetXaxis().SetLabelFont(43) # Absolute font size in pixel (precision 3)
h3.GetXaxis().SetLabelSize(15)
pad1.cd()
leg_ = TLegend(0.6, 0.75, 0.89, 0.89)
#for hi_,h_ in enumerate(hists_):
a = ih_[:]
#print'a = ',a
#for i,hist_info_ in enumerate(a):
for hist_info_ in a:
this_h = hist_info_[0]
this_label = hist_info_[1]
leg_.AddEntry(this_h,this_label,'lf') # histo object, ID
#leg.SetTextSize(0.02)
leg_.Draw('same')
#cc.SaveAs(output_Loc + "Gen_Reco_" + comb_ID_ + ".png")
cc.SaveAs(output_Loc + "Gen_Reco_" + comb_ID_ + ".pdf")
cc.SaveAs(output_Loc + "Gen_Reco_" + comb_ID_ + ".png")
return 0
mg.GetYaxis().SetMoreLogLabels()
mg.GetYaxis().SetTitleOffset(1.9)
legend.SetBorderSize(0)
legend.SetTextSize(0.03)
legend.Draw("same")
c.SetGrid()
gStyle.SetGridStyle(2)
gStyle.SetGridColor(ROOT.kGray)
latex = Text(gPad, 0.88,0.65, "#scale[1.2]{#bf{CMS}} #font[50]{Preliminary}", align = 33)
latex = Text(gPad, 0.88,0.60,"Run2 Data (13 TeV)", align = 33,size = 0.03)
if args.glob: latex = Text(gPad, 0.88,0.55,"Z#rightarrow ee events, EB", align = 33,size = 0.03)
if args.loc: latex = Text(gPad, 0.88,0.55,"Same cluster, EB", align = 33,size = 0.03)
latex = Text(gPad, 0.88,0.48,"#sigma = #frac{N}{A_{eff}} #font[62]{#oplus} #sqrt{2}C", align = 33,size = 0.04)
top_axis = TGaxis(xmin ,mg.GetHistogram().GetMaximum(),xmax,mg.GetHistogram().GetMaximum(),ADC2GEV_B*xmin,ADC2GEV_B*xmax,510,"G-");
top_axis.SetTitle("E [GeV]")
top_axis.SetTitleSize(0.035)
top_axis.SetLabelSize(0.035)
top_axis.SetTitleFont(42)
top_axis.SetLabelFont(42)
top_axis.Draw()
Frame(gPad)
c.Update()
c.Modified()
input()
c.SaveAs("plots/"+args.tag+"/allYears/sigma_"+name+".png")
c.SaveAs("plots/"+args.tag+"/allYears/sigma_"+name+".pdf")
graph_exclusion_cms_8TeV_1g.SetLineColorAlpha(kAzure + 10, 0.65)
######CMS 8TeV, two photons
mass_cms_8TeV_2g = np.array([198., 227., 256., 256., 227., 198.])
ctau_cms_8TeV_2g = 0.01 * np.array([0.4, 2, 9, 9, 25., 50.])
graph_exclusion_cms_8TeV_2g = TGraph(6, mass_cms_8TeV_2g, ctau_cms_8TeV_2g)
graph_exclusion_cms_8TeV_2g.SetFillColorAlpha(kGray, 0.6)
graph_exclusion_cms_8TeV_2g.SetLineColorAlpha(kGray, 0.6)
####legend
#Lambda axis
f1_lambda = TF1("f1", "(x+6.00)/1.454", 72.902, 416.78)
A1_lambda = TGaxis(100.0, 0.0125, 600.0, 0.0125, "f1", 1010, "NI")
A1_lambda.SetLabelFont(42)
A1_lambda.SetLabelSize(0.035)
A1_lambda.SetTextFont(42)
A1_lambda.SetTextSize(1.3)
A1_lambda.SetTitle("#Lambda (TeV)")
A1_lambda.SetTitleSize(0.04)
A1_lambda.SetTitleOffset(0.9)
### only
graph_exclusion_exp_ = TGraph(
len(lambda_point_boundary_exp_),
np.array(1.454 * lambda_point_boundary_exp_ - 6.0),
0.01 * np.array(ctau_points))
graph_exclusion_exp_p1sig_ = TGraph(
len(lambda_point_boundary_exp_p1sig_),
np.array(1.454 * lambda_point_boundary_exp_p1sig_ - 6.0),
0.01 * np.array(ctau_points))
hRawYieldDistr[-1].GetMean()) / hRawYieldDistr[-1].GetMean() * 100
syst = TMath.Sqrt(rms**2 + shift**2)
hRMS.SetBinContent(iPt, rms)
hMeanShift.SetBinContent(iPt, shift)
hSyst.SetBinContent(iPt, syst)
cRMS = TCanvas('cRMS', '', 800, 800)
cRMS.DrawFrame(hRMS.GetBinLowEdge(1), 0.1, ptMax, 20.,
';#it{p}_{T} (GeV/#it{c});RMS (%)')
hRMS.DrawCopy('same')
axisSoverB = TGaxis(gPad.GetUxmax(), gPad.GetUymin(), gPad.GetUxmax(),
gPad.GetUymax(), 0.01, 20., 510, "+LG")
axisSoverB.SetLineColor(kRed + 1)
axisSoverB.SetLabelColor(kRed + 1)
axisSoverB.SetLabelFont(42)
axisSoverB.SetLabelSize(0.045)
axisSoverB.SetTitle('S/B (3#sigma)')
axisSoverB.SetTitleOffset(1.2)
axisSoverB.SetLabelOffset(0.012)
axisSoverB.SetTitleColor(kRed + 1)
axisSoverB.SetTitleFont(42)
axisSoverB.SetTitleSize(0.05)
axisSoverB.SetMaxDigits(3)
axisSoverB.Draw()
hSoverB.DrawCopy('same')
cRMS.Update()
cSyst = TCanvas('cSyst', '', 800, 800)
cSyst.DrawFrame(hSyst.GetBinLowEdge(1), 0.1, ptMax, 20.,
';#it{p}_{T} (GeV/#it{c}); Syst (%)')
SetObjectStyle(hRMS, color=kRed + 1, fillstyle=0, linewidth=3)
def PlotOnCanvas(self, pdf_name):
#gROOT.SetBatch(False)
tdrstyle.setTDRStyle()
canvas = TCanvas("c1", "c1", 600, 600)
pad1 = TPad("pad1", "pad1", 0, 0.0, 1, 1.0)
pad1.SetBottomMargin(0.32)
pad1.SetGridx()
pad1.Draw()
pad1.cd()
self.histo1.SetStats(0)
self.histo1.Draw(self.option)
self.histo2.Draw(self.option + " same")
if self.logx:
pad1.SetLogx()
if self.logy:
pad1.SetLogy()
legend = TLegend(0.65, 0.7, 0.85, 0.83)
legend.SetHeader("Legend", "C")
legend.AddEntry(self.histo1, self.legend1, "l")
legend.AddEntry(self.histo2, self.legend2, "l")
legend.Draw()
# Redraw axis to avoid clipping 0
self.histo1.GetXaxis().SetLabelSize(0.)
self.histo1.GetXaxis().SetTitle('')
axis = TGaxis(-9, -2.8, -9, 2.8, 0, 10000, 50510, "")
axis.SetLabelFont(43)
axis.SetLabelSize(15)
axis.Draw("same")
pad2 = TPad("pad2", "pad2", 0, 0.0, 1, 0.3)
pad2.SetTopMargin(0)
pad2.SetBottomMargin(0.4)
pad2.SetGridx()
pad2.Draw()
pad2.cd()
if self.logx:
pad2.SetLogx()
self.ratio.SetLineColor(ROOT.kBlack)
self.ratio.SetMinimum(0.5)
self.ratio.SetMaximum(1.5)
self.ratio.SetStats(0)
self.ratio.SetMarkerStyle(21)
self.ratio.Draw("ep")
self.histo1.SetLineColor(ROOT.kBlue + 1)
self.histo1.SetLineWidth(2)
max_y = max(self.histo1.GetMaximum(), self.histo2.GetMaximum())
self.histo1.SetMaximum(max_y * 1.1)
self.histo1.GetYaxis().SetNdivisions(505)
self.histo1.GetYaxis().SetTitleSize(20)
self.histo1.GetYaxis().SetTitleFont(43)
self.histo1.GetYaxis().SetTitleOffset(1.8)
self.histo2.SetLineColor(ROOT.kRed)
self.histo2.SetLineWidth(2)
self.ratio.SetTitle("")
self.ratio.GetYaxis().SetTitle("Ratio")
self.ratio.GetYaxis().SetNdivisions(505)
self.ratio.GetYaxis().SetTitleSize(20)
self.ratio.GetYaxis().SetTitleFont(43)
self.ratio.GetYaxis().SetTitleOffset(1.8)
self.ratio.GetYaxis().SetLabelFont(43)
self.ratio.GetYaxis().SetLabelSize(15)
self.ratio.GetXaxis().SetNdivisions(510)
self.ratio.GetXaxis().SetTitleSize(20)
self.ratio.GetXaxis().SetTitleFont(43)
self.ratio.GetXaxis().SetTitleOffset(4.)
self.ratio.GetXaxis().SetLabelFont(43)
self.ratio.GetXaxis().SetLabelSize(15)
ROOT.SetOwnership(canvas, False)
ROOT.SetOwnership(pad1, False)
ROOT.SetOwnership(pad2, False)
canvas.Print(pdf_name, 'Title:' + self.title)
canvas.Close()
class Differential1D:
""" Base class for displaying 1D differential plots.
Produces a plot comparing the baseline geometry (base) to the geometry specified by
the geom arguement. The quantity plotted is given by the "stat" option, and is
limited to the different statistics created by the StarBASE application. At present,
these include:
stat="radlen" :: plots number of radiation lengths of material encountered
... need to add more stats
The plot will show a solid histogram for the baseline geometry, with the comparison
geometry shown with red hashes. The fractional difference (baseline-comp)/baseline
is shown at the bottom in blue, scaled according to the alternate axis at the right.
base: selects the baseline geometry. [Mandatory]
geom: selects the comparison geometry. [Mandatory]
volume: selects the volume to be compared. [Mandatory]
geomvolume: selects the volume in the comparison geometry. [Default: same]
stat: selects the statistic to compare. [Default: radlen]
xmin, xmax: x-axis range. [Optional]
ymin, ymax: y-axis range. [Optional]
"""
def __init__(self,
base, geom,
volume="EMSS", geomvolume="same",
stat="radlen",
xmin=+0., xmax=-1.,
ymin=+0., ymax=-1.,
canvas=0,
legend=False
):
self.name = volume
self.base = base
self.geom = geom
baseFile = get_geom_file(base) # get the files
compFile = get_geom_file(geom)
hname = "h_"+stat+"_"+volume+"_eta" # retrive the histograms from the files
print "Get histo: " + str(hname)
self.histo_base = stat_histo( stat, volume, file=baseFile )
if ( geomvolume == "same" ):
self.histo_comp = stat_histo( stat, volume, compFile )
else:
self.histo_comp = stat_histo( stat, geomvolume, compFile )
self.histo_diff = self.histo_base.Clone( hname + "_diff" ) # difference the histograms
self.histo_diff.Add( self.histo_comp, -1.0 )
self.histo_diff.Divide(self.histo_base) # diff will be (old-new)/old * 100%
if ( canvas == 0 ):
canvas = TCanvas("temp"+base+geom+volume+geomvolume,"Differential 1D: baseline="+base+" compare="+geom,500,400);
self.canvas = canvas
# Detect and apply optional x-axis range
if ( xmax > xmin ):
self.histo_base.GetXaxis().SetRangeUser(xmin,xmax)
self.histo_comp.GetXaxis().SetRangeUser(xmin,xmax)
# ... or zoom in on an appropriate scale
else:
# auto_range( self.histo_base )
# auto_range( self.histo_comp )
xmin = auto_min( self.histo_base )
xmax = auto_max( self.histo_base )
self.histo_base.GetXaxis().SetRangeUser(xmin,xmax)
self.histo_comp.GetXaxis().SetRangeUser(xmin,xmax)
# xmin = TMath.Min( self.histo_base.GetXaxis().GetXmin(),self.histo_comp.GetXaxis().GetXmin() )
# xmax = TMath.Max( self.histo_base.GetXaxis().GetXmax(),self.histo_comp.GetXaxis().GetXmax() )
# print "xmin="+str(xmin)
# print "xmax="+str(xmax)
# Detect and apply optional y-axis range
if ( ymax > ymin ):
self.histo_base.GetYaxis().SetRangeUser(ymin,ymax)
else:
ymin = self.histo_base.GetMinimum()
ymax = TMath.Max( self.histo_base.GetMaximum(),
self.histo_comp.GetMaximum())
ymax *= 1.05
# Current range in y-axis extends from 0 to ymax. We want
# to expand this to go from -0.2*ymax to ymax.
ymin = -0.2 * ymax
self.histo_base.GetYaxis().SetRangeUser(ymin,ymax)
# Draw the baseline and comparison histograms
self.histo_base.SetLineWidth(2)
self.histo_base.SetFillStyle(1001)
self.histo_base.SetFillColor(22)
self.histo_base.Draw()
self.histo_comp.SetLineColor(2)
self.histo_comp.SetLineStyle(2)
self.histo_comp.SetFillStyle(3345)
self.histo_comp.SetFillColor(2)
self.histo_comp.Draw("same")
# Rescale difference histogram so that it is in percent
self.histo_diff.Scale(100.0)
# This is the maximum of the histogram.
yfull_max = self.histo_diff.GetMaximum()
yfull_min = self.histo_diff.GetMinimum()
yfull = TMath.Max( yfull_max, TMath.Abs( yfull_min ) )
self.max_differential = yfull
yfull *= 1.3
if ( yfull == 0. ):
yfull = 1.0
# We need to rescale the histogram so that it fits w/in 10% of ymax
self.histo_diff.Scale( 0.10 * ymax / yfull )
# Next we shift the histogram down by 0.1 * ymax
nbinx=self.histo_diff.GetNbinsX();
i=1
while ( i<=nbinx ):
self.histo_diff[i] -= 0.1 * ymax
i+=1
# Reset the line color and draw on the same plot
self.histo_diff.SetLineColor(4)
self.histo_diff.Draw("same")
self.line = TLine(xmin, -0.1 * ymax, xmax, -0.1*ymax )
self.line.SetLineStyle(3)
self.line.Draw()
# And superimpose an axis on the new plot
xa = xmax
self.axis = TGaxis( xa, -0.2*ymax, xa, 0.0, -yfull, +yfull, 50510, "-+L" )
self.axis.SetLabelSize(0.03)
self.axis.SetLabelOffset(-0.02)
self.axis.SetLineColor(4)
self.axis.SetTextColor(4)
self.axis.SetLabelColor(4)
self.axis.SetNdivisions(4)
# self.axis.SetTitle("(base-comp)/base [%]")
self.axis.SetTitleSize(0.0175)
self.axis.SetTitleOffset(-0.5)
self.axis.Draw();
# Add the legend if requested
if ( legend ):
self.legend = TLegend( 0.78, 0.80, 0.98, 0.98 )
self.legend.AddEntry( self.histo_base, base )
self.legend.AddEntry( self.histo_comp, geom )
self.legend.AddEntry( self.histo_diff, "#frac{"+base+"-"+geom+"}{"+base+"} [%]" )
self.legend.Draw()
def main(): # pylint: disable=too-many-locals, too-many-statements, too-many-branches
"""
Main plotting function
"""
gROOT.SetBatch(True)
# pylint: disable=unused-variable
parser = argparse.ArgumentParser()
parser.add_argument("--database-analysis",
"-d",
dest="database_analysis",
help="analysis database to be used",
required=True)
parser.add_argument("--analysis",
"-a",
dest="type_ana",
help="choose type of analysis",
required=True)
parser.add_argument("--input",
"-i",
dest="input_file",
help="results input file",
required=True)
args = parser.parse_args()
typean = args.type_ana
shape = typean[len("jet_"):]
print("Shape:", shape)
file_in = args.input_file
with open(args.database_analysis, "r") as file_db:
data_param = yaml.safe_load(file_db)
case = list(data_param.keys())[0]
datap = data_param[case]
logger = get_logger()
i_cut = file_in.rfind("/")
rootpath = file_in[:i_cut]
# plotting
# LaTeX string
p_latexnhadron = datap["analysis"][typean]["latexnamehadron"]
p_latexbin2var = datap["analysis"][typean]["latexbin2var"]
v_varshape_latex = datap["analysis"][typean]["var_shape_latex"]
# first variable (hadron pt)
lpt_finbinmin = datap["analysis"][typean]["sel_an_binmin"]
lpt_finbinmax = datap["analysis"][typean]["sel_an_binmax"]
var1ranges = lpt_finbinmin.copy()
var1ranges.append(lpt_finbinmax[-1])
# second variable (jet pt)
v_var2_binning = datap["analysis"][typean]["var_binning2"] # name
lvar2_binmin_reco = datap["analysis"][typean].get("sel_binmin2_reco", None)
lvar2_binmax_reco = datap["analysis"][typean].get("sel_binmax2_reco", None)
p_nbin2_reco = len(lvar2_binmin_reco) # number of reco bins
lvar2_binmin_gen = datap["analysis"][typean].get("sel_binmin2_gen", None)
lvar2_binmax_gen = datap["analysis"][typean].get("sel_binmax2_gen", None)
p_nbin2_gen = len(lvar2_binmin_gen) # number of gen bins
var2ranges_reco = lvar2_binmin_reco.copy()
var2ranges_reco.append(lvar2_binmax_reco[-1])
var2binarray_reco = array(
"d",
var2ranges_reco) # array of bin edges to use in histogram constructors
var2ranges_gen = lvar2_binmin_gen.copy()
var2ranges_gen.append(lvar2_binmax_gen[-1])
var2binarray_gen = array(
"d",
var2ranges_gen) # array of bin edges to use in histogram constructors
# observable (z, shape,...)
v_varshape_binning = datap["analysis"][typean][
"var_binningshape"] # name (reco)
v_varshape_binning_gen = datap["analysis"][typean][
"var_binningshape_gen"] # name (gen)
lvarshape_binmin_reco = \
datap["analysis"][typean].get("sel_binminshape_reco", None)
lvarshape_binmax_reco = \
datap["analysis"][typean].get("sel_binmaxshape_reco", None)
p_nbinshape_reco = len(lvarshape_binmin_reco) # number of reco bins
lvarshape_binmin_gen = \
datap["analysis"][typean].get("sel_binminshape_gen", None)
lvarshape_binmax_gen = \
datap["analysis"][typean].get("sel_binmaxshape_gen", None)
p_nbinshape_gen = len(lvarshape_binmin_gen) # number of gen bins
varshaperanges_reco = lvarshape_binmin_reco.copy()
varshaperanges_reco.append(lvarshape_binmax_reco[-1])
varshapebinarray_reco = array(
"d", varshaperanges_reco
) # array of bin edges to use in histogram constructors
varshaperanges_gen = lvarshape_binmin_gen.copy()
varshaperanges_gen.append(lvarshape_binmax_gen[-1])
varshapebinarray_gen = array(
"d", varshaperanges_gen
) # array of bin edges to use in histogram constructors
file_results = TFile.Open(file_in)
if not file_results:
logger.fatal(make_message_notfound(file_in))
ibin2 = 1
suffix = "%s_%g_%g" % (v_var2_binning, lvar2_binmin_gen[ibin2],
lvar2_binmax_gen[ibin2])
# HF data
nameobj = "%s_hf_data_%d_stat" % (shape, ibin2)
hf_data_stat = file_results.Get(nameobj)
if not hf_data_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_hf_data_%d_syst" % (shape, ibin2)
hf_data_syst = file_results.Get(nameobj)
if not hf_data_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# HF PYTHIA
nameobj = "%s_hf_pythia_%d_stat" % (shape, ibin2)
hf_pythia_stat = file_results.Get(nameobj)
if not hf_pythia_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
# HF ratio
nameobj = "%s_hf_ratio_%d_stat" % (shape, ibin2)
hf_ratio_stat = file_results.Get(nameobj)
if not hf_ratio_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_hf_ratio_%d_syst" % (shape, ibin2)
hf_ratio_syst = file_results.Get(nameobj)
if not hf_ratio_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# inclusive data
nameobj = "%s_incl_data_%d_stat" % (shape, ibin2)
incl_data_stat = file_results.Get(nameobj)
if not incl_data_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_incl_data_%d_syst" % (shape, ibin2)
incl_data_syst = file_results.Get(nameobj)
if not incl_data_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# inclusive PYTHIA
nameobj = "%s_incl_pythia_%d_stat" % (shape, ibin2)
incl_pythia_stat = file_results.Get(nameobj)
if not incl_pythia_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_incl_pythia_%d_syst" % (shape, ibin2)
incl_pythia_syst = file_results.Get(nameobj)
if not incl_pythia_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# inclusive ratio
nameobj = "%s_incl_ratio_%d_stat" % (shape, ibin2)
incl_ratio_stat = file_results.Get(nameobj)
if not incl_ratio_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_incl_ratio_%d_syst" % (shape, ibin2)
incl_ratio_syst = file_results.Get(nameobj)
if not incl_ratio_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# quark PYTHIA
nameobj = "%s_quark_pythia_%d_stat" % (shape, ibin2)
quark_pythia_stat = file_results.Get(nameobj)
if not quark_pythia_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_quark_pythia_%d_syst" % (shape, ibin2)
quark_pythia_syst = file_results.Get(nameobj)
if not quark_pythia_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# gluon PYTHIA
nameobj = "%s_gluon_pythia_%d_stat" % (shape, ibin2)
gluon_pythia_stat = file_results.Get(nameobj)
if not gluon_pythia_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_gluon_pythia_%d_syst" % (shape, ibin2)
gluon_pythia_syst = file_results.Get(nameobj)
if not gluon_pythia_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# plot the results with systematic uncertainties and models
size_can = [800, 800]
offsets_axes = [0.8, 1.1]
margins_can = [0.1, 0.13, 0.1, 0.03]
size_thg = 0.05
offset_thg = 0.85
gStyle.SetErrorX(0) # do not plot horizontal error bars of histograms
fontsize = 0.035
opt_leg_g = "FP"
opt_plot_g = "2"
list_new = [] # list to avoid loosing objects created in loops
# labels
x_latex = 0.16
y_latex_top = 0.83
y_step = 0.055
title_x = v_varshape_latex
title_y = "(1/#it{N}_{jet}) d#it{N}/d%s" % v_varshape_latex
title_full = ";%s;%s" % (title_x, title_y)
title_full_ratio = ";%s;data/MC: ratio of %s" % (title_x, title_y)
text_alice = "#bf{ALICE} Preliminary, pp, #sqrt{#it{s}} = 13 TeV"
text_alice_sim = "#bf{ALICE} Simulation, pp, #sqrt{#it{s}} = 13 TeV"
text_pythia = "PYTHIA 8 (Monash)"
text_pythia_split = "#splitline{PYTHIA 8}{(Monash)}"
text_jets = "charged jets, anti-#it{k}_{T}, #it{R} = 0.4"
text_ptjet = "%g #leq %s < %g GeV/#it{c}, #left|#it{#eta}_{jet}#right| #leq 0.5" % (
lvar2_binmin_reco[ibin2], p_latexbin2var, lvar2_binmax_reco[ibin2])
text_pth = "%g #leq #it{p}_{T}^{%s} < %g GeV/#it{c}, #left|#it{y}_{%s}#right| #leq 0.8" % (
lpt_finbinmin[0], p_latexnhadron,
min(lpt_finbinmax[-1], lvar2_binmax_reco[ibin2]), p_latexnhadron)
text_ptcut = "#it{p}_{T, incl. ch. jet}^{leading track} #geq 5.33 GeV/#it{c}"
text_ptcut_sim = "#it{p}_{T, incl. ch. jet}^{leading h^{#pm}} #geq 5.33 GeV/#it{c} (varied)"
text_sd = "Soft Drop (#it{z}_{cut} = 0.1, #it{#beta} = 0)"
title_thetag = "#it{#theta}_{g} = #it{R}_{g}/#it{R}"
radius_jet = 0.4
# colour and marker indeces
c_hf_data = 0
c_incl_data = 1
c_hf_mc = 2
c_incl_mc = 6
c_quark_mc = 5
c_gluon_mc = 0
# markers
m_hf_data = get_marker(0)
m_incl_data = get_marker(1)
m_hf_mc = get_marker(0, 2)
m_incl_mc = get_marker(1, 2)
m_quark_mc = get_marker(2)
m_gluon_mc = get_marker(3)
# make the horizontal error bars smaller
if shape == "nsd":
for gr in [
hf_data_syst, incl_data_syst, hf_ratio_syst, incl_ratio_syst,
incl_pythia_syst, quark_pythia_syst, gluon_pythia_syst
]:
for i in range(gr.GetN()):
gr.SetPointEXlow(i, 0.1)
gr.SetPointEXhigh(i, 0.1)
# data, HF and inclusive
hf_data_syst_cl = hf_data_syst.Clone()
leg_pos = [.72, .75, .85, .85]
list_obj = [hf_data_syst, incl_data_syst, hf_data_stat, incl_data_stat]
labels_obj = ["%s-tagged" % p_latexnhadron, "inclusive", "", ""]
colours = [
get_colour(i, j) for i, j in zip((c_hf_data, c_incl_data, c_hf_data,
c_incl_data), (2, 2, 1, 1))
]
markers = [m_hf_data, m_incl_data, m_hf_data, m_incl_data]
y_margin_up = 0.46
y_margin_down = 0.05
cshape_data, list_obj_data_new = make_plot("cshape_data_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full)
for gr, c in zip((hf_data_syst, incl_data_syst), (c_hf_data, c_incl_data)):
gr.SetMarkerColor(get_colour(c))
list_obj_data_new[0].SetTextSize(fontsize)
if shape == "nsd":
hf_data_syst.GetXaxis().SetNdivisions(5)
# Draw a line through the points.
if shape == "nsd":
for h in (hf_data_stat, incl_data_stat):
h_line = h.Clone(h.GetName() + "_line")
h_line.SetLineStyle(2)
h_line.Draw("l hist same")
list_new.append(h_line)
cshape_data.Update()
if shape == "rg":
# plot the theta_g axis
gr_frame = hf_data_syst
axis_rg = gr_frame.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_data.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_data.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_data = []
for text_latex in [
text_alice, text_jets, text_ptjet, text_pth, text_ptcut, text_sd
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_data.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_data.Update()
cshape_data.SaveAs("%s/%s_data_%s.pdf" % (rootpath, shape, suffix))
# data and PYTHIA, HF
leg_pos = [.72, .65, .85, .85]
list_obj = [hf_data_syst_cl, hf_data_stat, hf_pythia_stat]
labels_obj = ["data", "", text_pythia_split]
colours = [
get_colour(i, j)
for i, j in zip((c_hf_data, c_hf_data, c_hf_mc), (2, 1, 1))
]
markers = [m_hf_data, m_hf_data, m_hf_mc]
y_margin_up = 0.4
y_margin_down = 0.05
cshape_data_mc_hf, list_obj_data_mc_hf_new = make_plot("cshape_data_mc_hf_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full)
for gr, c in zip([hf_data_syst_cl], [c_hf_data]):
gr.SetMarkerColor(get_colour(c))
leg_data_mc_hf = list_obj_data_mc_hf_new[0]
leg_data_mc_hf.SetHeader("%s-tagged" % p_latexnhadron)
leg_data_mc_hf.SetTextSize(fontsize)
if shape == "nsd":
hf_data_syst_cl.GetXaxis().SetNdivisions(5)
#axis_nsd = hf_data_syst_cl.GetHistogram().GetXaxis()
#x1 = axis_nsd.GetBinLowEdge(1)
#x2 = axis_nsd.GetBinUpEdge(axis_nsd.GetNbins())
#axis_nsd.Set(5, x1, x2)
#for ibin in range(axis_nsd.GetNbins()):
# axis_nsd.SetBinLabel(ibin + 1, "%d" % ibin)
#axis_nsd.SetNdivisions(5)
cshape_data_mc_hf.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = hf_data_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_data_mc_hf.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_data_mc_hf.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_data_mc_hf = []
for text_latex in [text_alice, text_jets, text_ptjet, text_pth, text_sd]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_data_mc_hf.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_data_mc_hf.Update()
cshape_data_mc_hf.SaveAs("%s/%s_data_mc_hf_%s.pdf" %
(rootpath, shape, suffix))
# data and PYTHIA, inclusive
#leg_pos = [.68, .65, .85, .85]
list_obj = [
incl_data_syst, incl_pythia_syst, incl_data_stat, incl_pythia_stat
]
labels_obj = ["data", text_pythia_split]
colours = [
get_colour(i, j) for i, j in zip((c_incl_data, c_incl_mc, c_incl_data,
c_incl_mc), (2, 2, 1, 1))
]
markers = [m_incl_data, m_incl_mc, m_incl_data, m_incl_mc]
y_margin_up = 0.4
y_margin_down = 0.05
cshape_data_mc_incl, list_obj_data_mc_incl_new = make_plot("cshape_data_mc_incl_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full)
for gr, c in zip([incl_data_syst, incl_pythia_syst],
[c_incl_data, c_incl_mc]):
gr.SetMarkerColor(get_colour(c))
leg_data_mc_incl = list_obj_data_mc_incl_new[0]
leg_data_mc_incl.SetHeader("inclusive")
leg_data_mc_incl.SetTextSize(fontsize)
if shape == "nsd":
incl_data_syst.GetXaxis().SetNdivisions(5)
cshape_data_mc_incl.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = incl_data_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_data_mc_incl.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_data_mc_incl.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_data_mc_incl = []
for text_latex in [text_alice, text_jets, text_ptjet, text_ptcut, text_sd]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_data_mc_incl.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_data_mc_incl.Update()
cshape_data_mc_incl.SaveAs("%s/%s_data_mc_incl_%s.pdf" %
(rootpath, shape, suffix))
# Ratios data/MC, HF and inclusive
line_1 = TLine(lvarshape_binmin_reco[0], 1, lvarshape_binmax_reco[-1], 1)
line_1.SetLineStyle(9)
line_1.SetLineColor(1)
line_1.SetLineWidth(3)
#leg_pos = [.72, .7, .85, .85] # with header
leg_pos = [.72, .75, .85, .85] # without header
list_obj = [
hf_ratio_syst, line_1, incl_ratio_syst, hf_ratio_stat, incl_ratio_stat
]
labels_obj = ["%s-tagged" % p_latexnhadron, "inclusive"]
colours = [
get_colour(i, j) for i, j in zip((c_hf_data, c_incl_data, c_hf_data,
c_incl_data), (2, 2, 1, 1))
]
markers = [m_hf_data, m_incl_data, m_hf_data, m_incl_data]
y_margin_up = 0.52
y_margin_down = 0.05
if shape == "nsd":
y_margin_up = 0.22
cshape_ratio, list_obj_ratio_new = make_plot("cshape_ratio_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full_ratio)
cshape_ratio.Update()
for gr, c in zip((hf_ratio_syst, incl_ratio_syst),
(c_hf_data, c_incl_data)):
gr.SetMarkerColor(get_colour(c))
leg_ratio = list_obj_ratio_new[0]
leg_ratio.SetTextSize(fontsize)
#leg_ratio.SetHeader("data/MC")
if shape == "nsd":
hf_ratio_syst.GetXaxis().SetNdivisions(5)
cshape_ratio.Update()
if shape == "rg":
# plot the theta_g axis
gr_frame = hf_ratio_syst
axis_rg = gr_frame.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_ratio.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_ratio.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_ratio = []
for text_latex in [
text_alice, text_jets, text_ptjet, text_pth, text_ptcut, text_sd,
text_pythia
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_ratio.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_ratio.Update()
cshape_ratio.SaveAs("%s/%s_ratio_%s.pdf" % (rootpath, shape, suffix))
# PYTHIA, HF, inclusive, quark, gluon
incl_pythia_syst_cl = incl_pythia_syst.Clone()
y_min_h, y_max_h = get_y_window_his([
hf_pythia_stat, incl_pythia_stat, quark_pythia_stat, gluon_pythia_stat
])
y_min_g, y_max_g = get_y_window_gr(
[incl_pythia_syst, quark_pythia_syst, gluon_pythia_syst])
y_min = min(y_min_h, y_min_g)
y_max = max(y_max_h, y_max_g)
y_margin_up = 0.46
y_margin_down = 0.05
y_min_plot, y_max_plot = get_plot_range(y_min, y_max, y_margin_down,
y_margin_up)
#leg_pos = [.6, .65, .75, .85]
leg_pos = [.72, .55, .85, .85]
list_obj = [
incl_pythia_syst, quark_pythia_syst, gluon_pythia_syst, hf_pythia_stat,
incl_pythia_stat, quark_pythia_stat, gluon_pythia_stat
]
labels_obj = ["inclusive", "quark", "gluon", "%s-tagged" % p_latexnhadron]
colours = [
get_colour(i, j)
for i, j in zip((c_incl_mc, c_quark_mc, c_gluon_mc, c_hf_mc, c_incl_mc,
c_quark_mc, c_gluon_mc), (2, 2, 2, 1, 1, 1, 1))
]
markers = [
m_incl_mc, m_quark_mc, m_gluon_mc, m_hf_mc, m_incl_mc, m_quark_mc,
m_gluon_mc
]
y_margin_up = 0.46
y_margin_down = 0.05
cshape_mc, list_obj_mc_new = make_plot("cshape_mc_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, range_y=[y_min_plot, y_max_plot], margins_c=margins_can, \
title=title_full)
cshape_mc.Update()
for gr, c in zip((incl_pythia_syst, quark_pythia_syst, gluon_pythia_syst),
(c_incl_mc, c_quark_mc, c_gluon_mc)):
gr.SetMarkerColor(get_colour(c))
leg_mc = list_obj_mc_new[0]
leg_mc.SetTextSize(fontsize)
leg_mc.SetHeader(text_pythia_split)
if shape == "nsd":
incl_pythia_syst.GetXaxis().SetNdivisions(5)
cshape_mc.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = hf_pythia_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_mc.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_mc.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_mc = []
for text_latex in [
text_alice_sim, text_jets, text_ptjet, text_pth, text_ptcut_sim,
text_sd
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_mc.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_mc.Update()
cshape_mc.SaveAs("%s/%s_mc_%s.pdf" % (rootpath, shape, suffix))
# PYTHIA, HF, quark, gluon
#leg_pos = [.6, .65, .75, .85]
leg_pos = [.72, .61, .85, .85]
list_obj = [
quark_pythia_syst, gluon_pythia_syst, hf_pythia_stat,
quark_pythia_stat, gluon_pythia_stat
]
labels_obj = ["quark", "gluon", "%s-tagged" % p_latexnhadron]
colours = [
get_colour(i, j)
for i, j in zip((c_quark_mc, c_gluon_mc, c_hf_mc, c_quark_mc,
c_gluon_mc), (2, 2, 1, 1, 1))
]
markers = [m_quark_mc, m_gluon_mc, m_hf_mc, m_quark_mc, m_gluon_mc]
y_margin_up = 0.46
y_margin_down = 0.05
cshape_mc, list_obj_mc_new = make_plot("cshape_mc_qgd_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, range_y=[y_min_plot, y_max_plot], margins_c=margins_can, \
title=title_full)
cshape_mc.Update()
for gr, c in zip((quark_pythia_syst, gluon_pythia_syst),
(c_quark_mc, c_gluon_mc)):
gr.SetMarkerColor(get_colour(c))
leg_mc = list_obj_mc_new[0]
leg_mc.SetTextSize(fontsize)
leg_mc.SetHeader(text_pythia_split)
if shape == "nsd":
quark_pythia_syst.GetXaxis().SetNdivisions(5)
cshape_mc.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = hf_pythia_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_mc.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_mc.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_mc = []
for text_latex in [
text_alice_sim, text_jets, text_ptjet, text_pth, text_ptcut_sim,
text_sd
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_mc.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_mc.Update()
cshape_mc.SaveAs("%s/%s_mc_qgd_%s.pdf" % (rootpath, shape, suffix))
# PYTHIA, HF, inclusive
#leg_pos = [.6, .65, .75, .85]
leg_pos = [.72, .67, .85, .85]
list_obj = [incl_pythia_syst_cl, incl_pythia_stat, hf_pythia_stat]
labels_obj = ["inclusive", "", "%s-tagged" % p_latexnhadron]
colours = [
get_colour(i, j)
for i, j in zip((c_incl_mc, c_incl_mc, c_hf_mc), (2, 1, 1))
]
markers = [m_incl_mc, m_incl_mc, m_hf_mc]
y_margin_up = 0.46
y_margin_down = 0.05
cshape_mc, list_obj_mc_new = make_plot("cshape_mc_id_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, range_y=[y_min_plot, y_max_plot], margins_c=margins_can, \
title=title_full)
# Draw a line through the points.
if shape == "nsd":
for h in (incl_pythia_stat, hf_pythia_stat):
h_line = h.Clone(h.GetName() + "_line")
h_line.SetLineStyle(2)
h_line.Draw("l hist same")
list_new.append(h_line)
cshape_mc.Update()
incl_pythia_syst_cl.SetMarkerColor(get_colour(c_incl_mc))
leg_mc = list_obj_mc_new[0]
leg_mc.SetTextSize(fontsize)
leg_mc.SetHeader(text_pythia_split)
if shape == "nsd":
incl_pythia_syst_cl.GetXaxis().SetNdivisions(5)
cshape_mc.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = hf_pythia_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_mc.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_mc.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_mc = []
for text_latex in [
text_alice_sim, text_jets, text_ptjet, text_pth, text_ptcut_sim,
text_sd
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_mc.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_mc.Update()
cshape_mc.SaveAs("%s/%s_mc_id_%s.pdf" % (rootpath, shape, suffix))
# data inclusive vs PYTHIA, quark, gluon
#leg_pos = [.6, .65, .75, .85]
#leg_pos = [.72, .55, .85, .85]
leg_pos = [.6, .7, .85, .85]
list_obj = [
incl_data_syst, quark_pythia_syst, gluon_pythia_syst, incl_data_stat,
quark_pythia_stat, gluon_pythia_stat
]
labels_obj = ["inclusive (data)", "quark (PYTHIA 8)", "gluon (PYTHIA 8)"]
colours = [
get_colour(i, j)
for i, j in zip((c_incl_data, c_quark_mc, c_gluon_mc, c_incl_data,
c_quark_mc, c_gluon_mc), (2, 2, 2, 1, 1, 1))
]
markers = [
m_incl_data, m_quark_mc, m_gluon_mc, m_incl_data, m_quark_mc,
m_gluon_mc
]
y_margin_up = 0.3
y_margin_down = 0.05
cshape_mc, list_obj_mc_new = make_plot("cshape_mc_data_iqg" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full)
for gr, c in zip((incl_data_syst, quark_pythia_syst, gluon_pythia_syst),
(c_incl_data, c_quark_mc, c_gluon_mc)):
gr.SetMarkerColor(get_colour(c))
leg_mc = list_obj_mc_new[0]
leg_mc.SetTextSize(fontsize)
cshape_mc.Update()
cshape_mc.SaveAs("%s/%s_data_i_mc_qg_%s.pdf" % (rootpath, shape, suffix))
simple_nue.SetLineColor(46)
rebin_nue.SetLineWidth(6)
simple_nue.SetLineWidth(6)
simple_nue.GetXaxis().SetRangeUser(0, 4)
rebin_nue.GetXaxis().SetRangeUser(0, 4)
simple_nue.Draw("hist")
rebin_nue.Draw("hist same")
# Do not draw the Y axis label on the upper plot and redraw a small
# axis instead, in order to avoid the first label (0) to be clipped.
rebin_nue.GetYaxis().SetLabelSize(0.)
axis = TGaxis(-5, 20, -5, 220, 20, 220, 510, "")
axis.SetLabelFont(43) # Absolute font size in pixel (precision 3)
axis.SetLabelSize(15)
axis.Draw()
leg_nue = TLegend(0.75, 0.95, 0.75, 0.95)
leg_nue.AddEntry(simple_nue, "nue gSimple Flux", "l")
leg_nue.AddEntry(rebin_nue, "nue dk2nu Flux", "l")
leg_nue.Draw()
c6.cd()
pad2 = TPad("pad2", "pad2", 0, 0.05, 1, 0.3)
pad2.SetTopMargin(0.1)
pad2.SetBottomMargin(0.1)
pad2.SetGridx() # vertical grid
pad2.Draw()
pad2.cd() # pad2 becomes the current pad
simple_nue.SetLineColor(46)
corrected_nue.SetLineWidth(4)
simple_nue.SetLineWidth(4)
simple_nue.GetXaxis().SetRangeUser(0, 4)
corrected_nue.GetXaxis().SetRangeUser(0, 4)
simple_nue.Draw("hist")
corrected_nue.Draw("hist same")
# Do not draw the Y axis label on the upper plot and redraw a small
# axis instead, in order to avoid the first label (0) to be clipped.
corrected_nue.GetYaxis().SetLabelSize(0.)
axis = TGaxis(-5, 20, -5, 220, 20, 220, 510, "")
axis.SetLabelFont(43) # Absolute font size in pixel (precision 3)
axis.SetLabelSize(15)
axis.Draw()
leg_nue = TLegend(0.75, 0.95, 0.75, 0.95)
leg_nue.AddEntry(simple_nue, "nue std. Flux", "l")
leg_nue.AddEntry(corrected_nue, "nue cor. Flux", "l")
leg_nue.Draw()
c6.cd()
pad2 = TPad("pad2", "pad2", 0, 0.05, 1, 0.3)
pad2.SetTopMargin(0.1)
pad2.SetBottomMargin(0.1)
pad2.SetGridx() # vertical grid
pad2.Draw()
pad2.cd() # pad2 becomes the current pad
