def make2dFRPlot(dataType, canv, outputDir, dataset, hist, title_indeces, name='', exportinroot = False, folder = 'fakerates_2d/', isprompt = False):
#
# produces all 2d fake rate maps
#
# this function takes the following paramters:
# dataType..........type of the lepton ('mu', 'el')
# canv..............canvas to be plotted
# outputDir.........basic output directory
# dataset...........dataset (only to take the title of the X and Y axis from)
# hist..............histogram to be plotted
# title_indeces.....list of two elements which are the indeces of the histograms that carry the X anc Y axis titles in their X axis title
# name..............name of the output file
# exportinroot......True if we want to export the canvas in a root file
# folder............one may change the last outputfolder to something else than fakerates_2d
# isprompt..........temporary solution to plot prompt ratio
# define pad
pad_plot = helper.makePad('tot')
pad_plot.cd()
pad_plot.SetTicks(1,1)
# draw histogram
hist.Draw("text colz e")
# cosmetics
hist.SetMarkerColor(ROOT.kBlack)
hist.SetMarkerSize(1.8)
hist.GetXaxis().SetTitle(helper.getXTitle(dataType, dataset.hists[title_indeces[0]]))
hist.GetYaxis().SetTitle(helper.getXTitle(dataType, dataset.hists[title_indeces[1]]))
hist.GetXaxis().SetTitleSize(0.07)
hist.GetXaxis().SetLabelSize(0.07)
hist.GetYaxis().SetTitleSize(0.07)
hist.GetYaxis().SetLabelSize(0.07)
hist.SetMinimum(0.0)
if dataType == 'el': hist.SetMaximum(0.6)
else : hist.SetMaximum(0.4)
if isprompt == True: prepend = 'PR'
else : prepend = 'FR'
hist.SetTitle(prepend + " 2d Map (" + helper.getLegendName(name) + ")")
# save plot
helper.saveCanvas(canv, pad_plot, outputDir + folder, prepend + "_2dmap_" + name.lower().replace(" ", "_"), False, exportinroot)
pad_plot.Close()
def make2dPlot(dataType, canv, pad_plot, outputDir, hist, postpend, file_name):
#
# a given canvas, which carries a 2d histogram, is plotted (obviously no ratio plot)
#
# this function takes the following parameters:
# dataType....type of the lepton ('mu', 'el')
# canv........canvas to be plotted
# pad_plot....pad to be plotted
# outputDir...basic output directory
# hist........histogram in the canvas (only important to take the axis labels)
# postpend....postpend to the filename
# file_name...filename of the plot to be created
postpend = "_" + str(postpend.lower())
# draw histogram
hist.Draw('colz')
# ste style thingies
hist.GetXaxis().SetTitle(helper.getXTitle(dataType, hist))
hist.GetYaxis().SetTitle(helper.getYTitle(hist))
hist.GetYaxis().SetTitleSize(0.055)
hist.GetYaxis().SetLabelSize(0.07)
hist.GetYaxis().SetNdivisions(505)
hist.GetXaxis().SetTitleSize(0.07)
hist.GetXaxis().SetLabelSize(0.07)
hist.GetXaxis().SetNdivisions(505)
hist.SetTitle("")
hist.SetMarkerColor(ROOT.kBlack)
hist.SetLineColor(ROOT.kBlack)
# save plot
ROOT.gPad.RedrawAxis()
helper.saveCanvas(canv, pad_plot, outputDir + "plots_2d/", file_name + postpend, False)
def make1dFRPlot(dataType, canv, pad_plot, pad_ratio, outputDir, hists, title_hist, file_name, usemarkers = False, ratio_title = '', ratio_max = 1.99, ratio_min = 0.0):
#
# produces all 1d fake rate plots (this function, among others, wants to be improved)
# NOTE: when calling this function make sure that the first histogram in hists is the total data, and the second is the total bg (important for ratio)
#
# this function takes the following paramters:
# dataType..........type of the lepton ('mu', 'el')
# canv..............canvas to be plotted
# pad_plot..........pad of the plot to be plotted
# pad_ratio.........pad of the ratio to be plotted
# outputDir.........basic output directory
# hists.............list of histograms to be plotted to be plotted on top of each other
# title_hist........histogram to get the X axis title from
# file_name.........name of the output file
# usemarkers........True if we want to plot both data and mc with markers (e.g. comparing different ewk subtraction methods), False then mc is plotted as a colored rectangle
# ratio_title.......Y axis title of the ratio plot
# ratio_max.........maximum Y range of the ratio plot
# ratio_min.........minimum Y range of the ratio plot
# define pads, draw options (we use markers for mc if
pad_plot.cd()
if usemarkers:
markersize_mc = 1.4
drawoption_data = "p e1"
drawoption_mc = "p e1 same"
legendoption_mc = "pe"
else:
markersize_mc = 0
drawoption_data = "p e1 x0"
drawoption_mc = "e2 same"
legendoption_mc = "f"
# draw histograms
hists[0][0].Draw(drawoption_data)
hists[0][0].SetMarkerSize(1.4)
for i in range(1,len(hists)):
hists[i][0].SetMarkerSize(markersize_mc)
hists[i][0].Draw(drawoption_mc)
hists[0][0].Draw(drawoption_data + " same")
# set plot style
for i in range(len(hists)):
hists[i][0] = helper.setFRPlotStyle(dataType, hists[i][0], helper.getColor(hists[i][1]))
if i+1 == len(hists):
hists[i][0] = helper.setFRPlotStyle(dataType, hists[i][0], helper.getColor(hists[i][1]), 'FR as function of ' + helper.getXTitle(dataType, title_hist), title_hist)
# define legend, fill and draw it
leg1 = helper.makeLegend(0.22, 0.4, 0.47, 0.65)
#if dataType == 'el': leg1 = helper.makeLegend(0.62, 0.08, 0.87, 0.33)
#else : leg1 = helper.makeLegend(0.22, 0.6, 0.47, 0.85)
leg1.AddEntry(hists[0][0], helper.getLegendName(hists[0][1]), 'pe')
for i in range(1,len(hists)):
leg1.AddEntry(hists[i][0], helper.getLegendName(hists[i][1]), legendoption_mc)
leg1.Draw()
# create RATIO PLOT
pad_ratio.cd()
data_bg_ratio = copy.deepcopy(hists[0][0])
data_bg_ratio.Divide(hists[1][0])
data_bg_ratio.Draw("p e")
data_bg_ratio = helper.setRatioStyle(dataType, data_bg_ratio, title_hist, ratio_title, ratio_max, ratio_min)
line = helper.makeLine(data_bg_ratio.GetXaxis().GetXmin(), 1.00, data_bg_ratio.GetXaxis().GetXmax(), 1.00)
line.Draw()
# produce plot
helper.saveCanvas(canv, pad_plot, outputDir + "fakerates_1d/", file_name)
def PlotJPtZooms(dataType, outputDir, dataset, mcsets, leg):
#
# plotting JetPt and JetRawPt distributions in bins of lepton eta and lepton pt (binning according to fake rate maps)
# NOTE: ALL SAMPLES MUST CONTAIN THE EXACT SAME LIST OF HISTOGRAMS, OTHERWISE THIS FUNCTION WILL NOT WORK
#
# this function takes the following parameters:
# dataType....type of the lepton ('mu', 'el')
# outputDir...basic output directory
# datasets....list of data samples [datasample1, datasample2, ..]
# mcsets......list of mc samples [mcsample1, mcsample2, ..]
# leg.........legend to be plotted
# define canvas and pads
canv = helper.makeCanvas(900, 675, 'c1dZ')
pad_plot = helper.makePad('tot')
pad_plot.SetTicks(1,1)
pad_plot.cd()
# text for eta binning
t_eta = ROOT.TLatex()
t_eta.SetNDC()
t_eta.SetTextSize(0.05)
t_eta.SetTextAlign(11)
t_eta.SetTextColor(ROOT.kBlack)
# text for pt binning
t_pt = ROOT.TLatex()
t_pt.SetNDC()
t_pt.SetTextSize(0.05)
t_pt.SetTextAlign(11)
t_pt.SetTextColor(ROOT.kBlack)
# bins in eta and pt, with total number of bins
bins_eta = [0.0, 1.0, 2.4]
#bins_pt = [10.0, 20.0, 30.0, 35.0, 37.5, 40.0, 42.5, 45.0, 47.5, 50.0, 55.0, 60.0, 70.0] # old
bins_pt = [10.0, 20.0, 22.5, 25.0, 27.5, 30.0, 32.5, 35.0, 40.0, 50.0, 60.0, 70.0] # new
bins_tot = (len(bins_eta)-1)*(len(bins_pt)-1)
# iterate over all histograms in root files
# it does not matter which sample we iterate on, as all samples contain the same list of histograms
for hist in dataset.hists:
# get index of the histogram
i = dataset.hists.index(hist)
# only histograms in the parameter histlist are plotted
if not "JPtZoom" in hist.GetName(): continue
# pre- and postpends
prepend = ''
postpend = ''
if '_Loose_' in hist.GetName(): prepend = 'Loose_'
if '_Tight_' in hist.GetName(): prepend = 'Tight_'
# get the id of the plot, i.e. the last number in the name (e.g. '0' in h_Loose_DJPtZoomC_0)
id = hist.GetName().split('_')[-1]
# draw data
hist.Scale(1.0/hist.Integral())
hist.SetFillStyle(0)
hist.SetLineStyle(2)
hist.Draw("HIST")
max = hist.GetMaximum()
# draw mc samples
for mc in mcsets:
mc.hists[i].Scale(1.0/mc.hists[i].Integral())
mc.hists[i].SetFillStyle(0)
mc.hists[i].Draw("HIST SAME")
if mc.hists[i].GetMaximum()>max: max = mc.hists[i].GetMaximum()
# do some cosmetics
hist.SetMaximum(1.5*max)
hist.GetXaxis().SetTitle(helper.getXTitle(dataType, hist))
hist.GetYaxis().SetTitle("1/Integral")
hist.SetTitle("")
hist.GetXaxis().SetTitleSize(0.07)
hist.GetXaxis().SetLabelSize(0.07)
hist.GetYaxis().SetTitleSize(0.07)
hist.GetYaxis().SetLabelSize(0.07)
hist.GetXaxis().SetNdivisions(505)
hist.GetYaxis().SetNdivisions(505)
# draw legend
leg.Draw()
# write bin texts
m = int(id)//(len(bins_pt)-1)
n = int(id)%(len(bins_pt)-1)
if "ZoomC" in hist.GetName(): write = "corr."
else: write = "raw"
text_eta = str(bins_eta[m]) + " #leq jet-|#eta| < " + str(bins_eta[m+1])
text_pt = str(bins_pt[n]) + " #leq jet-p_{T} (" + write + ") < " + str(bins_pt[n+1])
t_eta.DrawLatex(0.22, 0.8, text_eta)
t_pt.DrawLatex(0.22, 0.73, text_pt)
# draw plots
helper.saveCanvas(canv, pad_plot, outputDir + "zoom_jpt/", prepend + helper.getSaveName(hist, '-2:') + postpend, False)
