class CutFlowHistMaker(object):
def __init__(self, dataset_manager, analysis):
self.entries = []
self.states = []
self.luminosity = 0
self.config_factory = ConfigHistFactory(dataset_manager,
analysis + "/CutFlow",
)
def setLuminosity(self, lumi):
self.luminosity = lumi
for entry in self.entries:
entry.setLuminosity(lumi)
def setStates(self, states):
self.states = states
for entry in self.entries:
entry.setStates(states)
def addEntry(self, entry):
if self.luminosity != 0:
entry.setLuminosity(self.luminosity)
if self.states != []:
entry.setStates(self.states)
self.entries.append(entry)
def setLogFile(log_file):
self.log_file = log_file
def getHist(self, plot_group):
nbins = len(self.entries)
hist = ROOT.TH1F(plot_group, plot_group, nbins, 0, nbins)
for i, entry in enumerate(self.entries):
hist.SetBinContent(i+1, entry.getValue(plot_group))
hist.GetXaxis().SetBinLabel(i+1, entry.getName())
self.config_factory.setHistAttributes(hist, "CutFlow", plot_group)
return hist
class CutFlowHistMaker(object):
def __init__(self, name, dataset_manager, analysis):
self.name = name
self.entries = []
self.states = []
self.luminosity = 0
self.config_factory = ConfigHistFactory(dataset_manager,
analysis.split("_")[0],
)
def setLuminosity(self, lumi):
self.luminosity = lumi
for entry in self.entries:
entry.setLuminosity(lumi)
def setStates(self, states):
self.states = states
for entry in self.entries:
entry.setStates(states)
def addEntry(self, entry):
if self.luminosity != 0:
entry.setLuminosity(self.luminosity)
if self.states != []:
entry.setStates(self.states)
self.entries.append(entry)
def setLogFile(log_file):
self.log_file = log_file
def getHist(self, plot_group, unc, hist_file, scale_facs=False):
nbins = len(self.entries)
hist = ROOT.TH1D(plot_group, plot_group, nbins, 0, nbins)
for i, entry in enumerate(self.entries):
value, error = entry.getValue(plot_group, unc, hist_file, scale_facs)
hist.SetBinContent(i+1, value)
hist.SetBinError(i+1, error)
hist.GetXaxis().SetBinLabel(i+1, entry.getName())
self.config_factory.setHistAttributes(hist, self.name, plot_group)
return hist
def __init__(self, name, dataset_manager, analysis):
self.name = name
self.entries = []
self.states = []
self.luminosity = 0
self.config_factory = ConfigHistFactory(dataset_manager,
analysis.split("_")[0],
)
def __init__(self, dataset_manager, analysis):
self.entries = []
self.states = []
self.luminosity = 0
self.config_factory = ConfigHistFactory(dataset_manager,
analysis + "/CutFlow",
)
def __init__(self, name, dataset_manager, analysis):
self.name = name
self.analysis = analysis
self.config_factory = ConfigHistFactory(
dataset_manager,
self.analysis,
)
self.states = "eee,eem,emm,mmm"
self.luminosity = 1.
self.additional_cut = ""
def main():
args = getComLineArgs()
ROOT.gROOT.SetBatch(True)
ROOT.TProof.Open("workers=12")
filelist = getListOfFiles(args.files_to_plot, args.selection)
path = "/cms/kdlong" if "hep.wisc.edu" in os.environ["HOSTNAME"] else "/afs/cern.ch/user/k/kelong/work"
print "MANAGER PATH IS ", path
config_factory = ConfigHistFactory("%s/AnalysisDatasetManager" % path, args.selection, args.object_restrict)
branches = (
config_factory.getListOfPlotObjects()
if args.branches == "all"
else [x.strip() for x in args.branches.split(",")]
)
cut_string = args.make_cut
(plot_path, html_path) = helper.getPlotPaths(args.selection, args.folder_name, True)
for branch_name in branches:
hist_stack = getStacked(
config_factory,
args.selection,
filelist,
branch_name,
args.channels,
not args.no_overflow,
cut_string,
args.luminosity,
args.no_scalefactors,
args.uncertainties,
)
if not args.no_data:
data_hist = helper.getConfigHist(
config_factory, "data", args.selection, branch_name, args.channels, not args.no_overflow, cut_string
)
with open("temp.txt", "a") as events_log_file:
events_log_file.write("\nNumber of events in data: %i" % data_hist.Integral())
else:
data_hist = 0
canvas = helper.makePlot(hist_stack, data_hist, branch_name, args)
helper.savePlot(canvas, plot_path, html_path, branch_name, True, args)
makeSimpleHtml.writeHTML(html_path, args.selection)
def main():
args = getComLineArgs()
ROOT.gROOT.SetBatch(True)
(plot_path, html_path) = helper.getPlotPaths(args.selection,
args.folder_name, True)
meta_info = '-'*80 + '\n' + \
'Script called at %s\n' % datetime.datetime.now() + \
'The command was: %s\n' % ' '.join(sys.argv) + \
'-'*80 + '\n'
rtfile = ROOT.TFile(args.hist_file)
channels = args.channels.split(",")
hist_info = {}
hist_info["predyield"] = OrderedDict(
{chan: [0, 0]
for chan in channels + ["total"]})
for branch in args.branches.split(","):
with open("temp.txt", "w") as mc_file:
mc_file.write(meta_info)
mc_file.write("Selection: %s" % args.selection)
mc_file.write("\nPlotting branch: %s\n" % branch)
plot_name = branch
if args.append_to_name:
plot_name += "_" + args.append_to_name
hist_stack = ROOT.THStack("stack_postfit", "stack_postfit")
signal_stack = ROOT.THStack("signalstack_prefit", "sig_prefit")
data_hist = 0
plot_groups = args.files_to_plot.split(",")
if not args.no_data:
plot_groups.append("data")
if args.signal_files:
plot_groups.extend(args.signal_files.split(","))
isHiggs = "higgs" in args.signal_files.lower()
for i, plot_group in enumerate(plot_groups):
hist_info[plot_group] = OrderedDict(
{chan: [0, 0]
for chan in channels + ["total"]})
isSignal = False
central_hist = 0
for chan in channels:
folder = "shapes_fit_b" if args.backgroundOnly else "shapes_fit_s"
if i >= len(
args.files_to_plot.split(",")) + (not args.no_data):
isSignal = True
if plot_group != "EW-WZjj":
folder = "shapes_prefit"
hist_name = "/".join([
folder, chan, plot_group
if plot_group != "wzjj-ewk_filled" else "EW-WZjj"
])
hist = rtfile.Get(hist_name)
if not hist:
raise RuntimeError("Error: Failed to find hist %s" %
hist_name)
if hist.InheritsFrom("TGraph"):
hist = histFromGraph(hist, "_".join([plot_group, chan]))
if args.noCR:
hist = removeControlRegion(hist)
if "MTWZ" in plot_name:
hist = rebinMTWZ(hist, hist_name, isHiggs)
elif args.rebin:
hist = setBinning(hist, hist_name, args.rebin)
if "yieldByChannel" in plot_name:
hist = getYieldByChannelHist(hist, chan)
if not central_hist:
central_hist = hist
central_hist.SetName(plot_group)
else:
central_hist.Add(hist)
error = array.array('d', [0])
integral = hist.IntegralAndError(0, hist.GetNbinsX(), error)
hist_info[plot_group][chan] = (integral, error[0])
with open("temp.txt", "a") as mc_file:
mc_file.write(
"\nYield for %s in channel %s is %0.3f $pm$ %0.3f" %
(plot_group, chan, integral, error[0]))
path = "/cms/USER" if "hep.wisc.edu" in os.environ['HOSTNAME'] else \
"/afs/cern.ch/user/k/USER/work"
path = path.replace("USER", os.environ["USER"])
config_factory = ConfigHistFactory(
"%s/AnalysisDatasetManager" % path,
args.selection.split("_")[0],
)
scale_fac = 1
scale = False
error = array.array('d', [0])
integral = central_hist.IntegralAndError(0,
central_hist.GetNbinsX(),
error)
hist_info[plot_group]["total"] = (integral, error[0])
with open("temp.txt", "a") as mc_file:
mc_file.write("\nCombined yield for %s is %0.3f $pm$ %0.3f" %
(plot_group, integral, error[0]))
config_factory.setHistAttributes(central_hist, branch, plot_group)
if plot_group != "data" and not isSignal:
hist_stack.Add(central_hist)
elif isSignal:
signal_stack.Add(central_hist)
else:
data_hist = central_hist
data_hist.Sumw2(False)
data_hist.SetBinErrorOption(ROOT.TH1.kPoisson)
if not signal_stack.GetHists():
signal_stack = 0
error_hist = 0
bkerror_hist = 0
folder = "shapes_fit_b" if args.backgroundOnly else "shapes_fit_s"
for chan in channels:
bkerror_chan = rtfile.Get("/".join(
[folder, chan, "total_background"]))
error_chan = rtfile.Get("/".join([folder, chan, "total"]))
if args.noCR:
error_chan = removeControlRegion(error_chan)
bkerror_chan = removeControlRegion(bkerror_chan)
if "MTWZ" in plot_name:
error_chan = rebinMTWZ(error_chan, "tmp", isHiggs)
bkerror_chan = rebinMTWZ(bkerror_chan, "bktmp", isHiggs)
if "yieldByChannel" in plot_name:
error_chan = getYieldByChannelHist(error_chan, chan)
bkerror_chan = getYieldByChannelHist(bkerror_chan, chan)
if not error_hist:
error_hist = error_chan.Clone("errors")
bkerror_hist = bkerror_chan.Clone("bkerrors")
else:
error_hist.Add(error_chan)
bkerror_hist.Add(bkerror_chan)
error = array.array('d', [0])
integral = bkerror_chan.IntegralAndError(0,
bkerror_chan.GetNbinsX(),
error)
hist_info["predyield"][chan] = (integral, error[0])
error = array.array('d', [0])
integral = bkerror_hist.IntegralAndError(1, bkerror_hist.GetNbinsX(),
error)
hist_info["predyield"]["total"] = (integral, error[0])
plotter.setErrorsStyle(error_hist)
canvas = helper.makePlots([hist_stack], [data_hist],
plot_name,
args,
signal_stacks=[signal_stack],
errors=[error_hist] if error_hist else [])
if "CR" not in plot_name and "unrolled" in plot_name:
ratioPad = canvas.GetListOfPrimitives().FindObject("ratioPad")
stackPad = canvas.GetListOfPrimitives().FindObject("stackPad")
ratiohist = ratioPad.GetListOfPrimitives().FindObject(
'%s_canvas_central_ratioHist' % plot_name)
xaxis = hist.GetXaxis()
maximum = hist_stack.GetHistogram().GetMaximum()
for i in [4, 8]:
line = ROOT.TLine(xaxis.GetBinUpEdge(i),
hist_stack.GetMinimum(),
xaxis.GetBinUpEdge(i), maximum)
line.SetLineStyle(7)
line.SetLineColor(ROOT.kGray + 2)
line.SetLineWidth(2)
stackPad.cd()
line.Draw()
ROOT.SetOwnership(line, False)
for i, label in enumerate(
["#in [2.5, 4.0]", "#in [4.0, 5.0]", "#geq 5.0 "]):
xmin = 0.215 + 0.24 * i + 0.052 * (i == 2)
ymin = 0.12 if i == 2 else 0.5
ymax = ymin + (0.2 if i == 0 else 0.18)
xmax = xmin + (0.19 if i == 0 else 0.175)
text_box = ROOT.TPaveText(xmin, ymin, xmax, ymax, "NDCnb")
text_box.SetFillColor(0)
text_box.SetTextFont(42)
text_box.AddText("|#scale[0.5]{ }#Delta#eta_{jj}| %s" % label)
text_box.Draw()
ROOT.SetOwnership(text_box, False)
makeLogFile(channels, hist_info, args)
stackPad = canvas.GetListOfPrimitives().FindObject("stackPad")
stackPad.RedrawAxis()
# Force it to offset in desperate situations
#ratioPad = canvas.GetListOfPrimitives().FindObject("ratioPad")
#ratiohist = ratioPad.GetListOfPrimitives().FindObject('%s_canvas_central_ratioHist' % plot_name)
#ratiohist.GetXaxis().SetTitleOffset(1.5)
canvas.Modified()
canvas.Update()
helper.savePlot(canvas, plot_path, html_path, plot_name, True, args)
makeSimpleHtml.writeHTML(html_path.replace("/plots", ""),
args.selection)
def main():
args = getComLineArgs()
logging.basicConfig(level=(logging.DEBUG if args.debug else (logging.ERROR if args.quiet else logging.INFO)))
ROOT.gROOT.SetBatch(True)
ROOT.gStyle.SetOptDate(0)
if args.hist_file == "":
ROOT.TProof.Open('workers=12')
filelist = UserInput.getListOfFiles(args.files_to_plot, args.selection)
path = "/cms/kdlong" if "hep.wisc.edu" in os.environ['HOSTNAME'] else \
"/afs/cern.ch/work/m/mumuhamm/WBoson/CMSSW_11_0_0/src/Data_Manager"
config_factory = ConfigHistFactory(
"%s/AnalysisDatasetManager" % path,
#args.selection.split("_")[0],
args.selection,
args.object_restrict
)
branches = config_factory.getListOfPlotObjects() if args.branches == "all" \
else [x.strip() for x in args.branches.split(",")]
cut_string = args.make_cut
(plot_path, html_path) = helper.getPlotPaths(args.selection, args.folder_name, True)
meta_info = '-'*80 + '\n' + \
'Script called at %s\n' % datetime.datetime.now() + \
'The command was: %s\n' % ' '.join(sys.argv) + \
'-'*80 + '\n'
for branch in branches:
hist_stacks = []
signal_stacks = []
data_hists = []
for branch_name in branch.split("+"):
with open("temp.txt", "w") as mc_file:
mc_file.write(meta_info)
mc_file.write("Selection: %s" % args.selection)
mc_file.write("\nAdditional cut: %s" % ("None" if cut_string == "" else cut_string))
mc_file.write("\nLuminosity: %0.2f fb^{-1}" % (args.luminosity))
mc_file.write("\nPlotting branch: %s\n" % branch_name)
try:
hist_stack = getStacked("stack_"+branch_name, config_factory, args.selection, filelist,
branch_name, args.channels, args.blinding, not args.no_overflow, args.latex, cut_string,
args.luminosity, args.rebin, args.uncertainties, args.hist_file, args.scale)
except ValueError as e:
logging.warning('\033[91m'+ str(e)+'\033[0m')
continue
if args.data != 'none':
if args.hist_file == "":
data_hist = helper.getConfigHistFromTree(config_factory, args.data, args.selection,
branch_name, args.channels, args.blinding, 1, not args.no_overflow, args.rebin,
cut_string)
else:
data_hist = helper.getConfigHistFromFile(args.hist_file, config_factory, args.data,
args.selection, branch_name, args.channels,addOverflow=(not args.no_overflow), rebin=args.rebin)
with open("temp.txt", "a") as events_log_file:
events_log_file.write("\nNumber of events in data: %i\n" % data_hist.Integral())
else:
data_hist = 0
signal_stack = 0
if len(args.signal_files) > 0:
signal_filelist = UserInput.getListOfFiles(args.signal_files, args.selection)
signal_stack = getStacked("signal_stack_"+branch_name, config_factory, args.selection, signal_filelist,
branch_name, args.channels, args.blinding, not args.no_overflow, args.latex, cut_string,
args.luminosity, args.rebin, args.uncertainties, args.hist_file)
hist_stacks.append(hist_stack)
signal_stacks.append(signal_stack)
data_hists.append(data_hist)
if not hist_stacks:
continue
name = branch.replace("+","_")
plot_name = name if args.append_to_name == "" else "_".join([name, args.append_to_name])
#embed()
canvas = helper.makePlots(hist_stacks, data_hists, name, args, signal_stacks)
#ratioPad = canvas.GetListOfPrimitives().FindObject("ratioPad")
#stackPad = canvas.GetListOfPrimitives().FindObject("stackPad")
#ratiohist = ratioPad.GetListOfPrimitives().FindObject('%s_canvas_central_ratioHist' % name)
#for i in ratioPad.GetListOfPrimitives(): print i
#xaxis = hist.GetXaxis()
#xaxis.SetLabelOffset(1.2)
helper.savePlot(canvas, plot_path, html_path, plot_name, True, args)
makeSimpleHtml.writeHTML(html_path.replace("/plots",""), args.selection)
def main():
args = getComLineArgs()
ROOT.gROOT.SetBatch(True)
branches = [x.strip() for x in args.branches.split(",")]
(plot_path, html_path) = helper.getPlotPaths(args.selection,
args.folder_name, True)
meta_info = '-'*80 + '\n' + \
'Script called at %s\n' % datetime.datetime.now() + \
'The command was: %s\n' % ' '.join(sys.argv) + \
'-'*80 + '\n'
rtfile = ROOT.TFile(args.hist_file)
for branch in args.branches.split(","):
with open("temp.txt", "w") as mc_file:
mc_file.write(meta_info)
mc_file.write("Selection: %s" % args.selection)
mc_file.write("\nPlotting branch: %s\n" % branch)
systematics = args.systematics.split(",")
systs = "_".join(systematics)
plot_name = "_".join([branch, systs]) if args.append_to_name == "" \
else "_".join([branch, systs, args.append_to_name])
hist_stack = ROOT.THStack("stack_" + branch, "stack_" + branch)
file_names = args.files_to_plot.split(",")
for i, file_name in enumerate(file_names):
systematic = systematics[i]
central_hist = 0
for chan in args.channels.split(","):
hist_name = file_name.replace(
"_standalone", "") + "/" + "_".join([branch, chan])
uphist_name = hist_name.replace(
chan, "_".join([systematic + "Up", chan]))
downhist_name = hist_name.replace(
chan, "_".join([systematic + "Down", chan]))
if not central_hist:
central_hist = rtfile.Get(hist_name)
up_hist = rtfile.Get(uphist_name)
down_hist = rtfile.Get(downhist_name)
central_hist = rebinHist(central_hist, args.rebin)
up_hist = rebinHist(up_hist, args.rebin)
down_hist = rebinHist(down_hist, args.rebin)
central_hist.Draw()
else:
if i == 0 or file_name != file_names[i - 1]:
central_hist_chan = rtfile.Get(hist_name)
central_hist_chan = rebinHist(central_hist_chan,
args.rebin)
central_hist.Add(central_hist_chan)
up_hist_chan = rtfile.Get(uphist_name)
down_hist_chan = rtfile.Get(downhist_name)
up_hist_chan = rebinHist(up_hist_chan, args.rebin)
down_hist_chan = rebinHist(down_hist_chan, args.rebin)
up_hist.Add(up_hist_chan)
down_hist.Add(down_hist_chan)
path = "/cms/uhussain" if "hep.wisc.edu" in os.environ['HOSTNAME'] else \
"/afs/cern.ch/user/u/uhussain/work"
config_factory = ConfigHistFactory(
"%s/ZZ4lAnalysisDatasetManager" % path,
args.selection.split("_")[0],
)
scale_fac = 1
scale = True
# Normalize to data in CR
if file_name in ["wz", "wz_standalone"]:
scale_fac = 0.8224
elif file_name in ["wz-powheg", "wz-powheg_standalone"]:
scale_fac = (191 - (28.78 + 3.84 + 18.35 + 22.27)) / 139.43
if scale:
central_hist.Scale(scale_fac)
up_hist.Scale(scale_fac)
down_hist.Scale(scale_fac)
with open("temp.txt", "a") as mc_file:
mc_file.write("\nYield for %s is %0.2f" %
(file_name, central_hist.Integral()))
branch_name = branch.replace("_Fakes", "")
config_factory.setHistAttributes(central_hist, branch_name,
file_name)
config_factory.setHistAttributes(up_hist, branch_name, file_name)
config_factory.setHistAttributes(down_hist, branch_name, file_name)
central_hist.SetMinimum(0.001)
central_hist.SetFillColor(0)
up_hist.SetFillColor(0)
down_hist.SetFillColor(0)
central_hist.SetLineStyle(1)
central_hist.SetLineWidth(2)
up_hist.SetLineWidth(2)
down_hist.SetLineWidth(2)
up_hist.SetLineStyle(5)
down_hist.SetLineStyle(5)
#down_hist.SetLineColor(ROOT.TColor.GetColor("#980000"))
if "wzQCDModeling" in up_hist.GetName():
print "Oui oui"
up_hist.SetLineColor(ROOT.TColor.GetColor("#980000"))
down_hist.SetLineColor(ROOT.TColor.GetColor("#980000"))
#elif "wz-mgmlm_scale" in up_hist.GetName():
# up_hist.SetLineColor(ROOT.TColor.GetColor("#016300"))
hist_stack.Add(central_hist)
hist_stack.Add(up_hist)
hist_stack.Add(down_hist)
canvas_dimensions = [800, 800
] if "unrolled" not in branch else [1200, 800]
canvas = ROOT.TCanvas("canvas", "canvas", *canvas_dimensions)
hist_stack.Draw("nostack hist")
hist_stack.SetMinimum(central_hist.GetMinimum() * args.scaleymin)
hist_stack.SetMaximum(central_hist.GetMaximum() * args.scaleymax)
hist_stack.GetHistogram().GetYaxis().SetTitle("Events / bin")
hist_stack.GetHistogram().GetYaxis().SetTitleOffset(1.05)
if not args.no_decorations:
ROOT.dotrootImport('uhussain/CMSPlotDecorations')
scale_label = "Normalized to Unity" if args.luminosity < 0 else \
"%0.1f fb^{-1}" % args.luminosity
lumi_text = ""
if args.thesis:
lumi_text = "Thesis"
elif args.preliminary:
lumi_text = "Preliminary"
if args.simulation:
lumi_text += "Simulation"
ROOT.CMSlumi(canvas, 0, 11, "%s (13 TeV)" % scale_label, lumi_text)
#"Preliminary Simulation" if args.simulation else "Preliminary")
text_box = ROOT.TPaveText(0.65, 0.75 - 0.1 * len(systematics), 0.9,
0.85, "NDCnb")
text_box.SetFillColor(0)
text_box.SetTextFont(42)
text_box.AddText("Systematic variation")
for s in systematics:
text_box.AddText(s)
text_box.AddText("; ".join(file_names))
for line, h in zip(text_box.GetListOfLines()[1:],
hist_stack.GetHists()[1::3]):
line.SetTextColor(h.GetLineColor())
text_box.Draw()
if args.logy:
canvas.SetLogy()
if not args.no_ratio:
canvas = plotter.splitCanvas(canvas, canvas_dimensions,
"syst./cent.",
[float(i) for i in args.ratio_range])
ratioPad = canvas.FindObject("ratioPad")
hist = ratioPad.GetListOfPrimitives().FindObject(
"canvas_central_ratioHist")
hist.GetXaxis().SetLabelSize(0.175)
hist.GetXaxis().SetLabelOffset(0.03)
hist.GetXaxis().SetTitleOffset(1.15)
canvas.Update()
helper.savePlot(canvas, plot_path, html_path, plot_name, True, args)
makeSimpleHtml.writeHTML(html_path.replace("/plots", ""),
args.selection)
def main():
#pdb.set_trace()
args = getComLineArgs()
with open('varsFile.json') as var_json_file:
myvar_dict = json.load(var_json_file)
for key in myvar_dict.keys():
if args.branches==str(key):
args.rebin = myvar_dict[key]['_binning']
ROOT.gROOT.SetBatch(True)
ROOT.gStyle.SetOptDate(0)
if args.hist_file == "":
ROOT.TProof.Open('workers=12')
filelist = UserInput.getListOfFiles(args.files_to_plot, args.selection)
print filelist
path = "/cms/uhussain" if "hep.wisc.edu" in os.environ['HOSTNAME'] else \
"/afs/cern.ch/user/h/hehe/new_ZZ_test_Sep9/CMSSW_10_3_1/src/Data_manager"
config_factory = ConfigHistFactory(
"%s/ZZ4lRun2DatasetManager" % path,
args.selection.split("_")[0],
args.object_restrict
)
#print args.selection, args.selection.split("_")[0]
#print args.rebin
branches = config_factory.getListOfPlotObjects() if args.branches == "all" \
else [x.strip() for x in args.branches.split(",")]
print branches
cut_string = args.make_cut
(plot_path, html_path) = helper.getPlotPaths(args.selection, args.folder_name, True)
meta_info = '-'*80 + '\n' + \
'Script called at %s\n' % datetime.datetime.now() + \
'The command was: %s\n' % ' '.join(sys.argv) + \
'-'*80 + '\n'
for branch in branches:
hist_stacks = []
signal_stacks = []
data_hists = []
for branch_name in branch.split("+"):
with open("temp.txt", "w") as mc_file:
mc_file.write(meta_info)
mc_file.write("Selection: %s" % args.selection)
mc_file.write("\nAdditional cut: %s" % ("None" if cut_string == "" else cut_string))
mc_file.write("\nLuminosity: %0.2f fb^{-1}" % (args.luminosity))
mc_file.write("\nPlotting branch: %s\n" % branch_name)
try:
#pdb.set_trace()
hist_stack = getStacked("stack_"+branch_name, config_factory, args.selection, filelist,
branch_name, args.channels, args.blinding, not args.no_overflow, args.latex, cut_string,
args.luminosity, args.rebin, args.uncertainties, args.hist_file)
except ValueError as e:
logging.warning('\033[91m'+ str(e)+'\033[0m')
continue
if not args.no_data:
#pdb.set_trace()
if args.hist_file == "":
#data_hist = helper.getConfigHistFromTree(config_factory, "data_all", args.selection,
data_hist = helper.getConfigHistFromTree(config_factory, "data_all", args.selection,
branch_name, args.channels, args.blinding, 1, not args.no_overflow, args.rebin,
cut_string)
else:
#data_hist = helper.getConfigHistFromFile(args.hist_file, config_factory, "data_all",
data_hist = helper.getConfigHistFromFile(args.hist_file, config_factory, "data_all",
args.selection, branch_name, args.channels,addOverflow=(not args.no_overflow), rebin=args.rebin)
with open("temp.txt", "a") as events_log_file:
events_log_file.write("\nNumber of events in data: %i\n" % data_hist.Integral())
else:
data_hist = 0
signal_stack = 0
if len(args.signal_files) > 0:
signal_filelist = UserInput.getListOfFiles(args.signal_files, args.selection)
signal_stack = getStacked("signal_stack_"+branch_name, config_factory, args.selection, signal_filelist,
branch_name, args.channels, args.blinding, not args.no_overflow, args.latex, cut_string,
args.luminosity, args.rebin, args.uncertainties, args.hist_file)
hist_stacks.append(hist_stack)
signal_stacks.append(signal_stack)
data_hists.append(data_hist)
if not hist_stacks:
continue
name = branch.replace("+","_")
plot_name = name if args.append_to_name == "" else "_".join([name, args.append_to_name])
#embed()
canvas = helper.makePlots(hist_stacks, data_hists, name, args, signal_stacks)
helper.savePlot(canvas, plot_path, html_path, plot_name, True, args)
makeSimpleHtml.writeHTML(html_path.replace("/plots",""), args.selection)
def main():
args = getComLineArgs()
ROOT.gROOT.SetBatch(True)
branches = [x.strip() for x in args.branches.split(",")]
(plot_path, html_path) = helper.getPlotPaths(args.selection,
args.folder_name, True)
meta_info = '-'*80 + '\n' + \
'Script called at %s\n' % datetime.datetime.now() + \
'The command was: %s\n' % ' '.join(sys.argv) + \
'-'*80 + '\n'
rtfile = ROOT.TFile(args.hist_file)
colors = [
ROOT.TColor.GetColor(x) for x in [
"#a6cee3",
"#1f78b4",
"#b2df8a",
"#33a02c",
"#fb9a99",
"#fdbf6f",
"#e31a1c",
"#ff7f00",
"#cab2d6",
"#6a3d9a",
"#ffff99",
"#b15928",
]
]
for branch in args.branches.split(","):
with open("temp.txt", "w") as mc_file:
mc_file.write(meta_info)
mc_file.write("Selection: %s" % args.selection)
mc_file.write("\nPlotting branch: %s\n" % branch)
systematics = args.systematics.split(",")
systs = "_".join(systematics)
plot_name = "_".join([branch, systs]) + args.append_to_name
hist_stack = ROOT.THStack("stack_" + branch, "stack_" + branch)
file_names = args.files_to_plot.split(",")
if plot_name.count(file_names[0]) > 1:
names = plot_name.split("_" + file_names[0])
plot_name = "".join([names[0], "_" + file_names[0]] + names[1:])
for i, file_name in enumerate(file_names):
systematic = systematics[i]
central_hist = 0
for chan in args.channels.split(","):
hist_name = file_name.replace(
"_standalone", "") + "/" + "_".join([branch, chan])
uphist_name = hist_name.replace(
"_" + chan, "_" + "_".join([systematic + "Up", chan]))
downhist_name = hist_name.replace(
"_" + chan, "_" + "_".join([systematic + "Down", chan]))
if not central_hist:
central_hist = rtfile.Get(hist_name)
central_hist.SetName(hist_name + "_%i" % i)
if not central_hist:
raise ValueError("Failed to find hist %s in file %s" %
(hist_name, file_name))
up_hist = rtfile.Get(uphist_name)
up_hist.SetName(uphist_name + "_%i" % i)
down_hist = rtfile.Get(downhist_name)
down_hist.SetLineColor(ROOT.kYellow)
down_hist.SetName(downhist_name + "_%i" % i)
if not up_hist or not down_hist:
raise ValueError(
"Failed to find hist %s for variation %s in file %s"
% (uphist_name, systematic, file_name))
central_hist = rebinHist(central_hist, args.rebin)
up_hist = rebinHist(up_hist, args.rebin)
down_hist = rebinHist(down_hist, args.rebin)
central_hist.Draw()
else:
central_hist_chan = rtfile.Get(hist_name)
central_hist_chan.SetName(hist_name + "_%i" % i)
central_hist_chan = rebinHist(central_hist_chan,
args.rebin)
central_hist.Add(central_hist_chan)
up_hist_chan = rtfile.Get(uphist_name)
down_hist_chan = rtfile.Get(downhist_name)
up_hist_chan = rebinHist(up_hist_chan, args.rebin)
down_hist_chan = rebinHist(down_hist_chan, args.rebin)
up_hist.Add(up_hist_chan)
down_hist.Add(down_hist_chan)
path = "/cms/kdlong" if "hep.wisc.edu" in os.environ['HOSTNAME'] else \
"/afs/cern.ch/work/m/mumuhamm/WBoson/CMSSW_11_0_0/src/Data_Manager"
config_factory = ConfigHistFactory(
"%s/AnalysisDatasetManager" % path,
args.selection.split("_")[0],
)
scale_fac = 1
scale = True
# Normalize to data in CR
if file_name in ["wz", "wz_standalone"]:
scale_fac = 0.8224
elif file_name in ["wz-powheg", "wz-powheg_standalone"]:
scale_fac = (191 - (28.78 + 3.84 + 18.35 + 22.27)) / 139.43
if scale:
central_hist.Scale(scale_fac)
up_hist.Scale(scale_fac)
down_hist.Scale(scale_fac)
with open("temp.txt", "a") as mc_file:
mc_file.write("\nYield for %s is %0.2f" %
(file_name, central_hist.Integral()))
mc_file.write("\nYield up for var %s for %s is %0.2f" %
(file_name, systematic, up_hist.Integral()))
mc_file.write("\nYield down for var %s for %s is %0.2f" %
(file_name, systematic, down_hist.Integral()))
branch_name = branch.replace("_Fakes", "")
config_factory.setHistAttributes(central_hist, branch_name,
file_name)
config_factory.setHistAttributes(up_hist, branch_name, file_name)
config_factory.setHistAttributes(down_hist, branch_name, file_name)
central_hist.SetMinimum(0.001)
central_hist.SetFillColor(0)
up_hist.SetFillColor(0)
down_hist.SetFillColor(0)
central_hist.SetLineStyle(1)
central_hist.SetLineWidth(2)
up_hist.SetLineWidth(2)
down_hist.SetLineWidth(2)
up_hist.SetLineStyle(5)
down_hist.SetLineStyle(5)
if i != 0:
up_hist.SetLineColor(colors[i])
down_hist.SetLineColor(colors[i])
hist_stack.Add(central_hist)
hist_stack.Add(up_hist)
hist_stack.Add(down_hist)
canvas_dimensions = [800, 800
] if "unrolled" not in branch else [1200, 800]
canvas = ROOT.TCanvas("canvas", "canvas", *canvas_dimensions)
hist_stack.Draw("nostack hist")
hist_stack.SetMinimum(central_hist.GetMinimum() * args.scaleymin)
hist_stack.SetMaximum(central_hist.GetMaximum() * args.scaleymax)
hist_stack.GetHistogram().GetYaxis().SetTitle("Events / bin")
hist_stack.GetHistogram().GetYaxis().SetTitleOffset(1.05)
text_box = ROOT.TPaveText(
0.65, 0.75 - (0.1 * len(systematics)) * args.scalelegy, 0.9, 0.85,
"NDCnb")
text_box.SetFillColor(0)
text_box.SetTextFont(42)
text_box.AddText("Systematic variation")
for s in systematics:
text_box.AddText(s)
text_box.AddText("; ".join(set(file_names)))
for line, h in zip(text_box.GetListOfLines()[1:],
hist_stack.GetHists()[1::3]):
line.SetTextColor(h.GetLineColor())
text_box.Draw()
if args.logy:
canvas.SetLogy()
if not args.no_ratio:
canvas = plotter.splitCanvas(canvas, canvas_dimensions,
"syst./cent.",
[float(i) for i in args.ratio_range],
args.uncertainties == "none")
ratioPad = canvas.FindObject("ratioPad")
hist = ratioPad.GetListOfPrimitives().FindObject(
"canvas_central_ratioHist")
hist.GetXaxis().SetLabelSize(0.175)
hist.GetXaxis().SetLabelOffset(0.03)
hist.GetXaxis().SetTitleOffset(1.15)
canvas.Update()
helper.savePlot(canvas, plot_path, html_path, plot_name, True, args)
makeSimpleHtml.writeHTML(html_path.replace("/plots", ""),
args.selection)