plot.Set(gr, LineColor=0, FillColor=ROOT.kWhite, FillStyle=1001)
if args.hist is not None:
plot.Set(gr, LineColor=ROOT.kGray + 0, LineWidth=2)
gr.Draw(fillstyle)
if 'exp0' in contours:
for i, gr in enumerate(contours['exp0']):
if args.hist is not None:
plot.Set(gr, LineWidth=2)
if 'obs' in contours:
plot.Set(gr, LineColor=ROOT.kBlack, LineStyle=2)
gr.Draw('LSAME')
else:
plot.Set(gr,
LineStyle=2,
FillStyle=1001,
FillColor=plot.CreateTransparentColor(
ROOT.kSpring + 6, 0.5))
gr.Draw(fillstyle)
gr.Draw('LSAME')
if 'obs' in contours:
for i, gr in enumerate(contours['obs']):
plot.Set(gr,
FillStyle=1001,
FillColor=plot.CreateTransparentColor(ROOT.kAzure + 6, 0.5))
if args.hist is not None:
plot.Set(gr, LineWidth=2)
gr.Draw(fillstyle)
gr.Draw('LSAME')
# We just want the top pad to look like a box, so set all the text and tick
# sizes to zero
pads[0].cd()
plot.Set(h_impacts.GetXaxis(), LabelSize=0.03, TitleSize=0.04, Ndivisions=505, Title=
# '#Delta#hat{%s}' % (Translate(POIs[selectedPOI], translate)))
'#Delta#hat{%s}' % (Translate("m_{ t}", translate)))
plot.Set(h_impacts.GetYaxis(), LabelSize=0, TickLength=0.0)
h_impacts.Draw()
# Back to the first pad to draw the pulls graph
pads[0].cd()
plot.Set(g_pulls, MarkerSize=0.8, LineWidth=2)
#plot.Set(g_pulls, MarkerSize=1.5, LineWidth=1)
g_pulls.Draw('PSAME')
# And back to the second pad to draw the impacts graphs
pads[1].cd()
alpha = 0.7 if args.transparent else 1.0
g_impacts_hi.SetFillColor(plot.CreateTransparentColor(46, alpha))
g_impacts_hi.Draw('2SAME')
g_impacts_lo.SetFillColor(plot.CreateTransparentColor(38, alpha))
g_impacts_lo.Draw('2SAME')
g_impacts_hi_overdrawn.SetFillColor(plot.CreateTransparentColor(46, alpha))
g_impacts_hi_overdrawn.Draw("2SAME")
pads[1].RedrawAxis()
legend = ROOT.TLegend(0.02, 0.02, 0.40, 0.06, '', 'NBNDC')
legend.SetNColumns(3)
legend.AddEntry(g_pulls, 'Pull', 'LP')
legend.AddEntry(g_impacts_hi, '+1#sigma Impact', 'F')
legend.AddEntry(g_impacts_lo, '-1#sigma Impact', 'F')
legend.Draw()
if args.color_groups is not None:
def MakeMultiHistPlot(name, outdir, hists, cfg, layout, ratios=None):
js_workaround = False
copyhists = {}
for hname, h in hists.iteritems():
if len(cfg['rebinvar']):
copyhists[hname] = VariableRebin(h, cfg['rebinvar'])
else:
copyhists[hname] = h.Clone()
if cfg['norm_to'] > 0.:
copyhists[hname].Scale(cfg['norm_to'] /
copyhists[hname].Integral())
if cfg['divwidth']:
copyhists[hname].Scale(1., 'width')
hists = copyhists
# Canvas and pads
if cfg['pads'] is not None:
pads = cfg['pads']
elif cfg['ratio'] or cfg['fraction']:
canv = ROOT.TCanvas(name, name)
if cfg['purity']:
pads = plot.MultiRatioSplit([0.27, 0.13], [0.005, 0.005],
[0.005, 0.005])
else:
# if js_workaround:
# upper = ROOT.TPad('upper', 'upper', 0., cfg['ratio_pad_frac'], 1., 1.)
# upper.SetBottomMargin(0.01)
# # upper.SetFillStyle(4000)
# upper.Draw()
# lower = ROOT.TPad('lower', 'lower', 0., 0., 1., cfg['ratio_pad_frac'])
# lower.SetTopMargin(0.01)
# # lower.SetFillStyle(4000)
# lower.Draw()
# upper.cd()
# pads = [upper, lower]
# else:
# pads = plot.TwoPadSplit(cfg['ratio_pad_frac'], 0.01, 0.01)
pads = plot.TwoPadSplit(cfg['ratio_pad_frac'], 0.01, 0.01)
else:
canv = ROOT.TCanvas(name, name)
pads = plot.OnePad()
# Allow the user to skip specifying a list of entries for a given plot element.
# If it's not been specified then we will add it manually
for info in layout:
if 'entries' not in info:
info['entries'] = [info['name']]
for opt in cfg['global_hist_opts']:
if opt not in info:
info[opt] = cfg['global_hist_opts'][opt]
h_data = None
if cfg['type'] == 'datamc':
# Get the data and create axis hist
h_data = hists[cfg['data_name']]
else:
h_data = hists[layout[0]['entries'][0]]
if isinstance(h_data, ROOT.TH2):
print 'TH2: aborting!'
return
h_axes = [h_data.Clone() for x in pads]
for h in h_axes:
h.SetTitle("")
if len(cfg['x_range']):
h.GetXaxis().SetRangeUser(*cfg['x_range'])
h.Reset()
build_h_tot = True
h_tot = None
if 'TotalProcs' in hists:
h_tot = hists['TotalProcs']
build_h_tot = False
if cfg['type'] != 'datamc':
build_h_tot = False
if isinstance(cfg['x_title'], list) or isinstance(cfg['x_title'], tuple):
x_title = cfg['x_title'][0]
units = cfg['x_title'][1]
else:
x_title = cfg['x_title']
units = ''
if x_title == '' and h_data.GetXaxis().GetTitle() != '':
x_title = h_data.GetXaxis().GetTitle()
if ':' in x_title:
units = x_title.split(':')[1]
x_title = x_title.split(':')[0]
if cfg['logy']:
pads[0].SetLogy()
h_axes[0].SetMinimum(cfg['logy_min'])
rpad_idx = len(pads) - 1
if cfg['ratio'] or cfg['fraction']:
plot.StandardAxes(h_axes[rpad_idx].GetXaxis(), h_axes[0].GetYaxis(),
x_title, units)
else:
plot.StandardAxes(h_axes[0].GetXaxis(), h_axes[0].GetYaxis(), x_title,
units)
h_axes[0].Draw()
# A dict to keep track of the hists
h_store = {}
p_store = {}
legend = ROOT.TLegend(*(cfg['legend_pos'] + ['', 'NBNDC']))
stack = ROOT.THStack()
purity_stack = ROOT.THStack()
curr_auto_colour = 0
for info in layout:
hist = hists[info['entries'][0]]
if 'color' in info:
col = info['color']
else:
col = AUTO_COLOURS[curr_auto_colour]
if curr_auto_colour == (len(AUTO_COLOURS) - 1):
curr_auto_colour = 0
else:
curr_auto_colour += 1
# col = info['color']
if isinstance(col, list):
col = ROOT.TColor.GetColor(*col)
# print info['line_width']
if cfg['type'] == 'multihist':
plot.Set(hist,
FillColor=col,
MarkerColor=col,
LineColor=col,
Title=info['legend'],
MarkerSize=info['marker_size'],
LineWidth=info['line_width'])
else:
plot.Set(hist,
FillColor=col,
MarkerColor=col,
Title=info['legend'],
MarkerSize=info['marker_size'],
LineWidth=info['line_width'])
if len(info['entries']) > 1:
for other in info['entries'][1:]:
hist.Add(hists[other])
h_store[info['name']] = hist
p_store[info['name']] = hist.Clone()
if build_h_tot:
if h_tot is None:
h_tot = hist.Clone()
else:
h_tot.Add(hist)
if cfg['type'] == 'datamc':
stack.Add(hist)
else:
hist.Draw('SAME%s' % info['draw_opts'])
# h_tot_purity = h_tot.Clone()
for info in layout:
p_store[info['name']].Divide(h_tot)
purity_stack.Add(p_store[info['name']])
if cfg['type'] == 'datamc':
h_tot.SetFillColor(plot.CreateTransparentColor(12, 0.3))
h_tot.SetMarkerSize(0)
legend.AddEntry(h_data, 'Observed', 'PL')
# Build overlays
for info in cfg['overlays']:
hist = None
input_list = []
if isinstance(info['entries'], str):
input_list = list(all_input_hists)
else:
input_list = list(info['entries'])
updated_list = []
for xh in input_list:
if xh + info['hist_postfix'] in hists:
updated_list.append(xh + info['hist_postfix'])
else:
updated_list.append(xh)
print updated_list
hist = HistSum(hists, updated_list)
col = info['color']
if isinstance(col, list):
col = ROOT.TColor.GetColor(*col)
plot.Set(hist,
LineColor=col,
LineWidth=1,
MarkerSize=0,
Title=info['legend'])
for ib in xrange(1, hist.GetNbinsX() + 1):
hist.SetBinError(ib, 1E-7)
h_store[info['name']] = hist
if cfg['type'] == 'datamc':
for ele in reversed(layout):
legend.AddEntry(h_store[ele['name']], ele['legend'],
ele['legend_opts'])
else:
for ele in layout:
leg_extra = ''
if cfg['legend_show_yields']:
leg_extra = ' (%.1f)' % h_store[ele['name']].Integral(
'width' if cfg['divwidth'] else '')
legend.AddEntry(h_store[ele['name']], ele['legend'] + leg_extra,
ele['legend_opts'])
if cfg['type'] == 'datamc':
bkg_uncert_label = 'Stat. Uncertainty'
if not build_h_tot:
bkg_uncert_label = 'Uncertainty'
legend.AddEntry(h_tot, bkg_uncert_label, 'F')
stack.Draw('HISTSAME')
h_tot.Draw("E2SAME")
for info in cfg['overlays']:
h_store[info['name']].Draw('HISTSAME')
if not cfg['hide_data']:
h_data.Draw('E0SAME')
for info in cfg['overlays']:
legend.AddEntry(h_store[info['name']], info['legend'], 'L')
plot.FixTopRange(pads[0], plot.GetPadYMax(pads[0]), 0.35)
legend.Draw()
# if cfg['legend_padding'] > 0.:
# plot.FixBoxPadding(pads[0], legend, cfg['legend_padding'])
# Do the ratio plot
r_store = {}
r_data = None
r_tot = None
if cfg['ratio'] or cfg['fraction']:
pads[rpad_idx].cd()
pads[rpad_idx].SetGrid(0, 1)
h_axes[rpad_idx].Draw()
if cfg['type'] == 'datamc' and cfg['ratio']:
r_data = plot.MakeRatioHist(h_data, h_tot, True, False)
r_tot = plot.MakeRatioHist(h_tot, h_tot, True, False)
r_tot.Draw('E2SAME')
for info in cfg['overlays']:
r_store[info['name']] = plot.MakeRatioHist(
h_store[info['name']], h_tot, False, False)
r_store[info['name']].Draw('SAME')
if not cfg['hide_data']:
r_data.Draw('SAME')
if cfg['type'] == 'datamc' and cfg['fraction']:
r_frac = plot.MakeRatioHist(h_tot, h_data, True, True)
r_frac.Draw('SAME')
plot.SetupTwoPadSplitAsRatio(pads, plot.GetAxisHist(pads[0]),
plot.GetAxisHist(pads[rpad_idx]),
'Exp/Obs', True, 0.0, 0.5)
if ratios is not None:
for info in ratios:
if 'type' in info and info['type'] == 'binomial':
rhist = h_store[info['num']].Clone()
rhist.Divide(h_store[info['num']], h_store[info['den']],
1., 1., "B")
elif 'type' in info and info['type'] == 'noerror':
rhist = plot.MakeRatioHist(h_store[info['num']],
h_store[info['den']], True,
False)
else:
rhist = plot.MakeRatioHist(h_store[info['num']],
h_store[info['den']], True,
True)
r_store['%s_%s' % (info['num'], info['den'])] = rhist
rhist.Draw('SAMEE0')
plot.SetupTwoPadSplitAsRatio(pads, plot.GetAxisHist(pads[0]),
plot.GetAxisHist(pads[rpad_idx]),
cfg['ratio_y_title'], True,
*(cfg['ratio_y_range']))
if js_workaround:
# This makes the ticks way too large
plot.GetAxisHist(pads[rpad_idx]).GetYaxis().SetTickLength(
ROOT.gStyle.GetTickLength())
if cfg['purity']:
pads[1].cd()
h_axes[1].Draw()
plot.SetupTwoPadSplitAsRatio(pads, plot.GetAxisHist(pads[0]),
plot.GetAxisHist(pads[1]), 'f', True, 0,
1)
plot.Set(h_axes[1].GetXaxis(), TitleSize=0, LabelSize=0)
plot.Set(h_axes[1].GetYaxis(), Ndivisions=(502, False))
purity_stack.Draw('HISTSAME')
# purity_stack.Print()
h_axes[1].SetMinimum(0)
h_axes[1].SetMaximum(1)
pads[1].RedrawAxis()
# Go back and tidy up the axes and frame
pads[0].cd()
if not js_workaround:
pads[0].GetFrame().Draw()
pads[0].RedrawAxis()
# CMS logo
plot.DrawCMSLogo(pads[0], cfg['main_logo'], cfg['sub_logo'], 11, 0.045,
0.05, 1.0, '', 1.0)
plot.DrawTitle(pads[0], cfg['top_title_left'], 1)
if cfg['auto_top_title_right']:
title_right = h_data.GetTitle()
if title_right.startswith('lumi:'):
plot.DrawTitle(pads[0], title_right.replace('lumi:', ''), 3)
latex = ROOT.TLatex()
plot.Set(latex, NDC=None, TextFont=42, TextSize=0.03)
# latex.DrawLatex(0.20, 0.75, args.title)
# plot.DrawTitle(pads[0], args.title, 1)
# ... and we're done
if cfg['pads'] is None:
canv.Print(outdir + '/' + cfg['prefix'] + name + cfg['postfix'] +
'.png')
canv.Print(outdir + '/' + cfg['prefix'] + name + cfg['postfix'] +
'.pdf')
# canv.Print(outdir + '/' + cfg['prefix'] + name + cfg['postfix'] + '.root')
# canv.Print(outdir + '/' + cfg['prefix'] + name + cfg['postfix'] + '.svg')
# canv.Print(outdir + '/' + cfg['prefix'] + name + cfg['postfix'] + '.json')
outobjs = {}
outobjs['axes'] = h_axes
outobjs['hists'] = hists
outobjs['stack'] = stack
outobjs['purity_stack'] = purity_stack
outobjs['h_tot'] = h_tot
outobjs['legend'] = legend
outobjs['r_store'] = r_store
outobjs['p_store'] = p_store
outobjs['r_data'] = r_data
outobjs['r_tot'] = r_tot
return outobjs
data_Z_pt.SetMarkerColor(ROOT.kBlack)
LOMC_Z_mass = ROOT.TH1F("LOMC_Z_mass", "LOMC_Z_mass", 60, 60, 120)
LOMC_Z_mass.SetMarkerSize(0)
LOMC_Z_mass.Sumw2()
#intree_DYMC.Draw("pt_1>>LOMC_Z_mass","(trg_1||trg_2)*(wt_pu)")
#intree_DYMC.Draw("m_ll>>LOMC_Z_mass","((trg_1||trg_2)&&dr_ll>0.5)*(wt_pu)")
intree_DYMC.Draw(
"m_ll>>LOMC_Z_mass",
"((trg_1||trg_2)&&dr_ll>0.5)*(wt_pu*wt_1*wt_2*wt_trg*gen_wt)")
LOMC_Z_mass.Scale(6225.42 * 41519.180032466 / LOMC_counter.GetBinContent(2))
LOMC_Z_mass.SetFillStyle(1001)
LOMC_Z_mass.SetFillColor(ROOT.TColor.GetColor(100, 192, 232))
LOMC_Z_mass.SetLineColor(ROOT.kBlack)
LOMC_Z_mass_unc = LOMC_Z_mass.Clone("LOMC_Z_mass_unc")
LOMC_Z_mass_unc.SetFillColor(plot.CreateTransparentColor(12, 0.4))
LOMC_Z_mass_unc.SetLineColor(0)
LOMC_Z_mass_unc.SetMarkerSize(0)
LOMC_Z_pt = ROOT.TH1F("LOMC_Z_pt", "LOMC_Z_pt", 60, 0, 120)
LOMC_Z_pt.SetMarkerSize(0)
LOMC_Z_pt.Sumw2()
#intree_DYMC.Draw("pt_2>>LOMC_Z_pt","(trg_1||trg_2)*(wt_pu)")
#intree_DYMC.Draw("pt_ll>>LOMC_Z_pt","((trg_1||trg_2)&&dr_ll>0.5)*(wt_pu)")
intree_DYMC.Draw(
"pt_ll>>LOMC_Z_pt",
"((trg_1||trg_2)&&dr_ll>0.5)*(wt_pu*wt_1*wt_2*wt_trg*gen_wt)")
LOMC_Z_pt.Scale(6225.42 * 41519.180032466 / LOMC_counter.GetBinContent(2))
LOMC_Z_pt.SetFillStyle(1001)
LOMC_Z_pt.SetFillColor(ROOT.TColor.GetColor(100, 192, 232))
LOMC_Z_pt.SetLineColor(ROOT.kBlack)
for ele in layout:
info = ele[1]
hist = Getter(file, '%s/%s' % (target, info['entries'][0]), True)
plot.Set(hist, FillColor=info['color'], Title=info['legend'])
if len(info['entries']) > 1:
for other in info['entries'][1:]:
hist.Add(Getter(file, '%s/%s' % (target, other), True))
h_store[ele[0]] = hist
if build_h_tot:
if h_tot is None:
h_tot = hist.Clone()
else:
h_tot.Add(hist)
stack.Add(hist)
h_tot.SetFillColor(plot.CreateTransparentColor(12, 0.3))
h_tot.SetMarkerSize(0)
legend.AddEntry(h_data, 'Observed', 'PL')
for ele in reversed(layout):
legend.AddEntry(h_store[ele[0]], '', 'F')
bkg_uncert_label = 'Stat. Uncertainty'
if not build_h_tot:
bkg_uncert_label = 'Uncertainty'
legend.AddEntry(h_tot, bkg_uncert_label, 'F')
stack.Draw('HISTSAME')
h_tot.Draw("E2SAME")
h_data.Draw('E0SAME')
if args.logy:
def main(args):
fitvars = 'm_sv_vs_pt_tt'
fitvars = 'm_sv'
if len(args.file_dir.split("_")) >= 4: era = args.file_dir.split("_")[3]
else: era = 'all'
if era == "2016":
lumi = "36.3 fb^{-1} (13 TeV)"
elif era == "2017":
lumi = "41.5 fb^{-1} (13 TeV)"
elif era == "2018":
lumi = "59.7 fb^{-1} (13 TeV)"
elif era == "all":
lumi = "138 fb^{-1} (13 TeV)"
plot.ModTDRStyle(width=1800, height=700, r=0.4, l=0.16, t=0.12, b=0.15)
ROOT.TGaxis.SetExponentOffset(-0.06, 0.01, "y")
# Channel & Category label
if args.channel == '':
args.channel = args.file_dir.split("_")[1]
if args.channel == "tt":
channel_label = "#tau_{h}#tau_{h}"
if args.channel == "lt":
channel_label = "#mu_{}#tau_{h}+e_{}#tau_{h}"
if args.channel == "mt":
channel_label = "#mu_{}#tau_{h}"
if args.channel == "et":
channel_label = "e_{}#tau_{h}"
if args.channel == "em":
channel_label = "e_{}#mu_{}"
bin_number = args.file_dir.split("_")[2]
#if args.ratio_range=="":
# args.ratio_range = "0.7,1.3"
if bin_number in ["2", "35", "36", "37"]:
if args.channel == 'tt': bin_label = "b tag"
if args.channel in ['mt', 'et', 'lt']:
bin_label = "b tag"
if bin_number == "35": bin_label = "b tag, Tight-m_{T}"
if bin_number == "36": bin_label = "b tag, Loose-m_{T}"
if args.channel in ['em']:
bin_label = "b tag"
if bin_number == "2": bin_label = "t#bar{t} CR"
if bin_number == "35": bin_label = "b tag, High D_{#zeta}"
if bin_number == "36": bin_label = "b tag, Medium D_{#zeta}"
if bin_number == "37": bin_label = "b tag, Low D_{#zeta}"
plot.ModTDRStyle(r=0.04, l=0.18)
if args.ratio_range == "":
args.ratio_range = "0.85,1.15"
bin_label = "b tag" # no sub labels when combing all sub-categories
if bin_number in ["32", "33", "34"]:
if args.ratio_range == "":
args.ratio_range = "0.4,1.6"
if args.channel == 'tt': bin_label = "No b tag"
if args.channel in ['mt', 'et', 'lt']:
bin_label = "No b tag"
if bin_number == "32": bin_label = "No b tag, Tight-m_{T}"
if bin_number == "33": bin_label = "No b tag, Loose-m_{T}"
if args.channel in ['em']:
bin_label = "No b tag"
if bin_number == "32": bin_label = "No b tag, High D_{#zeta}"
if bin_number == "33": bin_label = "No b tag, Medium D_{#zeta}"
if bin_number == "34": bin_label = "No b tag, Low D_{#zeta}"
bin_label = "b tag" # no sub labels when combing all sub-categories
if bin_number in [
"132", "232", "332", "432", "133", "233", "333", "433", "33", "34"
]:
if args.ratio_range == "":
args.ratio_range = "0.7,1.3"
if args.channel == 'tt': bin_label = "No b tag"
if args.channel in ['mt', 'et', 'lt']:
bin_label = "No b tag"
if bin_number[1:] == "32": bin_label = "No b tag, Tight-m_{T}"
if bin_number[1:] == "33": bin_label = "No b tag, Loose-m_{T}"
if args.channel in ['em']:
bin_label = "No b tag"
if bin_number[1:] == "32": bin_label = "No b tag, High D_{#zeta}"
if bin_number[1:] == "33": bin_label = "No b tag, Medium D_{#zeta}"
if bin_number[1:] == "34": bin_label = "No b tag, Low D_{#zeta}"
bin_label = "No b tag" # no sub labels when combing all sub-categories
if bin_number[0] == '1': bin_label += ', p_{T}^{#tau#tau}<50 GeV'
if bin_number[0] == '2': bin_label += ', 50< p_{T}^{#tau#tau}<100 GeV'
if bin_number[0] == '3': bin_label += ', 100< p_{T}^{#tau#tau}<200 GeV'
if bin_number[0] == '4': bin_label += ', p_{T}^{#tau#tau}> 200 GeV'
plot.ModTDRStyle(r=0.04, l=0.18)
## Add bin labels
bin_labels = {}
with open("scripts/bin_labels.json") as jsonfile:
full_bin_labels = json.load(jsonfile)
if bin_number in ["32", "33", "34"]:
bin_labels = full_bin_labels[fitvars]['nobtag']
else:
bin_labels = full_bin_labels[fitvars]['btag']
is2D = False
print fitvars, bin_number
if fitvars == 'm_sv' or bin_number in [
"2", "35", "36", "37", "132", "232", "332", "432", "133", "233",
"333", "433"
]:
x_title = "m_{#tau#tau} (GeV)"
#x_bins = re.split("\[|\]",bin_labels)[1].split(",")
#Nxbins = len(x_bins) - 1
else:
is2D = True
x_title = "Bin number"
x_bins = re.split("\[|\]", bin_labels)[3].split(",")
Nxbins = len(x_bins) - 1
if is2D:
y_bin_var = re.split(",|\[|\]", bin_labels)[0]
y_bin_labels = re.split("\[|\]", bin_labels)[1].split(",")
else:
y_bin_var = ""
y_bin_labels = ""
is2D = False # we now split 2D histograms into 1D
file_dir = args.file_dir
mode = args.mode
manual_blind = args.manual_blind
x_blind_min = args.x_blind_min
x_blind_max = args.x_blind_max
cms_label = args.cms_label
empty_bin_error = args.empty_bin_error
extra_pad = float(args.extra_pad)
custom_x_range = args.custom_x_range
custom_y_range = args.custom_y_range
x_axis_min = float(args.x_axis_min)
x_axis_max = float(args.x_axis_max)
y_axis_min = float(args.y_axis_min)
y_axis_max = float(args.y_axis_max)
log_y = args.log_y
log_x = args.log_x
if (args.outname != ''):
outname = args.outname + '_'
else:
outname = ''
if args.file_dir == "htt_tt_232": extra_pad = 0.45
if args.file_dir == "htt_tt_35": extra_pad = 0.57
if args.file_dir == "htt_tt_132": extra_pad = 0.65
if args.file_dir == "htt_tt_232": extra_pad = 0.62
if args.file_dir == "htt_em_35": extra_pad = 0.7
if args.file_dir == "htt_lt_35": extra_pad = 0.45
if args.file_dir == "htt_lt_232": extra_pad = 0.45
if args.file_dir == "htt_em_232": extra_pad = 0.45
if '_35' in args.file_dir or '_132' in args.file_dir or '_232' in args.file_dir or args.bOnly:
cms_label = 'Supplementary'
if args.file:
print "Providing shape file: ", args.file, ", with specified subdir name: ", file_dir
shape_file = args.file
shape_file_name = args.file
histo_file = ROOT.TFile(shape_file)
#Store plotting information for different backgrounds
background_schemes = {
'mt': [
backgroundComp("Others",
["ZL", "VVL", "qqH125", "bbH125", "ggH125"],
ROOT.TColor.GetColor("#B0C4DE")),
#backgroundComp("H(125 GeV)#rightarrow#tau#tau",["qqH125","bbH125","ggH125"],ROOT.TColor.GetColor(51,51,230)),
#backgroundComp("Diboson",["VVL"],ROOT.TColor.GetColor("#6F2D35")),
backgroundComp("t#bar{t}", ["TTL"],
ROOT.TColor.GetColor("#9999cc")),
#backgroundComp("Z#rightarrowll",["ZL"],ROOT.TColor.GetColor("#4496c8")),
backgroundComp("Jet#rightarrow#tau_{h}", ["jetFakes"],
ROOT.TColor.GetColor(192, 232, 100)),
backgroundComp("#tau#tau Bkg.", ["EMB"],
ROOT.TColor.GetColor("#ffcc66")),
],
'et': [
backgroundComp("Others",
["ZL", "VVL", "qqH125", "bbH125", "ggH125"],
ROOT.TColor.GetColor("#B0C4DE")),
#backgroundComp("H(125 GeV)#rightarrow#tau#tau",["qqH125","bbH125","ggH125"],ROOT.TColor.GetColor(51,51,230)),
#backgroundComp("Diboson",["VVL"],ROOT.TColor.GetColor("#6F2D35")),
backgroundComp("t#bar{t}", ["TTL"],
ROOT.TColor.GetColor("#9999cc")),
#backgroundComp("Z#rightarrowll",["ZL"],ROOT.TColor.GetColor("#4496c8")),
backgroundComp("Jet#rightarrow#tau_{h}", ["jetFakes"],
ROOT.TColor.GetColor(192, 232, 100)),
backgroundComp("#tau#tau Bkg.", ["EMB"],
ROOT.TColor.GetColor("#ffcc66")),
],
'lt': [
backgroundComp("Others",
["ZL", "VVL", "qqH125", "bbH125", "ggH125"],
ROOT.TColor.GetColor("#B0C4DE")),
#backgroundComp("H(125 GeV)#rightarrow#tau#tau",["qqH125","bbH125","ggH125"],ROOT.TColor.GetColor(51,51,230)),
#backgroundComp("Diboson",["VVL"],ROOT.TColor.GetColor("#6F2D35")),
backgroundComp("t#bar{t}", ["TTL"],
ROOT.TColor.GetColor("#9999cc")),
#backgroundComp("Z#rightarrowll",["ZL"],ROOT.TColor.GetColor("#4496c8")),
backgroundComp("Jet#rightarrow#tau_{h}", ["jetFakes"],
ROOT.TColor.GetColor(192, 232, 100)),
backgroundComp("#tau#tau Bkg.", ["EMB"],
ROOT.TColor.GetColor("#ffcc66")),
],
'tt': [
backgroundComp("Others",
["ZL", "VVL", "qqH125", "bbH125", "ggH125"],
ROOT.TColor.GetColor("#B0C4DE")),
#backgroundComp("H(125 GeV)#rightarrow#tau#tau",["qqH125","bbH125","ggH125"],ROOT.TColor.GetColor(51,51,230)),
#backgroundComp("Diboson",["VVL"],ROOT.TColor.GetColor("#6F2D35")),
backgroundComp("t#bar{t}", ["TTL"],
ROOT.TColor.GetColor("#9999cc")),
#backgroundComp("Z#rightarrowll",["ZL"],ROOT.TColor.GetColor("#4496c8")),
backgroundComp("Jet#rightarrow#tau_{h}", ["jetFakes", "wFakes"],
ROOT.TColor.GetColor(192, 232, 100)),
backgroundComp("#tau#tau Bkg.", ["EMB"],
ROOT.TColor.GetColor("#ffcc66")),
],
'em': [
backgroundComp("Others", [
"ZL", "qqH125", "bbH125", "ggH125", 'WHWW125', 'ZHWW125',
'ggHWW125', 'qqHWW125', "W", "VVL"
], ROOT.TColor.GetColor("#B0C4DE")),
#backgroundComp("H(125 GeV)",["qqH125","bbH125","ggH125",'WHWW125','ZHWW125','ggHWW125','qqHWW125'],ROOT.TColor.GetColor(51,51,230)),
backgroundComp("QCD", ["QCD"], ROOT.TColor.GetColor("#ffccff")),
#backgroundComp("Electroweak",["W","VVL"],ROOT.TColor.GetColor(222, 90, 106)),
backgroundComp("t#bar{t}", ["TTL"],
ROOT.TColor.GetColor("#9999cc")),
#backgroundComp("Z#rightarrowll",["ZL"],ROOT.TColor.GetColor("#4496c8")),
backgroundComp("#tau#tau Bkg.", ["EMB"],
ROOT.TColor.GetColor("#ffcc66")),
],
}
#Extract relevent histograms from shape file
sighists = []
#signal_names = 'TotalSig'
signal_names = ['ggh_t', 'ggh_i', 'ggh_b']
if args.no_signal: signal_names = []
file_dir_list = []
file_dir_list = [file_dir]
if not args.no_signal:
[sighist,
binname] = getHistogram(histo_file, signal_names, file_dir_list, mode,
args.no_signal, log_x)
sighists.append(sighist)
bkghist = getHistogram(histo_file, 'TotalBkg', file_dir, mode,
logx=log_x)[0]
sbhist = bkghist.Clone()
# can use this one for showing ggX as well as qqX
sbhist_alt = bkghist.Clone()
if not args.use_asimov:
total_datahist = getHistogram(histo_file,
"data_obs",
file_dir,
mode,
logx=log_x)[0]
else:
total_datahist = getHistogram(histo_file,
"TotalProcs",
file_dir,
mode,
logx=log_x)[0].Clone()
for bin_ in range(1, total_datahist.GetNbinsX() + 1):
content = total_datahist.GetBinContent(bin_)
total_datahist.SetBinError(bin_, np.sqrt(content))
blind_datahist = total_datahist.Clone()
total_datahist.SetMarkerStyle(20)
blind_datahist.SetMarkerStyle(20)
blind_datahist.SetLineColor(1)
total_bkg = getHistogram(histo_file,
"TotalBkg",
file_dir,
mode,
logx=log_x)[0].Clone()
azimov_datahist = blind_datahist.Clone()
for i in range(0, azimov_datahist.GetNbinsX() + 1):
azimov_datahist.SetBinContent(i, -0.1)
azimov_datahist.SetBinError(i, 0)
azimov_datahist.SetLineColor(ROOT.kRed)
azimov_datahist.SetMarkerColor(ROOT.kRed)
#Blinding by hand using requested range, set to 70-110 by default
# for 0jet category
if not is2D and manual_blind:
for i in range(0, total_datahist.GetNbinsX()):
low_edge = total_datahist.GetBinLowEdge(i + 1)
high_edge = low_edge + total_datahist.GetBinWidth(i + 1)
if ((low_edge > float(x_blind_min)
and low_edge < float(x_blind_max))
or (high_edge > float(x_blind_min)
and high_edge < float(x_blind_max))):
blind_datahist.SetBinContent(i + 1, -0.1)
blind_datahist.SetBinError(i + 1, 0)
c = total_bkg.GetBinContent(i + 1)
azimov_datahist.SetBinContent(i + 1, c)
azimov_datahist.SetBinError(i + 1, c**.5)
# for boosted category:
if is2D and manual_blind:
x_blind_ind = [
ind for ind, x in enumerate(x_bins) if 120 >= int(x) >= 70
]
x_blind_ind1 = []
dummy_list = [
int(x) for x in np.linspace(Nxbins, Nxbins * Nxbins, Nxbins)
]
for i in range(0, total_datahist.GetNbinsX()):
if i in dummy_list:
x_blind_ind1 = [x + i for x in x_blind_ind]
if i in x_blind_ind or i in x_blind_ind1:
blind_datahist.SetBinContent(i + 1, -0.1)
blind_datahist.SetBinError(i + 1, 0)
c = total_bkg.GetBinContent(i + 1)
azimov_datahist.SetBinContent(i + 1, c)
azimov_datahist.SetBinError(i + 1, c**.5)
#Set bin errors for empty bins if required:
if empty_bin_error:
for i in range(1, blind_datahist.GetNbinsX() + 1):
if blind_datahist.GetBinContent(i) == 0:
blind_datahist.SetBinError(i, 1.8)
#Set uniform bin errors properly for Content < 10 bins
if args.proper_errors_uniform:
proper_errs_dict = {
0: 1.29,
1: 2.38,
2: 3.51,
3: 4.20,
4: 4.44,
5: 5.06,
6: 5.46,
7: 6.05,
8: 6.02,
9: 6.46
}
for i in range(1, blind_datahist.GetNbinsX() + 1):
if blind_datahist.GetBinContent(
i) < 9.5 and blind_datahist.GetBinContent(i) >= 0:
new_err = proper_errs_dict[round(
blind_datahist.GetBinContent(i))]
blind_datahist.SetBinError(i, new_err)
#Normalise by bin width
scale = 1.0
if is2D:
scale = 1. / 10. # if we have an unrolled plot then we need to account for the bins being in 10 GeV units
bkghist.Scale(scale, "width")
sbhist.Scale(scale, "width")
for shist in sighists:
if mode == 'prefit':
shist.Scale(6.0 * scale,
"width") # can scale up signals here if desired
else:
shist.Scale(scale, "width") # can scale up signals here if desired
for shist in sighists:
sbhist.Add(shist)
#sbhist.Scale(scale,"width")
#sbhist_alt.Scale(scale,"width")
blind_datahist.Scale(scale, "width")
azimov_datahist.Scale(scale, "width")
blind_datagraph = ROOT.TGraphAsymmErrors(blind_datahist)
azimov_datagraph = ROOT.TGraphAsymmErrors(azimov_datahist)
channel = args.channel
#Create stacked plot for the backgrounds
bkg_histos = []
for i, t in enumerate(background_schemes[channel]):
plots = t['plot_list']
isHist = False
h = ROOT.TH1F()
for j, k in enumerate(plots):
if h.GetEntries() == 0 and getHistogram(
histo_file, k, file_dir, mode, False,
logx=log_x) is not None:
isHist = True
h = getHistogram(histo_file, k, file_dir, mode, logx=log_x)[0]
h.SetName(k)
else:
if getHistogram(histo_file,
k,
file_dir,
mode,
False,
logx=log_x) is not None:
isHist = True
h.Add(
getHistogram(histo_file, k, file_dir, mode,
logx=log_x)[0])
h.SetFillColor(t['colour'])
h.SetLineColor(ROOT.kBlack)
h.SetMarkerSize(0)
h.Scale(scale, "width")
if isHist:
bkg_histos.append(h)
stack = ROOT.THStack("hs", "")
for hists in bkg_histos:
stack.Add(hists)
#Setup style related things
c2 = ROOT.TCanvas()
c2.cd()
if args.ratio:
pads = plot.TwoPadSplit(0.35, 0.01, 0.01)
else:
pads = plot.OnePad()
for p in pads:
p.SetFrameLineWidth(1)
pads[0].cd()
if (log_y):
pads[0].SetLogy(1)
if (log_x):
pads[0].SetLogx(1)
if custom_x_range:
if x_axis_max > bkghist.GetXaxis().GetXmax():
x_axis_max = bkghist.GetXaxis().GetXmax()
if args.ratio:
if (log_x):
pads[1].SetLogx(1)
axish = createAxisHists(2, bkghist,
bkghist.GetXaxis().GetXmin(),
bkghist.GetXaxis().GetXmax() - 0.01)
axish[1].GetXaxis().SetTitle(x_title)
if is2D:
axish[1].GetXaxis().SetLabelSize(0.03)
axish[1].GetYaxis().SetNdivisions(4)
axish[1].GetYaxis().SetLabelSize(0.033)
axish[1].GetXaxis().SetLabelSize(0.033)
if is2D:
axish[1].GetXaxis().SetNdivisions(bkghist.GetNbinsX() / Nxbins,
Nxbins, 0, False)
axish[0].GetYaxis().SetTitleSize(0.048)
axish[0].GetYaxis().SetLabelSize(0.033)
axish[0].GetYaxis().SetTitleOffset(0.5)
axish[0].GetXaxis().SetTitleSize(0)
axish[0].GetXaxis().SetLabelSize(0)
if is2D:
axish[0].GetXaxis().SetNdivisions(bkghist.GetNbinsX() / Nxbins,
Nxbins, 0, False)
axish[0].GetYaxis().SetTitleSize(axish[1].GetXaxis().GetTitleSize())
axish[0].GetXaxis().SetRangeUser(x_axis_min,
bkghist.GetXaxis().GetXmax() - 0.01)
axish[1].GetXaxis().SetRangeUser(x_axis_min,
bkghist.GetXaxis().GetXmax() - 0.01)
axish[0].GetXaxis().SetMoreLogLabels()
axish[0].GetXaxis().SetNoExponent()
axish[1].GetXaxis().SetMoreLogLabels()
axish[1].GetXaxis().SetNoExponent()
axish[1].GetXaxis().SetTitleOffset(0.85)
if not is2D:
axish[0].GetXaxis().SetRangeUser(
0.,
bkghist.GetXaxis().GetXmax() - 0.01)
axish[1].GetXaxis().SetRangeUser(
0.,
bkghist.GetXaxis().GetXmax() - 0.01)
if custom_x_range:
axish[0].GetXaxis().SetRangeUser(x_axis_min, x_axis_max - 0.01)
axish[1].GetXaxis().SetRangeUser(x_axis_min, x_axis_max - 0.01)
if custom_y_range:
axish[0].GetYaxis().SetRangeUser(y_axis_min, y_axis_max)
axish[1].GetYaxis().SetRangeUser(y_axis_min, y_axis_max)
else:
axish = createAxisHists(1, bkghist,
bkghist.GetXaxis().GetXmin(),
bkghist.GetXaxis().GetXmax() - 0.01)
if custom_x_range:
axish[0].GetXaxis().SetRangeUser(x_axis_min, x_axis_max - 0.01)
if custom_y_range:
axish[0].GetYaxis().SetRangeUser(y_axis_min, y_axis_max)
axish[0].GetYaxis().SetTitleOffset(0.5)
axish[1].GetYaxis().SetTitleOffset(0.5)
axish[0].GetYaxis().SetTitle("dN/dm_{#tau#tau} (1/GeV)")
if not is2D:
axish[0].GetYaxis().SetTitle("dN/dm_{#tau#tau} (1/GeV)")
#axish[0].GetYaxis().SetTitle("< Events / GeV >")
axish[0].GetYaxis().SetTitleOffset(1.5)
axish[1].GetYaxis().SetTitleOffset(1.5)
axish[0].GetXaxis().SetTitle(x_title)
if not custom_y_range:
axish[0].SetMaximum(extra_pad * bkghist.GetMaximum())
if not custom_y_range:
if (log_y):
ymin = 0.1
axish[0].SetMinimum(ymin)
else:
axish[0].SetMinimum(0)
hist_indices = [0]
for i in hist_indices:
pads[i].cd()
axish[i].Draw("AXIS")
bkghist.SetMarkerSize(0)
bkghist.SetFillColor(2001)
bkghist.SetLineColor(1)
bkghist.SetLineWidth(1)
bkghist.SetFillColor(plot.CreateTransparentColor(12, 0.4))
bkghist.SetLineColor(0)
#stack.Draw("histsame")
#bkghist.Draw("e2same")
#Add signal, either model dependent or independent
if not args.no_signal:
sighist.SetLineColor(ROOT.kRed)
sighist.SetLineWidth(2)
if not is2D:
sighist.SetLineWidth(3)
for shist in sighists:
for j in range(1, shist.GetNbinsX() + 1):
entry = shist.GetBinContent(j)
if entry < axish[0].GetMinimum():
shist.SetBinContent(j, axish[0].GetMinimum() * 1.00001)
shist_stack = shist.Clone()
shist_stack.SetLineColor(ROOT.kBlack)
shist_stack.SetLineWidth(1)
#shist_stack.SetFillStyle(1)
shist_stack.SetFillColor(ROOT.kRed)
#stack.Add(shist_stack) # uncomment to add to the stack
# shist.Draw("histsame][") # removing vertical lines at the borders of the pad; possible with the trick above
stack.Draw("histsame")
shist.Draw("histsame ][")
bkghist.Draw("e2same")
blind_datagraph_extra = blind_datagraph.Clone()
blind_datagraph_extra.Draw("P Z 0 same")
blind_datagraph.SetMarkerSize(0.)
blind_datagraph.Draw("P Z 0 same")
azimov_datagraph_extra = azimov_datagraph.Clone()
azimov_datagraph_extra.Draw("P Z 0 same")
azimov_datagraph.SetMarkerSize(0.)
azimov_datagraph.Draw("P Z 0 same")
axish[i].Draw("axissame")
pads[0].cd()
pads[0].SetTicks(1)
pads[1].SetTicks(1)
#Setup legend
if not is2D:
legend = plot.PositionedLegend(0.42, 0.33, 3, 0.02, 0.02)
#def PositionedLegend(width, height, pos, offset, horizontaloffset=None):
legend.SetTextSize(0.028)
else:
legend = PositionedLegendUnrolled(0.13, 0.5, 7, 0.02)
legend.SetTextSize(0.035)
legend.SetTextFont(42)
legend.SetFillStyle(0)
legend.AddEntry(total_datahist, "Observed", "PEl")
#Drawn on legend in reverse order looks better
bkg_histos.reverse()
background_schemes[channel].reverse()
leg_hists = [None] * len(bkg_histos)
for legi, hists in enumerate(bkg_histos):
legend.AddEntry(hists, background_schemes[channel][legi]['leg_text'],
"f")
#legend.AddEntry(bkghist,"Background uncertainty","f")
bkghist.SetLineWidth(0)
legend.AddEntry(bkghist, "Bkg. unc.", "f")
if is2D:
if not mode == 'prefit':
if not args.no_signal:
legend.AddEntry(sighist,
"gg#phi @ 5.8 pb (m_{#phi}= 100 GeV)" % vars(),
"l")
else:
if not args.no_signal:
legend.AddEntry(sighist,
"gg#phi @ 5.8 pb (m_{#phi}= 100 GeV)" % vars(),
"l")
else:
#if not args.no_signal: legend.AddEntry(shist_stack,"gg#phi(100 GeV) @ 5.8 pb"%vars(),"f") # uncomment if showing in the stack
if not args.no_signal:
legend.AddEntry(sighist,
"gg#phi @ 5.8 pb (m_{#phi}= 100 GeV)" % vars(),
"l")
legend.Draw("same")
latex2 = ROOT.TLatex()
latex2.SetNDC()
latex2.SetTextAngle(0)
latex2.SetTextColor(ROOT.kBlack)
latex2.SetTextFont(42)
if not is2D:
#latex2.SetTextSize(0.032)
#latex2.DrawLatex(0.21,0.89,"{}, {}".format(bin_label.split(',')[0], channel_label))
#latex3 = ROOT.TLatex()
#latex3.SetNDC()
#latex3.SetTextSize(0.032)
#latex3.SetTextAngle(0)
#latex3.SetTextColor(ROOT.kBlack)
#latex3.SetTextFont(42)
#if len(bin_label.split(','))>1: latex3.DrawLatex(0.21,0.84,"{}".format(bin_label.split(',')[1]))
textsize = 0.033 #0.027
begin_left = None
ypos = 0.960 if "_{" in bin_label else 0.955
latex2 = ROOT.TLatex()
latex2.SetNDC()
latex2.SetTextAngle(0)
latex2.SetTextColor(ROOT.kBlack)
latex2.SetTextSize(textsize)
if begin_left == None:
#begin_left = 0.145
begin_left = 0.180
latex2.SetTextFont(42)
latex2.DrawLatex(begin_left, 0.960, channel_label + ', ' + bin_label)
else:
latex2.SetTextAlign(23)
latex2.SetTextSize(0.05)
latex2.DrawLatex(0.46, 0.955, "{}, {}".format(bin_label,
channel_label))
if args.bOnly:
#pads[0].cd()
latex2.DrawLatex(0.54, 0.55, "Bkg. only fit")
#CMS and lumi labels
plot.FixTopRange(pads[0], plot.GetPadYMax(pads[0]),
extra_pad if extra_pad > 0 else 0.3)
extra = cms_label
#extra='Preliminary'
if not is2D:
#DrawCMSLogo(pads[0], 'CMS', extra, 0, 0.07, -0.0, 2.0, '', 0.85, relExtraDX=0.05)
cms_scale = 1.0
DrawCMSLogo(pads[0], 'CMS', extra, 11, 0.045, 0.05, 1.0, '', cms_scale)
plot.DrawTitle(pads[0], lumi, 3, textSize=0.6)
else:
DrawCMSLogo(pads[0],
'CMS',
extra,
0,
0.07,
-0.0,
2.0,
'',
0.6,
relExtraDX=0.005)
DrawTitleUnrolled(pads[0], lumi, 3, scale=0.6)
#Add ratio plot if required
axish[1].GetYaxis().SetTitle("Obs./Exp.")
if args.ratio:
ratio_bkghist = plot.MakeRatioHist(bkghist, bkghist, True, False)
sbhist.SetLineColor(ROOT.kRed)
sbhist_alt.SetLineColor(ROOT.kBlue)
sbhist.SetLineWidth(2)
sbhist_alt.SetLineWidth(2)
if not is2D:
sbhist.SetLineWidth(3)
sbhist_alt.SetLineWidth(3)
bkghist_errors = bkghist.Clone()
#for i in range(1,bkghist_errors.GetNbinsX()+1): bkghist_errors.SetBinContent(i,bkghist.GetBinError(i))
for i in range(1, bkghist_errors.GetNbinsX() + 1):
bkghist_errors.SetBinContent(i, 1.)
ratio_sighist = plot.MakeRatioHist(sbhist, bkghist, True, False)
ratio_datahist_ = plot.MakeRatioHist(blind_datahist, bkghist, True,
False)
azimov_ratio_datahist_ = plot.MakeRatioHist(azimov_datahist, bkghist,
True, False)
ratio_datahist = ROOT.TGraphAsymmErrors(ratio_datahist_)
azimov_ratio_datahist = ROOT.TGraphAsymmErrors(azimov_ratio_datahist_)
pads[1].cd()
#pads[1].SetGrid(0,1)
axish[1].Draw("axis")
axish[1].SetMinimum(float(args.ratio_range.split(',')[0]))
axish[1].SetMaximum(float(args.ratio_range.split(',')[1]))
ratio_bkghist.SetMarkerSize(0)
ratio_bkghist.Draw("e2same")
ratio_datahist.Draw("P Z 0 same")
ratio_sighist.Draw('histsame')
if args.f_bOnly:
bonly_histo_file = ROOT.TFile(args.f_bOnly)
bonlyhist = getHistogram(bonly_histo_file,
'TotalBkg',
file_dir,
mode,
logx=log_x)[0]
bonlyhist.Scale(1, "width")
bonlyhist.SetLineColor(ROOT.kBlue)
bonlyhist.SetLineWidth(2)
bonlyhist.SetLineStyle(2)
ratio_bonlyhist = plot.MakeRatioHist(bonlyhist, bkghist, True,
False)
ratio_bonlyhist.Draw("histsame")
pads[0].cd()
legend.AddEntry(bonlyhist, 'Bkg. only fit', 'l')
legend.Draw()
#bonlyhist.Draw('histsame')
bonlyhist.SetMarkerSize(0)
bonlyhist.Draw('lsame')
stack.Draw("histsame")
shist.Draw("histsame ][")
bkghist.Draw("e2same")
blind_datagraph.SetMarkerSize(1)
blind_datagraph.Draw("P Z 0 same")
pads[1].cd()
if args.manual_blind: azimov_ratio_datahist.Draw("P Z 0 same")
pads[1].RedrawAxis("G")
if is2D:
rlegend = ROOT.TLegend(0.85, 0.27, 0.98, 0.16, '', 'NBNDC')
rlegend.SetTextFont(42)
rlegend.SetTextSize(0.035)
rlegend.SetFillStyle(0)
rlegend.AddEntry(ratio_datahist, "Obs./Exp.", "PE")
rlegend.AddEntry("", " ", "")
#rlegend.AddEntry(ratio_sighist,"(Sig.+Bkg.)/Bkg.","L")
#rlegend.Draw("same")
# Draw extra axis for explanation (use "N" for no optimisation)
if is2D:
extra_axis = ROOT.TGaxis(0, -0.03, 30., -0.03, 0., 300., 403, "NS")
extra_axis.SetLabelSize(0.03)
extra_axis.SetLabelFont(42)
extra_axis.SetMaxDigits(3)
extra_axis.SetTitle("m_{#tau#tau} (GeV)")
extra_axis.SetTitleFont(42)
extra_axis.SetTitleSize(0.035)
extra_axis.SetTitleOffset(1.1)
extra_axis.SetTickSize(0.08)
extra_axis.Draw()
pads[0].cd()
pads[0].GetFrame().Draw()
pads[0].RedrawAxis()
## Add lines after every Nxbins
#line = ROOT.TLine()
#line.SetLineWidth(2)
#line.SetLineStyle(3)
#line.SetLineColor(1)
#x = bkghist.GetNbinsX()/Nxbins
#x_min=bkghist.GetXaxis().GetBinLowEdge(1)
#x_max=bkghist.GetXaxis().GetBinLowEdge(bkghist.GetNbinsX()+1)
#x_range=x_max-x_min
## for now we have to hard code x=4 otherwise we have issues when the auto rebinning has been used
#x=4
#if is2D:
# for l in range(1,x):
# pads[0].cd()
# ymax = axish[0].GetMaximum()
# ymin = axish[0].GetMinimum()
# line.DrawLine(l*x_range/x,ymin,l*x_range/x,ymax)
# if args.ratio:
# pads[1].cd()
# ymax = axish[1].GetMaximum()
# ymin = axish[1].GetMinimum()
# line.DrawLine(l*x_range/x,ymin,l*x_range/x,ymax)
## Add bin labels between lines
pads[0].cd()
latex_bin = ROOT.TLatex()
latex_bin.SetNDC()
latex_bin.SetTextAngle(0)
latex_bin.SetTextColor(ROOT.kBlack)
latex_bin.SetTextFont(42)
latex_bin.SetTextSize(0.035)
if len(y_bin_labels) > 6 or ('_2_' in file_dir and len(y_bin_labels) > 5):
latex_bin.SetTextSize(0.027)
for i in range(0, len(y_bin_labels)):
if i < len(y_bin_labels) - 1:
y_bin_label = "{} #leq {} < {} {}".format(y_bin_labels[i],
y_bin_var,
y_bin_labels[i + 1],
"GeV")
l = ROOT.gPad.GetLeftMargin()
r = ROOT.gPad.GetRightMargin()
#xshift = ((1-r-l)/(axish[0].GetNbinsX()/Nxbins))*i + l
# have to hard code 4 here other wise we have problems when the autorebinning has been used
xshift = ((1 - r - l) / (4)) * i + l
latex_bin.DrawLatex(xshift + 0.02, 0.82, y_bin_label)
else:
#xshift = ((1-r-l)/(axish[0].GetNbinsX()/Nxbins))*i + l
# have to hard code 4 here other wise we have problems when the autorebinning has been used
xshift = ((1 - r - l) / (4)) * i + l
y_bin_label = "{} > {} {}".format(y_bin_var, y_bin_labels[i],
"GeV")
latex_bin.DrawLatex(xshift + 0.02, 0.82, y_bin_label)
#Save as png and pdf with some semi sensible filename
shape_file_name = shape_file_name.replace(".root", "_%(mode)s" % vars())
shape_file_name = shape_file_name.replace("_shapes", "")
outname += shape_file_name + "_" + file_dir.strip("htt").strip("_")
if (log_x):
outname += "_logx"
c2.SaveAs("plots/%(outname)s.pdf" % vars())
del c2
histo_file.Close()
def PlotTestStat(self, result, name, opts, poi_vals):
null_vals = [
x * -2.
for x in result.GetNullDistribution().GetSamplingDistribution()
]
alt_vals = [
x * -2.
for x in result.GetAltDistribution().GetSamplingDistribution()
]
if len(null_vals) == 0 or len(alt_vals) == 0:
print '>> Errror in PlotTestStat for %s, null and/or alt distributions are empty'
return
plot.ModTDRStyle()
canv = ROOT.TCanvas(name, name)
pad = plot.OnePad()[0]
min_val = min(min(alt_vals), min(null_vals))
max_val = max(max(alt_vals), max(null_vals))
min_plot_range = min_val - 0.05 * (max_val - min_val)
if opts['one_sided']:
min_plot_range = 0.
pad.SetLogy(True)
max_plot_range = max_val + 0.05 * (max_val - min_val)
hist_null = ROOT.TH1F('null', 'null', 40, min_plot_range,
max_plot_range)
hist_alt = ROOT.TH1F('alt', 'alt', 40, min_plot_range, max_plot_range)
for val in null_vals:
hist_null.Fill(val)
for val in alt_vals:
hist_alt.Fill(val)
hist_alt.SetLineColor(ROOT.TColor.GetColor(4, 4, 255))
hist_alt.SetFillColor(
plot.CreateTransparentColor(ROOT.TColor.GetColor(4, 4, 255), 0.4))
hist_alt.GetXaxis().SetTitle('-2 #times ln(^{}L_{%s}/^{}L_{%s})' %
(opts['alt_label'], opts['null_label']))
hist_alt.GetYaxis().SetTitle('Pseudo-experiments')
hist_alt.Draw()
hist_null.SetLineColor(ROOT.TColor.GetColor(252, 86, 11))
hist_null.SetFillColor(
plot.CreateTransparentColor(ROOT.TColor.GetColor(254, 195, 40),
0.4))
hist_null.Draw('SAME')
val_obs = result.GetTestStatisticData() * -2.
obs = ROOT.TArrow(val_obs, 0, val_obs,
hist_alt.GetMaximum() * 0.3, 0.05, '<-|')
obs.SetLineColor(ROOT.kRed)
obs.SetLineWidth(3)
obs.Draw()
plot.FixTopRange(pad, plot.GetPadYMax(pad), 0.25)
leg = plot.PositionedLegend(0.22, 0.2, 3, 0.02)
leg.AddEntry(hist_alt, opts['alt_label'], 'F')
leg.AddEntry(hist_null, opts['null_label'], 'F')
leg.AddEntry(obs, 'Observed', 'L')
leg.Draw()
plot.DrawCMSLogo(pad, 'CMS', opts['cms_subtitle'], 0, 0.15, 0.035, 1.2)
pt_l = ROOT.TPaveText(0.23, 0.75, 0.33, 0.9, 'NDCNB')
pt_l.AddText('Model:')
pt_l.AddText('Toys:')
pt_l.AddText('CLs+b:')
pt_l.AddText('CLb:')
pt_l.AddText('CLs:')
plot.Set(pt_l, TextAlign=11, TextFont=62, BorderSize=0)
pt_l.Draw()
pt_r = ROOT.TPaveText(0.33, 0.75, 0.63, 0.9, 'NDCNB')
pt_r.AddText('%s [%s = %.1f, %s = %.1f]' %
(opts['model_label'], opts['poi_labels'][0], poi_vals[0],
opts['poi_labels'][1], poi_vals[1]))
pt_r.AddText(
'%i (%s) + %i (%s)' %
(result.GetNullDistribution().GetSize(), opts['null_label'],
result.GetAltDistribution().GetSize(), opts['alt_label']))
pt_r.AddText('%.3f #pm %.3f' %
(result.CLsplusb(), result.CLsplusbError()))
pt_r.AddText('%.3f #pm %.3f' % (result.CLb(), result.CLbError()))
pt_r.AddText('%.3f #pm %.3f' % (result.CLs(), result.CLsError()))
plot.Set(pt_r, TextAlign=11, TextFont=42, BorderSize=0)
pt_r.Draw()
pad.GetFrame().Draw()
pad.RedrawAxis()
for fmt in opts['formats']:
canv.SaveAs(fmt)
alpha = 0.7
lo_color = {
'default': 38,
'hesse': ROOT.kOrange - 3,
'robust': ROOT.kGreen + 1
}
hi_color = {
'default': 46,
'hesse': ROOT.kBlue,
'robust': ROOT.kAzure - 5
}
method = 'default'
if 'method' in data and data['method'] in lo_color:
method = data['method']
g_impacts_hi.SetFillColor(plot.CreateTransparentColor(hi_color[method], alpha))
g_impacts_hi.Draw('2SAME')
g_impacts_lo.SetFillColor(plot.CreateTransparentColor(lo_color[method], alpha))
g_impacts_lo.Draw('2SAME')
pads[1].RedrawAxis()
legend = ROOT.TLegend(0.02, 0.02, 0.40, 0.06, '', 'NBNDC')
legend.SetNColumns(3)
legend.AddEntry(g_pulls, 'Pull', 'LP')
legend.AddEntry(g_impacts_hi, '+1#sigma Impact', 'F')
legend.AddEntry(g_impacts_lo, '-1#sigma Impact', 'F')
legend.Draw()
leg_width = pads[0].GetLeftMargin() - 0.01
if args.color_groups is not None:
legend2 = ROOT.TLegend(0.01, 0.94, leg_width, 0.99, '', 'NBNDC')
hr.GetYaxis().SetTickLength(hr.GetYaxis().GetTickLength() * 0.5)
if i == 0:
h.GetYaxis().SetTitle(settings[args.selection]['y_axis_title'])
if i > 0:
h.GetYaxis().SetLabelSize(0)
hr.GetYaxis().SetLabelSize(0)
h.GetYaxis().SetTitle('')
hr.GetYaxis().SetTitle('')
if i == n_bins_phi - 1:
hr.GetXaxis().SetTitle('Photon p_{T} (GeV)')
plot.Set(ref_hists_1D[i],
LineWidth=1,
LineColor=2,
MarkerSize=0,
FillColor=plot.CreateTransparentColor(2, 0.2))
h_store['ref_hists_1D_%i_line' % i] = ZeroErrors(ref_hists_1D[i].Clone())
plot.Set(obs_graphs[i], LineWidth=2, MarkerSize=0.6)
ref_hists_1D[i].Draw('E2SAME')
print '>>> REF graph %i' % i
for ig in xrange(1, ref_hists_1D[i].GetNbinsX() + 1):
print '%10g %10g %10.3g %10.3g' % (
ref_hists_1D[i].GetXaxis().GetBinLowEdge(ig),
ref_hists_1D[i].GetXaxis().GetBinUpEdge(ig),
ref_hists_1D[i].GetBinContent(ig), ref_hists_1D[i].GetBinError(ig))
h_store['ref_hists_1D_%i_line' % i].Draw('LSAME')
if i == 0:
legend.AddEntry(h_obs, 'Observed', 'PE')
legend.AddEntry(ref_hists_1D[i], 'MG5_aMC + PY8 (#leq1j NLO + PS)',
axish = createAxisHists(1, bkghist,
bkghist.GetXaxis().GetXmin(),
bkghist.GetXaxis().GetXmax())
axish[0].GetYaxis().SetTitleOffset(1.4)
if custom_x_range:
axish[0].GetXaxis().SetRangeUser(x_axis_min, x_axis_max)
if custom_y_range:
axish[0].GetYaxis().SetRangeUser(y_axis_min, y_axis_max)
axish[0].GetYaxis().SetTitle("Events (1/GeV)")
axish[0].GetXaxis().SetTitle("Visible mass (GeV)")
axish[0].SetMaximum(extra_pad * bkghist.GetMaximum())
axish[0].SetMinimum(0.0009)
axish[0].Draw()
#Draw uncertainty band
bkghist.SetFillColor(plot.CreateTransparentColor(12, 0.4))
bkghist.SetMarkerSize(0)
stack.Draw("histsame")
bkghist.Draw("e2same")
blind_datahist.DrawCopy("psame")
axish[0].Draw("axissame")
#Setup legend
legend = plot.PositionedLegend(0.30, 0.30, 3, 0.03)
legend.SetTextFont(42)
legend.SetTextSize(0.025)
legend.SetFillColor(0)
for legi, hists in enumerate(bkg_histos):
legend.AddEntry(hists, background_schemes[channel][legi]['leg_text'], "f")
legend.AddEntry(bkghist, "Background uncertainty", "f")
# And back to the second pad to draw the impacts graphs
pads[1].cd()
alpha = 0.7
lo_color = {
'default': 38,
'hesse': ROOT.kOrange - 3,
'robust': ROOT.kGreen + 1
}
hi_color = {'default': 46, 'hesse': ROOT.kBlue, 'robust': ROOT.kAzure - 5}
method = 'default'
if 'method' in data and data['method'] in lo_color:
method = data['method']
g_impacts_hi.SetFillColor(
plot.CreateTransparentColor(hi_color[method], alpha))
g_impacts_hi.Draw('2SAME')
g_impacts_lo.SetFillColor(
plot.CreateTransparentColor(lo_color[method], alpha))
g_impacts_lo.Draw('2SAME')
pads[1].RedrawAxis()
legend = ROOT.TLegend(0.02, 0.02, 0.40, 0.06, '', 'NBNDC')
legend.SetNColumns(3)
legend.AddEntry(g_pulls, 'Pull', 'LP')
legend.AddEntry(g_impacts_hi, '+1#sigma Impact', 'F')
legend.AddEntry(g_impacts_lo, '-1#sigma Impact', 'F')
legend.Draw()
leg_width = pads[0].GetLeftMargin() - 0.01
if args.color_groups is not None:
def MakePlot(name, outdir, hists, cfg, layouts):
copyhists = {}
for hname, h in hists.iteritems():
if len(cfg['rebinvar']):
copyhists[hname] = VariableRebin(h, cfg['rebinvar'])
else:
copyhists[hname] = h.Clone()
if cfg['divwidth']:
copyhists[hname].Scale(1., 'width')
hists = copyhists
# Canvas and pads
canv = ROOT.TCanvas(name, name)
if cfg['ratio'] or cfg['fraction']:
pads = plot.TwoPadSplit(0.27, 0.01, 0.01)
else:
pads = plot.OnePad()
# Get the data and create axis hist
h_data = hists[cfg['data_name']]
# h_data = Getter(file, '%s/data_obs' % target, True)
if isinstance(h_data, ROOT.TH2):
print 'TH2: aborting!'
return
h_axes = [h_data.Clone() for x in pads]
for h in h_axes:
if len(cfg['x_range']):
h.GetXaxis().SetRangeUser(*cfg['x_range'])
h.Reset()
build_h_tot = True
h_tot = None
if 'TotalProcs' in hists:
h_tot = hists['TotalProcs']
build_h_tot = False
x_title = cfg['x_title'][0]
units = cfg['x_title'][1]
if x_title == '' and h_data.GetXaxis().GetTitle() != '':
x_title = h_data.GetXaxis().GetTitle()
if ':' in x_title:
units = x_title.split(':')[1]
x_title = x_title.split(':')[0]
if cfg['logy']:
pads[0].SetLogy()
h_axes[0].SetMinimum(0.001)
if cfg['ratio'] or cfg['fraction']:
plot.StandardAxes(h_axes[1].GetXaxis(), h_axes[0].GetYaxis(), x_title,
units)
else:
plot.StandardAxes(h_axes[0].GetXaxis(), h_axes[0].GetYaxis(), x_title,
units)
h_axes[0].Draw()
# A dict to keep track of the hists
h_store = {}
layout = layouts[cfg['layout']]
stack = ROOT.THStack()
legend = ROOT.TLegend(*(cfg['legend_pos'] + ['', 'NBNDC']))
for info in layout:
hist = hists[info['entries'][0]]
col = info['color']
if isinstance(col, list):
col = ROOT.TColor.GetColor(*col)
plot.Set(hist, FillColor=col, Title=info['legend'])
if len(info['entries']) > 1:
for other in info['entries'][1:]:
hist.Add(hists[other])
h_store[info['name']] = hist
if build_h_tot:
if h_tot is None:
h_tot = hist.Clone()
else:
h_tot.Add(hist)
stack.Add(hist)
h_tot.SetFillColor(plot.CreateTransparentColor(12, 0.3))
h_tot.SetMarkerSize(0)
legend.AddEntry(h_data, 'Observed', 'PL')
for ele in reversed(layout):
legend.AddEntry(h_store[ele['name']], '', 'F')
bkg_uncert_label = 'Stat. Uncertainty'
if not build_h_tot:
bkg_uncert_label = 'Uncertainty'
legend.AddEntry(h_tot, bkg_uncert_label, 'F')
stack.Draw('HISTSAME')
h_tot.Draw("E2SAME")
if not cfg['hide_data']:
h_data.Draw('E0SAME')
plot.FixTopRange(pads[0], plot.GetPadYMax(pads[0]), 0.35)
legend.Draw()
if cfg['legend_padding'] > 0.:
print h_axes[0].GetMinimum(), h_axes[0].GetMaximum()
if not h_axes[0].GetMaximum() == 0.:
plot.FixBoxPadding(pads[0], legend, cfg['legend_padding'])
# Do the ratio plot
if cfg['ratio'] or cfg['fraction']:
pads[1].cd()
pads[1].SetGrid(0, 1)
h_axes[1].Draw()
if cfg['ratio']:
r_data = plot.MakeRatioHist(h_data, h_tot, True, False)
r_tot = plot.MakeRatioHist(h_tot, h_tot, True, False)
r_tot.Draw('E2SAME')
if not cfg['hide_data']:
r_data.Draw('SAME')
plot.SetupTwoPadSplitAsRatio(pads, plot.GetAxisHist(pads[0]),
plot.GetAxisHist(pads[1]), 'Obs/Exp',
True, 0.61, 1.69)
if cfg['fraction']:
r_frac = plot.MakeRatioHist(h_tot, h_data, True, True)
r_frac.Draw('SAME')
plot.SetupTwoPadSplitAsRatio(pads, plot.GetAxisHist(pads[0]),
plot.GetAxisHist(pads[1]), 'Exp/Obs',
True, 0.0, 0.5)
# Go back and tidy up the axes and frame
pads[0].cd()
pads[0].GetFrame().Draw()
pads[0].RedrawAxis()
# CMS logo
plot.DrawCMSLogo(pads[0], cfg['main_logo'], cfg['sub_logo'], 11, 0.045,
0.05, 1.0, '', 1.0)
plot.DrawTitle(pads[0], cfg['top_title_left'], 1)
if cfg['auto_top_title_right']:
title_right = h_data.GetTitle()
if title_right.startswith('lumi:'):
plot.DrawTitle(pads[0], title_right.replace('lumi:', ''), 3)
else:
plot.DrawTitle(pads[0], cfg['top_title_right'], 3)
latex = ROOT.TLatex()
plot.Set(latex, NDC=None, TextFont=42, TextSize=0.03)
latex.DrawLatex(0.20, 0.75, args.title)
# plot.DrawTitle(pads[0], args.title, 1)
# ... and we're done
canv.Print(outdir + '/' + cfg['prefix'] + name + cfg['postfix'] + '.png')
canv.Print(outdir + '/' + cfg['prefix'] + name + cfg['postfix'] + '.pdf')
canv = ROOT.TCanvas(args.output, args.output)
pads = plot.OnePad()
# sb_sig.SetBinContent(17, 0.);
# sb_bkg.SetBinContent(17, 0.);
# sb_obs.SetBinContent(17, 0.);
h_bkg.SetFillColor(18)
h_sig.SetFillColor(ROOT.kRed)
h_sig.SetFillStyle(3004)
h_sig.SetLineColor(ROOT.kRed)
h_sig_mu1.SetFillColor(ROOT.kOrange-2)
h_sig_mu1.SetFillStyle(3004)
h_sig_mu1.SetLineColor(ROOT.kOrange-2)
new_idx = plot.CreateTransparentColor(12, 0.4)
h_err.SetFillColor(new_idx)
h_err.SetMarkerSize(0)
h_sig_num = h_sig.Clone()
h_sig_num.Add(h_bkg)
h_sig_r = plot.MakeRatioHist(h_sig_num, h_bkg, False, False)
blank_r = h_bkg.Clone()
for i in xrange(1, blank_r.GetNbinsX()+1):
blank_r.SetBinContent(i, 1.)
blank_r.SetFillColor(10)
blank_r.SetFillStyle(1001)
h_sig_mu1_num = h_sig_mu1.Clone()
h_sig_mu1_num.Add(h_bkg)
if 'exp-2' in contours and 'exp+2' in contours:
for i, gr in enumerate(contours['exp+2']):
plot.Set(gr, LineColor=0, FillColor=ROOT.kWhite, FillStyle=1001)
if (args.hist or args.model_hist) is not None:
plot.Set(gr, LineColor=ROOT.kGray + 0, LineWidth=2)
gr.Draw(fillstyle)
if 'exp0' in contours:
for i, gr in enumerate(contours['exp0']):
if (args.hist or args.model_hist) is not None:
plot.Set(gr, LineWidth=2)
if 'obs' in contours:
plot.Set(gr, LineColor=ROOT.kBlack, LineStyle=2)
gr.Draw('LSAME')
else:
plot.Set(gr, LineStyle=2, FillStyle=1001,
FillColor=plot.CreateTransparentColor(
ROOT.kSpring + 6, 0.5))
gr.Draw(fillstyle)
gr.Draw('LSAME')
if 'obs' in contours:
for i, gr in enumerate(contours['obs']):
plot.Set(gr, FillStyle=1001, FillColor=plot.CreateTransparentColor(
ROOT.kAzure + 6, 0.5))
if (args.hist or args.model_hist) is not None:
plot.Set(gr, LineWidth=2)
gr.Draw(fillstyle)
gr.Draw('LSAME')
if mh122_contours is not None:
for i, gr in enumerate(mh122_contours):
plot.Set(gr, LineWidth=2, LineColor=ROOT.kRed,FillStyle=3004,FillColor=ROOT.kRed)
gr.Draw(fillstyle)
plot.Set(h_impacts.GetYaxis(), LabelSize=0, TickLength=0.0)
h_impacts.Draw()
# Back to the first pad to draw the pulls graph
pads[0].cd()
plot.Set(g_pulls, MarkerSize=0.8, LineWidth=2)
g_pulls.Draw('PSAME')
plot.Set(g_pulls_e, MarkerSize=0.8, LineWidth=2)
g_pulls_e.SetMarkerColor(2)
g_pulls_e.SetLineColor(2)
g_pulls_e.Draw('PSAME')
# And back to the second pad to draw the impacts graphs
pads[1].cd()
alpha = 0.7 if args.transparent else 1.0
g_impacts_hi.SetFillColor(plot.CreateTransparentColor(46, alpha))
g_impacts_hi.Draw('2SAME')
g_impacts_lo.SetFillColor(plot.CreateTransparentColor(38, alpha))
g_impacts_lo.Draw('2SAME')
g_impacts_hi_e.SetFillColor(plot.CreateTransparentColor(5, alpha))
g_impacts_hi_e.Draw('2SAME')
g_impacts_lo_e.SetFillColor(plot.CreateTransparentColor(8, alpha))
g_impacts_lo_e.Draw('2SAME')
pads[1].RedrawAxis()
legend = ROOT.TLegend(0.02, 0.01, 0.40, 0.06, '', 'NBNDC')
legend.SetNColumns(3)
legend.AddEntry(g_pulls, 'Pull exp.', 'LP')
legend.AddEntry(g_impacts_hi, '+1#sigma Impact exp.', 'F')
legend.AddEntry(g_impacts_lo, '-1#sigma Impact exp.', 'F')
legend.AddEntry(g_pulls_e, 'Pull obs.', 'LP')
if not soverb_plot and not fractions: axish[0].GetYaxis().SetTitle(args.y_title)
elif soverb_plot: axish[0].GetYaxis().SetTitle("Events")
elif fractions: axish[0].GetYaxis().SetTitle("Fraction of total bkg")
axish[0].GetXaxis().SetTitle(args.x_title)
if not custom_y_range: axish[0].SetMaximum(extra_pad*bkghist.GetMaximum())
if not custom_y_range:
if(log_y): axish[0].SetMinimum(0.0009)
else: axish[0].SetMinimum(0)
hist_indices = [0,2] if split_y_scale else [0]
for i in hist_indices:
pads[i].cd()
axish[i].Draw("AXIS")
#Draw uncertainty band
bkghist.SetFillColor(plot.CreateTransparentColor(12,0.4))
bkghist.SetLineColor(0)
bkghist.SetMarkerSize(0)
stack.Draw("histsame")
#Don't draw total bkgs/signal if plotting bkg fractions
if not fractions and not uniform:
bkghist.Draw("e2same")
#Add signal, either model dependent or independent
if not args.no_signal and ((split_y_scale and i == 2) or (not split_y_scale)):
if model_dep is True:
sighist.SetLineColor(ROOT.kGreen+3)
sighist.SetLineWidth(3)
# A trick to remove vertical lines for the signal histogram at the borders while preventing the lines to end in the middle of the plot.
for j in range(1,sighist.GetNbinsX()+1):
entry = sighist.GetBinContent(j)
