def do_dijet_distributions(root_dir, title):
"""Do plots comparing different different inputs in dijet region"""
# root_files = [qgc.JETHT_ZB_FILENAME, qgc.QCD_FILENAME, qgc.QCD_PYTHIA_ONLY_FILENAME, qgc.QCD_HERWIG_FILENAME]
# root_files = [qgc.JETHT_ZB_FILENAME, qgc.QCD_FILENAME, qgc.QCD_PYTHIA_ONLY_FILENAME]
root_files = [
qgc.JETHT_ZB_FILENAME, qgc.QCD_FILENAME, qgc.QCD_HERWIG_FILENAME
][:]
# root_files = [qgc.JETHT_ZB_FILENAME, qgc.QCD_FILENAME]
# root_files = [qgc.JETHT_ZB_FILENAME, qgc.QCD_PYTHIA_ONLY_FILENAME]
# root_files = [qgc.JETHT_ZB_FILENAME, qgc.QCD_HERWIG_FILENAME]
if not all(os.path.isfile(os.path.join(root_dir, r)) for r in root_files):
print("Cannot find ROOT files, skipping dijet kinematic plots")
return
root_files = [
cu.TFileCacher(os.path.join(root_dir, r)) for r in root_files
]
# herwig_dir = "workdir_ak4chs_herwig_newFlav_withPUreweight_withMuSF"
# herwig_dir = "workdir_ak4chs_herwig_newFlav_withPUreweight_withMuSF_noExtraJetCuts"
# root_files.append(cu.TFileCacher(os.path.join(herwig_dir, qgc.QCD_FILENAME)))
# directories = [rf.get("Dijet") for rf in root_files]
directories = [rf.get("Dijet_tighter") for rf in root_files[:]]
# directories.extend([rf.get("Dijet_tighter") for rf in root_files[1:]])
mc_col = qgc.QCD_COLOUR
mc_col2 = qgc.QCD_COLOURS[2]
# mc_col3 = qgc.QCD_COLOURS[3]
data_col = qgc.JETHT_COLOUR
zb_col = ROOT.kGreen + 2
msize = 0.75
csd = [
{
"label": "Data",
"line_color": data_col,
"fill_color": data_col,
"marker_color": data_col,
"marker_style": 20,
"fill_style": 0,
"marker_size": msize,
'line_width': 2
},
{
"label": "QCD MC [MG+PY8]",
"line_color": mc_col,
"fill_color": mc_col,
"marker_color": mc_col,
"marker_style": 22,
"fill_style": 0,
"marker_size": msize
},
# {"label": "QCD MC [PY8]", "line_color": mc_col2, "fill_color": mc_col2, "marker_color": mc_col2, "marker_style": 21, "fill_style": 0, "marker_size": msize},
{
"label": "QCD MC [H++]",
"line_color": qgc.HERWIGPP_QCD_COLOUR,
"fill_color": qgc.HERWIGPP_QCD_COLOUR,
"marker_color": qgc.HERWIGPP_QCD_COLOUR,
"marker_style": 23,
"fill_style": 0,
"marker_size": msize
},
]
jet_config_str = qgc.extract_jet_config(root_dir)
# Compare yields
do_all_1D_projection_plots_in_dir(
directories=directories,
output_dir=os.path.join(root_dir,
"Dijet_data_mc_kin_comparison_absolute2"),
# # output_dir=os.path.join(root_dir, "Dijet_data_mc_kin_comparison_absolute_pythiaOnly"),
# output_dir=os.path.join(root_dir, "Dijet_data_mc_kin_comparison_absolute_both"),
# output_dir=os.path.join(root_dir, "Dijet_data_mc_kin_comparison_absolute_everything"),
# # output_dir=os.path.join(root_dir, "Dijet_data_mc_kin_comparison_absolute_all"),
components_styles_dicts=csd,
region_str=qgc.Dijet_LABEL,
jet_config_str=jet_config_str,
normalise_hists=False,
bin_by='ave')
# Compare shapes
do_all_1D_projection_plots_in_dir(
directories=directories,
output_dir=os.path.join(root_dir,
"Dijet_data_mc_kin_comparison_normalised2"),
# output_dir=os.path.join(root_dir, "Dijet_data_mc_kin_comparison_normalised_pythiaOnly"),
# output_dir=os.path.join(root_dir, "Dijet_data_mc_kin_comparison_normalised_both"),
# output_dir=os.path.join(root_dir, "Dijet_data_mc_kin_comparison_normalised_all"),
components_styles_dicts=csd,
region_str=qgc.Dijet_LABEL,
jet_config_str=jet_config_str,
title=title,
bin_by='ave')
# Do eta-ordered
directories = [rf.get("Dijet_eta_ordered") for rf in root_files[:]]
do_all_1D_projection_plots_in_dir(
directories=directories,
output_dir=os.path.join(
root_dir, "Dijet_data_mc_kin_comparison_eta_ordered_normalised2"),
components_styles_dicts=csd,
region_str=qgc.Dijet_LABEL,
jet_config_str=jet_config_str,
title=title,
bin_by='ave')
def do_zpj_distributions(root_dir, title):
"""Do plots comparing different different inputs in Z+jet region"""
# root_files = [qgc.SINGLE_MU_FILENAME, qgc.DY_FILENAME, qgc.DY_HERWIG_FILENAME, qgc.DY_MG_HERWIG_FILENAME]
root_files = [
qgc.SINGLE_MU_FILENAME, qgc.DY_FILENAME, qgc.DY_HERWIG_FILENAME
]
if not all([os.path.isfile(os.path.join(root_dir, r))
for r in root_files]):
print("Cannot find ROOT files, skipping Z+J kinematic plots")
return
root_files = [
cu.TFileCacher(os.path.join(root_dir, r)) for r in root_files
]
directories = [rf.get("ZPlusJets") for rf in root_files]
data_col = qgc.SINGLE_MU_COLOUR
mc_col = qgc.DY_COLOUR
mc_col2 = qgc.HERWIGPP_DY_COLOUR
mc_col3 = qgc.DY_COLOURS[3]
msize = 0.75
csd = [
{
"label": "Data",
"line_color": data_col,
"fill_color": data_col,
"marker_color": data_col,
"marker_style": 20,
"fill_style": 0,
"marker_size": msize
},
{
"label": "DY+Jets MC [MG+PY8]",
"line_color": mc_col,
"fill_color": mc_col,
"marker_color": mc_col,
"marker_style": 21,
"fill_style": 0,
"marker_size": msize
},
{
"label": "DY+Jets MC [H++]",
"line_color": mc_col2,
"fill_color": mc_col2,
"marker_color": mc_col2,
"marker_style": 23,
"fill_style": 0,
"marker_size": msize
},
# {"label": "DY+Jets MC [MG+H++]", "line_color": mc_col3, "fill_color": mc_col3, "marker_color": mc_col3, "marker_style": 22, "fill_style": 0, "marker_size": msize},
]
jet_config_str = qgc.extract_jet_config(root_dir)
# Compare yields
do_all_1D_projection_plots_in_dir(
directories=directories,
output_dir=os.path.join(root_dir,
"ZPlusJets_data_mc_kin_comparison_absolute2"),
# output_dir=os.path.join(root_dir, "ZPlusJets_data_mc_kin_comparison_absolute_compareKFactor"),
# output_dir=os.path.join(root_dir, "ZPlusJets_data_mc_kin_comparison_absolute_all"),
components_styles_dicts=csd,
jet_config_str=jet_config_str,
normalise_hists=False,
region_str=qgc.ZpJ_LABEL,
bin_by='Z')
# Compare shapes
do_all_1D_projection_plots_in_dir(
directories=directories,
output_dir=os.path.join(
root_dir, "ZPlusJets_data_mc_kin_comparison_normalised_compare2"),
# output_dir=os.path.join(root_dir, "ZPlusJets_data_mc_kin_comparison_normalised_compare_KFactor"),
# output_dir=os.path.join(root_dir, "ZPlusJets_data_mc_kin_comparison_normalised_all"),
jet_config_str=jet_config_str,
title=title,
components_styles_dicts=csd,
normalise_hists=True,
region_str=qgc.ZpJ_LABEL,
bin_by='Z')
def do_plots(root_dir):
# QG variable plots
pt_bins = qgc.PT_BINS[:]
var_list = qgc.COMMON_VARS
radius, pus = cu.get_jet_config_from_dirname(root_dir)
jet_str = "AK%s" % (radius.upper())
dy_tfile, qcd_tfile = None, None
if os.path.isfile(os.path.join(root_dir, qgc.DY_FILENAME)):
dy_tfile = cu.TFileCacher(os.path.join(root_dir, qgc.DY_FILENAME))
if os.path.isfile(os.path.join(root_dir, qgc.QCD_FILENAME)):
qcd_tfile = cu.TFileCacher(os.path.join(root_dir, qgc.QCD_FILENAME))
for gr_append in ["", "_groomed"]:
if gr_append == "_groomed":
print("Doing groomed plots...")
else:
print("Doing ungroomed plots...")
# GEnJets matched to recojet, reco selection
zpj_dirname = "ZPlusJets_QG%s" % (gr_append)
dj_cen_dirname = "Dijet_QG_central_tighter%s" % (gr_append)
dj_fwd_dirname = "Dijet_QG_forward_tighter%s" % (gr_append)
# Gen Jets from gen selection
zpj_dirname = "ZPlusJets_QG_gen%s" % (gr_append)
dj_cen_dirname = "Dijet_QG_gen_central%s" % (gr_append)
dj_fwd_dirname = "Dijet_QG_gen_forward%s" % (gr_append)
for ang in var_list[:]:
print("...Doing", ang.name)
var_template = "{prefix}%s_vs_pt" % (ang.var
) # {prefix} is for flavour
for pt_ind, (start_val, end_val) in enumerate(pt_bins):
zpj_entries = []
dijet_cen_entries = []
dijet_fwd_entries = []
# Get all plots
lw = 2
msize = 1.1
mc_msize = 1E-3 # small enough to not be seen but not 0 - otherwise the horizontal lines on error bars don't get drawn
mc_msize = msize # small enough to not be seen but not 0 - otherwise the horizontal lines on error bars don't get drawn
flavours_dicts = [
{
"prefix": "q",
"label": "u/d/s"
},
{
"prefix": "g",
"label": "g"
},
{
"prefix": "bc",
"label": "b/c"
},
]
if dy_tfile:
# Z+JETS REGION
marker = cu.Marker(qgc.DY_MARKER)
for flav_dict, color, mark in zip(flavours_dicts,
qgc.DY_COLOURS,
marker.cycle()):
h2d_dyj_mc = dy_tfile.get(
"%s/%s" %
(zpj_dirname, var_template.format(**flav_dict)))
dy_kwargs_mc = dict(line_color=color,
line_width=lw,
fill_color=color,
marker_color=color,
marker_style=mark,
marker_size=mc_msize,
label="%s flavour" %
(flav_dict['label']),
subplot=None)
zpj_entries.append(
(qgp.get_projection_plot(h2d_dyj_mc, start_val,
end_val), dy_kwargs_mc))
if qcd_tfile:
# DIJET CENTRAL REGION
marker = cu.Marker(qgc.QCD_MARKER)
for flav_dict, color, mark in zip(flavours_dicts,
qgc.QCD_COLOURS,
marker.cycle()):
h2d_qcd_cen_mc = qcd_tfile.get(
"%s/%s" %
(dj_cen_dirname, var_template.format(**flav_dict)))
qcd_cen_kwargs_mc = dict(line_color=color,
line_width=lw,
fill_color=color,
marker_color=color,
marker_style=mark,
marker_size=mc_msize,
label="%s flavour" %
(flav_dict['label']),
subplot=None)
dijet_mgpy_hist = qgp.get_projection_plot(
h2d_qcd_cen_mc, start_val, end_val)
dijet_cen_entries.append(
(dijet_mgpy_hist, qcd_cen_kwargs_mc))
# DIJET FORWARD REGION
marker = cu.Marker(qgc.QCD_MARKER)
for flav_dict, color, mark in zip(flavours_dicts,
qgc.QCD_COLOURS,
marker.cycle()):
h2d_qcd_fwd_mc = qcd_tfile.get(
"%s/%s" %
(dj_fwd_dirname, var_template.format(**flav_dict)))
qcd_fwd_kwargs_mc = dict(line_color=color,
line_width=lw,
fill_color=color,
marker_color=color,
marker_style=mark,
marker_size=mc_msize,
label="%s flavour" %
(flav_dict['label']),
subplot=None)
dijet_mgpy_hist = qgp.get_projection_plot(
h2d_qcd_fwd_mc, start_val, end_val)
dijet_fwd_entries.append(
(dijet_mgpy_hist, qcd_fwd_kwargs_mc))
#################
# SETUP PLOTTING
#################
rebin = 2
v_lower = var_template.lower()
if "multiplicity" in v_lower:
rebin = 1
# elif "flavour" in v_lower or "thrust" in v_lower:
# rebin = 1
# elif 'ptd' in v_lower:
# rebin = 4
# elif 'lha_charged' in v_lower:
# rebin = 4
# rebin = 1
xlim = None
if "width" in v_lower or "ptd" in v_lower:
xlim = (0, 1)
elif "thrust" in v_lower:
xlim = (0, 0.5)
# elif "multiplicity" in v_lower and "ak4" in root_dir.lower():
# if end_val <= 150:
# xlim = (0, 50)
# else:
# xlim = (0, 80)
auto_xlim = False
if "multiplicity" in v_lower or "thrust" in v_lower:
auto_xlim = True
ylim = [0, None]
if "flavour" in v_lower:
ylim = (0, 1)
# elif "lha" in v_lower:
# ylim = (0, 5)
plot_dir = os.path.join(
root_dir,
"plots_gen_lambda_flav_comparison%s" % (gr_append))
subplot_title = "Simulation / Data"
subplot_limits = (0, 2)
xlabel = ang.name + " (" + ang.lambda_str + ")"
if gr_append is not "":
xlabel = "Groomed " + ang.name + " (" + ang.lambda_str + ")"
def _title(region_str, start_val, end_val):
pt_var_str = "p_{T}^{jet}"
s = (("{jet_algo}\n"
"{region_label}\n"
"{mc_sample}\n"
"{bin_edge_low:g} < {pt_str} < {bin_edge_high:g} GeV"
).format(jet_algo=jet_str,
region_label=region_str,
mc_sample="MG5+Pythia8",
pt_str=pt_var_str,
bin_edge_low=start_val,
bin_edge_high=end_val))
return s
has_data = False
draw_opt = "NOSTACK HIST E1"
# dj central only
# dont' try to do multiple signal regions per plot, it looks rubbish
if len(dijet_cen_entries) > 0:
qgp.do_comparison_plot(
dijet_cen_entries,
"%s/ptBinned/%s_pt%dto%d_dijet_central.%s" %
(plot_dir, ang.var, start_val, end_val, OUTPUT_FMT),
rebin=rebin,
draw_opt=draw_opt,
title=_title(qgc.Dijet_CEN_LABEL, start_val, end_val),
xtitle=xlabel,
xlim='auto' if auto_xlim else
xlim, # don't use calc_auto_xlim, since do_comparison_plot will rebin it anyway
ylim=ylim,
data_first=has_data,
mean_rel_error=0.4,
subplot_type=None,
lumi=cu.get_lumi_str(
do_dijet=False,
do_zpj=True)) # full lumi as just MC
# dj forward only
if len(dijet_fwd_entries) > 0:
qgp.do_comparison_plot(
dijet_fwd_entries,
"%s/ptBinned/%s_pt%dto%d_dijet_forward.%s" %
(plot_dir, ang.var, start_val, end_val, OUTPUT_FMT),
rebin=rebin,
draw_opt=draw_opt,
title=_title(qgc.Dijet_FWD_LABEL, start_val, end_val),
xtitle=xlabel,
xlim='auto' if auto_xlim else xlim,
ylim=ylim,
data_first=has_data,
mean_rel_error=0.4,
subplot_type=None,
lumi=cu.get_lumi_str(
do_dijet=False,
do_zpj=True)) # full lumi as just MC
# zpj only
if len(zpj_entries) > 0:
if start_val > 149:
# rebin *= 2
rebin += 1
# find nearest divisor
while (zpj_entries[0][0].GetNbinsX() % rebin != 0):
rebin += 1
if "multiplicity" in v_lower:
if start_val > 300:
rebin += 1
# find nearest divisor
while (zpj_entries[0][0].GetNbinsX() % rebin != 0):
rebin += 1
qgp.do_comparison_plot(
zpj_entries,
"%s/ptBinned/%s_pt%dto%d_zpj.%s" %
(plot_dir, ang.var, start_val, end_val, OUTPUT_FMT),
rebin=rebin,
draw_opt=draw_opt,
title=_title(qgc.ZpJ_LABEL, start_val, end_val),
xtitle=xlabel,
xlim=qgp.calc_auto_xlim([d[0] for d in zpj_entries])
if auto_xlim else xlim,
ylim=ylim,
data_first=has_data,
mean_rel_error=0.4,
subplot_type=None,
lumi=cu.get_lumi_str(do_dijet=False, do_zpj=True))
ROOT.gROOT.SetBatch(1)
ROOT.TH1.SetDefaultSumw2()
ROOT.gStyle.SetOptStat(0)
ROOT.gErrorIgnoreLevel = ROOT.kWarning
# Control plot output format
OUTPUT_FMT = "pdf"
if __name__ == "__main__":
NO_SF_DIR = "workdir_ak4puppi_data_trigBinningBetter2_jetAsymCut_pt1RecoConstituents_V11JEC_JER_tUnfoldBetter_target0p5_wta_groomed_fwdcenDijet_Zreweight_noZjet2Cut_newBinningFixed"
NOMINAL_SF_DIR = "workdir_ak4puppi_data_trigBinningBetter2_jetAsymCut_pt1RecoConstituents_V11JEC_JER_tUnfoldBetter_target0p5_wta_groomed_fwdcenDijet_Zreweight_noZjet2Cut_newBinningFixed_trkSFMyFormula"
SF_UP_DIR = "workdir_ak4puppi_data_trigBinningBetter2_jetAsymCut_pt1RecoConstituents_V11JEC_JER_tUnfoldBetter_target0p5_wta_groomed_fwdcenDijet_Zreweight_noZjet2Cut_newBinningFixed_trkSFMyFormula/systematics_files/track_directionUp"
SF_DOWN_DIR = "workdir_ak4puppi_data_trigBinningBetter2_jetAsymCut_pt1RecoConstituents_V11JEC_JER_tUnfoldBetter_target0p5_wta_groomed_fwdcenDijet_Zreweight_noZjet2Cut_newBinningFixed_trkSFMyFormula/systematics_files/track_directionDown"
QCD_NO_SF_TFILE = cu.TFileCacher(os.path.join(NO_SF_DIR, qgc.QCD_FILENAME))
QCD_NOMINAL_SF_TFILE = cu.TFileCacher(
os.path.join(NOMINAL_SF_DIR, qgc.QCD_FILENAME))
QCD_SF_UP_TFILE = cu.TFileCacher(os.path.join(SF_UP_DIR, qgc.QCD_FILENAME))
QCD_SF_DOWN_TFILE = cu.TFileCacher(
os.path.join(SF_DOWN_DIR, qgc.QCD_FILENAME))
DY_NO_SF_TFILE = cu.TFileCacher(os.path.join(NO_SF_DIR, qgc.DY_FILENAME))
DY_NOMINAL_SF_TFILE = cu.TFileCacher(
os.path.join(NOMINAL_SF_DIR, qgc.DY_FILENAME))
DY_SF_UP_TFILE = cu.TFileCacher(os.path.join(SF_UP_DIR, qgc.DY_FILENAME))
DY_SF_DOWN_TFILE = cu.TFileCacher(
os.path.join(SF_DOWN_DIR, qgc.DY_FILENAME))
# QG variable plots
pt_bins = qgc.PT_BINS[:]
if not first_drawing:
draw_opt += " SAME"
merged_hist.Draw(draw_opt)
first_drawing = False
leg_entries.append([merged_hist, 'Combined inclusive + high pT'])
leg = create_legend(leg_entries)
leg.Draw()
c.SaveAs(output_filename)
return c
if __name__ == "__main__":
workdir = "workdir_ak4puppi_data_target0p5_ZReweight_wta_groomed_fwdcenDijet_betterLargeWeightVeto_noPtHatCut_noPtReweight_noZjet2Cut_zPt30_trkSF_wtaAK_fixPrescales_sameGenCuts"
tfile_incl = cu.TFileCacher(os.path.join(workdir, qgc.DY_HERWIG_INCL_FILENAME))
tfile_low_pt = cu.TFileCacher(os.path.join(workdir, qgc.DY_HERWIG_LOW_PT_FILENAME))
tfile_high_pt = cu.TFileCacher(os.path.join(workdir, qgc.DY_HERWIG_HIGH_PT_FILENAME))
# tfile_merged = cu.TFileCacher(os.path.join(workdir, qgc.DY_HERWIG_LOW_HIGH_PT_FILENAME))
plot_dir = os.path.join(workdir, "PartonKtMin300")
if not os.path.isdir(plot_dir):
os.makedirs(plot_dir)
# q scale plot
qscale_name = "ZPlusJets_gen/q_scale"
h_qscale_incl = tfile_incl.Get(qscale_name)
style_incl_hist(h_qscale_incl)
h_qscale_low_pt = tfile_low_pt.Get(qscale_name)
style_low_pt_hist(h_qscale_low_pt)
h_qscale_high_pt = tfile_high_pt.Get(qscale_name)
def do_plots(root_dir, title):
# QG variable plots
pt_bins = qgc.PT_BINS[:]
print(pt_bins)
var_list = qgc.COMMON_VARS
var_prepend = ""
radius, pus = cu.get_jet_config_from_dirname(root_dir)
jet_str = "AK%s PF %s" % (radius.upper(), pus.upper())
if radius == "8":
pt_bins = qgc.PT_BINS[2:]
print(pt_bins)
single_mu_tfile = cu.TFileCacher(os.path.join(root_dir, qgc.SINGLE_MU_FILENAME))
dy_tfile = cu.TFileCacher(os.path.join(root_dir, qgc.DY_FILENAME))
dy_hpp_tfile = cu.TFileCacher(os.path.join(root_dir, qgc.DY_HERWIG_FILENAME))
jetht_zb_tfile = cu.TFileCacher(os.path.join(root_dir, qgc.JETHT_ZB_FILENAME))
qcd_tfile = cu.TFileCacher(os.path.join(root_dir, qgc.QCD_FILENAME))
qcd_hpp_tfile = cu.TFileCacher(os.path.join(root_dir, qgc.QCD_HERWIG_FILENAME))
for gr_append in ["", "_groomed"]:
if gr_append == "_groomed":
print("Doing groomed plots...")
else:
print("Doing ungroomed plots...")
zpj_dirname = "ZPlusJets_QG%s" % (gr_append)
dj_cen_dirname = "Dijet_QG_central_tighter%s" % (gr_append)
dj_fwd_dirname = "Dijet_QG_forward_tighter%s" % (gr_append)
for ang in var_list[:]:
print("...Doing", ang.name)
v = "%s%s_vs_pt" % (var_prepend, ang.var)
zpj_2d_entries = []
dijet_cen_2d_entries = []
dijet_fwd_2d_entries = []
zpj_1d_entries = []
dijet_cen_1d_entries = []
dijet_fwd_1d_entries = []
for pt_ind, (start_val, end_val) in enumerate(pt_bins):
entries = []
zpj_entries = []
dijet_cen_entries = []
dijet_fwd_entries = []
# Get all plots
lw = 2
msize = 1.1
data_line_width = lw
mc_msize = 1E-3 # small enough to not be seen but not 0 - otherwise the horizontal lines on error bars don't get drawn
mgpy_label = "MG5+Pythia8"
hpp_label = "Herwig++"
####################
# Z+JETS REGION
####################
# SINGLE MU DATA
if single_mu_tfile:
h2d_dyj_data = single_mu_tfile.get("%s/%s" % (zpj_dirname, v))
dy_kwargs_data = dict(line_color=qgc.SINGLE_MU_COLOUR, line_width=data_line_width, fill_color=qgc.SINGLE_MU_COLOUR,
marker_color=qgc.SINGLE_MU_COLOUR, marker_style=cu.Marker.get(qgc.DY_MARKER), marker_size=msize*0.7,
label="Data")
zpj_data_hist = qgp.get_projection_plot(h2d_dyj_data, start_val, end_val)
entries.append((zpj_data_hist, dy_kwargs_data))
zpj_entries.append((zpj_data_hist, dy_kwargs_data))
if pt_ind == 0:
zpj_2d_entries.append((h2d_dyj_data, dy_kwargs_data))
# PYTHIA DY MC
if dy_tfile:
h2d_dyj_mc = dy_tfile.get("%s/%s" % (zpj_dirname, v))
dy_kwargs_mc = dict(line_color=qgc.DY_COLOUR, line_width=lw, fill_color=qgc.DY_COLOUR,
marker_color=qgc.DY_COLOUR, marker_style=cu.Marker.get(qgc.DY_MARKER), marker_size=mc_msize,
label=mgpy_label,
subplot=zpj_data_hist)
entries.append((qgp.get_projection_plot(h2d_dyj_mc, start_val, end_val), dy_kwargs_mc))
zpj_entries.append((qgp.get_projection_plot(h2d_dyj_mc, start_val, end_val), dy_kwargs_mc))
if pt_ind == 0:
zpj_2d_entries.append((h2d_dyj_mc, dy_kwargs_mc))
# HERWIG++ DY
if dy_hpp_tfile:
h2d_dyj_mc_hpp = dy_hpp_tfile.get("%s/%s" % (zpj_dirname, v))
col_hpp = qgc.DY_COLOURS[2]
dy_kwargs_mc_hpp = dict(line_color=col_hpp, line_width=lw, fill_color=col_hpp,
marker_color=col_hpp, marker_style=cu.Marker.get(qgc.DY_MARKER), marker_size=mc_msize,
label=hpp_label,
subplot=zpj_data_hist)
entries.append((qgp.get_projection_plot(h2d_dyj_mc_hpp, start_val, end_val), dy_kwargs_mc_hpp))
zpj_entries.append((qgp.get_projection_plot(h2d_dyj_mc_hpp, start_val, end_val), dy_kwargs_mc_hpp))
if pt_ind == 0:
zpj_2d_entries.append((h2d_dyj_mc_hpp, dy_kwargs_mc_hpp))
# MG+HERWIG++ DY
# if end_val < 151:
# h2d_dyj_mc3 = get("%s/%s" % (zpj_dirname, v))
# col4 = qgc.DY_COLOURS[3]
# dy_kwargs_mc3 = dict(line_color=col4, line_width=lw, fill_color=col4,
# marker_color=col4, marker_style=cu.Marker.get(qgc.DY_MARKER), marker_size=0,
# label="MG+Herwig++",
# subplot=zpj_data_hist)
# entries.append((qgp.get_projection_plot(h2d_dyj_mc3, start_val, end_val), dy_kwargs_mc3))
# zpj_entries.append((qgp.get_projection_plot(h2d_dyj_mc3, start_val, end_val), dy_kwargs_mc3))
# if pt_ind == 0:
# zpj_2d_entries.append((h2d_dyj_mc3, dy_kwargs_mc3))
# else:
# zpj_entries.append(None)
####################
# DIJET CENTRAL REGION
####################
# JETHT/ZEROBIAS DATA
if jetht_zb_tfile:
h2d_qcd_cen_data = jetht_zb_tfile.get("%s/%s" % (dj_cen_dirname, v)) # use already merged jetht+zb
qcd_cen_kwargs_data = dict(line_color=qgc.JETHT_COLOUR, line_width=data_line_width, fill_color=qgc.JETHT_COLOUR,
marker_color=qgc.JETHT_COLOUR, marker_style=cu.Marker.get(qgc.QCD_MARKER), marker_size=msize,
label="Data")
dijet_cen_data_hist = qgp.get_projection_plot(h2d_qcd_cen_data, start_val, end_val)
entries.append((dijet_cen_data_hist, qcd_cen_kwargs_data))
dijet_cen_entries.append((dijet_cen_data_hist, qcd_cen_kwargs_data))
if pt_ind == 0:
dijet_cen_2d_entries.append((h2d_qcd_cen_data, qcd_cen_kwargs_data))
# MG+PYTHIA QCD MC
if qcd_tfile:
h2d_qcd_cen_mc = qcd_tfile.get("%s/%s" % (dj_cen_dirname, v))
qcd_cen_kwargs_mc = dict(line_color=qgc.QCD_COLOUR, line_width=lw, fill_color=qgc.QCD_COLOUR,
marker_color=qgc.QCD_COLOUR, marker_style=cu.Marker.get(qgc.QCD_MARKER), marker_size=mc_msize,
label=mgpy_label,
subplot=dijet_cen_data_hist)
dijet_mgpy_hist = qgp.get_projection_plot(h2d_qcd_cen_mc, start_val, end_val)
entries.append((dijet_mgpy_hist, qcd_cen_kwargs_mc))
dijet_cen_entries.append((dijet_mgpy_hist, qcd_cen_kwargs_mc))
if pt_ind == 0:
dijet_cen_2d_entries.append((h2d_qcd_cen_mc, qcd_cen_kwargs_mc))
# PYTHIA ONLY
# if qcd_py_tfile:
# col = qgc.QCD_COLOURS[2]
# h2d_qcd_cen_mc2 = qcd_py_tfile.get("%s/%s" % (dj_cen_dirname, v))
# qcd_cen_kwargs_mc2 = dict(line_color=col, line_width=lw, fill_color=col,
# marker_color=col, marker_style=cu.Marker.get(qgc.QCD_MARKER), marker_size=mc_msize,
# label="Pythia8",
# subplot=dijet_cen_data_hist)
# entries.append((qgp.get_projection_plot(h2d_qcd_cen_mc2, start_val, end_val), qcd_cen_kwargs_mc2))
# dijet_cen_entries.append((qgp.get_projection_plot(h2d_qcd_cen_mc2, start_val, end_val), qcd_cen_kwargs_mc2))
# if pt_ind == 0:
# dijet_cen_2d_entries.append((h2d_qcd_cen_mc2, qcd_cen_kwargs_mc2))
# HERWIG++ QCD
if qcd_hpp_tfile:
h2d_qcd_cen_mc_hpp = qcd_hpp_tfile.get("%s/%s" % (dj_cen_dirname, v))
qcd_cen_kwargs_mc_hpp = dict(line_color=qgc.HERWIGPP_QCD_COLOUR, line_width=lw, fill_color=qgc.HERWIGPP_QCD_COLOUR,
marker_color=qgc.HERWIGPP_QCD_COLOUR, marker_style=cu.Marker.get(qgc.QCD_MARKER), marker_size=mc_msize,
label=hpp_label,
subplot=dijet_cen_data_hist)
dijet_hpp_hist = qgp.get_projection_plot(h2d_qcd_cen_mc_hpp, start_val, end_val)
entries.append((dijet_hpp_hist, qcd_cen_kwargs_mc_hpp))
dijet_cen_entries.append((dijet_hpp_hist, qcd_cen_kwargs_mc_hpp))
if pt_ind == 0:
dijet_cen_2d_entries.append((h2d_qcd_cen_mc_hpp, qcd_cen_kwargs_mc_hpp))
####################
# DIJET FORWARD REGION
####################
# JETHT/ZEROBIAS DATA
if jetht_zb_tfile:
h2d_qcd_fwd_data = jetht_zb_tfile.get("%s/%s" % (dj_fwd_dirname, v)) # use already merged jetht+zb
qcd_fwd_kwargs_data = dict(line_color=qgc.JETHT_COLOUR, line_width=data_line_width, fill_color=qgc.JETHT_COLOUR,
marker_color=qgc.JETHT_COLOUR, marker_style=cu.Marker.get('triangleDown'), marker_size=msize,
label="Data")
dijet_fwd_data_hist = qgp.get_projection_plot(h2d_qcd_fwd_data, start_val, end_val)
entries.append((dijet_fwd_data_hist, qcd_fwd_kwargs_data))
dijet_fwd_entries.append((dijet_fwd_data_hist, qcd_fwd_kwargs_data))
if pt_ind == 0:
dijet_fwd_2d_entries.append((h2d_qcd_fwd_data, qcd_fwd_kwargs_data))
# MG+PYTHIA QCD MC
if qcd_tfile:
h2d_qcd_fwd_mc = qcd_tfile.get("%s/%s" % (dj_fwd_dirname, v))
qcd_fwd_kwargs_mc = dict(line_color=qgc.QCD_COLOUR, line_width=lw, fill_color=qgc.QCD_COLOUR,
marker_color=qgc.QCD_COLOUR, marker_style=cu.Marker.get(qgc.QCD_MARKER), marker_size=mc_msize,
label=mgpy_label,
subplot=dijet_fwd_data_hist)
dijet_mgpy_hist = qgp.get_projection_plot(h2d_qcd_fwd_mc, start_val, end_val)
entries.append((dijet_mgpy_hist, qcd_fwd_kwargs_mc))
dijet_fwd_entries.append((dijet_mgpy_hist, qcd_fwd_kwargs_mc))
if pt_ind == 0:
dijet_fwd_2d_entries.append((h2d_qcd_fwd_mc, qcd_fwd_kwargs_mc))
# PYTHIA ONLY
# if qcd_py_tfile:
# col = qgc.QCD_COLOURS[2]
# h2d_qcd_fwd_mc2 = qcd_py_tfile.get("%s/%s" % (dj_fwd_dirname, v))
# qcd_fwd_kwargs_mc2 = dict(line_color=col, line_width=lw, fill_color=col,
# marker_color=col, marker_style=cu.Marker.get(qgc.QCD_MARKER), marker_size=mc_msize,
# label="Pythia8",
# subplot=dijet_fwd_data_hist)
# entries.append((qgp.get_projection_plot(h2d_qcd_fwd_mc2, start_val, end_val), qcd_fwd_kwargs_mc2))
# dijet_fwd_entries.append((qgp.get_projection_plot(h2d_qcd_fwd_mc2, start_val, end_val), qcd_fwd_kwargs_mc2))
# if pt_ind == 0:
# dijet_fwd_2d_entries.append((h2d_qcd_fwd_mc2, qcd_fwd_kwargs_mc2))
# HERWIG++ QCD
if qcd_hpp_tfile:
h2d_qcd_fwd_mc_hpp = qcd_hpp_tfile.get("%s/%s" % (dj_fwd_dirname, v))
qcd_fwd_kwargs_mc_hpp = dict(line_color=qgc.HERWIGPP_QCD_COLOUR, line_width=lw, fill_color=qgc.HERWIGPP_QCD_COLOUR,
marker_color=qgc.HERWIGPP_QCD_COLOUR, marker_style=cu.Marker.get(qgc.QCD_MARKER), marker_size=mc_msize,
label=hpp_label,
subplot=dijet_fwd_data_hist)
dijet_hpp_hist = qgp.get_projection_plot(h2d_qcd_fwd_mc_hpp, start_val, end_val)
entries.append((dijet_hpp_hist, qcd_fwd_kwargs_mc_hpp))
dijet_fwd_entries.append((dijet_hpp_hist, qcd_fwd_kwargs_mc_hpp))
if pt_ind == 0:
dijet_fwd_2d_entries.append((h2d_qcd_fwd_mc_hpp, qcd_fwd_kwargs_mc_hpp))
zpj_1d_entries.append(zpj_entries)
dijet_cen_1d_entries.append(dijet_cen_entries)
dijet_fwd_1d_entries.append(dijet_fwd_entries)
#################
# SETUP PLOTTING
#################
rebin = 2
v_lower = v.lower()
if "multiplicity" in v_lower:
rebin = 1
# elif "flavour" in v_lower or "thrust" in v_lower:
# rebin = 1
# elif 'ptd' in v_lower:
# rebin = 4
# elif 'lha_charged' in v_lower:
# rebin = 4
# rebin = 1
xlim = None
if "width" in v_lower or "ptd" in v_lower:
xlim = (0, 1)
elif "thrust" in v_lower:
xlim = (0, 0.5)
# elif "multiplicity" in v_lower and "ak4" in root_dir.lower():
# if end_val <= 150:
# xlim = (0, 50)
# else:
# xlim = (0, 80)
auto_xlim = False
if "multiplicity" in v_lower or "thrust" in v_lower:
auto_xlim = True
ylim = [0, None]
if "flavour" in v_lower:
ylim = (0, 1)
# elif "lha" in v_lower:
# ylim = (0, 5)
plot_dir = os.path.join(root_dir, "plots_lambda_mc_vs_data%s" % (gr_append))
subplot_title = "Simulation / Data"
subplot_limits = (0, 2)
xlabel = ang.name + " (" + ang.lambda_str + ")"
if gr_append is not "":
xlabel = "Groomed " + ang.name + " (" + ang.lambda_str + ")"
def _title(region_str, start_val, end_val):
pt_var_str = "p_{T}^{jet}"
s = (("{jet_algo}\n"
"{region_label}\n"
"{bin_edge_low:g} < {pt_str} < {bin_edge_high:g} GeV")
.format(
jet_algo=jet_str,
region_label=region_str,
pt_str=pt_var_str,
bin_edge_low=start_val,
bin_edge_high=end_val))
if title is not None:
s = "%s\n%s" % (s, title)
return s
has_data = True
draw_opt = "NOSTACK HIST E1"
# dj central only
# dont' try to do multiple signal regions per plot, it looks rubbish
if len(dijet_cen_entries) > 0:
qgp.do_comparison_plot(dijet_cen_entries,
"%s/ptBinned/%s_pt%dto%d_dijet_central.%s" % (plot_dir, v, start_val, end_val, OUTPUT_FMT),
rebin=rebin,
draw_opt=draw_opt,
title=_title(qgc.Dijet_CEN_LABEL, start_val, end_val),
xtitle=xlabel,
xlim='auto' if auto_xlim else xlim, # don't use calc_auto_xlim, since do_comparison_plot will rebin it anyway
ylim=ylim,
data_first=has_data,
mean_rel_error=0.4,
subplot_type='ratio',
subplot_title=subplot_title,
subplot_limits=subplot_limits,
lumi=cu.get_lumi_str(do_dijet=True, do_zpj=False))
# dj forward only
if len(dijet_fwd_entries) > 0:
qgp.do_comparison_plot(dijet_fwd_entries,
"%s/ptBinned/%s_pt%dto%d_dijet_forward.%s" % (plot_dir, v, start_val, end_val, OUTPUT_FMT),
rebin=rebin,
draw_opt=draw_opt,
title=_title(qgc.Dijet_FWD_LABEL, start_val, end_val),
xtitle=xlabel,
xlim='auto' if auto_xlim else xlim,
ylim=ylim,
data_first=has_data,
mean_rel_error=0.4,
subplot_type='ratio',
subplot_title=subplot_title,
subplot_limits=subplot_limits,
lumi=cu.get_lumi_str(do_dijet=True, do_zpj=False))
# zpj only
if len(zpj_entries) > 0:
if start_val > 149:
# rebin *= 2
rebin += 1
# find nearest divisor
while (zpj_entries[0][0].GetNbinsX() % rebin != 0):
rebin += 1
if "multiplicity" in v_lower:
if start_val > 300:
rebin += 1
# find nearest divisor
while (zpj_entries[0][0].GetNbinsX() % rebin != 0):
rebin += 1
qgp.do_comparison_plot(zpj_entries,
"%s/ptBinned/%s_pt%dto%d_zpj.%s" % (plot_dir, v, start_val, end_val, OUTPUT_FMT),
rebin=rebin,
draw_opt=draw_opt,
title=_title(qgc.ZpJ_LABEL, start_val, end_val),
xtitle=xlabel,
xlim=qgp.calc_auto_xlim([d[0] for d in zpj_entries]) if auto_xlim else xlim,
ylim=ylim,
data_first=has_data,
mean_rel_error=0.4,
subplot_type='ratio',
subplot_title=subplot_title,
subplot_limits=subplot_limits,
lumi=cu.get_lumi_str(do_dijet=False, do_zpj=True))
# Do overall summary plots across all pt bins
# ------------------------------------------------------------------
ylim_mean = None
if "width" in v_lower or "ptd" in v_lower:
ylim_mean = (0, 0.4)
elif"thrust" in v_lower:
ylim_mean = (0, 0.5)
elif "multiplicity" in v_lower and "ak4" in root_dir.lower():
ylim_mean = (0, 100)
ylim_mean = (0, 80)
if end_val < 150:
ylim_mean = (0, 50)
ylim_mean=None
ylim_rms=None
# Setup variable names for MPL
marker = ""
if "_" in ang.name or "^" in ang.name:
marker = "$"
var_label = marker + ang.name + marker + " ($%s$)" % ang.lambda_str
if gr_append != "":
var_label = "Groomed " + marker + ang.name + marker + " ($%s$)" % ang.lambda_str
# construct a dataframe from the hists
# df = construct_dataframe_from_hists(dijet_cen_entries=dijet_cen_1d_entries,
# dijet_fwd_entries=dijet_fwd_entries,
# zpj_entries=zpj_entries)
# pt_low = 88 if "8" in radius else 50
pt_low = pt_bins[0][0]
qgp.do_mean_rms_summary_plot(dijet_cen_1d_entries,
pt_bins,
"%s/ptBinned/%s_box_dijet_cen_mpl.%s" % (plot_dir, v, OUTPUT_FMT),
var_label=var_label,
xlim=(pt_low, 4000),
ylim_mean=ylim_mean,
ylim_rms=ylim_rms,
region_title="%s jets in %s" % (jet_str, qgc.Dijet_CEN_LABEL.lower()))
qgp.do_mean_rms_summary_plot(dijet_fwd_1d_entries,
pt_bins,
"%s/ptBinned/%s_box_dijet_fwd_mpl.%s" % (plot_dir, v, OUTPUT_FMT),
var_label=var_label,
xlim=(pt_low, 4000),
ylim_mean=ylim_mean,
ylim_rms=ylim_rms,
region_title="%s jets in %s" % (jet_str, qgc.Dijet_FWD_LABEL.lower()))
# zpj_1d_entries[i][j] is the jth sample in the ith pt bin
qgp.do_mean_rms_summary_plot(zpj_1d_entries,
pt_bins,
"%s/ptBinned/%s_box_zpj_mpl.%s" % (plot_dir, v, OUTPUT_FMT),
var_label=var_label,
xlim=(pt_low, 800),
ylim_mean=ylim_mean,
ylim_rms=ylim_rms,
region_title="%s jets in %s" % (jet_str, qgc.ZpJ_LABEL))
plot.set_logy(do_more_labels=False)
plot.save(output_filename)
ROOT.gStyle.SetPalette(ROOT.kViridis)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("source", help="Source file")
parser.add_argument("--outputDir",
help="Output dir (default is source dir)")
args = parser.parse_args()
if not os.path.isfile(args.source):
raise IOError("source file doesn't exist")
in_tfile = cu.TFileCacher(args.source)
is_data = '.DATA.' in os.path.basename(args.source)
if is_data:
print("This script is only useful for MC files, exiting")
exit()
is_dijet = '_QCD.root' in os.path.basename(args.source)
if not args.outputDir:
in_dir = os.path.dirname(args.source)
args.outputDir = os.path.join(in_dir, 'pf_matching_plots')
if is_dijet:
args.outputDir += "_dijet"
else:
args.outputDir += "_zpj"
