def plot_proj_both(frame2, frame_east, frame_west, adc_bin, adc_min, adc_max,
ptmax, mmin, mmax):
can = ut.box_canvas(800, 700) #900, 700
xp = Double(0)
yp = Double(0)
#east data on the left
hEast = frame_east.getHist("data")
plot_east = frame2.Clone("plot_east")
plot_east.SetMarkerStyle(22)
plot_east.SetMarkerSize(1.4)
ut.set_H1D_col(plot_east, rt.kBlue)
for ibin in xrange(hEast.GetN()):
hEast.GetPoint(ibin, xp, yp)
plot_east.SetBinContent(ibin + 1, yp)
plot_east.SetBinError(ibin + 1, hEast.GetErrorY(ibin))
frame2.SetMaximum(1.2 * plot_east.GetMaximum()) # 1.15
#west data on the right
hWest = frame_west.getHist("data")
plot_west = frame2.Clone("plot_west")
plot_west.SetMarkerStyle(21)
ut.set_H1D_col(plot_west, rt.kRed)
for i in xrange(hWest.GetN()):
hWest.GetPoint(i, xp, yp)
ibin = frame2.GetNbinsX() - i
plot_west.SetBinContent(ibin, yp)
plot_west.SetBinError(ibin, hWest.GetErrorY(i))
#east fit
cEast = frame_east.getCurve("model")
gEast = TGraph(cEast.GetN() - 1)
for i in xrange(cEast.GetN() - 1):
cEast.GetPoint(i, xp, yp)
gEast.SetPoint(i, xp, yp)
gEast.SetLineColor(rt.kBlue)
gEast.SetLineWidth(3)
gEast.SetLineStyle(rt.kDashed)
#gEast.SetLineStyle(rt.kDashDotted)
#west fit on the left
cWest = frame_west.getCurve("model")
gWest = TGraph(cWest.GetN() - 1)
xmax = frame2.GetBinCenter(
frame2.GetNbinsX()) + frame2.GetBinWidth(frame2.GetNbinsX()) / 2.
for i in xrange(cWest.GetN() - 1):
cWest.GetPoint(i, xp, yp)
xplot = xmax - xp
gWest.SetPoint(i, xplot, yp)
gWest.SetLineColor(rt.kRed)
gWest.SetLineWidth(3)
#gWest.SetLineStyle(rt.kDashDotted)
#gWest.SetLineStyle(rt.kDashed)
#horizontal axis
frame2.SetMinimum(0)
#frame2.SetMinimum(0.98)
frame2.GetXaxis().SetNdivisions(0, rt.kFALSE)
#east axis
ypos = frame2.GetYaxis().GetXmin()
axisE = TGaxis(adc_min, ypos, adc_max, ypos, adc_min, adc_max)
ut.set_axis(axisE)
axisE.SetWmin(axisE.GetWmin() * 0.01)
axisE.SetWmax(axisE.GetWmax() * 0.01)
axisE.SetTitle("ZDC East #times100")
axisE.SetTitleOffset(1.1)
#west axis
xpos = frame2.GetXaxis().GetXmax()
axisW = TGaxis(xpos, ypos, xpos - adc_max, ypos, adc_min, adc_max, 510,
"-")
ut.set_axis(axisW)
axisW.SetWmin(axisW.GetWmin() * 0.01)
axisW.SetWmax(axisW.GetWmax() * 0.01)
axisW.SetLabelOffset(-0.024)
axisW.SetTitle("ZDC West #times100")
axisW.SetTitleOffset(1.1)
#vertical axis
yvpos = 1. * frame2.GetMaximum()
axisV = TGaxis(xpos, 0, xpos, yvpos, 0, yvpos, 510, "+L")
#axisV = TGaxis(xpos, 0, xpos, yvpos, 0.98, yvpos, 510, "+G")
ut.set_axis(axisV)
frame2.SetYTitle("ZDC East / ({0:.0f} ADC units)".format(adc_bin))
axisV.SetTitle("ZDC West / ({0:.0f} ADC units)".format(adc_bin))
frame2.GetYaxis().SetTitleOffset(1.5)
axisV.SetTitleOffset(1.5)
gPad.SetTopMargin(0.05) # 0.01
gPad.SetRightMargin(0.1)
gPad.SetBottomMargin(0.08)
gPad.SetLeftMargin(0.1)
frame2.Draw()
plot_east.Draw("e1same")
plot_west.Draw("e1same")
gEast.Draw("lsame")
gWest.Draw("lsame")
axisE.Draw()
axisW.Draw()
axisV.Draw()
#kinematics legend
#kleg = ut.prepare_leg(0.16, 0.78, 0.32, 0.2, 0.035)
kleg = ut.prepare_leg(0.16, 0.73, 0.32, 0.2, 0.035)
kleg.AddEntry(None, "AuAu@200 GeV", "")
kleg.AddEntry(None, "UPC sample", "")
ut.add_leg_pt_mass(kleg, ptmax, mmin, mmax)
kleg.Draw("same")
#data legend
dleg = ut.prepare_leg(0.6, 0.8, 0.15, 0.08, 0.03)
dleg.AddEntry(plot_east, "ZDC East", "p")
dleg.AddEntry(plot_west, "ZDC West", "p")
#dleg.Draw("same")
#projections legend
#pleg = ut.prepare_leg(0.24, 0.56, 0.25, 0.2, 0.035)
pleg = ut.prepare_leg(0.24, 0.51, 0.25, 0.2, 0.035)
pleg.AddEntry(plot_east, "ZDC East", "p")
pleg.AddEntry(plot_west, "ZDC West", "p")
pleg.AddEntry(gEast, "Fit projection to east", "l")
pleg.AddEntry(gWest, "Fit projection to west", "l")
pleg.Draw("same")
#gPad.SetLogy()
#gPad.SetGrid()
#ut.invert_col(gPad)
can.SaveAs("01fig.pdf")
def main(): # pylint: disable=too-many-locals, too-many-statements, too-many-branches
"""
Main plotting function
"""
gROOT.SetBatch(True)
# pylint: disable=unused-variable
parser = argparse.ArgumentParser()
parser.add_argument("--database-analysis",
"-d",
dest="database_analysis",
help="analysis database to be used",
required=True)
parser.add_argument("--analysis",
"-a",
dest="type_ana",
help="choose type of analysis",
required=True)
parser.add_argument("--input",
"-i",
dest="input_file",
help="results input file",
required=True)
args = parser.parse_args()
typean = args.type_ana
shape = typean[len("jet_"):]
print("Shape:", shape)
file_in = args.input_file
with open(args.database_analysis, "r") as file_db:
data_param = yaml.safe_load(file_db)
case = list(data_param.keys())[0]
datap = data_param[case]
logger = get_logger()
i_cut = file_in.rfind("/")
rootpath = file_in[:i_cut]
# plotting
# LaTeX string
p_latexnhadron = datap["analysis"][typean]["latexnamehadron"]
p_latexbin2var = datap["analysis"][typean]["latexbin2var"]
v_varshape_latex = datap["analysis"][typean]["var_shape_latex"]
# first variable (hadron pt)
lpt_finbinmin = datap["analysis"][typean]["sel_an_binmin"]
lpt_finbinmax = datap["analysis"][typean]["sel_an_binmax"]
var1ranges = lpt_finbinmin.copy()
var1ranges.append(lpt_finbinmax[-1])
# second variable (jet pt)
v_var2_binning = datap["analysis"][typean]["var_binning2"] # name
lvar2_binmin_reco = datap["analysis"][typean].get("sel_binmin2_reco", None)
lvar2_binmax_reco = datap["analysis"][typean].get("sel_binmax2_reco", None)
p_nbin2_reco = len(lvar2_binmin_reco) # number of reco bins
lvar2_binmin_gen = datap["analysis"][typean].get("sel_binmin2_gen", None)
lvar2_binmax_gen = datap["analysis"][typean].get("sel_binmax2_gen", None)
p_nbin2_gen = len(lvar2_binmin_gen) # number of gen bins
var2ranges_reco = lvar2_binmin_reco.copy()
var2ranges_reco.append(lvar2_binmax_reco[-1])
var2binarray_reco = array(
"d",
var2ranges_reco) # array of bin edges to use in histogram constructors
var2ranges_gen = lvar2_binmin_gen.copy()
var2ranges_gen.append(lvar2_binmax_gen[-1])
var2binarray_gen = array(
"d",
var2ranges_gen) # array of bin edges to use in histogram constructors
# observable (z, shape,...)
v_varshape_binning = datap["analysis"][typean][
"var_binningshape"] # name (reco)
v_varshape_binning_gen = datap["analysis"][typean][
"var_binningshape_gen"] # name (gen)
lvarshape_binmin_reco = \
datap["analysis"][typean].get("sel_binminshape_reco", None)
lvarshape_binmax_reco = \
datap["analysis"][typean].get("sel_binmaxshape_reco", None)
p_nbinshape_reco = len(lvarshape_binmin_reco) # number of reco bins
lvarshape_binmin_gen = \
datap["analysis"][typean].get("sel_binminshape_gen", None)
lvarshape_binmax_gen = \
datap["analysis"][typean].get("sel_binmaxshape_gen", None)
p_nbinshape_gen = len(lvarshape_binmin_gen) # number of gen bins
varshaperanges_reco = lvarshape_binmin_reco.copy()
varshaperanges_reco.append(lvarshape_binmax_reco[-1])
varshapebinarray_reco = array(
"d", varshaperanges_reco
) # array of bin edges to use in histogram constructors
varshaperanges_gen = lvarshape_binmin_gen.copy()
varshaperanges_gen.append(lvarshape_binmax_gen[-1])
varshapebinarray_gen = array(
"d", varshaperanges_gen
) # array of bin edges to use in histogram constructors
file_results = TFile.Open(file_in)
if not file_results:
logger.fatal(make_message_notfound(file_in))
ibin2 = 1
suffix = "%s_%g_%g" % (v_var2_binning, lvar2_binmin_gen[ibin2],
lvar2_binmax_gen[ibin2])
# HF data
nameobj = "%s_hf_data_%d_stat" % (shape, ibin2)
hf_data_stat = file_results.Get(nameobj)
if not hf_data_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_hf_data_%d_syst" % (shape, ibin2)
hf_data_syst = file_results.Get(nameobj)
if not hf_data_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# HF PYTHIA
nameobj = "%s_hf_pythia_%d_stat" % (shape, ibin2)
hf_pythia_stat = file_results.Get(nameobj)
if not hf_pythia_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
# HF ratio
nameobj = "%s_hf_ratio_%d_stat" % (shape, ibin2)
hf_ratio_stat = file_results.Get(nameobj)
if not hf_ratio_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_hf_ratio_%d_syst" % (shape, ibin2)
hf_ratio_syst = file_results.Get(nameobj)
if not hf_ratio_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# inclusive data
nameobj = "%s_incl_data_%d_stat" % (shape, ibin2)
incl_data_stat = file_results.Get(nameobj)
if not incl_data_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_incl_data_%d_syst" % (shape, ibin2)
incl_data_syst = file_results.Get(nameobj)
if not incl_data_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# inclusive PYTHIA
nameobj = "%s_incl_pythia_%d_stat" % (shape, ibin2)
incl_pythia_stat = file_results.Get(nameobj)
if not incl_pythia_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_incl_pythia_%d_syst" % (shape, ibin2)
incl_pythia_syst = file_results.Get(nameobj)
if not incl_pythia_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# inclusive ratio
nameobj = "%s_incl_ratio_%d_stat" % (shape, ibin2)
incl_ratio_stat = file_results.Get(nameobj)
if not incl_ratio_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_incl_ratio_%d_syst" % (shape, ibin2)
incl_ratio_syst = file_results.Get(nameobj)
if not incl_ratio_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# quark PYTHIA
nameobj = "%s_quark_pythia_%d_stat" % (shape, ibin2)
quark_pythia_stat = file_results.Get(nameobj)
if not quark_pythia_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_quark_pythia_%d_syst" % (shape, ibin2)
quark_pythia_syst = file_results.Get(nameobj)
if not quark_pythia_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# gluon PYTHIA
nameobj = "%s_gluon_pythia_%d_stat" % (shape, ibin2)
gluon_pythia_stat = file_results.Get(nameobj)
if not gluon_pythia_stat:
logger.fatal(make_message_notfound(nameobj, file_in))
nameobj = "%s_gluon_pythia_%d_syst" % (shape, ibin2)
gluon_pythia_syst = file_results.Get(nameobj)
if not gluon_pythia_syst:
logger.fatal(make_message_notfound(nameobj, file_in))
# plot the results with systematic uncertainties and models
size_can = [800, 800]
offsets_axes = [0.8, 1.1]
margins_can = [0.1, 0.13, 0.1, 0.03]
size_thg = 0.05
offset_thg = 0.85
gStyle.SetErrorX(0) # do not plot horizontal error bars of histograms
fontsize = 0.035
opt_leg_g = "FP"
opt_plot_g = "2"
list_new = [] # list to avoid loosing objects created in loops
# labels
x_latex = 0.16
y_latex_top = 0.83
y_step = 0.055
title_x = v_varshape_latex
title_y = "(1/#it{N}_{jet}) d#it{N}/d%s" % v_varshape_latex
title_full = ";%s;%s" % (title_x, title_y)
title_full_ratio = ";%s;data/MC: ratio of %s" % (title_x, title_y)
text_alice = "#bf{ALICE} Preliminary, pp, #sqrt{#it{s}} = 13 TeV"
text_alice_sim = "#bf{ALICE} Simulation, pp, #sqrt{#it{s}} = 13 TeV"
text_pythia = "PYTHIA 8 (Monash)"
text_pythia_split = "#splitline{PYTHIA 8}{(Monash)}"
text_jets = "charged jets, anti-#it{k}_{T}, #it{R} = 0.4"
text_ptjet = "%g #leq %s < %g GeV/#it{c}, #left|#it{#eta}_{jet}#right| #leq 0.5" % (
lvar2_binmin_reco[ibin2], p_latexbin2var, lvar2_binmax_reco[ibin2])
text_pth = "%g #leq #it{p}_{T}^{%s} < %g GeV/#it{c}, #left|#it{y}_{%s}#right| #leq 0.8" % (
lpt_finbinmin[0], p_latexnhadron,
min(lpt_finbinmax[-1], lvar2_binmax_reco[ibin2]), p_latexnhadron)
text_ptcut = "#it{p}_{T, incl. ch. jet}^{leading track} #geq 5.33 GeV/#it{c}"
text_ptcut_sim = "#it{p}_{T, incl. ch. jet}^{leading h^{#pm}} #geq 5.33 GeV/#it{c} (varied)"
text_sd = "Soft Drop (#it{z}_{cut} = 0.1, #it{#beta} = 0)"
title_thetag = "#it{#theta}_{g} = #it{R}_{g}/#it{R}"
radius_jet = 0.4
# colour and marker indeces
c_hf_data = 0
c_incl_data = 1
c_hf_mc = 2
c_incl_mc = 6
c_quark_mc = 5
c_gluon_mc = 0
# markers
m_hf_data = get_marker(0)
m_incl_data = get_marker(1)
m_hf_mc = get_marker(0, 2)
m_incl_mc = get_marker(1, 2)
m_quark_mc = get_marker(2)
m_gluon_mc = get_marker(3)
# make the horizontal error bars smaller
if shape == "nsd":
for gr in [
hf_data_syst, incl_data_syst, hf_ratio_syst, incl_ratio_syst,
incl_pythia_syst, quark_pythia_syst, gluon_pythia_syst
]:
for i in range(gr.GetN()):
gr.SetPointEXlow(i, 0.1)
gr.SetPointEXhigh(i, 0.1)
# data, HF and inclusive
hf_data_syst_cl = hf_data_syst.Clone()
leg_pos = [.72, .75, .85, .85]
list_obj = [hf_data_syst, incl_data_syst, hf_data_stat, incl_data_stat]
labels_obj = ["%s-tagged" % p_latexnhadron, "inclusive", "", ""]
colours = [
get_colour(i, j) for i, j in zip((c_hf_data, c_incl_data, c_hf_data,
c_incl_data), (2, 2, 1, 1))
]
markers = [m_hf_data, m_incl_data, m_hf_data, m_incl_data]
y_margin_up = 0.46
y_margin_down = 0.05
cshape_data, list_obj_data_new = make_plot("cshape_data_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full)
for gr, c in zip((hf_data_syst, incl_data_syst), (c_hf_data, c_incl_data)):
gr.SetMarkerColor(get_colour(c))
list_obj_data_new[0].SetTextSize(fontsize)
if shape == "nsd":
hf_data_syst.GetXaxis().SetNdivisions(5)
# Draw a line through the points.
if shape == "nsd":
for h in (hf_data_stat, incl_data_stat):
h_line = h.Clone(h.GetName() + "_line")
h_line.SetLineStyle(2)
h_line.Draw("l hist same")
list_new.append(h_line)
cshape_data.Update()
if shape == "rg":
# plot the theta_g axis
gr_frame = hf_data_syst
axis_rg = gr_frame.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_data.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_data.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_data = []
for text_latex in [
text_alice, text_jets, text_ptjet, text_pth, text_ptcut, text_sd
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_data.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_data.Update()
cshape_data.SaveAs("%s/%s_data_%s.pdf" % (rootpath, shape, suffix))
# data and PYTHIA, HF
leg_pos = [.72, .65, .85, .85]
list_obj = [hf_data_syst_cl, hf_data_stat, hf_pythia_stat]
labels_obj = ["data", "", text_pythia_split]
colours = [
get_colour(i, j)
for i, j in zip((c_hf_data, c_hf_data, c_hf_mc), (2, 1, 1))
]
markers = [m_hf_data, m_hf_data, m_hf_mc]
y_margin_up = 0.4
y_margin_down = 0.05
cshape_data_mc_hf, list_obj_data_mc_hf_new = make_plot("cshape_data_mc_hf_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full)
for gr, c in zip([hf_data_syst_cl], [c_hf_data]):
gr.SetMarkerColor(get_colour(c))
leg_data_mc_hf = list_obj_data_mc_hf_new[0]
leg_data_mc_hf.SetHeader("%s-tagged" % p_latexnhadron)
leg_data_mc_hf.SetTextSize(fontsize)
if shape == "nsd":
hf_data_syst_cl.GetXaxis().SetNdivisions(5)
#axis_nsd = hf_data_syst_cl.GetHistogram().GetXaxis()
#x1 = axis_nsd.GetBinLowEdge(1)
#x2 = axis_nsd.GetBinUpEdge(axis_nsd.GetNbins())
#axis_nsd.Set(5, x1, x2)
#for ibin in range(axis_nsd.GetNbins()):
# axis_nsd.SetBinLabel(ibin + 1, "%d" % ibin)
#axis_nsd.SetNdivisions(5)
cshape_data_mc_hf.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = hf_data_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_data_mc_hf.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_data_mc_hf.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_data_mc_hf = []
for text_latex in [text_alice, text_jets, text_ptjet, text_pth, text_sd]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_data_mc_hf.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_data_mc_hf.Update()
cshape_data_mc_hf.SaveAs("%s/%s_data_mc_hf_%s.pdf" %
(rootpath, shape, suffix))
# data and PYTHIA, inclusive
#leg_pos = [.68, .65, .85, .85]
list_obj = [
incl_data_syst, incl_pythia_syst, incl_data_stat, incl_pythia_stat
]
labels_obj = ["data", text_pythia_split]
colours = [
get_colour(i, j) for i, j in zip((c_incl_data, c_incl_mc, c_incl_data,
c_incl_mc), (2, 2, 1, 1))
]
markers = [m_incl_data, m_incl_mc, m_incl_data, m_incl_mc]
y_margin_up = 0.4
y_margin_down = 0.05
cshape_data_mc_incl, list_obj_data_mc_incl_new = make_plot("cshape_data_mc_incl_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full)
for gr, c in zip([incl_data_syst, incl_pythia_syst],
[c_incl_data, c_incl_mc]):
gr.SetMarkerColor(get_colour(c))
leg_data_mc_incl = list_obj_data_mc_incl_new[0]
leg_data_mc_incl.SetHeader("inclusive")
leg_data_mc_incl.SetTextSize(fontsize)
if shape == "nsd":
incl_data_syst.GetXaxis().SetNdivisions(5)
cshape_data_mc_incl.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = incl_data_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_data_mc_incl.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_data_mc_incl.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_data_mc_incl = []
for text_latex in [text_alice, text_jets, text_ptjet, text_ptcut, text_sd]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_data_mc_incl.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_data_mc_incl.Update()
cshape_data_mc_incl.SaveAs("%s/%s_data_mc_incl_%s.pdf" %
(rootpath, shape, suffix))
# Ratios data/MC, HF and inclusive
line_1 = TLine(lvarshape_binmin_reco[0], 1, lvarshape_binmax_reco[-1], 1)
line_1.SetLineStyle(9)
line_1.SetLineColor(1)
line_1.SetLineWidth(3)
#leg_pos = [.72, .7, .85, .85] # with header
leg_pos = [.72, .75, .85, .85] # without header
list_obj = [
hf_ratio_syst, line_1, incl_ratio_syst, hf_ratio_stat, incl_ratio_stat
]
labels_obj = ["%s-tagged" % p_latexnhadron, "inclusive"]
colours = [
get_colour(i, j) for i, j in zip((c_hf_data, c_incl_data, c_hf_data,
c_incl_data), (2, 2, 1, 1))
]
markers = [m_hf_data, m_incl_data, m_hf_data, m_incl_data]
y_margin_up = 0.52
y_margin_down = 0.05
if shape == "nsd":
y_margin_up = 0.22
cshape_ratio, list_obj_ratio_new = make_plot("cshape_ratio_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full_ratio)
cshape_ratio.Update()
for gr, c in zip((hf_ratio_syst, incl_ratio_syst),
(c_hf_data, c_incl_data)):
gr.SetMarkerColor(get_colour(c))
leg_ratio = list_obj_ratio_new[0]
leg_ratio.SetTextSize(fontsize)
#leg_ratio.SetHeader("data/MC")
if shape == "nsd":
hf_ratio_syst.GetXaxis().SetNdivisions(5)
cshape_ratio.Update()
if shape == "rg":
# plot the theta_g axis
gr_frame = hf_ratio_syst
axis_rg = gr_frame.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_ratio.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_ratio.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_ratio = []
for text_latex in [
text_alice, text_jets, text_ptjet, text_pth, text_ptcut, text_sd,
text_pythia
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_ratio.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_ratio.Update()
cshape_ratio.SaveAs("%s/%s_ratio_%s.pdf" % (rootpath, shape, suffix))
# PYTHIA, HF, inclusive, quark, gluon
incl_pythia_syst_cl = incl_pythia_syst.Clone()
y_min_h, y_max_h = get_y_window_his([
hf_pythia_stat, incl_pythia_stat, quark_pythia_stat, gluon_pythia_stat
])
y_min_g, y_max_g = get_y_window_gr(
[incl_pythia_syst, quark_pythia_syst, gluon_pythia_syst])
y_min = min(y_min_h, y_min_g)
y_max = max(y_max_h, y_max_g)
y_margin_up = 0.46
y_margin_down = 0.05
y_min_plot, y_max_plot = get_plot_range(y_min, y_max, y_margin_down,
y_margin_up)
#leg_pos = [.6, .65, .75, .85]
leg_pos = [.72, .55, .85, .85]
list_obj = [
incl_pythia_syst, quark_pythia_syst, gluon_pythia_syst, hf_pythia_stat,
incl_pythia_stat, quark_pythia_stat, gluon_pythia_stat
]
labels_obj = ["inclusive", "quark", "gluon", "%s-tagged" % p_latexnhadron]
colours = [
get_colour(i, j)
for i, j in zip((c_incl_mc, c_quark_mc, c_gluon_mc, c_hf_mc, c_incl_mc,
c_quark_mc, c_gluon_mc), (2, 2, 2, 1, 1, 1, 1))
]
markers = [
m_incl_mc, m_quark_mc, m_gluon_mc, m_hf_mc, m_incl_mc, m_quark_mc,
m_gluon_mc
]
y_margin_up = 0.46
y_margin_down = 0.05
cshape_mc, list_obj_mc_new = make_plot("cshape_mc_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, range_y=[y_min_plot, y_max_plot], margins_c=margins_can, \
title=title_full)
cshape_mc.Update()
for gr, c in zip((incl_pythia_syst, quark_pythia_syst, gluon_pythia_syst),
(c_incl_mc, c_quark_mc, c_gluon_mc)):
gr.SetMarkerColor(get_colour(c))
leg_mc = list_obj_mc_new[0]
leg_mc.SetTextSize(fontsize)
leg_mc.SetHeader(text_pythia_split)
if shape == "nsd":
incl_pythia_syst.GetXaxis().SetNdivisions(5)
cshape_mc.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = hf_pythia_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_mc.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_mc.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_mc = []
for text_latex in [
text_alice_sim, text_jets, text_ptjet, text_pth, text_ptcut_sim,
text_sd
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_mc.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_mc.Update()
cshape_mc.SaveAs("%s/%s_mc_%s.pdf" % (rootpath, shape, suffix))
# PYTHIA, HF, quark, gluon
#leg_pos = [.6, .65, .75, .85]
leg_pos = [.72, .61, .85, .85]
list_obj = [
quark_pythia_syst, gluon_pythia_syst, hf_pythia_stat,
quark_pythia_stat, gluon_pythia_stat
]
labels_obj = ["quark", "gluon", "%s-tagged" % p_latexnhadron]
colours = [
get_colour(i, j)
for i, j in zip((c_quark_mc, c_gluon_mc, c_hf_mc, c_quark_mc,
c_gluon_mc), (2, 2, 1, 1, 1))
]
markers = [m_quark_mc, m_gluon_mc, m_hf_mc, m_quark_mc, m_gluon_mc]
y_margin_up = 0.46
y_margin_down = 0.05
cshape_mc, list_obj_mc_new = make_plot("cshape_mc_qgd_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, range_y=[y_min_plot, y_max_plot], margins_c=margins_can, \
title=title_full)
cshape_mc.Update()
for gr, c in zip((quark_pythia_syst, gluon_pythia_syst),
(c_quark_mc, c_gluon_mc)):
gr.SetMarkerColor(get_colour(c))
leg_mc = list_obj_mc_new[0]
leg_mc.SetTextSize(fontsize)
leg_mc.SetHeader(text_pythia_split)
if shape == "nsd":
quark_pythia_syst.GetXaxis().SetNdivisions(5)
cshape_mc.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = hf_pythia_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_mc.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_mc.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_mc = []
for text_latex in [
text_alice_sim, text_jets, text_ptjet, text_pth, text_ptcut_sim,
text_sd
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_mc.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_mc.Update()
cshape_mc.SaveAs("%s/%s_mc_qgd_%s.pdf" % (rootpath, shape, suffix))
# PYTHIA, HF, inclusive
#leg_pos = [.6, .65, .75, .85]
leg_pos = [.72, .67, .85, .85]
list_obj = [incl_pythia_syst_cl, incl_pythia_stat, hf_pythia_stat]
labels_obj = ["inclusive", "", "%s-tagged" % p_latexnhadron]
colours = [
get_colour(i, j)
for i, j in zip((c_incl_mc, c_incl_mc, c_hf_mc), (2, 1, 1))
]
markers = [m_incl_mc, m_incl_mc, m_hf_mc]
y_margin_up = 0.46
y_margin_down = 0.05
cshape_mc, list_obj_mc_new = make_plot("cshape_mc_id_" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, range_y=[y_min_plot, y_max_plot], margins_c=margins_can, \
title=title_full)
# Draw a line through the points.
if shape == "nsd":
for h in (incl_pythia_stat, hf_pythia_stat):
h_line = h.Clone(h.GetName() + "_line")
h_line.SetLineStyle(2)
h_line.Draw("l hist same")
list_new.append(h_line)
cshape_mc.Update()
incl_pythia_syst_cl.SetMarkerColor(get_colour(c_incl_mc))
leg_mc = list_obj_mc_new[0]
leg_mc.SetTextSize(fontsize)
leg_mc.SetHeader(text_pythia_split)
if shape == "nsd":
incl_pythia_syst_cl.GetXaxis().SetNdivisions(5)
cshape_mc.Update()
if shape == "rg":
# plot the theta_g axis
axis_rg = hf_pythia_stat.GetXaxis()
rg_min = axis_rg.GetBinLowEdge(axis_rg.GetFirst())
rg_max = axis_rg.GetBinUpEdge(axis_rg.GetLast())
thetag_min = rg_min / radius_jet
thetag_max = rg_max / radius_jet
y_axis = cshape_mc.GetUymax()
axis_thetag = TGaxis(rg_min, y_axis, rg_max, y_axis, thetag_min,
thetag_max, 510, "-")
axis_thetag.SetTitle(title_thetag)
axis_thetag.SetTitleSize(size_thg)
axis_thetag.SetLabelSize(0.036)
axis_thetag.SetTitleFont(42)
axis_thetag.SetLabelFont(42)
axis_thetag.SetLabelOffset(0)
axis_thetag.SetTitleOffset(offset_thg)
cshape_mc.SetTickx(0)
axis_thetag.Draw("same")
# Draw LaTeX
y_latex = y_latex_top
list_latex_mc = []
for text_latex in [
text_alice_sim, text_jets, text_ptjet, text_pth, text_ptcut_sim,
text_sd
]:
latex = TLatex(x_latex, y_latex, text_latex)
list_latex_mc.append(latex)
draw_latex(latex, textsize=fontsize)
y_latex -= y_step
cshape_mc.Update()
cshape_mc.SaveAs("%s/%s_mc_id_%s.pdf" % (rootpath, shape, suffix))
# data inclusive vs PYTHIA, quark, gluon
#leg_pos = [.6, .65, .75, .85]
#leg_pos = [.72, .55, .85, .85]
leg_pos = [.6, .7, .85, .85]
list_obj = [
incl_data_syst, quark_pythia_syst, gluon_pythia_syst, incl_data_stat,
quark_pythia_stat, gluon_pythia_stat
]
labels_obj = ["inclusive (data)", "quark (PYTHIA 8)", "gluon (PYTHIA 8)"]
colours = [
get_colour(i, j)
for i, j in zip((c_incl_data, c_quark_mc, c_gluon_mc, c_incl_data,
c_quark_mc, c_gluon_mc), (2, 2, 2, 1, 1, 1))
]
markers = [
m_incl_data, m_quark_mc, m_gluon_mc, m_incl_data, m_quark_mc,
m_gluon_mc
]
y_margin_up = 0.3
y_margin_down = 0.05
cshape_mc, list_obj_mc_new = make_plot("cshape_mc_data_iqg" + suffix, size=size_can, \
list_obj=list_obj, labels_obj=labels_obj, opt_leg_g=opt_leg_g, opt_plot_g=opt_plot_g, offsets_xy=offsets_axes, \
colours=colours, markers=markers, leg_pos=leg_pos, margins_y=[y_margin_down, y_margin_up], margins_c=margins_can, \
title=title_full)
for gr, c in zip((incl_data_syst, quark_pythia_syst, gluon_pythia_syst),
(c_incl_data, c_quark_mc, c_gluon_mc)):
gr.SetMarkerColor(get_colour(c))
leg_mc = list_obj_mc_new[0]
leg_mc.SetTextSize(fontsize)
cshape_mc.Update()
cshape_mc.SaveAs("%s/%s_data_i_mc_qg_%s.pdf" % (rootpath, shape, suffix))
class Frame:
markers = {
"opencircle": (24, 1),
"smallopencircle": (24, 0.5),
"fullcircle": (20, 1),
"smallfullcircle": (20, 0.5),
"opensquare": (25, 1),
"smallopensquare": (25, 0.5),
"fullsquare": (21, 1),
"smallfullsquare": (21, 0.5),
"opentriangle": (26, 1),
"smallopentriangle": (26, 0.5),
"fulltriangle": (22, 1),
"smallfulltriangle": (22, 0.5),
"opencross": (28, 1),
"smallopencross": (28, 0.5),
"fullcross": (34, 1),
"smallfullcross": (34, 0.5),
"opendiamond": (27, 1),
"smallopendiamond": (27, 0.5),
"fulldiamond": (33, 1),
"smallfulldiamond": (33, 0.5)
}
#http://root.cern.ch/root/html/TAttMarker.html
def __init__(self,
title,
xtitle="",
xmin=0,
xmax=1.,
ytitle="",
ymin=0,
ymax=0.,
option="",
nxbin=2,
nybin=2,
logy=False,
logx=False):
randomid = "%d" % (random.randint(10000000000, 99999999999))
self.ymin = ymin
self.ymax = ymax
self.xmin = xmin
self.xmax = xmax
self.palette = (1, 2, 4, 8, 9, 42, 46, 38, 31)
self.logy = logy
if logy and self.ymin <= 0:
self.ymin = 1.e-5
self.logx = logx
if logx and self.xmin <= 0:
self.xmin = 1.e-5
if ymax > ymin:
self.hF = TH2F(randomid, title, nxbin, xmin, xmax, nybin, ymin,
ymax)
else:
self.hF = TH2F(randomid, title, nxbin, xmin, xmax, nybin, ymin,
ymin + 1)
ymax = ymin + 1
self.yaxis2 = None
self.hF.GetXaxis().SetTitle(xtitle)
self.hF.GetYaxis().SetTitle(ytitle)
if logy:
gPad.SetLogy()
if logx:
gPad.SetLogx()
self.hF.SetStats(0)
self.hF.Draw()
self.pad = gPad.cd() # yes, the cd() is needed, gPad is special
self.items = []
self.options = []
self.labels = []
# list of options (e.g. logy), comma or white-space separated
self.frame_options = option.replace(",", " ").split()
self.tls = []
self.tlines = []
def process_options(self, h, opts):
""" FIXME, work in progress, to be used in add and drawLegend consistently """
if opts == "":
optstring = h.GetDrawOption()
if optstring == "same":
optsring = "L"
else:
optstring = ""
for o in opts.split("+"):
if o == "hist":
optstring += "L"
elif o.lower() in self.markers:
optstring += "P"
elif o == "L":
optstring += "L"
elif o == "C":
optstring += "C"
else:
print "unknown option : ", o
print "optstring ", optstring, "opts", opts
def auto_color(self):
return self.palette[(len(self.items) - 1) % len(self.palette)]
def auto_marker_color(self):
markers = ("fullcircle", "opencircle", "fullsquare", "opensquare",
"fulltriangle", "opentriangle")
n = len(self.items) - 1
m = n % len(markers)
c = (m + n // len(markers)) % len(self.palette)
return "small" + markers[m], self.palette[c]
def add(self,
item,
drawOption="",
label=None,
color=None,
size=None,
f=None,
axis=1,
add_to_legend=True):
self.items.append(item)
self.options.append(drawOption)
if add_to_legend == False:
self.labels.append(None)
elif label:
self.labels.append(label)
else:
try:
if item.file.label:
self.labels.append(item.file.label)
elif item.file.info:
self.labels.append(item.file.info)
else:
self.labels.append("")
except AttributeError:
# histogram may not have a file attribute
self.labels.append("")
if color is None and drawOption == "auto":
drawOption, color = self.auto_marker_color()
self.options[-1] = drawOption
elif color is None:
color = self.auto_color()
item.SetLineColor(color)
item.SetMarkerColor(color)
if size is not None:
item.SetMarkerSize(size)
if drawOption == "P" and item.GetMarkerStyle() == 1:
item.SetMarkerStyle(20)
if drawOption.lower() in self.markers:
item.SetMarkerStyle(self.markers[drawOption.lower()][0])
item.SetMarkerSize(self.markers[drawOption.lower()][1])
drawOption = "P"
if drawOption.startswith(
"L+") and drawOption[2:].lower() in self.markers:
item.SetMarkerStyle(self.markers[drawOption[2:].lower()][0])
item.SetMarkerSize(self.markers[drawOption[2:].lower()][1])
drawOption = "PL"
if drawOption == "fill":
drawOption = "hist"
if color:
item.SetFillColor(color)
if drawOption == "box":
item.SetFillColor(0)
item.SetLineColor(color)
if f is not None:
f(item)
if axis == 2 and self.yaxis2 is not None:
yscale = (self.ymax - self.ymin) / (self.ymax2 - self.ymin2)
# rescale for the second axis
if type(item) is TGraph:
xdata = [x for x in item.GetX()]
ydata = [
self.ymin + (y - self.ymin2) * yscale for y in item.GetY()
]
for n in range(len(ydata)):
item.SetPoint(n, xdata[n], ydata[n])
self.pad.cd()
item.Draw("same0 " + drawOption)
self.pad.Update()
def addLatex(self, x, y, text, textsize=0.3, textcolor=1):
tl = TLatex(x, y, text)
tl.SetTextSize(textsize)
tl.SetTextColor(textcolor)
tl.Draw("same")
self.tls.append(tl)
return tl
def addLine(self, x1, y1, x2, y2, arrow="", arrowsize=0.1):
if arrow == "":
tl = TLine(x1, y1, x2, y2)
elif arrow == "<->":
tl = TArrow(x1, y1, x2, y2, arrowsize, "<|>")
elif arrow == "->":
print x2, y2, arrowsize
tl = TArrow(x1, y1, x2, y2, arrowsize, "|>")
tl.SetAngle(40)
tl.SetLineWidth(1)
tl.SetFillColor(1)
tl.Draw("same")
self.tlines.append(tl)
return tl
def drawLegend(self,
xl=0.8,
yl=0.8,
xh=0.95,
yh=0.95,
title="",
columns=1):
self.pad.cd()
self.legend = TLegend(xl, yl, xh, yh, title)
self.legend.SetNColumns(columns)
self.legend.SetFillColor(0)
for h, l, o in zip(self.items, self.labels, self.options):
if l is None or l == "":
continue
if o == "":
o = h.GetDrawOption()
if o == "same":
o = "L"
if o == "hist" or o == "H":
o = "L"
elif o.lower() in self.markers:
o = "P"
self.legend.AddEntry(h, l, o)
self.legend.Draw()
self.Draw()
def DrawLegend(self,
xl=0.8,
yl=0.8,
xh=0.95,
yh=0.95,
title="",
columns=1):
self.drawLegend(xl, yl, xh, yh, title, columns)
def Draw(self):
ymax = self.ymax
if self.ymax <= self.ymin:
for h in self.items:
try:
y = h.GetBinContent(h.GetMaximumBin()) * 1.10
except AttributeError:
try:
y = max(h.GetY())
except AttributeError:
y = ymax
if y > ymax: ymax = y
if ymax <= self.ymin:
ymax = self.ymin + 1
self.hF.GetYaxis().SetLimits(self.ymin, ymax)
if "logy" in self.frame_options:
self.pad.SetLogy()
if "logx" in self.frame_options:
self.pad.SetLogx()
if "grid" in self.frame_options or "gridxy" in self.frame_options:
self.pad.SetGrid()
if "gridx" in self.frame_options:
self.pad.SetGridx()
if "gridy" in self.frame_options:
self.pad.SetGridy()
self.pad.Update()
def Print(self, filename=None):
if filename:
self.pad.Print(filename)
def addVerticalAxis(self, title, ymin, ymax):
self.yaxis2 = TGaxis(self.xmax, self.ymin, self.xmax, self.ymax, ymin,
ymax, 510, "+L")
self.yaxis2.SetName("axis")
self.yaxis2.SetLabelOffset(0.01)
self.yaxis2.SetTitle(title)
self.yaxis2.Draw()
self.ymin2 = ymin
self.ymax2 = ymax
return self.yaxis2
def getXaxis(self):
""" return the x-axis (for setting attributes) """
return self.hF.GetXaxis()
def getYaxis(self):
""" return the y-axis (for setting attributes) """
return self.hF.GetYaxis()
def getYaxis2(self):
""" return the second y-axis (note: this is a TGaxis, not a TAxis)"""
return self.axis2
lines[iLine].SetLineColor(iLine + 1)
lines[iLine].Draw('same')
# add second axis
canv.SetRightMargin(0.1)
all_graphs[0].GetXaxis().SetRangeUser(0, 68)
all_graphs[0].GetXaxis().SetLabelOffset(0.02)
gPad.RangeAxis(0, gPad.GetUymin(), 68, gPad.GetUxmax())
axis = TGaxis(gPad.GetUxmin(), gPad.GetUymin(), gPad.GetUxmax(),
gPad.GetUymin(),
gPad.GetUxmin() * calo_init.args.X0density,
gPad.GetUxmax() * calo_init.args.X0density, 506, "-")
axis.SetLabelSize(0.05)
axis.SetTitleSize(0.07)
axis.SetTitleOffset(0.9)
axis.SetLabelOffset(0.02)
axis.Draw()
axis.SetLabelFont(42)
unit1 = draw_text(['(cm)'], [0.91, 0.09, 1, 0.14], 1, 0)
unit1.SetTextSize(0.05)
unit1.SetTextFont(42)
unit2 = draw_text(['(X_{0})'], [0.91, 0.16, 1, 0.21], 1, 0)
unit2.SetTextSize(0.05)
unit2.SetTextFont(42)
canv.Update()
# Draw all labels
if calo_init.args.specialLabel:
draw_text([calo_init.args.specialLabel], [0.57, 0.88, 0.85, 0.98],
kGray + 3, 0).SetTextSize(0.05)
canv.Update()
hMeanShift.SetBinContent(iPt, shift)
hSyst.SetBinContent(iPt, syst)
cRMS = TCanvas('cRMS', '', 800, 800)
cRMS.DrawFrame(hRMS.GetBinLowEdge(1), 0.1, ptMax, 20.,
';#it{p}_{T} (GeV/#it{c});RMS (%)')
hRMS.DrawCopy('same')
axisSoverB = TGaxis(gPad.GetUxmax(), gPad.GetUymin(), gPad.GetUxmax(),
gPad.GetUymax(), 0.01, 20., 510, "+LG")
axisSoverB.SetLineColor(kRed + 1)
axisSoverB.SetLabelColor(kRed + 1)
axisSoverB.SetLabelFont(42)
axisSoverB.SetLabelSize(0.045)
axisSoverB.SetTitle('S/B (3#sigma)')
axisSoverB.SetTitleOffset(1.2)
axisSoverB.SetLabelOffset(0.012)
axisSoverB.SetTitleColor(kRed + 1)
axisSoverB.SetTitleFont(42)
axisSoverB.SetTitleSize(0.05)
axisSoverB.SetMaxDigits(3)
axisSoverB.Draw()
hSoverB.DrawCopy('same')
cRMS.Update()
cSyst = TCanvas('cSyst', '', 800, 800)
cSyst.DrawFrame(hSyst.GetBinLowEdge(1), 0.1, ptMax, 20.,
';#it{p}_{T} (GeV/#it{c}); Syst (%)')
SetObjectStyle(hRMS, color=kRed + 1, fillstyle=0, linewidth=3)
SetObjectStyle(hMeanShift, color=kBlack, fillstyle=0, linewidth=3)
SetObjectStyle(hSyst, color=kBlue + 1, fillstyle=0, linewidth=3)
hMeanShift.DrawCopy('same')
class Differential1D:
""" Base class for displaying 1D differential plots.
Produces a plot comparing the baseline geometry (base) to the geometry specified by
the geom arguement. The quantity plotted is given by the "stat" option, and is
limited to the different statistics created by the StarBASE application. At present,
these include:
stat="radlen" :: plots number of radiation lengths of material encountered
... need to add more stats
The plot will show a solid histogram for the baseline geometry, with the comparison
geometry shown with red hashes. The fractional difference (baseline-comp)/baseline
is shown at the bottom in blue, scaled according to the alternate axis at the right.
base: selects the baseline geometry. [Mandatory]
geom: selects the comparison geometry. [Mandatory]
volume: selects the volume to be compared. [Mandatory]
geomvolume: selects the volume in the comparison geometry. [Default: same]
stat: selects the statistic to compare. [Default: radlen]
xmin, xmax: x-axis range. [Optional]
ymin, ymax: y-axis range. [Optional]
"""
def __init__(self,
base, geom,
volume="EMSS", geomvolume="same",
stat="radlen",
xmin=+0., xmax=-1.,
ymin=+0., ymax=-1.,
canvas=0,
legend=False
):
self.name = volume
self.base = base
self.geom = geom
baseFile = get_geom_file(base) # get the files
compFile = get_geom_file(geom)
hname = "h_"+stat+"_"+volume+"_eta" # retrive the histograms from the files
print "Get histo: " + str(hname)
self.histo_base = stat_histo( stat, volume, file=baseFile )
if ( geomvolume == "same" ):
self.histo_comp = stat_histo( stat, volume, compFile )
else:
self.histo_comp = stat_histo( stat, geomvolume, compFile )
self.histo_diff = self.histo_base.Clone( hname + "_diff" ) # difference the histograms
self.histo_diff.Add( self.histo_comp, -1.0 )
self.histo_diff.Divide(self.histo_base) # diff will be (old-new)/old * 100%
if ( canvas == 0 ):
canvas = TCanvas("temp"+base+geom+volume+geomvolume,"Differential 1D: baseline="+base+" compare="+geom,500,400);
self.canvas = canvas
# Detect and apply optional x-axis range
if ( xmax > xmin ):
self.histo_base.GetXaxis().SetRangeUser(xmin,xmax)
self.histo_comp.GetXaxis().SetRangeUser(xmin,xmax)
# ... or zoom in on an appropriate scale
else:
# auto_range( self.histo_base )
# auto_range( self.histo_comp )
xmin = auto_min( self.histo_base )
xmax = auto_max( self.histo_base )
self.histo_base.GetXaxis().SetRangeUser(xmin,xmax)
self.histo_comp.GetXaxis().SetRangeUser(xmin,xmax)
# xmin = TMath.Min( self.histo_base.GetXaxis().GetXmin(),self.histo_comp.GetXaxis().GetXmin() )
# xmax = TMath.Max( self.histo_base.GetXaxis().GetXmax(),self.histo_comp.GetXaxis().GetXmax() )
# print "xmin="+str(xmin)
# print "xmax="+str(xmax)
# Detect and apply optional y-axis range
if ( ymax > ymin ):
self.histo_base.GetYaxis().SetRangeUser(ymin,ymax)
else:
ymin = self.histo_base.GetMinimum()
ymax = TMath.Max( self.histo_base.GetMaximum(),
self.histo_comp.GetMaximum())
ymax *= 1.05
# Current range in y-axis extends from 0 to ymax. We want
# to expand this to go from -0.2*ymax to ymax.
ymin = -0.2 * ymax
self.histo_base.GetYaxis().SetRangeUser(ymin,ymax)
# Draw the baseline and comparison histograms
self.histo_base.SetLineWidth(2)
self.histo_base.SetFillStyle(1001)
self.histo_base.SetFillColor(22)
self.histo_base.Draw()
self.histo_comp.SetLineColor(2)
self.histo_comp.SetLineStyle(2)
self.histo_comp.SetFillStyle(3345)
self.histo_comp.SetFillColor(2)
self.histo_comp.Draw("same")
# Rescale difference histogram so that it is in percent
self.histo_diff.Scale(100.0)
# This is the maximum of the histogram.
yfull_max = self.histo_diff.GetMaximum()
yfull_min = self.histo_diff.GetMinimum()
yfull = TMath.Max( yfull_max, TMath.Abs( yfull_min ) )
self.max_differential = yfull
yfull *= 1.3
if ( yfull == 0. ):
yfull = 1.0
# We need to rescale the histogram so that it fits w/in 10% of ymax
self.histo_diff.Scale( 0.10 * ymax / yfull )
# Next we shift the histogram down by 0.1 * ymax
nbinx=self.histo_diff.GetNbinsX();
i=1
while ( i<=nbinx ):
self.histo_diff[i] -= 0.1 * ymax
i+=1
# Reset the line color and draw on the same plot
self.histo_diff.SetLineColor(4)
self.histo_diff.Draw("same")
self.line = TLine(xmin, -0.1 * ymax, xmax, -0.1*ymax )
self.line.SetLineStyle(3)
self.line.Draw()
# And superimpose an axis on the new plot
xa = xmax
self.axis = TGaxis( xa, -0.2*ymax, xa, 0.0, -yfull, +yfull, 50510, "-+L" )
self.axis.SetLabelSize(0.03)
self.axis.SetLabelOffset(-0.02)
self.axis.SetLineColor(4)
self.axis.SetTextColor(4)
self.axis.SetLabelColor(4)
self.axis.SetNdivisions(4)
# self.axis.SetTitle("(base-comp)/base [%]")
self.axis.SetTitleSize(0.0175)
self.axis.SetTitleOffset(-0.5)
self.axis.Draw();
# Add the legend if requested
if ( legend ):
self.legend = TLegend( 0.78, 0.80, 0.98, 0.98 )
self.legend.AddEntry( self.histo_base, base )
self.legend.AddEntry( self.histo_comp, geom )
self.legend.AddEntry( self.histo_diff, "#frac{"+base+"-"+geom+"}{"+base+"} [%]" )
self.legend.Draw()
