def plot_histo_and_fit(hs, f):
n = 0
r = 0
c2 = TCanvas("c2", "c2", 1000, 600)
hs.Draw("nostack")
hs.GetXaxis().SetTitle("mbb [GeV]")
hs.GetYaxis().SetTitle("Number of events")
while n < 7:
h[n].SetXTitle("mbb [GeV]")
h[n].SetYTitle("Number of events")
f[n].SetLineColor(n + 1)
f[n].Draw("SAME")
n = n + 1
legend = TLegend(0.13, 0.41, 0.25, 0.88)
legend.AddEntry(None, "#bf{mean[GeV] / sigma[GeV] / ratio}", "")
while r < 7:
legend.AddEntry(h[r], h[r].GetName(), "f[r]")
result[r] = (height[r], mean[r], rms[r])
legend_text[r] = "#bf{%-.3f/%-.3f/%-.3f}" % (
result[r][1], result[r][2], ratio(result[r][2], result[r][1]))
legend.AddEntry(None, legend_text[r], "")
r = r + 1
legend.SetBorderSize(0)
legend.SetTextFont(42)
legend.SetTextSize(0.03)
legend.SetTextColor(1)
legend.Draw("SAME")
t = TLatex()
t.SetNDC()
t.SetTextSize(14)
t.SetTextFont(43)
t.SetTextAlign(13)
t.DrawLatex(0.73, 0.85, "#it{#bf{ATLAS} Simulation Internal}")
t.Draw()
c2.Print("plot_histo_and_fit.pdf")
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 plot_histo(hs):
l = 0
c = TCanvas("c", "c", 1000, 600)
hs.Draw("nostack")
hs.GetXaxis().SetTitle("mbb [GeV]")
hs.GetYaxis().SetTitle("Number of events")
legend = TLegend(0.13, 0.41, 0.25, 0.88)
legend.AddEntry(None, "#bf{mean[GeV] / sigma[GeV] / ratio}", "")
while l < 7:
legend.AddEntry(h[l], h[l].GetName(), "f[l]")
result[l] = (height[l], mean[l], rms[l])
legend_text[l] = "#bf{%-.3f/%-.3f/%-.3f}" % (
result[l][1], result[l][2], ratio(result[l][2], result[l][1]))
legend.AddEntry(None, legend_text[l], "")
l = l + 1
legend.SetBorderSize(0)
legend.SetTextFont(42)
legend.SetTextSize(0.03)
legend.SetTextColor(1)
legend.Draw("SAME")
t = TLatex()
t.SetNDC()
t.SetTextSize(14)
t.SetTextFont(43)
t.SetTextAlign(13)
t.DrawLatex(0.73, 0.85, "#it{#bf{ATLAS} Simulation Internal}")
t.Draw()
c.Print("plot_histo.pdf")
def setUpPalette(histo2D, plot) :
# Configure Palette for 2D Histos
minX = 1.03*histo2D.GetXaxis().GetXmin();
maxX = 1.03*histo2D.GetXaxis().GetXmax();
minY = 1.03*histo2D.GetYaxis().GetXmin();
maxY = 1.03*histo2D.GetYaxis().GetXmax();
palette = histo2D.GetListOfFunctions().FindObject("palette")
if palette:
palette.__class__ = TPaletteAxis
palette.SetX1NDC(0.945)
palette.SetY1NDC(gPad.GetBottomMargin())
palette.SetX2NDC(0.96)
palette.SetY2NDC(1-gPad.GetTopMargin())
palette.GetAxis().SetTickSize(.01)
palette.GetAxis().SetTitle("")
if plots[plot].zLog:
palette.GetAxis().SetLabelOffset(-0.01)
if histo2D.GetMaximum()/histo2D.GetMinimum() < 1e3 :
palette.GetAxis().SetMoreLogLabels(True)
palette.GetAxis().SetNoExponent(True)
paletteTitle = TLatex(1.12*maxX, maxY, plots[plot].quotaName)
paletteTitle.SetTextAngle(90.)
paletteTitle.SetTextSize(0.05)
paletteTitle.SetTextAlign(31)
paletteTitle.Draw()
histo2D.GetXaxis().SetTickLength(histo2D.GetXaxis().GetTickLength()/4.)
histo2D.GetYaxis().SetTickLength(histo2D.GetYaxis().GetTickLength()/4.)
histo2D.SetTitleOffset(0.5,'Y')
histo2D.GetXaxis().SetNoExponent(True)
histo2D.GetYaxis().SetNoExponent(True)
def drawEtaValues():
"""Function to draw the eta.
Function to draw the eta references on top of an already existing
TCanvas. The lines and labels drawn are collected inside a list and
the list is returned to the user to extend the live of the objects
contained, otherwise no lines and labels will be drawn, since they
will be garbage-collected as soon as this function returns.
"""
# Add eta labels
keep_alive = []
etas = [0.2 * i for i in range(-17, 18)]
etax = 2850.
etay = 1240.
lineL = 110.
offT = 10.
for ieta in etas:
th = 2 * atan(exp(-ieta))
talign = 21
#IP
lineh = TLine(-20., 0., 20., 0.)
lineh.Draw()
linev = TLine(0., -10., 0., 10.)
linev.Draw()
keep_alive.append(lineh)
keep_alive.append(linev)
x1 = 0
y1 = 0
if ieta > -1.6 and ieta < 1.6:
x1 = etay / tan(th)
y1 = etay
elif ieta <= -1.6:
x1 = -etax
y1 = -etax * tan(th)
talign = 11
elif ieta >= 1.6:
x1 = etax
y1 = etax * tan(th)
talign = 31
x2 = x1 + lineL * cos(th)
y2 = y1 + lineL * sin(th)
xt = x2
yt = y2 + offT
line1 = TLine(x1, y1, x2, y2)
line1.Draw()
keep_alive.append(line1)
text = "%3.1f" % ieta
t1 = TLatex(xt, yt, '%s' % ('#eta = 0' if ieta == 0 else text))
t1.SetTextSize(0.03)
t1.SetTextAlign(talign)
t1.Draw()
keep_alive.append(t1)
return keep_alive
def DrawResolutionSingleGaussianFit(self, list, cvs, mantisse, opt=""):
FileMantisse = mantisse.split('/')[0]
for h in list:
h.SetFillColor(38)
h.SetMarkerStyle(8)
sgngaus = TF1("sgngaus", "gaus",
h.GetMean() - 2 * h.GetRMS(),
h.GetMean() + 2 * h.GetRMS())
h.Fit(sgngaus, "", "", sgngaus.GetXmin(), sgngaus.GetXmax())
comment = TLatex(
.6, .6,
"#sigma = " + str("%.3f" % sgngaus.GetParameter(2)) + " mm")
comment.SetTextColor(kRed)
comment.SetNDC(1)
RangeSupEdge = 1
if (self.LogScale): RangeSupEdge = 2
for i in range(RangeSupEdge):
if i == 1:
cvs.SetLogy()
ext = "_LOG" + self.OutFileType
else:
cvs.SetLogy(0)
ext = self.OutFileType
h.Draw("bar2")
sgngaus.Draw("SAME")
comment.Draw()
cvs.SaveAs(mantisse + "/" + FileMantisse + "_" + h.GetName() +
"SingleGaussFit" + ext)
def make_ratio(nom, up, down, channel):
ratio1 = up.Clone("ratio")
#ratio1.Sumw2()
ratio1.SetStats(0)
ratio1.Add(nom, -1)
ratio1.Divide(nom)
ratio1.Scale(100)
ratio1.SetTitle("")
y = ratio1.GetYaxis()
y.SetTitle("#frac{Syst-Nom.}{Nom.} [%]")
y.SetNdivisions(505)
y.SetTitleOffset(2.3)
y.SetTitleSize(10)
x = ratio1.GetXaxis()
x.SetTitle("event level descriminator")
x.SetTitleOffset(6.2)
ratio1.SetLineColor(632)
ratio1.SetFillColor(632)
ratio1.SetMarkerColor(632)
ratio1.SetMarkerStyle(0)
ratio2 = down.Clone("ratio")
#ratio2.Sumw2()
ratio2.Add(nom, -1)
ratio2.Divide(nom)
ratio2.Scale(100)
ratio2.SetLineColor(857)
ratio2.SetFillColor(857)
ratio2.SetMarkerColor(857)
ratio2.SetMarkerStyle(0)
line = TF1("fa1", "0", -1000, 1000)
line.SetLineColor(1)
ymax = abs(ratio1.GetMaximum())
ymin = abs(ratio2.GetMaximum())
Range = [ymax, ymin]
maxv = max(Range)
if maxv < 0.8:
offset = 0.2
else:
offset = 0.8
ratio1.SetMinimum(-maxv - offset)
ratio1.SetMaximum(maxv + offset)
ratio2.SetMinimum(-maxv - offset)
ratio2.SetMaximum(maxv + offset)
ratio1.Draw("hist")
ratio2.Draw("same hist")
line.Draw("same")
#axis1 = TGaxis(0,-maxv-offset,1,-maxv-offset,-maxv-offset,-maxv-offset,50510,"-");
#axis1.SetName("axis1");
channel_label = TLatex()
channel_label.SetNDC()
channel_label.SetTextAlign(12)
channel_label.SetTextFont(63)
channel_label.SetTextSizePixels(15)
channel_label.DrawLatex(0.45, 0.89, channel)
channel_label.Draw("same")
return ratio1, ratio2, line, channel_label
def plotGroomed( obs="grthrust", filenames=[ "sjm136_test.root" ], ecm="136", logy=1, canv=None ):
thplotoptions= { "xmin": 0.0, "xmax": 0.5, "ymin": 0.005, "ymax": 50.0, "markerStyle": 20, "markerSize": 0.5, "title": "groomed Thrust", "xlabel": "1-T_{gr}", "ylabel": "1/\sigma d\sigma/d(1-T_{gr})", "logy":logy }
cpplotoptions= { "xmin": 0.0, "xmax": 1.0, "ymin": 0.03, "ymax": 30.0, "markerStyle": 20, "markerSize": 0.5, "title": "groomed C-parameter", "xlabel": "C_{gr}", "ylabel": "1/\sigma d\sigma/d(C_{gr})", "logy":logy }
plotopts= { "grthrust": thplotoptions, "grcpar": cpplotoptions }
if canv == None:
canv= TCanvas( "canv", obs+" "+ecm, 1200, 800 )
icanv= 0
for beta in [ "0.0", "1.0" ]:
for zcut in [ "0.05", "0.10", "0.15" ]:
icanv= icanv+1
canv.cd( icanv )
gPad.SetLeftMargin( 0.15 )
gPad.SetRightMargin( 0.025 )
key= obs + "_" + beta + "_" + zcut
print key
aogr= createCombineAnalysisObservables( filenames, key )
aogr.plot( plotopts[obs] )
tl= TLegend( 0.4, 0.8, 0.85, 0.85 )
tl.SetTextSize( 0.05 )
tl.SetBorderSize( 0 )
tl.AddEntry( key, "OPAL "+ecm+" GeV", "ep" )
tl.Draw( "same" )
txt= TLatex( 0.6, 0.7, "#beta="+beta+ " z_{cut}="+zcut )
txt.SetNDC( True )
txt.SetTextSize( 0.035 )
txt.Draw()
return
def plot_histo_and_fit(h):
c = TCanvas("c", "c", 600, 300)
h.SetXTitle("mbb [GeV]")
h.SetYTitle("Number of events")
h.Fit("bukin", "RQ", "HIST", xmin, xmax)
f = h.GetFunction("bukin")
result = (f.GetParameter(0), f.GetParameter(1), f.GetParameter(2),
f.GetParameter(3), f.GetParameter(4), f.GetParameter(5))
f.SetLineColor(color)
f.Draw("same")
# https://root.cern.ch/doc/master/classTLegend.html
legend = TLegend(0.15, 0.60, 0.50, 0.80)
legend.AddEntry(None, "#bf{mean[GeV] / sigma[GeV] / ratio}", "")
legend.AddEntry(h, h.GetName(), "f")
result = (height, mean, rms)
legend_text = "#bf{%-.3f/%-.3f/%-.3f}" % (result[1], result[2],
ratio(result[2], result[1]))
legend.AddEntry(None, legend_text, "")
legend.SetBorderSize(0)
legend.SetTextFont(42)
legend.SetTextSize(0.03)
legend.SetTextColor(color)
legend.Draw("SAME")
# https://root.cern.ch/doc/master/classTLatex.html#L3
t = TLatex()
t.SetNDC()
t.SetTextSize(10)
t.SetTextFont(43)
t.SetTextAlign(13)
t.DrawLatex(0.15, 0.40, "#it{#bf{ATLAS} Simulation Internal}")
t.Draw("same")
# save the canvas to file
c.Print("plot_histo_and_fit.pdf")
def PtRangeText(x=0.55, y=0.8, ptrange=(-1, -1), scale=1):
rangetext = TLatex(x, y,
"%s < Photon P_{T} < %s" % (ptrange[0], ptrange[1]))
rangetext.SetNDC()
rangetext.SetTextFont(42)
rangetext.SetTextSize(0.05 * scale)
rangetext.Draw()
return rangetext
def drawCSCLabel(title, x=0.17, y=0.35, font_size=0.):
tex = TLatex(x, y,title)
if font_size > 0.:
tex.SetTextSize(font_size)
tex.SetTextSize(0.05)
tex.SetNDC()
tex.Draw()
return tex
def drawPuLabel(pu, x=0.17, y=0.35, font_size=0.):
tex = TLatex(x, y,"<PU> = %d"%(pu))
if font_size > 0.:
tex.SetTextSize(font_size)
tex.SetTextSize(0.05)
tex.SetNDC()
tex.Draw()
return tex
def drawEtaLabel(minEta, maxEta, x=0.17, y=0.35, font_size=0.):
tex = TLatex(x, y,"%.2f < |#eta| < %.2f"%(minEta,maxEta))
if font_size > 0.:
tex.SetTextSize(font_size)
tex.SetTextSize(0.05)
tex.SetNDC()
tex.Draw()
return tex
def plot(h, option, histoName):
entries = h.GetEntries()
height = h.GetMaximum()
mean = h.GetMean()
rms = h.GetRMS()
color = h.GetLineColor()
xmin = mean - 3 * rms
xmax = mean + 3 * rms
#Getting Bukin Function
f = setBukin(mean=mean, rms=rms, height=height, xmin=xmin, xmax=xmax)
c = TCanvas("c", "c", 600, 300)
h.SetXTitle("mbb [GeV]")
h.SetYTitle("Number of events")
########### start code specific to the histo and/or fit choice ##################
if option == "histo":
h.Draw("HIST")
elif option == "histo+fit":
h.Fit("bukin", "RQ", "HIST", xmin, xmax)
f = h.GetFunction("bukin")
result = (f.GetParameter(0), f.GetParameter(1), f.GetParameter(2),
f.GetParameter(3), f.GetParameter(4), f.GetParameter(5))
f.SetLineColor(color)
f.Draw("same")
elif option == "fit":
h.Fit("bukin", "RQ", "RO", xmin, xmax)
f = h.GetFunction("bukin")
result = (f.GetParameter(0), f.GetParameter(1), f.GetParameter(2),
f.GetParameter(3), f.GetParameter(4), f.GetParameter(5))
f.SetLineColor(color)
else:
print "option", option, "not known"
assert (False)
########## end code specific to the histo and/or fit choice ##################
# https://root.cern.ch/doc/master/classTLegend.html
legend = TLegend(0.15, 0.60, 0.50, 0.80)
legend.AddEntry(None, "#bf{mean[GeV] / sigma[GeV] / ratio}", "")
legend.AddEntry(h, h.GetName(), "f")
result = (height, mean, rms)
legend_text = "#bf{%-.3f/%-.3f/%-.3f}" % (result[1], result[2],
ratio(result[2], result[1]))
legend.AddEntry(None, legend_text, "")
legend.SetBorderSize(0)
legend.SetTextFont(42)
legend.SetTextSize(0.03)
legend.SetTextColor(color)
legend.Draw("SAME")
# https://root.cern.ch/doc/master/classTLatex.html#L3
t = TLatex()
t.SetNDC()
t.SetTextSize(10)
t.SetTextFont(43)
t.SetTextAlign(13)
t.DrawLatex(0.15, 0.40, "#it{#bf{ATLAS} Simulation Internal}")
t.Draw("same")
# save the canvas to file
c.Print(histoName + "_" + option + ".pdf")
def DrawResolutionDoubleGaussianFit(self, list, cvs, mantisse, opt=""):
FileMantisse = mantisse.split('/')[0]
for h in list:
h.SetFillColor(38)
#h.Draw("bar2")
doublgaus = TF1("doublgaus", "gaus(0)+gaus(3)",
h.GetXaxis().GetXmin(),
h.GetXaxis().GetXmax())
sgngaus = TF1("sgngaus", "gaus", doublgaus.GetXmin(),
doublgaus.GetXmax())
bckgaus = TF1("bckgaus", "gaus", doublgaus.GetXmin(),
doublgaus.GetXmax())
h.Fit(sgngaus, "", "", sgngaus.GetXmin(), sgngaus.GetXmax())
doublgaus.SetParameters(sgngaus.GetParameter(0),
sgngaus.GetParameter(1),
sgngaus.GetParameter(2),
sgngaus.GetParameter(0) / 100.,
sgngaus.GetParameter(1),
sgngaus.GetParameter(2) * 2)
doublgaus.SetParLimits(
4, (doublgaus.GetXmin() -
(doublgaus.GetXmax() - doublgaus.GetXmin()) / 2),
(doublgaus.GetXmin() +
(doublgaus.GetXmax() - doublgaus.GetXmin()) / 2))
h.Fit(doublgaus, "", "", doublgaus.GetXmin(), doublgaus.GetXmax())
sgngaus.SetParameters(doublgaus.GetParameter(0),
doublgaus.GetParameter(1),
doublgaus.GetParameter(2))
bckgaus.SetParameters(doublgaus.GetParameter(3),
doublgaus.GetParameter(4),
doublgaus.GetParameter(5))
bckgaus.SetLineStyle(7)
bckgaus.SetLineColor(1)
sgngaus.SetLineStyle(7)
sgngaus.SetLineColor(4)
comment = TLatex(
.6, .6,
"#sigma = " + str("%.3f" % doublgaus.GetParameter(2)) + " mm")
comment.SetTextColor(kBlue)
comment.SetNDC(1)
RangeSupEdge = 1
if (self.LogScale): RangeSupEdge = 2
for i in range(RangeSupEdge):
if i == 1:
cvs.SetLogy()
ext = "_LOG" + self.OutFileType
else:
cvs.SetLogy(0)
ext = self.OutFileType
h.Draw("bar2")
bckgaus.Draw("SAME")
sgngaus.Draw("SAME")
comment.Draw()
cvs.SaveAs(mantisse + "/" + FileMantisse + "_" + h.GetName() +
"DoubleGaussFit" + ext)
def drawText(x, y, t, col=1):
text = TLatex()
text.SetTextColor(col)
text.SetTextFont(42)
text.SetTextAlign(23)
text.SetTextSize(0.04)
text.DrawLatex(x, y, t)
text.Draw()
return text
def GetTLatex(t, x, y, s = 0.04): t = TLatex(-20, 50, t); t.SetNDC(); t.SetTextAlign(12); t.SetX(x); t.SetY(y); t.SetTextFont(42); t.SetTextSize(s); t.Draw() return t
def drawText(x, y, t, isNDC=False):
text = TLatex()
text.SetTextColor(1)
text.SetTextFont(42)
text.SetTextAlign(23)
text.SetTextSize(0.04)
if isNDC: text.DrawLatexNDC(x, y, t)
else: text.DrawLatex(x, y, t)
text.Draw()
return text
def drawBox(x1, y1, x2, y2, t=""):
box = TBox(x1, y1, x2, y2)
box.SetFillColor(1)
box.SetFillStyle(3004)
box.Draw()
if not t == "":
text = TLatex()
text.SetTextColor(1)
text.SetTextFont(42)
text.SetTextAlign(23)
text.SetTextSize(0.04)
text.DrawLatex((x1 + x2) / 2., y2 / 1.15, t)
text.Draw()
return box
def plot_fit(h, xmin, xmax, height, mean, rms):
k = 0
m = 0
s = 0
c1 = TCanvas("c1", "c1", 1000, 600)
while k < 7:
function = TF1("bukin", Bukin(), xmin[k], xmax[k], 6)
function.SetParName(0, "height")
function.SetParName(1, "mean")
function.SetParName(2, "width")
function.SetParName(3, "asymmetry")
function.SetParName(4, "size of lower tail")
function.SetParName(5, "size of higher tail")
function.SetParameter(0, height[k])
function.SetParameter(1, mean[k])
function.SetParameter(2, rms[k])
h[k].Fit("bukin", "RQ", "RO", xmin[k], xmax[k])
f[k] = h[k].GetFunction("bukin")
k = k + 1
while m < 7:
h[m].SetXTitle("mbb [GeV]")
h[m].SetYTitle("Number of events")
f[m].SetLineColor(m + 1)
f[m].Draw("SAME")
m = m + 1
legend = TLegend(0.13, 0.41, 0.25, 0.88)
legend.AddEntry(None, "#bf{mean[GeV] / sigma[GeV] / ratio}", "")
while s < 7:
legend.AddEntry(h[s], h[s].GetName(), "f[s]")
result[s] = (height[s], mean[s], rms[s])
legend_text[s] = "#bf{%-.3f/%-.3f/%-.3f}" % (
result[s][1], result[s][2], ratio(result[s][2], result[s][1]))
legend.AddEntry(None, legend_text[s], "")
s = s + 1
legend.SetBorderSize(0)
legend.SetTextFont(42)
legend.SetTextSize(0.03)
legend.SetTextColor(1)
legend.Draw("SAME")
t = TLatex()
t.SetNDC()
t.SetTextSize(14)
t.SetTextFont(43)
t.SetTextAlign(13)
t.DrawLatex(0.73, 0.85, "#it{#bf{ATLAS} Simulation Internal}")
t.Draw()
c1.Print("plot_fit.pdf")
def DrawADCGainProfile(self, list, cvs, mantisse, opt=""):
FileMantisse = mantisse.split('/')[0]
cvs.SetLogy(0)
for h in list:
hProf = h.ProfileX()
h.Draw("colz")
hProf.SetLineWidth(5)
hProf.SetLineColor(7)
hProf.Draw("SAME")
linFit = TF1("linFit", "pol1", 0, 0.3)
hProf.Fit(linFit, "", "SAME", 0, 0.3)
comment = TLatex(
0.5, .2, "Slope = " + str("%.0f" % linFit.GetParameter(1)) +
" MeV^{-1}")
comment.SetTextColor(kRed)
comment.SetNDC(1)
comment.Draw()
cvs.SaveAs(mantisse + "/" + FileMantisse + "_" + h.GetName() +
self.OutFileType)
def draw(h, opt="", copy=False, labelize=True):
hd = h
if copy:
print("Drawing", h, "as a copy")
hd = h.DrawCopy(opt)
if type(copy) == type(""):
hd.SetName(hd.GetName() + copy)
else:
hd.SetName(hd.GetName() + "copy")
hd.SetDirectory(0)
else:
h.Draw(opt)
if labelize and "same" not in opt:
latex = TLatex(0.2, 0.95, hd.GetName())
latex.SetNDC()
latex.Draw()
latexdrawn.append(latex)
gPad.Update()
ldrawn.append(hd)
return hd
def Draw2Dsig(tag='exp', pname='limits', ms=275, ml=100, lim=[]):
h = Get2Dhisto(pname + '.p', tag)
c = TCanvas('c', 'c', 10, 10, 1200, 800)
if lim != []:
zmin, zmax = lim
h.SetMaximum(zmax)
h.SetMinimum(zmin)
h.SetTitle('%s significance' % tag)
g = TGraph(1)
g.SetPoint(1, ms + 5, ml + 5)
g.SetMarkerSize(1)
g.SetMarkerStyle(20)
gStyle.SetPalette(51) #58)
h.Draw('colz')
g.Draw('psame')
t = TLatex(0, 0, 'Injected signal %s_%s' % (str(ms), str(ml)))
t.SetNDC()
t.SetX(0.15)
t.SetY(0.85)
t.SetTextAlign(12)
t.Draw()
for f in ['png', 'pdf']:
c.Print('%s.%s' % (pname.replace('limits', 'scan'), f))
def AddText(txt_x=0.50, txt_y=0.50, txt="dummy", txt_size=0.045, txt_angle=0, Alignment="left", UseNormalizedSize=1, txt_color=1): txt_align=12 if Alignment == "left": txt_align = 12 if Alignment == "right": txt_align = 32 if Alignment == "center": txt_align = 22 t1 = TLatex(txt_x, txt_y, txt ) if UseNormalizedSize: t1.SetNDC(kTRUE) #canvas.cd() t1.SetTextSize(txt_size) t1.SetTextAlign(txt_align) t1.SetTextAngle(txt_angle) t1.SetTextColor(txt_color) t1.Draw() return
c.SetLogy(1)
bkgStack.Draw()
j = 0
for iregion in region:
bkgStack.GetXaxis().SetBinLabel(j + 1, iregion)
j = j + 1
legend.Draw()
latex = TLatex(0.15, 0.85, 'CMS')
latex.SetTextSize(0.036)
latex.SetTextAlign(12)
latex.SetNDC(kTRUE)
latex.SetTextFont(61)
latex.Draw()
latex1 = TLatex(0.13, 0.82, 'Preliminary')
latex1.SetTextSize(0.036)
latex1.SetTextAlign(12)
latex1.SetNDC(kTRUE)
latex1.SetTextFont(61)
latex1.Draw()
latex2 = TLatex(0.65, 0.93, "35.8 fb^{-1} (13 TeV)")
latex2.SetTextSize(0.036)
latex2.SetTextAlign(12)
latex2.SetNDC(kTRUE)
#latex2.SetTextFont(61)
latex2.Draw()
def savePlots(title,
saveName,
listFromats,
plot,
Histos,
keyHisto,
listLegend,
options,
ratios=None,
legendName=""):
#create canvas
c = {}
pads = {}
if options.doRatio:
c[keyHisto] = TCanvas(saveName, keyHisto + plot.title, 700,
700 + 24 * len(listFlavors))
pads["hist"] = TPad("hist", saveName + plot.title, 0,
0.11 * len(listFlavors), 1.0, 1.0)
else:
c[keyHisto] = TCanvas(keyHisto, saveName + plot.title, 700, 700)
pads["hist"] = TPad("hist", saveName + plot.title, 0, 0., 1.0, 1.0)
pads["hist"].Draw()
if ratios:
for r in range(0, len(ratios)):
pads["ratio_" + str(r)] = TPad("ratio_" + str(r),
saveName + plot.title + str(r), 0,
0.11 * r, 1.0, 0.11 * (r + 1))
pads["ratio_" + str(r)].Draw()
pads["hist"].cd()
#canvas style
if plot.logY: pads["hist"].SetLogy()
if plot.grid: pads["hist"].SetGrid()
#legend
leg = TLegend(0.6, 0.4, 0.8, 0.6)
leg.SetMargin(0.12)
leg.SetTextSize(0.035)
leg.SetFillColor(10)
leg.SetBorderSize(0)
#draw histos
first = True
option = drawOption
optionSame = drawOption + "same"
if plot.doPerformance:
option = "AP"
optionSame = "sameP"
for i in range(0, len(Histos)):
if Histos[i] is None: continue
if first:
if not plot.doPerformance:
Histos[i].GetPainter().PaintStat(ROOT.gStyle.GetOptStat(), 0)
Histos[i].SetTitle(title)
Histos[i].Draw(option)
first = False
else:
Histos[i].Draw(optionSame)
#Fill legend
if plot.legend and len(Histos) % len(listLegend) == 0:
r = len(Histos) / len(listLegend)
index = i - r * len(listLegend)
while (index < 0):
index += len(listLegend)
legName = legendName.replace("KEY", listLegend[index])
if i < len(listLegend):
legName = legName.replace("isVAL", options.ValRel)
else:
legName = legName.replace("isVAL", options.RefRel)
if drawOption == "HIST":
leg.AddEntry(Histos[i], legName, "L")
else:
leg.AddEntry(Histos[i], legName, "P")
#Draw legend
if plot.legend and options.drawLegend: leg.Draw("same")
tex = None
if options.printBanner:
print(type(options.printBanner))
tex = TLatex(0.55, 0.75, options.Banner)
tex.SetNDC()
tex.SetTextSize(0.05)
tex.Draw()
#save canvas
if ratios:
for r in range(0, len(ratios)):
pads["ratio_" + str(r)].cd()
if ratios[r] is None: continue
pads["ratio_" + str(r)].SetGrid()
ratios[r].GetYaxis().SetTitle(listLegend[r] + "-jets")
ratios[r].GetYaxis().SetTitleSize(0.15)
ratios[r].GetYaxis().SetTitleOffset(0.2)
ratios[r].GetYaxis().SetNdivisions(3, 3, 2)
ratios[r].Draw("")
unity.Draw("same")
for format in listFromats:
save = saveName + "." + format
c[keyHisto].Print(save)
return [c, leg, tex, pads]
def create2DPlots(detector, plot, plotnum, plotmat, dosingledetector=True):
"""Produce the requested plot for the specified detector.
Function that will plot the requested 2D-@plot for the
specified @detector. The specified detector could either be a
real detector or a compound one. The list of available plots
are the keys of plots dictionary imported from plot_utils.
"""
#gStyle.Reset()
#Better to use an underscore.
plotmat = plotmat.replace(" ", "_")
if plotmat != "":
theDirname = ('Images/%s' % plotmat).replace(" ", "")
else:
theDirname = 'Images'
if not checkFile_(theDirname):
os.mkdir(theDirname)
if not os.path.isdir(('Images/%s/ZPlusZoom' % plotmat).replace(" ", "")):
os.mkdir(('Images/%s/ZPlusZoom' % plotmat).replace(" ", ""))
if not os.path.isdir(('Images/%s/ZMinusZoom' % plotmat).replace(" ", "")):
os.mkdir(('Images/%s/ZMinusZoom' % plotmat).replace(" ", ""))
goodToGo, theDetectorFilename = paramsGood_(detector, plot)
if not goodToGo:
return
theDetectorFile = TFile(theDetectorFilename)
prof2d_X0_det_total = TProfile2D()
prof2d_X0_det_total.Reset()
# get TProfiles
#prof2d_X0_det_total = theDetectorFile.Get('%s' % plots[plot].plotNumber)
prof2d_X0_det_total = theDetectorFile.Get('%s' % plotnum)
print "=================================================================="
print plotnum
# histos
prof2d_X0_det_total.__class__ = TProfile2D
hist_X0_total = prof2d_X0_det_total.ProjectionXY()
# keep files live forever
files = []
if detector in COMPOUNDS.keys() and not dosingledetector:
#When the loop was:
#for subDetector in COMPOUNDS[detector][1:]:
#and the detector was single it never went in the loop and read the single file
#from above. I alter this to COMPOUNDS[detector] to do the multi material budget plot.
#This won't effect the single detector due to the alter in the if above
for subDetector in COMPOUNDS[detector]:
# filenames of single components
subDetectorFilename = "matbdg_%s.root" % subDetector
# open file
if not checkFile_(subDetectorFilename):
print("Error, missing file %s" % subDetectorFilename)
continue
subDetectorFile = TFile(subDetectorFilename)
files.append(subDetectorFile)
print("*** Open file... %s" % subDetectorFilename)
# subdetector profiles
prof2d_X0_det_total = subDetectorFile.Get('%s' %
plots[plot].plotNumber)
prof2d_X0_det_total.__class__ = TProfile2D
# add to summary histogram
hist_X0_total.Add(
prof2d_X0_det_total.ProjectionXY(
"B_%s" % prof2d_X0_det_total.GetName()), +1.000)
# # properties
#gStyle.SetPalette(1)
gStyle.SetStripDecimals(False)
# #
# Create "null" histo
minX = 1.03 * prof2d_X0_det_total.GetXaxis().GetXmin()
maxX = 1.03 * prof2d_X0_det_total.GetXaxis().GetXmax()
minY = 1.03 * prof2d_X0_det_total.GetYaxis().GetXmin()
maxY = 1.03 * prof2d_X0_det_total.GetYaxis().GetXmax()
frame = TH2F("frame", "", 10, minX, maxX, 10, minY, maxY)
frame.SetMinimum(0.1)
frame.SetMaximum(10.)
frame.GetXaxis().SetTickLength(frame.GetXaxis().GetTickLength() * 0.50)
frame.GetYaxis().SetTickLength(frame.GetXaxis().GetTickLength() / 4.)
# Ratio
if plots[plot].iRebin:
prof2d_X0_det_total.Rebin2D()
# stack
hist2dTitle = ('%s %s;%s;%s;%s' %
(plots[plot].quotaName, detector, plots[plot].abscissa,
plots[plot].ordinate, plots[plot].quotaName))
if dosingledetector:
hist2d_X0_total = prof2d_X0_det_total
else:
hist2d_X0_total = hist_X0_total
hist2d_X0_total.SetTitle(hist2dTitle)
frame.SetTitle(hist2dTitle)
frame.SetTitleOffset(0.5, "Y")
#If here you put different histomin,histomaxin plot_utils you won't see anything
#for the material plots.
if plots[plot].histoMin != -1.:
hist2d_X0_total.SetMinimum(plots[plot].histoMin)
if plots[plot].histoMax != -1.:
hist2d_X0_total.SetMaximum(plots[plot].histoMax)
#
can2name = "MBCan_2D_%s_%s_%s" % (detector, plot, plotmat)
can2 = TCanvas(can2name, can2name, 2480 + 248, 580 + 58 + 58)
can2.SetTopMargin(0.1)
can2.SetBottomMargin(0.1)
can2.SetLeftMargin(0.04)
can2.SetRightMargin(0.06)
can2.SetFillColor(kWhite)
gStyle.SetOptStat(0)
gStyle.SetTitleFillColor(0)
gStyle.SetTitleBorderSize(0)
#hist2d_X0_total.SetMaximum(hist2d_X0_total.GetMaximum())
# Color palette
# gStyle.SetPalette()#1
acustompalette()
ex1 = TExec("ex1", "acustompalette();")
ex1.Draw()
#for i in range(100): MyPaletteArray.append(i+1)
#gStyle.SetPalette(first_color_number);
# Log?
can2.SetLogz(plots[plot].zLog)
# Draw in colors
#frame.Draw()
#hist2d_X0_total.Draw("COLZsame") #Dummy draw to create the palette object
hist2d_X0_total.Draw("COLZ") #Dummy draw to create the palette object
# Store
can2.Update()
#Aesthetic
palette = hist2d_X0_total.GetListOfFunctions().FindObject("palette")
if palette:
palette.__class__ = TPaletteAxis
palette.SetX1NDC(0.945)
palette.SetX2NDC(0.96)
palette.SetY1NDC(0.1)
palette.SetY2NDC(0.9)
palette.GetAxis().SetTickSize(.01)
palette.GetAxis().SetTitle("")
if plots[plot].zLog:
palette.GetAxis().SetLabelOffset(-0.01)
paletteTitle = TLatex(1.12 * maxX, maxY, plots[plot].quotaName)
paletteTitle.SetTextAngle(90.)
paletteTitle.SetTextSize(0.05)
paletteTitle.SetTextAlign(31)
paletteTitle.Draw()
hist2d_X0_total.GetYaxis().SetTickLength(
hist2d_X0_total.GetXaxis().GetTickLength() / 4.)
hist2d_X0_total.GetYaxis().SetTickLength(
hist2d_X0_total.GetXaxis().GetTickLength() / 4.)
hist2d_X0_total.SetTitleOffset(0.5, "Y")
hist2d_X0_total.GetYaxis().SetTitleOffset(0.45)
#hist2d_X0_total.GetXaxis().SetTitleOffset(1.15);
#hist2d_X0_total.GetXaxis().SetNoExponent(True)
#hist2d_X0_total.GetYaxis().SetNoExponent(True)
#Add eta labels
keep_alive = []
if plots[plot].iDrawEta:
keep_alive.extend(drawEtaValues())
can2.Modified()
hist2d_X0_total.SetContour(255)
# Store
can2.Update()
can2.Modified()
can2.SaveAs("%s/%s_%s%s.pdf" % (theDirname, detector, plot, plotmat))
can2.SaveAs("%s/%s_%s%s.png" % (theDirname, detector, plot, plotmat))
#can2.SaveAs( "%s/%s_%s%s.root" % (theDirname, detector, plot, plotmat))
#Zoom in a little bit
if plot == "x_vs_z_vs_Rsum" or plot == "l_vs_z_vs_Rsum" or plot == "x_vs_z_vs_Rsumcos" or plot == "l_vs_z_vs_Rsumcos" or plot == "x_vs_z_vs_Rloc" or plot == "l_vs_z_vs_Rloc" or plot == "x_vs_z_vs_Rloccos" or plot == "l_vs_z_vs_Rloccos":
#Z+
#hist2d_X0_total.GetXaxis().SetLimits( 3100., 5200.)
if dosingledetector:
hist2d_X0_total.GetXaxis().SetRangeUser(3100., 5400.)
else:
hist2d_X0_total.GetXaxis().SetRangeUser(0., 7000.)
#Do not draw eta values in the zoom case
keep_alive = []
#hist2d_X0_total.Draw("COLZ")
can2.Update()
can2.Modified()
can2.SaveAs("%s/%s/%s_%s%s_ZplusZoom.pdf" %
(theDirname, "ZPlusZoom", detector, plot, plotmat))
can2.SaveAs("%s/%s/%s_%s%s_ZplusZoom.png" %
(theDirname, "ZPlusZoom", detector, plot, plotmat))
#Z-
#hist2d_X0_total.GetXaxis().SetLimits( 3100., 5200.)
if dosingledetector:
hist2d_X0_total.GetXaxis().SetRangeUser(-5400., -3100.)
else:
hist2d_X0_total.GetXaxis().SetRangeUser(0., -7000.)
#Do not draw eta values in the zoom case
keep_alive = []
#hist2d_X0_total.Draw("COLZ")
can2.Update()
can2.Modified()
can2.SaveAs("%s/%s/%s_%s%s_ZminusZoom.pdf" %
(theDirname, "ZMinusZoom", detector, plot, plotmat))
can2.SaveAs("%s/%s/%s_%s%s_ZminusZoom.png" %
(theDirname, "ZMinusZoom", detector, plot, plotmat))
gStyle.SetStripDecimals(True)
line36 = TLine(0.975, 0, 0.975, 1.925)
line37 = TLine(0.975, 1.925, -0.025, 1.925)
line38 = TLine(-0.025, 1.925, -0.0125, 0)
lineVector = [
line1, line2, line3, line4, line5, line6, line7, line8, line9, line10,
line11, line12, line13, line14, line15, line16, line17, line18, line19,
line20, line21, line22, line23, line24, line25, line26, line27, line28,
line29, line30, line31, line32, line33, line34, line35, line36, line37,
line38
]
for line in lineVector:
line.SetLineColor(ROOT.kBlack)
line.SetLineWidth(3)
line.Draw()
leg = TLegend(.54, .75, .58, .79)
leg.SetFillStyle(0)
leg.SetLineWidth(4)
leg.Draw()
text = TLatex(.6, .75, "NA49 Coverage")
text.SetTextColor(ROOT.kBlack)
text.SetNDC()
text.SetTextSize(1.4 / 30.)
text.SetTextAlign(11)
#text.DrawLatex(.48, .55, "#Square");
text.Draw()
raw_input("Please press enter to exit.")
pad2.SetGrid()
pad1.Draw()
pad2.Draw()
pad1.cd()
pad1.SetLogy()
hs.SetMinimum(0.1)
hs.Draw("HIST")
# hs.GetXaxis().SetTitle(TITLE[var])
hs.GetYaxis().SetTitle("Events")
hs.GetYaxis().SetTitleOffset(0.8)
hs.GetYaxis().SetTitleSize(0.05)
data_hist.Draw("same" "LPE")
sig_hist.Draw("same" "LPE")
leg.Draw()
tex1.Draw()
tex2.Draw()
tex3.Draw()
ROOT.gStyle.SetOptStat(0)
ROOT.gStyle.SetOptTitle(0)
pad2.cd()
ratio_hist.SetMarkerColor(4)
ratio_hist.SetMarkerSize(1)
ratio_hist.SetMarkerStyle(ROOT.kFullCircle)
ratio_hist.Draw()
ratio_hist.GetXaxis().SetTitle(TITLE[var])
ratio_hist.GetXaxis().SetTitleOffset(0.9)
ratio_hist.GetXaxis().SetTitleSize(0.15)
ratio_hist.GetXaxis().SetLabelSize(0.1)
ratio_hist.GetYaxis().SetTitle("Data/MC")
h3.GetYaxis().SetTitleFont(22)
h4.GetYaxis().SetTitleFont(22)
h3.GetXaxis().SetLabelFont(22)
h4.GetXaxis().SetLabelFont(22)
h3.GetYaxis().SetLabelFont(22)
h4.GetYaxis().SetLabelFont(22)
h1.Draw("hist")
h2.Draw("histsame")
#h3.Draw("hist")
#h4.Draw("histsame")
#h5.Draw("histsame")
#h6.Draw("histsame")
t1.Draw("same")
t2.Draw("same")
t3.Draw("same")
t5.Draw("same")
t6.Draw("same")
t7.Draw("same")
t8.Draw("same")
leg.Draw()
c.Print(str(energy[E])+"TeV/h_"+str(energy[E])+"TeV_Particles_Rank_"+str(list_PT_T[j])+"_"+str(i)+".pdf")