def plot(values, suffix=None):
canvas = ROOT.TCanvas("canvas", "canvas", 800, 600)
axes = canvas.DrawFrame(-1.55, -0.6, 1.15, 2.6)
axes.GetXaxis().SetTitle("#eta#alpha")
axes.GetYaxis().SetTitle("response")
axes.GetYaxis().SetTitleOffset(1.2)
PyROOTUtils.DrawText(0.2,
0.87,
"InterpCode = " + str(options.interpcode),
textSize=0.03)
leg = PyROOTUtils.Legend(0.2, 0.83, textSize=0.03)
for etaData in values:
eta = etaData['eta']
data = etaData['data']
g = PyROOTUtils.Graph(data)
container.append(g)
gDerivative = PyROOTUtils.Graph(g.derivativeData(),
lineStyle=ROOT.kDashed)
container.append(gDerivative)
gDerivative2 = PyROOTUtils.Graph(g.derivative2Data(),
lineStyle=ROOT.kDotted)
if 'secondDerivative' in etaData:
gDerivative2 = PyROOTUtils.Graph(etaData['secondDerivative'],
lineStyle=ROOT.kDotted)
gDerivative2.transformY(lambda y: y / 10.0)
container.append(gDerivative2)
infoStr = "#eta = " + str(eta) + " "
if 'slopeAtZero' in etaData:
infoStr += "\nslope(0) = %.2f " % (etaData['slopeAtZero'])
t = PyROOTUtils.DrawText(data[0][0],
data[0][1],
infoStr,
textSize=0.025,
halign="right",
valign="center",
NDC=False)
container.append(t)
g.Draw("L")
gDerivative.Draw("L")
gDerivative2.Draw("L")
leg.AddEntry(g, "f(#eta#alpha)", "L")
leg.AddEntry(gDerivative, "f'(#eta#alpha)", "L")
leg.AddEntry(gDerivative2, "1/10 f''(#eta#alpha)", "L")
leg.Draw()
outFileName = options.output
if suffix: outFileName = outFileName.replace(".eps", suffix + ".eps")
canvas.SaveAs(outFileName)
def content(mHBestFit=130.0, height1SigmaLabel=10.0, color=ROOT.kBlue):
# make mock curve
linSpace = [100 + i * 60.0 / 300.0 for i in range(300)]
likelihood = [(x, (x - mHBestFit) * (x - mHBestFit) / 25.0)
for x in linSpace]
likelihood_statOnly = [(x, (x - mHBestFit) * (x - mHBestFit) / 20.0)
for x in linSpace]
# draw curve
g = PyROOTUtils.Graph(likelihood, lineColor=color, lineWidth=2)
g.Draw()
g_statOnly = PyROOTUtils.Graph(likelihood_statOnly,
lineColor=color,
lineWidth=2,
lineStyle=ROOT.kDashed)
g_statOnly.Draw()
# find 68% CL interval from likelihood
low, high = g.getFirstIntersectionsWithValue(1.0)
vLineM1Sigma = PyROOTUtils.DrawVLine(low,
lineStyle=ROOT.kDashed,
lineWidth=1,
lineColor=color)
vLineP1Sigma = PyROOTUtils.DrawVLine(high,
lineStyle=ROOT.kDashed,
lineWidth=1,
lineColor=color)
hLine1Sigma = PyROOTUtils.DrawLine(low,
height1SigmaLabel,
high,
height1SigmaLabel,
lineWidth=5,
lineColor=color)
label1Sigma = PyROOTUtils.DrawText(
mHBestFit,
height1SigmaLabel, ("#lower[-0.5]{%.1f^{%+.1f}_{%+.1f} GeV}" %
(mHBestFit, high - mHBestFit, low - mHBestFit)),
NDC=False,
textSize=0.025,
halign="center",
valign="bottom",
textColor=color)
container.append(
(g, g_statOnly, vLineM1Sigma, vLineP1Sigma, hLine1Sigma, label1Sigma))
return (g, g_statOnly)
outputtexfile.write(line + "\n")
tail = '''
\\hline
\\hline
\end{tabular}
\end{center}
\end{table}
'''
outputtexfile.write(tail)
outputtexfile.close()
#gr_med = PyROOTUtils.Graph(masses, medians)
gr_obs = PyROOTUtils.Graph(masses, lim_obs)
gr_obs.SetMarkerStyle(20)
gr_med = PyROOTUtils.Graph(masses, lim_med)
#gr_med.SetMarkerStyle(7)
gr_med.SetLineStyle(R.kDashed)
gr_med.SetLineWidth(2)
#band_1sigma = PyROOTUtils.Band(masses, minus1sigmas, plus1sigmas, fillColor=R.kGreen)
#band_2sigma = PyROOTUtils.Band(masses, minus2sigmas, plus2sigmas, fillColor=R.kYellow)
band_1sigma = PyROOTUtils.Band(masses, minus1sig, plus1sig, fillColor=R.kGreen)
band_2sigma = PyROOTUtils.Band(masses,
minus2sig,
plus2sig,
fillColor=R.kYellow)
# Prepare frame
hframe = R.TH1I("frame", "frame", 1, min(masses), max(masses))
