for metcut in binningMET:
observedlimit[bjb][htcut][metcut] = -1
expectedlimit[bjb][htcut][metcut] = -1
execfile(
"/afs/hephy.at/user/s/schoefbeck/www/systematicResults/systematics_htSig-"
+ str(htcut) + "_metSig-" + str(metcut) + ".py")
for mode in ["Mu", "Ele"]:
totalSysUncert2 = 0.
for sys in largestAbsDoubleRatioDeviation.keys():
uncert = min(
largestAbsDoubleRatioDeviation[sys][mode][bjb],
largestAbsSingleRatioDeviation[sys][mode][bjb])
print mode, "DR.-Sys:", "htSig-" + str(
htcut) + "_metSig-" + str(
metcut), "sys", sys, "bjb", bjb, niceNum(
largestAbsDoubleRatioDeviation[sys][mode]
[bjb]), "SR.-Sys:", niceNum(
largestAbsSingleRatioDeviation[sys]
[mode][bjb]), "picked:", niceNum(
uncert)
totalSysUncert2 += uncert**2
totalSysUncert[mode][bjb][htcut][metcut] = {
"MC":
sqrt(totalSysUncert2 + relStatErrMC[mode][bjb]**2),
"Data":
sqrt(totalSysUncert2 + relStatErrData[mode][bjb]**2)
}
print mode, "Total sys. uncert. for ", "htSig-" + str(
htcut) + "_metSig-" + str(
metcut), "bjb", bjb, ": MC", niceNum(
# res[15]+=weight*n
# niceName["15"] ="...&&650<HT && 5.5<METsig "
print
nstring = " & "
for sample in allSamples:
nstring+=" \multicolumn{2}{c}{"+sample["name"]+"} &"
nstring = nstring[:-1]+"\\hline\\\\"
print nstring
for nr in range(0,100):
sstring = ""
if niceName.has_key(str(nr)):
sstring += niceName[str(nr)]+" & "
for sample in allSamples:
sstring+=niceNum(res[sample["name"]][nr])+"&"+niceNum(100*res[sample["name"]][nr]/res[sample["name"]][0])+"\\% &"
sstring = sstring[:-1]+"\\\\"
print sstring
#for thisbin in sample["bins"]:
# c = ROOT.TChain("pfRA4Analyzer/Events")
## for thisbin in sample["bins"]:
# print "Adding thisbin",thisbin
# c.Add(sample["dirname"]+thisbin+"/*.root")
# c.Draw(">>eList",commoncf+"&&"+"jet3pt>40&&ngoodMuons==1&&ngoodElectrons==0&&nvetoMuons==1&&nvetoElectrons==0&&ht>300&&met>150")
# elist = ROOT.gDirectory.Get("eList")
# number_events = elist.GetN()
# for i in range(0, number_events):
# c.GetEntry(elist.GetEntry(i))
# print "event, run, lumiblock: ", int(c.GetLeaf("event").GetValue()), int(c.GetLeaf("run").GetValue()), int(c.GetLeaf("lumiblock").GetValue())
# print "met, lepton-pt, ht :", niceNum(c.GetLeaf("met").GetValue() ) , niceNum(c.GetLeaf("lepton_pt").GetValue()) , niceNum(c.GetLeaf("ht").GetValue() )
# res[15]+=weight*n
# niceName["15"] ="...&&650<HT && 5.5<METsig "
print
nstring = " & "
for sample in allSamples:
nstring += " \multicolumn{2}{c}{" + sample["name"] + "} &"
nstring = nstring[:-1] + "\\hline\\\\"
print nstring
for nr in range(0, 100):
sstring = ""
if niceName.has_key(str(nr)):
sstring += niceName[str(nr)] + " & "
for sample in allSamples:
sstring += niceNum(res[sample["name"]][nr]) + "&" + niceNum(
100 * res[sample["name"]][nr] /
res[sample["name"]][0]) + "\\% &"
sstring = sstring[:-1] + "\\\\"
print sstring
#for thisbin in sample["bins"]:
# c = ROOT.TChain("pfRA4Analyzer/Events")
## for thisbin in sample["bins"]:
# print "Adding thisbin",thisbin
# c.Add(sample["dirname"]+thisbin+"/*.root")
# c.Draw(">>eList",commoncf+"&&"+"jet3pt>40&&ngoodMuons==1&&ngoodElectrons==0&&nvetoMuons==1&&nvetoElectrons==0&&ht>300&&met>150")
# elist = ROOT.gDirectory.Get("eList")
# number_events = elist.GetN()
# for i in range(0, number_events):
# c.GetEntry(elist.GetEntry(i))
# print "...&&300<HT<650 && 5.5<METsig", n, "(",weight*n,")",round(100*weight*n/(basis),2),"%"
# res[14]+=weight*n
# niceName["14"] ="...&&300<HT<650 && 5.5<METsig"
#
#
# n = c.GetEntries(commoncf+"&&"+"ngoodMuons==1&&ngoodElectrons==0&&jet3pt>30.&& 650<ht && 5.5<kinMetSig")
# print "...&&650<HT && 5.5<METsig ", n, "(",weight*n,")",round(100*weight*n/(basis),2),"%"
# res[15]+=weight*n
# niceName["15"] ="...&&650<HT && 5.5<METsig"
basis = res[0]
print
for nr in range(len(res)):
sstring = ""
if niceName.has_key(str(nr)):
sstring += niceName[str(nr)]
print sstring+" "+niceNum(res[nr])+" "+niceNum(100*res[nr]/basis)+"%"
#for thisbin in sample["bins"]:
# c = ROOT.TChain("pfRA4Analyzer/Events")
## for thisbin in sample["bins"]:
# print "Adding thisbin",thisbin
# c.Add(sample["dirname"]+thisbin+"/*.root")
# c.Draw(">>eList",commoncf+"&&"+"jet3pt>40&&ngoodMuons==1&&ngoodElectrons==0&&nvetoMuons==1&&nvetoElectrons==0&&ht>300&&met>150")
# elist = ROOT.gDirectory.Get("eList")
# number_events = elist.GetN()
# for i in range(0, number_events):
# c.GetEntry(elist.GetEntry(i))
# print "event, run, lumiblock: ", int(c.GetLeaf("event").GetValue()), int(c.GetLeaf("run").GetValue()), int(c.GetLeaf("lumiblock").GetValue())
# print "met, lepton-pt, ht :", niceNum(c.GetLeaf("met").GetValue() ) , niceNum(c.GetLeaf("lepton_pt").GetValue()) , niceNum(c.GetLeaf("ht").GetValue() )
# print "jet0pt, jet1pt, jet2pt, jet3pt:", niceNum(c.GetLeaf("jet0pt").GetValue()) , niceNum(c.GetLeaf("jet1pt").GetValue() ) , niceNum(c.GetLeaf("jet2pt").GetValue()), niceNum( c.GetLeaf("jet3pt").GetValue())
# print
xbin = h.GetXaxis().FindBin(mbin)
ybin = h.GetYaxis().FindBin(hbin)
rescale = h.GetXaxis().GetBinWidth(xbin) * h.GetYaxis().GetBinWidth(ybin)
h.SetBinContent(h.FindBin(mbin, hbin), h.GetBinContent(h.FindBin(mbin, hbin)) / rescale)
h = htVSkinMetSig["data"][bjb].data_histo
h.SetBinContent(h.FindBin(mbin, hbin), h.GetBinContent(h.FindBin(mbin, hbin)) / rescale)
metpos = var.data_histo.GetXaxis().GetBinCenter(var.data_histo.GetXaxis().FindBin(mbin))
hpos = var.data_histo.GetYaxis().GetBinCenter(var.data_histo.GetYaxis().FindBin(hbin))
if hbin > binningHT[0] and mbin > binningkinMetSig[0]:
htVSkinMetSig["mc"][bjb].lines.append(
[
metpos,
hpos,
"#splitline{"
+ str(niceNum(res["mc"][bjb][hbin][mbin])).replace(" ", "")
+ "}{("
+ str(niceNum(res["pred"][bjb][hbin][mbin])).replace(" ", "")
+ ")}",
0.02,
22,
False,
]
)
# print "Appending MC",hbin,mbin,"#splitline{"+str(niceNum(res["mc"][bjb][hbin][mbin])).replace(" ","")+"}{("+str(niceNum(res["pred"][bjb][hbin][mbin])).replace(" ","")+")}"
htVSkinMetSig["data"][bjb].lines.append(
[
metpos,
hpos,
"#splitline{"
+ str(niceNum(res["data"][bjb][hbin][mbin])).replace(" ", "")
totalSysUncert["Mu"][bjb] = {}
totalSysUncert["Ele"][bjb] = {}
for htcut in binningHT:
observedlimit[bjb][htcut]={}
expectedlimit[bjb][htcut]={}
totalSysUncert["Mu" ][bjb][htcut] = {}
totalSysUncert["Ele"][bjb][htcut] = {}
for metcut in binningMET:
observedlimit[bjb][htcut][metcut]=-1
expectedlimit[bjb][htcut][metcut]=-1
execfile("/afs/hephy.at/user/s/schoefbeck/www/systematicResults/systematics_htSig-"+str(htcut)+"_metSig-"+str(metcut)+".py")
for mode in ["Mu", "Ele"]:
totalSysUncert2 = 0.
for sys in largestAbsDoubleRatioDeviation.keys():
uncert = min(largestAbsDoubleRatioDeviation[sys][mode][bjb], largestAbsSingleRatioDeviation[sys][mode][bjb])
print mode, "DR.-Sys:", "htSig-"+str(htcut)+"_metSig-"+str(metcut),"sys",sys,"bjb",bjb,niceNum(largestAbsDoubleRatioDeviation[sys][mode][bjb]), "SR.-Sys:", niceNum(largestAbsSingleRatioDeviation[sys][mode][bjb]), "picked:",niceNum(uncert)
totalSysUncert2+=uncert**2
totalSysUncert[mode][bjb][htcut][metcut] = {"MC":sqrt(totalSysUncert2 + relStatErrMC[mode][bjb]**2), "Data":sqrt(totalSysUncert2 + relStatErrData[mode][bjb]**2)}
print mode, "Total sys. uncert. for ","htSig-"+str(htcut)+"_metSig-"+str(metcut), "bjb",bjb,": MC", niceNum(totalSysUncert[mode][bjb][htcut][metcut]["MC"]),"Data:",niceNum(totalSysUncert[mode][bjb][htcut][metcut]["Data"]),"stat.uncert: MC:",niceNum(relStatErrMC[mode][bjb]),"Data:",niceNum(relStatErrData[mode][bjb])
nSig = bkgYield["Mu"][bjb][htcut][metcut] + bkgYield["Ele"][bjb][htcut][metcut]
epsilon = 0.2
nSig_Err = sqrt((totalSysUncert["Mu"][bjb][htcut][metcut]["MC"]*bkgYield["Mu"][bjb][htcut][metcut])**2 + (totalSysUncert["Ele"][bjb][htcut][metcut]["MC"]*bkgYield["Ele"][bjb][htcut][metcut])**2)
# precision = 0.008
precision = 0.025
cl = 0.95
expectedlimit[bjb][htcut][metcut] = BayesianUpperLimit(int(nSig),epsilon,nSig,nSig_Err,cl,precision)
nSigObserved = dataCount["Mu"][bjb] + dataCount["Ele"][bjb]
nSigPredicted = dataPrediction["Mu"][bjb] + dataPrediction["Ele"][bjb]
# print "...&&300<HT<650 && 5.5<METsig", n, "(",weight*n,")",round(100*weight*n/(basis),2),"%"
# res[14]+=weight*n
# niceName["14"] ="...&&300<HT<650 && 5.5<METsig"
#
#
# n = c.GetEntries(commoncf+"&&"+"ngoodMuons==1&&ngoodElectrons==0&&jet3pt>30.&& 650<ht && 5.5<kinMetSig")
# print "...&&650<HT && 5.5<METsig ", n, "(",weight*n,")",round(100*weight*n/(basis),2),"%"
# res[15]+=weight*n
# niceName["15"] ="...&&650<HT && 5.5<METsig"
basis = res[0]
print
for nr in range(len(res)):
sstring = ""
if niceName.has_key(str(nr)):
sstring += niceName[str(nr)]
print sstring + " " + niceNum(res[nr]) + " " + niceNum(100 * res[nr] / basis) + "%"
# for thisbin in sample["bins"]:
# c = ROOT.TChain("pfRA4Analyzer/Events")
## for thisbin in sample["bins"]:
# print "Adding thisbin",thisbin
# c.Add(sample["dirname"]+thisbin+"/*.root")
# c.Draw(">>eList",commoncf+"&&"+"jet3pt>40&&ngoodMuons==1&&ngoodElectrons==0&&nvetoMuons==1&&nvetoElectrons==0&&ht>300&&met>150")
# elist = ROOT.gDirectory.Get("eList")
# number_events = elist.GetN()
# for i in range(0, number_events):
# c.GetEntry(elist.GetEntry(i))
# print "event, run, lumiblock: ", int(c.GetLeaf("event").GetValue()), int(c.GetLeaf("run").GetValue()), int(c.GetLeaf("lumiblock").GetValue())
# print "met, lepton-pt, ht :", niceNum(c.GetLeaf("met").GetValue() ) , niceNum(c.GetLeaf("lepton_pt").GetValue()) , niceNum(c.GetLeaf("ht").GetValue() )
# print "jet0pt, jet1pt, jet2pt, jet3pt:", niceNum(c.GetLeaf("jet0pt").GetValue()) , niceNum(c.GetLeaf("jet1pt").GetValue() ) , niceNum(c.GetLeaf("jet2pt").GetValue()), niceNum( c.GetLeaf("jet3pt").GetValue())
# print
if btb == "4p":
print "\\hline\\multicolumn{15}{c}{$\\HT>" + str(
htb) + "$, \\fourTag}\\\\\\hline"
for metb in [150, 250, 350, 450]:
# md = "MC_predictedYield_fromb2_METshapeSpFUncorr"
suffix = "Uncorr"
md = "MC_predictedYield_fromb2_METshapeSpF" + suffix
res = yields[btb]["SF"][htb][metb][md]
sysErr_b_Up = yields[btb]["SF_b_Up"][htb][metb][md] - res
sysErr_b_Down = yields[btb]["SF_b_Down"][htb][metb][md] - res
sysErr_light_Up = yields[btb]["SF_light_Up"][htb][metb][md] - res
sysErr_light_Down = yields[btb]["SF_light_Down"][htb][metb][
md] - res
sigmaStat = sqrt(yields[btb]["SF"][htb][metb]
["Var_MC_predictedYield_fromb2_METshapeSpFCorr"])
sstring = "$" + niceNum(res).rstrip() + "$&${}^{" + niceNum(
sysErr_b_Up, 2, True) + "}_{" + niceNum(
sysErr_b_Down, 2, True) + "}$"
sstring += "&${}^{" + niceNum(
sysErr_light_Up, 2, True) + "}_{" + niceNum(
sysErr_light_Down, 2, True) + "}$&$\pm$&$" + niceNum(
sigmaStat, 2) + "$"
#predicted from higher btb bin
md = "MC_predictedYield_frombtb_METshapeSpF" + suffix
res = yields[btb]["SF"][htb][metb][md]
relStatErr = 1. / sqrt(controlYield[btb][mode][htb]["MC"])
sstring += "&$" + niceNum(res) + "$&$\pm$&$" + niceNum(
res * relStatErr, 2) + "$"
#MC truth yield
sstring += "&$" + niceNum(
yields[btb]["SF"][htb][metb]["MC"]) + "$&$\pm$&$" + niceNum(
for htb in htbins_table:
if btb=="3":
print "\\hline\\multicolumn{15}{c}{$\\HT>"+str(htb)+"$, \\threeTag}\\\\\\hline"
if btb=="4p":
print "\\hline\\multicolumn{15}{c}{$\\HT>"+str(htb)+"$, \\fourTag}\\\\\\hline"
for metb in [150, 250, 350, 450]:
# md = "MC_predictedYield_fromb2_METshapeSpFUncorr"
suffix = "Uncorr"
md = "MC_predictedYield_fromb2_METshapeSpF"+suffix
res = yields[btb]["SF"][htb][metb][md]
sysErr_b_Up = yields[btb]["SF_b_Up"][htb][metb][md] - res
sysErr_b_Down = yields[btb]["SF_b_Down"][htb][metb][md] - res
sysErr_light_Up = yields[btb]["SF_light_Up"][htb][metb][md] - res
sysErr_light_Down = yields[btb]["SF_light_Down"][htb][metb][md] - res
sigmaStat = sqrt(yields[btb]["SF"][htb][metb]["Var_MC_predictedYield_fromb2_METshapeSpFCorr"])
sstring = "$"+niceNum(res).rstrip()+"$&${}^{"+niceNum(sysErr_b_Up,2,True)+"}_{"+niceNum(sysErr_b_Down,2,True)+"}$"
sstring += "&${}^{"+niceNum(sysErr_light_Up,2,True)+"}_{"+niceNum(sysErr_light_Down,2,True)+"}$&$\pm$&$"+niceNum(sigmaStat, 2)+"$"
#predicted from higher btb bin
md = "MC_predictedYield_frombtb_METshapeSpF"+suffix
res = yields[btb]["SF"][htb][metb][md]
relStatErr = 1./sqrt(controlYield[btb][mode][htb]["MC"])
sstring+="&$"+niceNum(res)+"$&$\pm$&$"+niceNum(res*relStatErr, 2)+"$"
#MC truth yield
sstring+="&$"+niceNum(yields[btb]["SF"][htb][metb]["MC"])+"$&$\pm$&$"+niceNum(sqrt(yields[btb]["SF"][htb][metb]["Var_MC"]), 2)+"$"
#signal yield
sstring+="&$"+niceNum(yields[btb]["SF"][htb][metb]["signal"])+"$&$\pm$&$"+niceNum(sqrt(yields[btb]["SF"][htb][metb]["Var_signal"]), 2)+"$\\\\"
print "$\\ETmiss>"+str(metb)+"$&"+sstring
# res = yields[btb]["SF"][htb][metb]["corr"]
# print "\nHT/MET >= ", htb, metb,"nControl(data, btb=2)", controlYield[htb]['SF']["2"]["data"], "nControl(data, btb="+btb+")", controlYield[htb]['SF'][btb]["data"], "nSig(data)", yields[htb][mode][btb][metb]["data"]
# print "high sys. low stat:",niceNum(res)+"+/-"+niceNum(max(deltap), 3)+"+/-"+niceNum(res* 1./sqrt(max(1, controlYield[htb]['SF']["2"]["data"])),3)
