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Comparing UserCode/cbrown/Development/Plotting/Modules/EdgeLimit.C (file contents):
Revision 1.3 by buchmann, Mon Jun 18 07:51:38 2012 UTC vs.
Revision 1.10 by buchmann, Tue Jun 11 19:27:47 2013 UTC

#	Line 1 | Line 1
1		#include <iostream>
2
3	+	#include <TVirtualIndex.h>
4	+
5		#include <RooRealVar.h>
6		#include <RooArgSet.h>
7		#include <RooDataSet.h>
8	<	#include <RooRealVar.h>
9	<	#include <RooArgSet.h>
10	<	#include <RooDataSet.h>
8	>	#include <RooMCStudy.h>
9	>	#include <RooCategory.h>
10	>
11	>	#include <RooPlot.h>
12	>	#include <RooSimultaneous.h>
13	>	#include <RooAddPdf.h>
14	>	#include <RooFitResult.h>
15	>	#include <RooVoigtian.h>
16	>	#include <RooMsgService.h>
17	>
18		#include <RooStats/ModelConfig.h>
19		#include "RooStats/ProfileLikelihoodCalculator.h"
20		#include "RooStats/LikelihoodInterval.h"
#	Line 15 | Line 24
24		#include "RooStats/HybridCalculatorOriginal.h"
25		#include "RooStats/HypoTestInverterOriginal.h"
26
27	+	//#include "ParametrizedEdge.C"
28	+	#include "EdgeModules/RooSUSYTPdf.cxx"
29	+	#include "EdgeModules/RooSUSYBkgPdf.cxx"
30	+
31
32		using namespace std;
33		using namespace PlottingSetup;
#	Line 40 | Line 53 | namespace EdgeFitter {
53
54		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree*);
55		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, vector<float> jzb_cut, int is_data, TCut cut, TTree*);
56	+	void getMedianLimit(RooWorkspace *ws,vector<RooDataSet> theToys,float &median,float &sigmaDown, float &sigmaUp, float &twoSigmaDown, float &twoSigmaUp);
57		void InitializeVariables(float _mllmin, float _mllmax, float _jzbmax, TCut _cut);
58		void PrepareDatasets(int);
59	<	void DoFit();
59	>	void DoFit(int is_data, float jzb_cut);
60		string RandomStorageFile();
61		Yield Get_Z_estimate(float,int);
62		Yield Get_T_estimate(float,int);
63	<	float SetEdgeLimit(int , RooWorkspace *ws);
63	>	float calcExclusion(RooWorkspace *ws, RooDataSet data, bool calcExclusion);
64	>	vector<RooDataSet> generateToys(RooWorkspace *ws, int nToys);
65	>	void prepareLimits(RooWorkspace *ws, bool ComputeBands);
66	>	TGraph* prepareLM(float mass, float nEv);
67
68		float jzbmax;
69		float mllmin;
#	Line 54 | Line 71 | namespace EdgeFitter {
71		TCut cut;
72
73		RooDataSet* AllData;
74	<	RooDataSet* eeSample;
75	<	RooDataSet* mmSample;
59	<	RooDataSet* emSample;
74	>	RooDataSet* SFSample;
75	>	RooDataSet* OFSample;
76
77	<	bool MarcoDebug;
77	>	bool MarcoDebug=true;
78	>	}
79	>
80	>	TGraph* EdgeFitter::prepareLM(float mass, float nEv) {
81	>	float massLM[1];
82	>	massLM[0]=mass;
83	>	float accEffLM[1];
84	>	accEffLM[0]=nEv/PlottingSetup::luminosity;
85	>	TGraph *lm = new TGraph(1, massLM, accEffLM);
86	>	lm->GetXaxis()->SetNoExponent(true);
87	>	lm->GetXaxis()->SetTitle("m_{cut} [GeV]");
88	>	lm->GetYaxis()->SetTitle("#sigma #times A [pb] 95% CL UL");
89	>	lm->GetXaxis()->SetLimits(0.,300.);
90	>	lm->GetYaxis()->SetRangeUser(0.,0.08);
91	>	lm->SetMarkerStyle(34);
92	>	lm->SetMarkerColor(kRed);
93	>	return lm;
94	>	}
95	>
96	>	vector<RooDataSet> EdgeFitter::generateToys(RooWorkspace *ws, int nToys) {
97	>	ws->ls();
98	>	ws->var("nSig")->setVal(0.);
99	>	ws->var("nSig")->setConstant(true);
100	>	RooFitResult* fit = ws->pdf("combModel")->fitTo(*ws->data("data_obs"),RooFit::Save());
101	>	vector<RooDataSet> theToys;
102	>
103	>	RooMCStudy mcEE(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"EE"));
104	>	mcEE.generate(nToys,44,true);
105	>	RooMCStudy mcMM(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"MM"));
106	>	mcMM.generate(nToys,44,true);
107	>	RooMCStudy mcOSOF(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"OSOF"));
108	>	mcOSOF.generate(nToys,44,true);
109	>
110	>	RooRealVar mll("m_{ll}","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
111	>	RooRealVar id1("id1","id1",0,1,"GeV/c^{2}");
112	>	RooRealVar id2("id2","id2",0,1,"GeV/c^{2}");
113	>	RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
114	>	RooRealVar weight("weight","weight",0,1000,"");
115	>	RooArgSet observables(mll,jzb,id1,id2,weight);
116	>
117	>	for(int i=0;i<nToys;i++) {
118	>	RooDataSet* toyEE    = (RooDataSet*)mcEE.genData(i);
119	>	RooDataSet* toyMM    = (RooDataSet*)mcMM.genData(i);
120	>	RooDataSet* toyOSOF  = (RooDataSet*)mcOSOF.genData(i);
121	>	stringstream toyname;
122	>	toyname << "theToy_" << i;
123	>	write_warning(__FUNCTION__,"Problem while adding toys");
124	>	RooDataSet toyData = RooDataSet(toyname.str().c_str(),toyname.str().c_str(),observables,RooFit::Index(const_cast<RooCategory&>(*ws->cat("cat"))),RooFit::Import("OSOF",*toyOSOF),RooFit::Import("EE",*toyEE),RooFit::Import("MM",*toyMM));
125	>	theToys.push_back(toyData);
126	>	}
127	>	ws->var("nSig")->setVal(17.0);
128	>	ws->var("nSig")->setConstant(false);
129	>	return theToys;
130		}
131
132	<	float EdgeFitter::SetEdgeLimit(int is_data, RooWorkspace *ws) {
132	>	void EdgeFitter::getMedianLimit(RooWorkspace *ws,vector<RooDataSet> theToys,float &median,float &sigmaDown, float &sigmaUp, float &twoSigmaDown, float &twoSigmaUp) {
133	>	TH1F *gauLimit = new TH1F("gausLimit","gausLimit",60,0.,80./PlottingSetup::luminosity);
134	>	vector<float> theLimits;
135	>	for(int itoy=0;itoy<(int)theToys.size();itoy++) {
136	>	float theLimit = calcExclusion(ws,theToys[itoy],false);
137	>	if(theLimit > 0 ) gauLimit->Fill(theLimit);
138	>	}
139	>	const Int_t nQ = 4;
140	>	Double_t yQ[nQ] = {0.,0.,0.,0.};
141	>	Double_t xQ[nQ] = {0.022750132,0.1586552539,0.84134474609999998,0.977249868};
142	>	gauLimit->GetQuantiles(nQ,yQ,xQ);
143	>	median = gauLimit->GetMean();
144	>	//  median = median1(gauLimit);
145	>	twoSigmaDown = abs(yQ[0]-median);
146	>	sigmaDown = abs(yQ[1]-median);
147	>	sigmaUp = abs(yQ[2]-median);
148	>	twoSigmaUp = abs(yQ[3]-median);
149	>	cout << median * PlottingSetup::luminosity << " " << sigmaUp * PlottingSetup::luminosity << endl;
150	>	}
151	>
152	>	void EdgeFitter::prepareLimits(RooWorkspace *ws, bool ComputeBands) {
153	>	if(ComputeBands) {
154	>	vector<RooDataSet> theToys = EdgeFitter::generateToys(ws,50);
155	>	vector<float> medVals;
156	>	vector<float> medLimits;
157	>	vector<float> sigmaLimitsDown;
158	>	vector<float> sigmaLimitsUp;
159	>	vector<float> twoSigmaLimitsDown;
160	>	vector<float> twoSigmaLimitsUp;
161	>	for(int i=20;i<=320;i+=40) {
162	>	ws->var("nSig")->setVal(10.0);
163	>	medVals.push_back((float)i);
164	>	ws->var("m0")->setVal((float)i);
165	>	ws->var("m0")->setConstant(true);
166	>	float Smedian,SsigmaDown,SsigmaUp,StwoSigmaDown,StwoSigmaUp;
167	>	EdgeFitter::getMedianLimit(ws,theToys,Smedian,SsigmaDown,SsigmaUp,StwoSigmaDown,StwoSigmaUp);
168	>	medLimits.push_back(Smedian);
169	>	sigmaLimitsDown.push_back(SsigmaDown);
170	>	sigmaLimitsUp.push_back(SsigmaUp);
171	>	twoSigmaLimitsDown.push_back(StwoSigmaDown);
172	>	twoSigmaLimitsUp.push_back(StwoSigmaUp);
173	>	}
174	>	write_warning(__FUNCTION__,"Still need to store limits");
175	>	} else {
176	>	vector<float> theVals;
177	>	vector<float> theLimits;
178	>	for(int i=20;i<300;i+=5) {
179	>	ws->var("nSig")->setVal(0.0);
180	>	theVals.push_back((float)i);
181	>	ws->var("m0")->setVal((float)i);
182	>	ws->var("m0")->setConstant(true);
183	>	//      theLimits.push_back(calcExclusion(ws,(RooDataSet)*ws->data("data_obs"),true));
184	>	write_error(__FUNCTION__,"Error while casting roo data set");
185	>	}
186	>
187	>	for(int i=0;i<(int)theLimits.size();i++) {
188	>	if((theLimits[i]<2.0/PlottingSetup::luminosity)||(theLimits[i]>40.0/PlottingSetup::luminosity)) {
189	>	cout << i << " : " << theVals[i] << endl;
190	>	theLimits[i] = (theLimits[i+2]+theLimits[i-2])/2.0;
191	>	write_warning(__FUNCTION__,"Need to store limits");
192	>	}
193	>	write_warning(__FUNCTION__,"Need to store limits");
194	>	}
195	>	}
196	>	}
197	>
198	>
199	>	float EdgeFitter::calcExclusion(RooWorkspace *ws, RooDataSet data, bool LoadDataObs) {
200	>	int numberOfToys=50;
201		RooRealVar mu("mu","nSig",0,10000,"");
202		RooArgSet poi = RooArgSet(mu);
203		RooArgSet *nullParams = (RooArgSet*)poi.snapshot();
#	Line 70 | Line 206 | float EdgeFitter::SetEdgeLimit(int is_da
206		model->SetWorkspace(*ws);
207		model->SetPdf("combModel");
208		model->SetParametersOfInterest(poi);
209	<	RooAbsData* data = ws->data("data_obs");
209	>	//  if(LoadDataObs) data = (RooDataSet)*ws->data("data_obs");
210
211	<	RooStats::ProfileLikelihoodCalculator plc(*data, *model);
211	>	RooStats::ProfileLikelihoodCalculator plc(data, *model);
212		plc.SetNullParameters(*nullParams);
213		plc.SetTestSize(0.05);
214	+
215		RooStats::LikelihoodInterval* interval = plc.GetInterval();
216		RooStats::HypoTestResult *htr = plc.GetHypoTest();
217		double theLimit = interval->UpperLimit( mu );
218	<	cout << "Significance " << htr->Significance() << endl;
218	>	//  double significance = htr->Significance();
219
220		ws->defineSet("obs","nB");
221		ws->defineSet("poi","nSig");
#	Line 102 | Line 239 | RooAbsData* data = ws->data("data_obs");
239		slrts.SetAltParameters(*sb_model.GetSnapshot());
240		RooStats::ProfileLikelihoodTestStat profll = RooStats::ProfileLikelihoodTestStat(*b_model.GetPdf());
241
242	<	RooStats::HybridCalculatorOriginal hc = RooStats::HybridCalculatorOriginal(*data, sb_model, b_model,0,0);
242	>	RooStats::HybridCalculatorOriginal hc = RooStats::HybridCalculatorOriginal(data, sb_model, b_model,0,0);
243		hc.SetTestStatistic(2);
244	<	hc.SetNumberOfToys(50);
108	<
244	>	hc.SetNumberOfToys(numberOfToys);
245
246		RooStats::HypoTestInverterOriginal hcInv =  RooStats::HypoTestInverterOriginal(hc,*ws->var("nSig"));
247		hcInv.SetTestSize(0.05);
#	Line 128 | Line 264 | TTree* SkimTree(int isample) {
264		cout << "   Original tree contains " << allsamples.collection[isample].events->GetEntries() << endl;
265		cout << "   Going to reduce it with cut " << EdgeFitter::cut << endl;
266		}
267	+	float edgeWeight;
268	+	newTree->Branch("edgeWeight",&edgeWeight,"edgeWeight/F");
269	+	float tmll;
270	+	allsamples.collection[isample].events->SetBranchAddress("mll",&tmll);
271	+	//  int id1,id2;
272	+
273		TTreeFormula *select = new TTreeFormula("select", EdgeFitter::cut, allsamples.collection[isample].events);
274	+	TTreeFormula *Weight = new TTreeFormula("Weight", cutWeight, allsamples.collection[isample].events);
275		float wgt=1.0;
276	<	allsamples.collection[isample].events->SetBranchAddress(cutWeight,&wgt);
276	>	//  allsamples.collection[isample].events->SetBranchAddress(cutWeight,&wgt);
277		for (Int_t entry = 0 ; entry < allsamples.collection[isample].events->GetEntries() ; entry++) {
278		allsamples.collection[isample].events->LoadTree(entry);
279		if (select->EvalInstance()) {
280		allsamples.collection[isample].events->GetEntry(entry);
281	<	wgt=wgt*xsweight;
281	>	wgt=Weight->EvalInstance();
282	>	edgeWeight=wgt*xsweight;
283		newTree->Fill();
284		}
285		}
#	Line 150 | Line 294 | void EdgeFitter::InitializeVariables(flo
294		jzbmax=_jzbmax;
295		cut=_cut;
296		}
297	<
297	>
298	>	TTree* MergeTrees(vector<TTree*> trees) {
299	>	TTree * newtree = (TTree*)trees[0]->CloneTree();
300	>	trees[0]->GetListOfClones()->Remove(newtree);
301	>	trees[0]->ResetBranchAddresses();
302	>	newtree->ResetBranchAddresses();
303	>
304	>	for(int itree=1;itree<trees.size();itree++) {
305	>	newtree->CopyAddresses(trees[itree]);
306	>	Long64_t nentries = trees[itree]->GetEntries();
307	>	for (Long64_t iEntry=0;iEntry<nentries;iEntry++) {
308	>	trees[itree]->GetEntry(iEntry);
309	>	newtree->Fill();
310	>	}
311	>	trees[itree]->ResetBranchAddresses(); // Disconnect from new tree
312	>	if (newtree->GetTreeIndex()) {
313	>	newtree->GetTreeIndex()->Append(trees[itree]->GetTreeIndex(),kTRUE);
314	>	}
315	>	if (newtree && newtree->GetTreeIndex()) {
316	>	newtree->GetTreeIndex()->Append(0,kFALSE); // Force the sorting
317	>	}
318	>	}
319	>	return newtree;
320	>	}
321	>
322	>
323	>
324		void EdgeFitter::PrepareDatasets(int is_data) {
325	<	TTree *completetree;
326	<	bool hashit=0;
327	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
325	>	write_warning(__FUNCTION__,"Need to make this function ready for scans as well (use signal from scan samples)");
326	>	//  TFile *tempout = new TFile("tempout.root","RECREATE");
327	>	vector<TTree*> SkimmedTrees;
328	>	TTree *SkimmedTree[(int)allsamples.collection.size()];
329	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
330		if(!allsamples.collection[isample].is_active) continue;
331		if(is_data==1&&allsamples.collection[isample].is_data==false) continue;//kick all samples that aren't data if we're looking for data.
332		if(is_data==1&&allsamples.collection[isample].is_data==false) continue;//kick all samples that aren't data if we're looking for data.
333		if(is_data!=1&&allsamples.collection[isample].is_data==true) continue;//kick all data samples when looking for MC
334		if(is_data!=2&&allsamples.collection[isample].is_signal==true) continue;//remove signal sample if we don't want it.
335		if(EdgeFitter::MarcoDebug) cout << "Considering : " << allsamples.collection[isample].samplename << endl;
336	<	if(!hashit) {
337	<	hashit=true;
338	<	completetree = SkimTree(isample)->CloneTree();
339	<	} else {
340	<	completetree->CopyEntries(SkimTree(isample));
341	<	}
342	<	if(EdgeFitter::MarcoDebug) cout << "Complete tree now contains " << completetree->GetEntries() << " entries " << endl;
336	>	SkimmedTrees.push_back(SkimTree(isample));
337	>	//      SkimmedTree[isample] = SkimTree(isample);
338	>	//    tempout->cd();
339	>	//    SkimmedTree[isample]->Write();
340	>	//    treelist->Add(SkimmedTree[isample]);
341	>	//treelist->Add(SkimTree(isample));
342	>	//    allsamples.collection[isample].tfile->Close();
343		}
344
345	<	RooRealVar mll("mll","mll",mllmin,mllmax,"GeV/c^{2}");
345	>	TTree *completetree  = MergeTrees(SkimmedTrees);
346	>
347	>	//  for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
348	>	//    if(SkimmedTree[isample]) SkimmedTree[isample]->Delete();
349	>	//  }
350	>
351	>	if(EdgeFitter::MarcoDebug) cout << "Complete tree now contains " << completetree->GetEntries() << " entries " << endl;
352	>
353	>	RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
354		RooRealVar id1("id1","id1",0,1,"GeV/c^{2}");
355		RooRealVar id2("id2","id2",0,1,"GeV/c^{2}");
356	<	RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
357	<	RooRealVar weight("weight","weight",0,1000,"");
358	<	RooArgSet observables(mll,jzb,id1,id2,weight);
356	>	//RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
357	>	RooRealVar edgeWeight("edgeWeight","edgeWeight",0,1000,"");
358	>	RooArgSet observables(mll,id1,id2,edgeWeight);
359
360		string title="CMS Data";
361		if(is_data!=1) title="CMS SIMULATION";
362	<	RooDataSet LAllData("LAllData",title.c_str(),completetree,observables,"","weight");
362	>	RooDataSet LAllData("LAllData",title.c_str(),completetree,observables,"","edgeWeight");
363		completetree->Write();
364	<	//  delete completetree;
364	>	delete completetree;
365	>	//  tempout->Close();
366
367	<	EdgeFitter::eeSample = (RooDataSet*)LAllData.reduce("id1==id2&&id1==0");
368	<	EdgeFitter::mmSample = (RooDataSet*)LAllData.reduce("id1==id2&&id1==1");
188	<	EdgeFitter::emSample = (RooDataSet*)LAllData.reduce("id1!=id2");
367	>	EdgeFitter::SFSample = (RooDataSet*)LAllData.reduce("id1==id2");
368	>	EdgeFitter::OFSample = (RooDataSet*)LAllData.reduce("id1!=id2");
369		EdgeFitter::AllData  = (RooDataSet*)LAllData.reduce("id1!=id2||id1==id2");
370
371	<	eeSample->SetName("eeSample");
372	<	mmSample->SetName("mmSample");
193	<	emSample->SetName("emSample");
371	>	SFSample->SetName("SFSample");
372	>	OFSample->SetName("OFSample");
373		AllData->SetName("AllData");
374
375		if(EdgeFitter::MarcoDebug) {
376		cout << "Number of events in data sample = " << AllData->numEntries() << endl;
377	<	cout << "Number of events in ee sample = " << eeSample->numEntries() << endl;
378	<	cout << "Number of events in mm sample = " << mmSample->numEntries() << endl;
200	<	cout << "Number of events in em sample = " << emSample->numEntries() << endl;
377	>	cout << "Number of events in eemm sample = " << SFSample->numEntries() << endl;
378	>	cout << "Number of events in em sample = " << OFSample->numEntries() << endl;
379		}
380	+
381	+	}
382	+
383	+	string WriteWithError(float central, float error, int digits) {
384	+	float ref=central;
385	+	if(ref<0) ref=-central;
386	+	int HighestSigDigit = 0;
387	+	if(ref>1) HighestSigDigit = int(log(ref)/log(10))+1;
388	+	else HighestSigDigit = int(log(ref)/(log(10)));
389	+
390	+	float divider=pow(10.0,(double(HighestSigDigit-digits)));
391	+
392	+	stringstream result;
393	+	result << divider*int(central/divider+0.5) << " #pm " << divider*int(error/divider+0.5);
394	+	return result.str();
395		}
396
397	+
398		string EdgeFitter::RandomStorageFile() {
399		TRandom3 *r = new TRandom3(0);
400		int rho = (int)r->Uniform(1,10000000);
#	Line 213 | Line 407 | string EdgeFitter::RandomStorageFile() {
407		Yield EdgeFitter::Get_Z_estimate(float jzb_cut, int icut) {
408		if(MarcoDebug) write_error(__FUNCTION__,"Returning random Z yield");
409		Yield a(123,45,67); return a;
216	–
410		return PlottingSetup::allresults.predictions[icut].Zbkg;
411		}
412
#	Line 223 | Line 416 | Yield EdgeFitter::Get_T_estimate(float j
416		return PlottingSetup::allresults.predictions[icut].Flavorsym;
417		}
418
419	+	void EdgeFitter::DoFit(int is_data, float jzb_cut) {
420	+	RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
421	+	RooRealVar edgeWeight("edgeWeight","edgeWeight",0,1000,"");
422	+	RooCategory sample("sample","sample") ;
423	+	sample.defineType("SF");
424	+	//sample.defineType("mm");
425	+	sample.defineType("OF");
426	+
427	+	//RooDataSet combData("combData","combined data",mll,Index(sample),Import("SF",*SFSample),Import("mm",*mmSample),Import("OF",*OFSample));
428	+	RooDataSet combData("combData","combined data",RooArgSet(mll,edgeWeight),RooFit::Index(sample),RooFit::Import("SF",*SFSample),RooFit::Import("OF",*OFSample),RooFit::WeightVar(edgeWeight));
429	+
430	+
431	+	//First we make a fit to opposite flavor
432	+	RooRealVar fttbarOF("fttbarOF", "fttbarOF", 100, 0, 10000);
433	+	RooRealVar par1ttbarOF("par1ttbarOF", "par1ttbarOF", 1.6, 0.01, 4.0);
434	+	RooRealVar par2ttbarOF("par2ttbarOF", "par2ttbarOF", 1.0);
435	+	RooRealVar par3ttbarOF("par3ttbarOF", "par3ttbarOF", 0.028, 0.001, 1.0);
436	+	RooRealVar par4ttbarOF("par4ttbarOF", "par4ttbarOF", 2.0);
437	+	RooSUSYBkgPdf ttbarOF("ttbarOF","ttbarOF", mll , par1ttbarOF, par2ttbarOF, par3ttbarOF, par4ttbarOF);
438	+	RooAddPdf model_OF("model_OF","model_OF", ttbarOF, fttbarOF);
439	+	RooSimultaneous simPdfOF("simPdfOF","simultaneous pdf", sample) ;
440	+	simPdfOF.addPdf(model_OF,"OF");
441	+	RooFitResult *resultOF = simPdfOF.fitTo(combData, RooFit::Save());
442	+	resultOF->Print();
443	+
444	+	RooRealVar* resultOFpar1_ = (RooRealVar*) resultOF->floatParsFinal().find("par1ttbarOF");
445	+	float resultOFpar1 = resultOFpar1_->getVal();
446	+	//RooRealVar* resultOFpar2_ = (RooRealVar*) resultOF->floatParsFinal().find("par2ttbarOF");
447	+	//float resultOFpar2 = resultOFpar2_->getVal();
448	+	//cout << "caca2.txt" << endl;
449	+
450	+	RooRealVar* resultOFpar3_ = (RooRealVar*) resultOF->floatParsFinal().find("par3ttbarOF");
451	+	float resultOFpar3 = resultOFpar3_->getVal();
452	+
453	+	//RooRealVar* resultOFpar4_ = (RooRealVar*) resultOF->floatParsFinal().find("par4ttbarOF");
454	+	//float resultOFpar4 = resultOFpar4_->getVal();
455	+	//cout << "caca4.txt" << endl;
456	+
457	+
458	+	// Now same flavor
459	+	RooRealVar fzSF("fzSF", "fzSF", 5, 0, 100000);
460	+	RooRealVar meanzSF("meanzSF", "meanzSF", 91.1876, 89, 95);
461	+	//RooRealVar sigmazSF("sigmazSF", "sigmazSF", 0.5);
462	+	RooRealVar sigmazSF("sigmazSF", "sigmazSF", 5, 0.5, 5);
463	+	RooRealVar widthzSF("widthzSF", "widthzSF", 2.94);
464	+
465	+	RooRealVar fttbarSF("fttbarSF", "fttbarSF", 100, 0, 100000);
466	+	RooRealVar par1ttbarSF("par1ttbarSF", "par1ttbarSF", resultOFpar1, 0, 100);
467	+	RooRealVar par2ttbarSF("par2ttbarSF", "par2ttbarSF", 1.0);
468	+	RooRealVar par3ttbarSF("par3ttbarSF", "par3ttbarSF", resultOFpar3, 0, 100);
469	+	RooRealVar par4ttbarSF("par4ttbarSF", "par4ttbarSF", 2.0);
470	+
471	+	RooRealVar fsignalSF("fsignalSF", "fsignalSF", 10, 0, 300);
472	+	RooRealVar par1signalSF("par1signalSF", "par1signalSF", 45, 20, 100);
473	+	RooRealVar par2signalSF("par2signalSF", "par2signalSF", 2, 1, 10);
474	+	RooRealVar par3signalSF("par3signalSF", "par3signalSF", 70, 0, 300);
475	+
476	+	RooVoigtian zSF("zSF", "zSF", mll, meanzSF, widthzSF, sigmazSF);
477	+
478	+
479	+	RooSUSYBkgPdf ttbarSF("ttbarSF","ttbarSF", mll , par1ttbarSF, par2ttbarSF, par3ttbarSF, par4ttbarSF);
480	+	//RooSUSYTPdf signalSF("signalSF","signalSF", mll , par1signalSF, par2signalSF, par3signalSF);
481	+	RooSUSYTPdf signalSF("signalSF","signalSF", mll , par1signalSF, sigmazSF, par3signalSF);
482	+
483	+	/*  par1ttbarSF.setConstant(true);
484	+	par2ttbarSF.setConstant(true);
485	+	par3ttbarSF.setConstant(true);
486	+	par4ttbarSF.setConstant(true);*/
487	+
488	+
489	+	//RooAddPdf model_SF("model_SF","model_SF", RooArgList(zSF, ttbarSF, signalSF), RooArgList(fzSF, fttbarSF, fsignalSF));
490	+	RooAddPdf model_SF("model_SF","model_SF", RooArgList(zSF, ttbarSF, signalSF), RooArgList(fzSF, fttbarSF, fsignalSF));
491	+	RooAddPdf model_em("model_em","model_em", RooArgList(ttbarSF), RooArgList(fttbarSF));
492	+
493	+
494	+	RooSimultaneous simPdf("simPdf","simultaneous pdf",sample) ;
495	+	simPdf.addPdf(model_SF,"SF") ;
496	+	simPdf.addPdf(model_em,"em") ;
497	+
498	+	RooFitResult *result = simPdf.fitTo(combData, RooFit::Save());
499	+	result->Print();
500	+
501	+	RooPlot* frame1 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("EE sample")) ;
502	+	frame1->GetXaxis()->CenterTitle(1);
503	+	combData.plotOn(frame1,RooFit::Cut("sample==sample::SF")) ;
504	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
505	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Components("ttbarSF"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
506	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Components("zSF"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kRed));
507	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Components("signalSF"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kGreen));
508	+
509	+
510	+
511	+	cout << "Result   : " << endl;
512	+	cout << "f signal : " << fsignalSF.getVal() << " +/- " << fsignalSF.getError() << endl;
513	+	cout << "f ttbar  : " << fttbarSF.getVal() << " +/- " << fttbarSF.getError() << endl;
514	+	cout << "f tt OF  : " << fttbarOF.getVal() << " +/- " << fttbarOF.getError() << endl;
515	+	cout << "f z SF   : " << fzSF.getVal() << " +/- " << fzSF.getError() << endl;
516	+
517	+	// The same plot for the cointrol sample slice
518	+	RooPlot* frame3 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("OF sample")) ;
519	+	frame3->GetXaxis()->CenterTitle(1);
520	+	frame3->SetMaximum(frame1->GetMaximum());
521	+	combData.plotOn(frame3,RooFit::Cut("sample==sample::OF")) ;
522	+	simPdfOF.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
523	+	simPdfOF.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::Components("ttbarOF"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
524	+
525	+
526	+	stringstream prefix;
527	+	if(is_data==data) prefix << "data_";
528	+	if(is_data==mc) prefix << "mc_";
529	+	if(is_data==mcwithsignal) prefix << "mcwithS_";
530	+
531	+	prefix << "JZB_" << jzb_cut;
532	+
533	+
534	+
535	+	TCanvas* c = new TCanvas("rf501_simultaneouspdf","rf403_simultaneouspdf") ;
536	+	c->cd() ;
537	+	gPad->SetLeftMargin(0.15);
538	+	frame1->GetYaxis()->SetTitleOffset(1.4);
539	+	frame1->Draw();
540	+	if(is_data==data) DrawPrelim();
541	+	else DrawPrelim(PlottingSetup::luminosity,true);
542	+	stringstream infotext;
543	+	infotext << "#splitline{Fit results (JZB>" << jzb_cut << "): }{#splitline{";
544	+	infotext << "N(Data) = " << combData.sumEntries() << "}{#splitline{";
545	+	infotext << "N(Z+Jets) = " << WriteWithError(fzSF.getVal(),fzSF.getError(),3) << "}{#splitline{";
546	+	infotext << "N(t#bar{t}) = " << WriteWithError(fttbarSF.getVal(),fttbarSF.getError(),3) << "}{#splitline{";
547	+	infotext << "N(signal) = " << WriteWithError(fsignalSF.getVal(),fsignalSF.getError(),3) << "}{";
548	+	infotext << "m_{edge} = " << WriteWithError(par3signalSF.getVal(),par3signalSF.getError(),3) << "}}}}}";
549	+
550	+	TLatex *infobox = new TLatex(0.57,0.75,infotext.str().c_str());
551	+	infobox->SetNDC();
552	+	infobox->SetTextSize(0.03);
553	+	infobox->Draw();
554	+	CompleteSave(c,"Edge/"+prefix.str()+"_SF");
555	+	delete c;
556	+
557	+	TCanvas* e = new TCanvas("rf501_simultaneouspdfem","rf403_simultaneouspdfem") ;
558	+	e->cd();
559	+	gPad->SetLeftMargin(0.15);
560	+	frame3->GetYaxis()->SetTitleOffset(1.4);
561	+	frame3->Draw();
562	+	if(is_data==data) DrawPrelim();
563	+	else DrawPrelim(PlottingSetup::luminosity,true);
564	+	CompleteSave(e,"Edge/"+prefix.str()+"_OF");
565	+	delete e;
566	+
567	+
568	+
569	+
570	+	/*  TCanvas* f = new TCanvas("rf501_simultaneouspdfem","rf403_simultaneouspdfem") ;
571	+	f->cd();
572	+	gPad->SetLeftMargin(0.15);
573	+	frame4->GetYaxis()->SetTitleOffset(1.4);
574	+	frame4->Draw();
575	+	if(is_data==data) DrawPrelim();
576	+	else DrawPrelim(PlottingSetup::luminosity,true);
577	+	CompleteSave(f,"Edge/"+prefix.str()+"_SF");
578	+	delete f;*/
579	+
580	+
581	+	/*
582	+	float maxZ=200;
583	+	RooWorkspace* wspace = new RooWorkspace();
584	+	stringstream mllvar;
585	+	mllvar << "mll[" << (mllmax-mllmin)/2 << "," << mllmin << "," << mllmax << "]";
586	+	wspace->factory(mllvar.str().c_str());
587	+	wspace->var("mll")->setBins(30);
588	+	wspace->factory("nSig[1.,0.,100.]");
589	+	wspace->factory(("nZ[0.04.,0.,"+any2string(maxZ)+"]").c_str());
590	+	wspace->factory("rME[1.12,1.05,1.19]");
591	+	wspace->factory("effUncert[1.]");
592	+	EdgeFitter::prepareLimits(wspace, true);
593	+	*/
594	+
595	+	write_warning(__FUNCTION__," A lot missing here to calculate limits");
596	+
597	+	}
598	+
599		void EdgeFitter::DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree *signalevents=0) {
600
601	<	string storagefile=EdgeFitter::RandomStorageFile();
602	<	TFile *f = new TFile(storagefile.c_str(),"RECREATE");
603	<	EdgeFitter::InitializeVariables(iMllLow,iMllHigh,jzbHigh,cut);
604	<
605	<	Yield Zestimate=EdgeFitter::Get_Z_estimate(jzb_cut,icut);
233	<	Yield Testimate=EdgeFitter::Get_T_estimate(jzb_cut,icut);
234	<	cout << "Cut at JZB>" << jzb_cut << "; using estimates: " << endl;
235	<	cout << "       Z : " << Zestimate  << endl;
236	<	cout << "       T : " << Testimate  << endl;
601	>	TCut _cut(cut&&PlottingSetup::basiccut&&PlottingSetup::passtrig);
602	>
603	>	TFile *f = new TFile("workingfile.root","RECREATE");
604	>
605	>	EdgeFitter::InitializeVariables(PlottingSetup::iMllLow,PlottingSetup::iMllHigh,PlottingSetup::jzbHigh,_cut);
606
607		EdgeFitter::PrepareDatasets(is_data);
608	+
609	+	RooFit::MsgLevel msglevel = RooMsgService::instance().globalKillBelow();
610	+	RooMsgService::instance().setGlobalKillBelow(RooFit::FATAL);
611	+	write_warning(__FUNCTION__,"Deactivated actual fitting procedure ATM");
612	+	EdgeFitter::DoFit(is_data, jzb_cut);
613	+	RooMsgService::instance().setGlobalKillBelow(msglevel);
614	+
615
240	–	EdgeFitter::eeSample->Write();
241	–	EdgeFitter::emSample->Write();
242	–	EdgeFitter::mmSample->Write();
243	–	EdgeFitter::AllData->Write();
616		f->Close();
617
246	–	write_warning(__FUNCTION__,"Work continues here");
247	–
248	–	if(EdgeFitter::MarcoDebug) write_warning(__FUNCTION__,"Need to uncomment the next line (remove the output file)");
249	–	//  gSystem->Exec(("rm "+storagefile).c_str());
618		}
619
620		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, vector<float> jzb_cut, int is_data, TCut cut, TTree *signalevents=0) {
621	<	for(int icut=0;icut<jzb_cut.size();icut++) {
621	>	for(int icut=0;icut<(int)jzb_cut.size();icut++) {
622		stringstream addcut;
623		if(is_data==1) addcut << "(" << datajzb << ">" << jzb_cut[icut] << ")";
624		if(is_data!=1) addcut << "(" << mcjzb << ">" << jzb_cut[icut] << ")";
625		TCut jcut(addcut.str().c_str());
626
627	+
628		EdgeFitter::DoEdgeFit(mcjzb, datajzb, DataPeakError, MCPeakError, jzb_cut[icut], icut, is_data, jcut&&cut, signalevents);
629
630		}

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