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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 1.27 by buchmann, Wed Jun 26 11:08:31 2013 UTC

#	Line 1 | Line 1
1		#include <iostream>
2
3	+
4	+
5	+	#include <TVirtualIndex.h>
6	+
7		#include <RooRealVar.h>
8		#include <RooArgSet.h>
9		#include <RooDataSet.h>
10	<	#include <RooRealVar.h>
11	<	#include <RooArgSet.h>
12	<	#include <RooDataSet.h>
10	>	#include <RooMCStudy.h>
11	>	#include <RooCategory.h>
12	>
13	>	#include <RooPlot.h>
14	>	#include <RooGaussian.h>
15	>	#include <RooConstVar.h>
16	>	#include <RooSimultaneous.h>
17	>	#include <RooAddPdf.h>
18	>	#include <RooFitResult.h>
19	>	#include <RooVoigtian.h>
20	>	#include <RooMsgService.h>
21	>
22		#include <RooStats/ModelConfig.h>
23		#include "RooStats/ProfileLikelihoodCalculator.h"
24		#include "RooStats/LikelihoodInterval.h"
#	Line 15 | Line 28
28		#include "RooStats/HybridCalculatorOriginal.h"
29		#include "RooStats/HypoTestInverterOriginal.h"
30
31	+	//#include "ParametrizedEdge.C"
32	+	#include "ExtendedMath.C"
33	+	#include "EdgeModules/RooSUSYTPdf.cxx"
34	+	#include "EdgeModules/RooSUSYBkgPdf.cxx"
35	+	#include "EdgeModules/RooSUSYCompleteBkgPdf.cxx"
36	+
37	+
38	+	#include "md5/md5.h"
39	+	#include "md5/md5.C"
40
41		using namespace std;
42		using namespace PlottingSetup;
#	Line 40 | Line 62 | namespace EdgeFitter {
62
63		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree*);
64		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, vector<float> jzb_cut, int is_data, TCut cut, TTree*);
65	+	void getMedianLimit(RooWorkspace *ws,vector<RooDataSet> theToys,float &median,float &sigmaDown, float &sigmaUp, float &twoSigmaDown, float &twoSigmaUp);
66		void InitializeVariables(float _mllmin, float _mllmax, float _jzbmax, TCut _cut);
67		void PrepareDatasets(int);
68	<	void DoFit();
68	>	void DrawDatasetContent(int);
69	>	void DoFit(int is_data, float jzb_cut);
70		string RandomStorageFile();
71		Yield Get_Z_estimate(float,int);
72		Yield Get_T_estimate(float,int);
73	<	float SetEdgeLimit(int , RooWorkspace *ws);
73	>	float calcExclusion(RooWorkspace *ws, RooDataSet data, bool calcExclusion);
74	>	vector<RooDataSet> generateToys(RooWorkspace *ws, int nToys);
75	>	void prepareLimits(RooWorkspace *ws, bool ComputeBands);
76	>	TGraph* prepareLM(float mass, float nEv);
77
78		float jzbmax;
79		float mllmin;
#	Line 56 | Line 83 | namespace EdgeFitter {
83		RooDataSet* AllData;
84		RooDataSet* eeSample;
85		RooDataSet* mmSample;
86	<	RooDataSet* emSample;
86	>	RooDataSet* OFSample;
87	>	RooDataSet* SFSample;
88	>
89	>	bool MarcoDebug=true;
90	>
91	>	float FixedMEdge=-1;
92	>	float FixedMEdgeChi2_H1=-1;
93	>	float FixedMEdgeChi2_H0=-1;
94	>
95	>	bool RejectPointIfNoConvergence=false;
96	>
97	>	string Mode="UndefinedMode";
98	>
99	>	bool AllowTriangle=true;
100	>	}
101	>
102	>	TGraph* EdgeFitter::prepareLM(float mass, float nEv) {
103	>	float massLM[1];
104	>	massLM[0]=mass;
105	>	float accEffLM[1];
106	>	accEffLM[0]=nEv/PlottingSetup::luminosity;
107	>	TGraph *lm = new TGraph(1, massLM, accEffLM);
108	>	lm->GetXaxis()->SetNoExponent(true);
109	>	lm->GetXaxis()->SetTitle("m_{cut} [GeV]");
110	>	lm->GetYaxis()->SetTitle("#sigma #times A [pb] 95% CL UL");
111	>	lm->GetXaxis()->SetLimits(0.,300.);
112	>	lm->GetYaxis()->SetRangeUser(0.,0.08);
113	>	lm->SetMarkerStyle(34);
114	>	lm->SetMarkerColor(kRed);
115	>	return lm;
116	>	}
117	>
118	>	vector<RooDataSet> EdgeFitter::generateToys(RooWorkspace *ws, int nToys) {
119	>	ws->ls();
120	>	ws->var("nSig")->setVal(0.);
121	>	ws->var("nSig")->setConstant(true);
122	>	RooFitResult* fit = ws->pdf("combModel")->fitTo(*ws->data("data_obs"),RooFit::Save());
123	>	vector<RooDataSet> theToys;
124	>
125	>	RooMCStudy mcEE(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"EE"));
126	>	mcEE.generate(nToys,44,true);
127	>	RooMCStudy mcMM(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"MM"));
128	>	mcMM.generate(nToys,44,true);
129	>	RooMCStudy mcOSOF(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"OSOF"));
130	>	mcOSOF.generate(nToys,44,true);
131
132	<	bool MarcoDebug;
132	>	RooRealVar mll("m_{ll}","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
133	>	RooRealVar id1("id1","id1",0,1,"GeV/c^{2}");
134	>	RooRealVar id2("id2","id2",0,1,"GeV/c^{2}");
135	>	RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
136	>	RooRealVar weight("weight","weight",0,1000,"");
137	>	RooArgSet observables(mll,jzb,id1,id2,weight);
138	>
139	>	for(int i=0;i<nToys;i++) {
140	>	RooDataSet* toyEE    = (RooDataSet*)mcEE.genData(i);
141	>	RooDataSet* toyMM    = (RooDataSet*)mcMM.genData(i);
142	>	RooDataSet* toyOSOF  = (RooDataSet*)mcOSOF.genData(i);
143	>	stringstream toyname;
144	>	toyname << "theToy_" << i;
145	>	write_warning(__FUNCTION__,"Problem while adding toys");
146	>	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));
147	>	theToys.push_back(toyData);
148	>	}
149	>	ws->var("nSig")->setVal(17.0);
150	>	ws->var("nSig")->setConstant(false);
151	>	return theToys;
152		}
153
154	<	float EdgeFitter::SetEdgeLimit(int is_data, RooWorkspace *ws) {
154	>	void EdgeFitter::getMedianLimit(RooWorkspace *ws,vector<RooDataSet> theToys,float &median,float &sigmaDown, float &sigmaUp, float &twoSigmaDown, float &twoSigmaUp) {
155	>	TH1F *gauLimit = new TH1F("gausLimit","gausLimit",60,0.,80./PlottingSetup::luminosity);
156	>	vector<float> theLimits;
157	>	for(int itoy=0;itoy<(int)theToys.size();itoy++) {
158	>	float theLimit = calcExclusion(ws,theToys[itoy],false);
159	>	if(theLimit > 0 ) gauLimit->Fill(theLimit);
160	>	}
161	>	const Int_t nQ = 4;
162	>	Double_t yQ[nQ] = {0.,0.,0.,0.};
163	>	Double_t xQ[nQ] = {0.022750132,0.1586552539,0.84134474609999998,0.977249868};
164	>	gauLimit->GetQuantiles(nQ,yQ,xQ);
165	>	median = gauLimit->GetMean();
166	>	//  median = median1(gauLimit);
167	>	twoSigmaDown = abs(yQ[0]-median);
168	>	sigmaDown = abs(yQ[1]-median);
169	>	sigmaUp = abs(yQ[2]-median);
170	>	twoSigmaUp = abs(yQ[3]-median);
171	>	dout << median * PlottingSetup::luminosity << " " << sigmaUp * PlottingSetup::luminosity << endl;
172	>	}
173	>
174	>	void EdgeFitter::prepareLimits(RooWorkspace *ws, bool ComputeBands) {
175	>	if(ComputeBands) {
176	>	vector<RooDataSet> theToys = EdgeFitter::generateToys(ws,50);
177	>	vector<float> medVals;
178	>	vector<float> medLimits;
179	>	vector<float> sigmaLimitsDown;
180	>	vector<float> sigmaLimitsUp;
181	>	vector<float> twoSigmaLimitsDown;
182	>	vector<float> twoSigmaLimitsUp;
183	>	for(int i=20;i<=320;i+=40) {
184	>	ws->var("nSig")->setVal(10.0);
185	>	medVals.push_back((float)i);
186	>	ws->var("m0")->setVal((float)i);
187	>	ws->var("m0")->setConstant(true);
188	>	float Smedian,SsigmaDown,SsigmaUp,StwoSigmaDown,StwoSigmaUp;
189	>	EdgeFitter::getMedianLimit(ws,theToys,Smedian,SsigmaDown,SsigmaUp,StwoSigmaDown,StwoSigmaUp);
190	>	medLimits.push_back(Smedian);
191	>	sigmaLimitsDown.push_back(SsigmaDown);
192	>	sigmaLimitsUp.push_back(SsigmaUp);
193	>	twoSigmaLimitsDown.push_back(StwoSigmaDown);
194	>	twoSigmaLimitsUp.push_back(StwoSigmaUp);
195	>	}
196	>	write_warning(__FUNCTION__,"Still need to store limits");
197	>	} else {
198	>	vector<float> theVals;
199	>	vector<float> theLimits;
200	>	for(int i=20;i<300;i+=5) {
201	>	ws->var("nSig")->setVal(0.0);
202	>	theVals.push_back((float)i);
203	>	ws->var("m0")->setVal((float)i);
204	>	ws->var("m0")->setConstant(true);
205	>	//      theLimits.push_back(calcExclusion(ws,(RooDataSet)*ws->data("data_obs"),true));
206	>	write_error(__FUNCTION__,"Error while casting roo data set");
207	>	}
208	>
209	>	for(int i=0;i<(int)theLimits.size();i++) {
210	>	if((theLimits[i]<2.0/PlottingSetup::luminosity)||(theLimits[i]>40.0/PlottingSetup::luminosity)) {
211	>	dout << i << " : " << theVals[i] << endl;
212	>	theLimits[i] = (theLimits[i+2]+theLimits[i-2])/2.0;
213	>	write_warning(__FUNCTION__,"Need to store limits");
214	>	}
215	>	write_warning(__FUNCTION__,"Need to store limits");
216	>	}
217	>	}
218	>	}
219	>
220	>
221	>	float EdgeFitter::calcExclusion(RooWorkspace *ws, RooDataSet data, bool LoadDataObs) {
222	>	int numberOfToys=50;
223		RooRealVar mu("mu","nSig",0,10000,"");
224		RooArgSet poi = RooArgSet(mu);
225		RooArgSet *nullParams = (RooArgSet*)poi.snapshot();
#	Line 70 | Line 228 | float EdgeFitter::SetEdgeLimit(int is_da
228		model->SetWorkspace(*ws);
229		model->SetPdf("combModel");
230		model->SetParametersOfInterest(poi);
231	<	RooAbsData* data = ws->data("data_obs");
231	>	//  if(LoadDataObs) data = (RooDataSet)*ws->data("data_obs");
232
233	<	RooStats::ProfileLikelihoodCalculator plc(*data, *model);
233	>	RooStats::ProfileLikelihoodCalculator plc(data, *model);
234		plc.SetNullParameters(*nullParams);
235		plc.SetTestSize(0.05);
236	+
237		RooStats::LikelihoodInterval* interval = plc.GetInterval();
238		RooStats::HypoTestResult *htr = plc.GetHypoTest();
239		double theLimit = interval->UpperLimit( mu );
240	<	cout << "Significance " << htr->Significance() << endl;
240	>	//  double significance = htr->Significance();
241
242		ws->defineSet("obs","nB");
243		ws->defineSet("poi","nSig");
#	Line 102 | Line 261 | RooAbsData* data = ws->data("data_obs");
261		slrts.SetAltParameters(*sb_model.GetSnapshot());
262		RooStats::ProfileLikelihoodTestStat profll = RooStats::ProfileLikelihoodTestStat(*b_model.GetPdf());
263
264	<	RooStats::HybridCalculatorOriginal hc = RooStats::HybridCalculatorOriginal(*data, sb_model, b_model,0,0);
264	>	RooStats::HybridCalculatorOriginal hc = RooStats::HybridCalculatorOriginal(data, sb_model, b_model,0,0);
265		hc.SetTestStatistic(2);
266	<	hc.SetNumberOfToys(50);
108	<
266	>	hc.SetNumberOfToys(numberOfToys);
267
268		RooStats::HypoTestInverterOriginal hcInv =  RooStats::HypoTestInverterOriginal(hc,*ws->var("nSig"));
269		hcInv.SetTestSize(0.05);
#	Line 114 | Line 272 | RooAbsData* data = ws->data("data_obs");
272		RooStats::HypoTestInverterResult* hcInt = hcInv.GetInterval();
273		float ulError = hcInt->UpperLimitEstimatedError();
274		theLimit = hcInt->UpperLimit();
275	<	cout << "Found upper limit : " << theLimit << "+/-" << ulError << endl;
275	>	dout << "Found upper limit : " << theLimit << "+/-" << ulError << endl;
276
277		return theLimit/PlottingSetup::luminosity;
278
279		}
280
281	+	string GetSkimName(int isample) {
282	+	return removefunnystring(allsamples.collection[isample].filename);
283	+	}
284	+
285		TTree* SkimTree(int isample) {
286	<	TTree* newTree = allsamples.collection[isample].events->CloneTree(0);
286	>	string TreeName = GetSkimName(isample);
287	>	cout << "About to skim " << TreeName << " for sample id " << isample << endl;
288	>	TTree* newTree = new TTree(TreeName.c_str(),TreeName.c_str());
289	>
290	>	float mll,edgeWeight;
291	>	int id1,id2;
292	>
293	>	newTree->Branch("edgeWeight",&edgeWeight,"edgeWeight/F");
294	>	newTree->Branch("mll",&mll,"mll/F");
295	>	newTree->Branch("id1",&id1,"id1/I");
296	>	newTree->Branch("id2",&id2,"id2/I");
297	>	newTree->Branch("isample",&isample,"isample/I");
298	>
299		float xsweight=1.0;
300		if(allsamples.collection[isample].is_data==false) xsweight=luminosity*allsamples.collection[isample].weight;
301		if(EdgeFitter::MarcoDebug) {
302	<	cout << "   Original tree contains " << allsamples.collection[isample].events->GetEntries() << endl;
303	<	cout << "   Going to reduce it with cut " << EdgeFitter::cut << endl;
302	>	dout << "   Going to reduce it with cut " << EdgeFitter::cut << endl;
303	>	dout << "   Original tree contains " << allsamples.collection[isample].events->GetEntries() << endl;
304		}
305	+
306	+	float tmll;
307	+	int tid1,tid2;
308	+	allsamples.collection[isample].events->SetBranchAddress("mll",&tmll);
309	+	allsamples.collection[isample].events->SetBranchAddress("id1",&tid1);
310	+	allsamples.collection[isample].events->SetBranchAddress("id2",&tid2);
311	+
312		TTreeFormula *select = new TTreeFormula("select", EdgeFitter::cut, allsamples.collection[isample].events);
313	+	TTreeFormula *Weight = new TTreeFormula("Weight", cutWeight, allsamples.collection[isample].events);
314	+
315		float wgt=1.0;
133	–	allsamples.collection[isample].events->SetBranchAddress(cutWeight,&wgt);
316		for (Int_t entry = 0 ; entry < allsamples.collection[isample].events->GetEntries() ; entry++) {
317		allsamples.collection[isample].events->LoadTree(entry);
318		if (select->EvalInstance()) {
319		allsamples.collection[isample].events->GetEntry(entry);
320	<	wgt=wgt*xsweight;
320	>	mll=tmll;
321	>	id1=tid1;
322	>	id2=tid2;
323	>	wgt=Weight->EvalInstance();
324	>	edgeWeight=wgt*xsweight;
325		newTree->Fill();
326		}
327		}
328
329	<	if(EdgeFitter::MarcoDebug) cout << "     Reduced tree contains " << newTree->GetEntries() << " entries " << endl;
329	>	if(EdgeFitter::MarcoDebug) dout << "   Reduced tree contains " << newTree->GetEntries() << " entries " << endl;
330		return newTree;
331		}
332
#	Line 150 | Line 336 | void EdgeFitter::InitializeVariables(flo
336		jzbmax=_jzbmax;
337		cut=_cut;
338		}
339	<
339	>
340	>	TTree* MergeTrees(vector<TTree*> trees) {
341	>	assert(trees.size()>0);
342	>	TTree * newtree = (TTree*)trees[0]->CloneTree(0);
343	>	newtree->SetTitle("FullTree");
344	>	newtree->SetName("FullTree");
345	>	trees[0]->GetListOfClones()->Remove(newtree);
346	>	trees[0]->ResetBranchAddresses();
347	>	newtree->ResetBranchAddresses();
348	>
349	>	for(int itree=0;itree<trees.size();itree++) {
350	>	newtree->CopyAddresses(trees[itree]);
351	>	Long64_t nentries = trees[itree]->GetEntries();
352	>	for (Long64_t iEntry=0;iEntry<nentries;iEntry++) {
353	>	trees[itree]->GetEntry(iEntry);
354	>	newtree->Fill();
355	>	}
356	>	trees[itree]->ResetBranchAddresses(); // Disconnect from new tree
357	>	if (newtree->GetTreeIndex()) {
358	>	newtree->GetTreeIndex()->Append(trees[itree]->GetTreeIndex(),kTRUE);
359	>	}
360	>	if (newtree && newtree->GetTreeIndex()) {
361	>	newtree->GetTreeIndex()->Append(0,kFALSE); // Force the sorting
362	>	}
363	>	}
364	>	return newtree;
365	>	}
366	>
367	>
368	>
369		void EdgeFitter::PrepareDatasets(int is_data) {
370	<	TTree *completetree;
371	<	bool hashit=0;
372	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
370	>	write_warning(__FUNCTION__,"Need to make this function ready for scans as well (use signal from scan samples)");
371	>
372	>	ensure_directory_exists(PlottingSetup::cbafbasedir+"/EdgeCache/");
373	>
374	>	stringstream FileName;
375	>	FileName << PlottingSetup::cbafbasedir << "/EdgeCache/" << md5((const char*)cut) << ".root";
376	>
377	>
378	>	TFile *fEdgeCache;
379	>	if(PlottingSetup::do_CleanCache) fEdgeCache = new TFile(FileName.str().c_str(),"RECREATE");
380	>	else fEdgeCache = new TFile(FileName.str().c_str(),"UPDATE");
381	>
382	>	if(fEdgeCache->GetNkeys()==0) {
383	>	ofstream CacheOverview;
384	>	CacheOverview.open((PlottingSetup::cbafbasedir+"/EdgeCache/CacheOverview").c_str(),ios::app);
385	>	CacheOverview << md5((const char*)cut) << ";" << (const char*) cut << endl;
386	>	CacheOverview.close();
387	>	}
388	>
389	>	vector<TTree*> SkimmedTrees;
390	>	TTree *SkimmedTree[(int)allsamples.collection.size()];
391	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
392		if(!allsamples.collection[isample].is_active) continue;
393		if(is_data==1&&allsamples.collection[isample].is_data==false) continue;//kick all samples that aren't data if we're looking for data.
394		if(is_data==1&&allsamples.collection[isample].is_data==false) continue;//kick all samples that aren't data if we're looking for data.
395		if(is_data!=1&&allsamples.collection[isample].is_data==true) continue;//kick all data samples when looking for MC
396		if(is_data!=2&&allsamples.collection[isample].is_signal==true) continue;//remove signal sample if we don't want it.
397	<	if(EdgeFitter::MarcoDebug) cout << "Considering : " << allsamples.collection[isample].samplename << endl;
398	<	if(!hashit) {
399	<	hashit=true;
400	<	completetree = SkimTree(isample)->CloneTree();
397	>	if(EdgeFitter::MarcoDebug) dout << "Considering : " << allsamples.collection[isample].samplename << endl;
398	>
399	>	string SkimName = GetSkimName(isample);
400	>	SkimmedTree[isample] = (TTree*)fEdgeCache->Get(SkimName.c_str());
401	>	if(!SkimmedTree[isample]) {
402	>	dout << "Need to generate tree for " << allsamples.collection[isample].filename << endl;
403	>	SkimmedTree[isample] = SkimTree(isample);
404	>	fEdgeCache->cd();
405	>	SkimmedTree[isample]->Write();
406		} else {
407	<	completetree->CopyEntries(SkimTree(isample));
407	>	dout << "Loaded tree for " << allsamples.collection[isample].filename << " from cache file " << endl;
408		}
409	<	if(EdgeFitter::MarcoDebug) cout << "Complete tree now contains " << completetree->GetEntries() << " entries " << endl;
409	>
410	>	SkimmedTrees.push_back(SkimmedTree[isample]);
411		}
412
413	<	RooRealVar mll("mll","mll",mllmin,mllmax,"GeV/c^{2}");
413	>	TTree *completetree  = MergeTrees(SkimmedTrees);
414	>
415	>	if(EdgeFitter::MarcoDebug) dout << "Complete tree now contains " << completetree->GetEntries() << " entries " << endl;
416	>
417	>	RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
418		RooRealVar id1("id1","id1",0,1,"GeV/c^{2}");
419		RooRealVar id2("id2","id2",0,1,"GeV/c^{2}");
420	<	RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
421	<	RooRealVar weight("weight","weight",0,1000,"");
178	<	RooArgSet observables(mll,jzb,id1,id2,weight);
420	>	RooRealVar edgeWeight("edgeWeight","edgeWeight",0,1000,"");
421	>	RooArgSet observables(mll,id1,id2,edgeWeight);
422
423		string title="CMS Data";
424		if(is_data!=1) title="CMS SIMULATION";
425	<	RooDataSet LAllData("LAllData",title.c_str(),completetree,observables,"","weight");
426	<	completetree->Write();
427	<	//  delete completetree;
428	<
425	>	RooDataSet LAllData("LAllData",title.c_str(),completetree,observables,"","edgeWeight");
426	>	fEdgeCache->Close();
427	>	dout << "Edge cache closed." << endl;
428	>
429		EdgeFitter::eeSample = (RooDataSet*)LAllData.reduce("id1==id2&&id1==0");
430		EdgeFitter::mmSample = (RooDataSet*)LAllData.reduce("id1==id2&&id1==1");
431	<	EdgeFitter::emSample = (RooDataSet*)LAllData.reduce("id1!=id2");
431	>	EdgeFitter::OFSample = (RooDataSet*)LAllData.reduce("id1!=id2");
432	>	EdgeFitter::SFSample = (RooDataSet*)LAllData.reduce("id1==id2");
433		EdgeFitter::AllData  = (RooDataSet*)LAllData.reduce("id1!=id2||id1==id2");
434
435	+
436		eeSample->SetName("eeSample");
437		mmSample->SetName("mmSample");
438	<	emSample->SetName("emSample");
438	>	OFSample->SetName("OFSample");
439	>	SFSample->SetName("SFSample");
440		AllData->SetName("AllData");
441
442	+	eeSample->SetTitle("eeSample");
443	+	mmSample->SetTitle("mmSample");
444	+	OFSample->SetTitle("OFSample");
445	+	SFSample->SetTitle("SFSample");
446	+	AllData->SetTitle("AllData");
447	+
448		if(EdgeFitter::MarcoDebug) {
449	<	cout << "Number of events in data sample = " << AllData->numEntries() << endl;
450	<	cout << "Number of events in ee sample = " << eeSample->numEntries() << endl;
451	<	cout << "Number of events in mm sample = " << mmSample->numEntries() << endl;
452	<	cout << "Number of events in em sample = " << emSample->numEntries() << endl;
449	>	dout << "Number of (weighted) events in full sample = " << AllData->sumEntries() << " (raw events : " << AllData->numEntries() << ")" <<  endl;
450	>	dout << "Number of (weighted) events in ee sample = " << eeSample->sumEntries() << " (raw events : " << eeSample->numEntries() << ")" <<  endl;
451	>	dout << "Number of (weighted) events in mm sample = " << mmSample->sumEntries() << " (raw events : " << mmSample->numEntries() << ")" <<  endl;
452	>	dout << "Number of (weighted) events in SF sample = " << SFSample->sumEntries() << " (raw events : " << SFSample->numEntries() << ")" <<  endl;
453	>	dout << "Number of (weighted) events in em sample = " << OFSample->sumEntries() << " (raw events : " << OFSample->numEntries() << ")" <<  endl;
454		}
455	+
456		}
457
458	+	void EdgeFitter::DrawDatasetContent(int is_data) {
459	+	TCanvas* ceedata = new TCanvas("ceedata","ceedata") ;
460	+
461	+	RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
462	+	RooPlot* frame1 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("ee sample")) ;
463	+	frame1->GetXaxis()->CenterTitle(1);
464	+	frame1->GetYaxis()->CenterTitle(1);
465	+	eeSample->plotOn(frame1,RooFit::Name("eedata"));
466	+
467	+	RooPlot* frame2 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("mm sample")) ;
468	+	frame2->GetXaxis()->CenterTitle(1);
469	+	frame2->GetYaxis()->CenterTitle(1);
470	+	mmSample->plotOn(frame2,RooFit::Name("mmdata"));
471	+
472	+	RooPlot* frame3 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("OF sample")) ;
473	+	frame3->GetXaxis()->CenterTitle(1);
474	+	frame3->GetYaxis()->CenterTitle(1);
475	+	OFSample->plotOn(frame3,RooFit::Name("OFdata"));
476	+
477	+	TH1F *ee_ref = allsamples.Draw("ee_ref","mll",int((mllmax-mllmin)/5.0),mllmin,mllmax, "m_{ll} [GeV]", "events", cut&&TCut("id1==id2&&id1==0"),is_data, luminosity);
478	+	TH1F *mm_ref = allsamples.Draw("mm_ref","mll",int((mllmax-mllmin)/5.0),mllmin,mllmax, "m_{ll} [GeV]", "events", cut&&TCut("id1==id2&&id1==1"),is_data, luminosity);
479	+	TH1F *of_ref = allsamples.Draw("of_ref","mll",int((mllmax-mllmin)/5.0),mllmin,mllmax, "m_{ll} [GeV]", "events", cut&&TCut("id1!=id2"),is_data, luminosity);
480	+
481	+	ee_ref->SetFillColor(TColor::GetColor("#3ADF00"));
482	+	mm_ref->SetFillColor(TColor::GetColor("#3ADF00"));
483	+	of_ref->SetFillColor(TColor::GetColor("#3ADF00"));
484	+
485	+	TH1F *ee_fit = (TH1F*)eeSample->createHistogram("ee_fit",mll,RooFit::Binning(int((mllmax-mllmin)/5)),RooFit::SumW2Error(true));
486	+	TH1F *mm_fit = (TH1F*)mmSample->createHistogram("mm_fit",mll,RooFit::Binning(int((mllmax-mllmin)/5)),RooFit::SumW2Error(true));
487	+	TH1F *of_fit = (TH1F*)OFSample->createHistogram("of_fit",mll,RooFit::Binning(int((mllmax-mllmin)/5)),RooFit::SumW2Error(true));
488	+
489	+	TLegend *leg = make_legend();
490	+	leg->AddEntry(ee_fit,"RooDataSet content","p");
491	+	leg->AddEntry(ee_ref,"CBAF cross-check","f");
492	+	leg->SetX1(0.5);
493	+	leg->SetY1(0.75);
494	+
495	+	ceedata->cd() ;
496	+	gPad->SetLeftMargin(0.15);
497	+	frame1->SetMaximum(1.2*frame1->GetMaximum());
498	+	frame1->GetYaxis()->SetTitleOffset(1.4);
499	+	frame1->Draw();
500	+	ee_ref->Draw("histo,same");
501	+	ee_fit->Draw("e1,same");
502	+	leg->Draw("same");
503	+	if(is_data==data) DrawPrelim();
504	+	else DrawPrelim(PlottingSetup::luminosity,true);
505	+	CompleteSave(ceedata,"Edge/PreFit_ee");
506	+
507	+	ceedata->cd() ;
508	+	gPad->SetLeftMargin(0.15);
509	+	frame2->SetMaximum(1.2*frame2->GetMaximum());
510	+	frame2->GetYaxis()->SetTitleOffset(1.4);
511	+	frame2->Draw();
512	+	mm_ref->Draw("histo,same");
513	+	mm_fit->Draw("e1,same");
514	+	leg->Draw("same");
515	+	if(is_data==data) DrawPrelim();
516	+	else DrawPrelim(PlottingSetup::luminosity,true);
517	+	CompleteSave(ceedata,"Edge/PreFit_mm");
518	+
519	+	TCanvas* cOFdata = new TCanvas("cOFdata","cOFdata") ;
520	+	cOFdata->cd() ;
521	+	gPad->SetLeftMargin(0.15);
522	+	frame3->SetMaximum(1.2*frame3->GetMaximum());
523	+	frame3->GetYaxis()->SetTitleOffset(1.4);
524	+	frame3->Draw();
525	+	of_ref->Draw("histo,same");
526	+	of_fit->Draw("e1,same");
527	+	leg->Draw("same");
528	+	if(is_data==data) DrawPrelim();
529	+	else DrawPrelim(PlottingSetup::luminosity,true);
530	+	CompleteSave(cOFdata,"Edge/PreFit_OF");
531	+
532	+	delete ee_fit;
533	+	delete mm_fit;
534	+	delete of_fit;
535	+
536	+	delete ee_ref;
537	+	delete mm_ref;
538	+	delete of_ref;
539	+	}
540	+
541	+	string WriteWithError(float central, float error, int digits) {
542	+	float ref=central;
543	+	if(ref<0) ref=-central;
544	+	int HighestSigDigit = 0;
545	+	if(ref>1) HighestSigDigit = int(log(ref)/log(10))+1;
546	+	else HighestSigDigit = int(log(ref)/(log(10)));
547	+
548	+	float divider=pow(10.0,(double(HighestSigDigit-digits)));
549	+
550	+	stringstream result;
551	+	result << divider*int(central/divider+0.5) << " #pm " << divider*int(error/divider+0.5);
552	+	return result.str();
553	+	}
554	+
555	+
556		string EdgeFitter::RandomStorageFile() {
557		TRandom3 *r = new TRandom3(0);
558		int rho = (int)r->Uniform(1,10000000);
#	Line 213 | Line 565 | string EdgeFitter::RandomStorageFile() {
565		Yield EdgeFitter::Get_Z_estimate(float jzb_cut, int icut) {
566		if(MarcoDebug) write_error(__FUNCTION__,"Returning random Z yield");
567		Yield a(123,45,67); return a;
216	–
568		return PlottingSetup::allresults.predictions[icut].Zbkg;
569		}
570
#	Line 223 | Line 574 | Yield EdgeFitter::Get_T_estimate(float j
574		return PlottingSetup::allresults.predictions[icut].Flavorsym;
575		}
576
577	+	void EdgeFitter::DoFit(int is_data, float jzb_cut) {
578	+
579	+	stringstream prefix;
580	+	if(is_data==data) prefix << "data_";
581	+	if(is_data==mc) prefix << "mc_";
582	+	if(is_data==mcwithsignal) prefix << "mcwithS_";
583	+
584	+	prefix << EdgeFitter::Mode << "_" << jzb_cut;
585	+
586	+	if(!EdgeFitter::AllowTriangle && EdgeFitter::FixedMEdge>=0) prefix << "__MEdgeFix_"+any2string(EdgeFitter::FixedMEdge);
587	+
588	+	if(EdgeFitter::AllowTriangle) prefix << "__H1";
589	+	else prefix << "__H0";
590	+
591	+	RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
592	+	RooRealVar edgeWeight("edgeWeight","edgeWeight",0,1000,"");
593	+	RooCategory sample("sample","sample") ;
594	+	sample.defineType("ee");
595	+	sample.defineType("mm");
596	+	sample.defineType("OF");
597	+	sample.defineType("SF");
598	+
599	+	RooDataSet combData("combData","combined data",RooArgSet(mll,edgeWeight),RooFit::Index(sample),RooFit::Import("ee",*eeSample),RooFit::Import("mm",*mmSample),RooFit::Import("OF",*OFSample),RooFit::Import("SF",*SFSample),RooFit::WeightVar(edgeWeight));
600	+
601	+	//------------------------------------------------------------------------------------------------------------------------------------
602	+	//    _____ _               __
603	+	//   / ____| |             /_ |
604	+	//  | (___ | |_ ___ _ __    | |
605	+	//   \___ \| __/ _ \ '_ \   | |
606	+	//   ____) | ||  __/ |_) |  | |
607	+	//  |_____/ \__\___| .__/   |_|
608	+	//                 | |
609	+	//                 |_|
610	+	//
611	+	// Fit OF to get good initial values for flavor-symmetric background
612	+
613	+
614	+
615	+	//First we make a fit to opposite flavor
616	+	RooRealVar fttbarOF("fttbarOF", "fttbarOF", OFSample->sumEntries(), 0, combData.sumEntries());
617	+	RooRealVar par1ttbarOF("par1ttbarOF", "par1ttbarOF", 1.77, 0.01, 4.0);
618	+	RooRealVar par2ttbarOF("par2ttbarOF", "par2ttbarOF", 1.0);
619	+	RooRealVar par3ttbarOF("par3ttbarOF", "par3ttbarOF", 0.0272, 0.001, 1.0);
620	+	RooRealVar par4ttbarOF("par4ttbarOF", "par4ttbarOF", 2.0);
621	+	RooSUSYBkgPdf ttbarOF("ttbarOF","ttbarOF", mll , par1ttbarOF, par2ttbarOF, par3ttbarOF, par4ttbarOF);
622	+	RooAddPdf model_OF("model_OF","model_OF", ttbarOF, fttbarOF);
623	+	RooSimultaneous simPdfOF("simPdfOF","simultaneous pdf", sample) ;
624	+	simPdfOF.addPdf(model_OF,"OF");
625	+	RooFitResult *resultOF = simPdfOF.fitTo(combData, RooFit::Save(),RooFit::Extended(),RooFit::Minos(true));
626	+	dout << "============================= < OF results > =============================" << endl;
627	+	resultOF->Print();
628	+	dout << "============================= < /OF results > =============================" << endl;
629	+
630	+
631	+	RooPlot* frameO = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("OF sample"));
632	+	frameO->GetXaxis()->CenterTitle(1);
633	+	frameO->GetYaxis()->CenterTitle(1);
634	+	combData.plotOn(frameO,RooFit::Name("OFdata"),RooFit::Cut("sample==sample::OF")) ;
635	+	simPdfOF.plotOn(frameO,RooFit::Slice(sample,"OF"),RooFit::Name("FullFit"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
636	+	simPdfOF.plotOn(frameO,RooFit::Slice(sample,"OF"),RooFit::Name("TTbarOFonly"),RooFit::Components("ttbarOF"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
637	+
638	+	TCanvas* pof = new TCanvas("pof","pof") ;
639	+	pof->cd() ;
640	+	gPad->SetLeftMargin(0.15);
641	+	frameO->GetYaxis()->SetTitleOffset(1.4);
642	+	frameO->Draw();
643	+	if(is_data==data) DrawPrelim();
644	+	else DrawPrelim(PlottingSetup::luminosity,true);
645	+	CompleteSave(pof,"Edge/OF__OFFitonly_"+prefix.str(),false,false);
646	+	delete pof;
647	+
648	+	TCanvas* pof2 = new TCanvas("pof2","pof2") ;
649	+	pof2->cd();
650	+	gPad->SetLeftMargin(0.15);
651	+	frameO->GetYaxis()->SetTitleOffset(1.4);
652	+	frameO->Draw();
653	+	if(is_data==data) DrawPrelim();
654	+	else DrawPrelim(PlottingSetup::luminosity,true);
655	+	stringstream OFFitParameterSummary;
656	+	OFFitParameterSummary << "#splitline{ftbbarOF = " <<  WriteWithError(fttbarOF.getVal(),fttbarOF.getError(),3)  << "}{";
657	+	OFFitParameterSummary << "#splitline{par1ttbarOF = " <<  WriteWithError(par1ttbarOF.getVal(),par1ttbarOF.getError(),3)  << "}{";
658	+	OFFitParameterSummary << "#splitline{par2ttbarOF = " <<  WriteWithError(par2ttbarOF.getVal(),par2ttbarOF.getError(),3)  << "}{";
659	+	OFFitParameterSummary << "#splitline{par3ttbarOF = " <<  WriteWithError(par3ttbarOF.getVal(),par3ttbarOF.getError(),3)  << "}{";
660	+	OFFitParameterSummary << "par4ttbarOF = " <<  WriteWithError(par4ttbarOF.getVal(),par4ttbarOF.getError(),3);
661	+	OFFitParameterSummary << "}}}}";
662	+	TLatex *OFFitinfobox = new TLatex(0.57,0.75,OFFitParameterSummary.str().c_str());
663	+	OFFitinfobox->SetNDC();
664	+	OFFitinfobox->SetTextSize(0.03);
665	+	OFFitinfobox->Draw();
666	+
667	+
668	+	CompleteSave(pof2,"Edge/OF__OFFitonly_"+prefix.str()+"__INFO",false,false);
669	+
670	+	delete pof2;
671	+
672	+	if(resultOF->covQual()!=3) {
673	+	write_error(__FUNCTION__,"OF fit did not converge!!! Cannot continue!");
674	+	dout << "covQual is " << resultOF->covQual() << endl;
675	+	if(EdgeFitter::AllowTriangle) EdgeFitter::FixedMEdgeChi2_H1=-1;
676	+	else EdgeFitter::FixedMEdgeChi2_H0=-1;
677	+	if(EdgeFitter::RejectPointIfNoConvergence) return;
678	+	} else {
679	+	write_info(__FUNCTION__,"OF fit converged");
680	+	}
681	+
682	+
683	+	//    _____ _               ___
684	+	//   / ____| |             |__ \
685	+	//  | (___ | |_ ___ _ __      ) |
686	+	//   \___ \| __/ _ \ '_ \    / /
687	+	//   ____) | ||  __/ |_) |  / /_
688	+	//  |_____/ \__\___| .__/  |____|
689	+	//                 | |
690	+	//                 |_|
691	+	//
692	+	// Set up all the models
693	+
694	+
695	+	// Step 2a: set up edge position (if fixed), and maximum Z yield
696	+	float StartingMedge=70;
697	+	if(EdgeFitter::FixedMEdge>0) StartingMedge=EdgeFitter::FixedMEdge;
698	+
699	+	RooDataSet *ZDataSet = (RooDataSet*)EdgeFitter::AllData->reduce("id1==id2 && abs(mll-91.2)<20");
700	+
701	+	float maxZ = ZDataSet->sumEntries();
702	+	dout << "maxZ was set to " << maxZ << endl;
703	+	delete ZDataSet;
704	+
705	+	RooRealVar JustOne("JustOne","Just One",1) ;
706	+
707	+
708	+	// Step 2b: set up the models!
709	+	write_info(__FUNCTION__,"ee & mm fractions fixed");
710	+	/*  RooRealVar eefrac("eefrac","eefrac",eeSample->sumEntries()/(eeSample->sumEntries()+mmSample->sumEntries()),0.1,1.0);
711	+	RooFormulaVar mmfrac("mmfrac","1-eefrac",RooArgSet(eefrac));*/
712	+	RooRealVar eefrac("eefrac","eefrac",eeSample->sumEntries()/(eeSample->sumEntries()+mmSample->sumEntries()));
713	+	RooFormulaVar mmfrac("mmfrac","1-eefrac",RooArgSet(eefrac));
714	+
715	+	RooRealVar rOneOverEMFrac("rOneOverEMFrac","rOneOverEMFrac",1.02,1.02-0.07,1.02+0.07);
716	+	RooRealVar rmean("rmean","rmean",1.02);
717	+	RooRealVar rwidth("rwidth","rwidth",0.07);
718	+	RooGaussian OneOverEMFrac("OneOverEMFrac","OneOverEMFrac",rOneOverEMFrac,rmean,rwidth);
719	+
720	+
721	+	// FIRST: Drell-Yan: different parameters for resolution of DY (and of course yield), but same mean and so on
722	+	RooRealVar widthz("widthz", "widthz", 2.94);
723	+	widthz.setConstant(1);
724	+	RooRealVar meanz("meanz", "meanz", 91.1876, 89, 93);
725	+	RooRealVar fzSF("fzSF","fzSF",39,0,maxZ);
726	+	RooFormulaVar fzee("fzee","eefrac*fzSF",RooArgSet(eefrac,fzSF));
727	+	RooFormulaVar fzmm("fzmm","mmfrac*fzSF",RooArgSet(mmfrac,fzSF));
728	+	RooRealVar sigmazee("sigmazee", "sigmazee", 5, 0.5, 5);
729	+	RooRealVar sigmazmm("sigmazmm", "sigmazmm", 5, 0.5, 5);
730	+
731	+	RooVoigtian zee("zee", "zee", mll, meanz, widthz, sigmazee);
732	+	RooVoigtian zmm("zmm", "zmm", mll, meanz, widthz, sigmazmm);
733	+	RooAddPdf zSF("zSF","zSF",RooArgList(zee,zmm),RooArgList(fzee,fzmm));
734	+
735	+
736	+	//SECOND: Flavor-Symmetry contribution. Only relative fraction is different, all other parameters are the same;
737	+	RooFormulaVar fttbaree("fttbaree","eefrac*fttbarOF*OneOverEMFrac",RooArgSet(eefrac,fttbarOF,OneOverEMFrac));
738	+	RooFormulaVar fttbarmm("fttbarmm","mmfrac*fttbarOF*OneOverEMFrac",RooArgSet(mmfrac,fttbarOF,OneOverEMFrac));
739	+
740	+	RooSUSYBkgPdf ttbaree("ttbaree","ttbaree", mll , par1ttbarOF, par2ttbarOF, par3ttbarOF, par4ttbarOF);
741	+	RooSUSYBkgPdf ttbarmm("ttbarmm","ttbarmm", mll , par1ttbarOF, par2ttbarOF, par3ttbarOF, par4ttbarOF);
742	+	RooAddPdf ttbarSF("ttbarSF","ttbarSF", RooArgList(ttbaree,ttbarmm), RooArgList(fttbaree,fttbarmm));
743	+	RooAddPdf ttbarSFOne("ttbarSF","ttbarSF", RooArgList(ttbaree,ttbarmm), RooArgList(JustOne,JustOne));
744	+
745	+
746	+	//for signal only the resolution and absolute fraction are different for ee / mm
747	+	RooRealVar fsignal("fsignal", "fsignal", 0, 0, 300);
748	+	RooFormulaVar fsignalee("fsignalee","eefrac*fsignal",RooArgSet(eefrac,fsignal));
749	+	RooFormulaVar fsignalmm("fsignalmm","mmfrac*fsignal",RooArgSet(mmfrac,fsignal));
750	+
751	+	RooRealVar par1signal("par1signal", "par1signal", 45, 20, 100);
752	+	RooRealVar par3signal("par3signal", "par3signal", StartingMedge, 0, 300);
753	+	if(EdgeFitter::FixedMEdge>0) par3signal.setConstant();
754	+
755	+	RooSUSYTPdf signalee("signalee","signalee", mll , par1signal, sigmazee, par3signal);
756	+	RooSUSYTPdf signalmm("signalmm","signalmm", mll , par1signal, sigmazmm, par3signal);
757	+	RooAddPdf signalSF("signalSF","signalSF",RooArgList(signalee,signalmm),RooArgList(fsignalee,fsignalmm));
758	+
759	+	if(!EdgeFitter::AllowTriangle) {
760	+	fsignal.setVal(0.0); // kill off the signal if we don't want the triangle
761	+	fsignal.setConstant(1);
762	+	par1signal.setConstant(1);
763	+	par3signal.setConstant(1);
764	+	}
765	+
766	+
767	+	write_error(__FUNCTION__,"RnD version: fixing most parameters so the fit works very quickly (only one parameters instead of eight) !");
768	+	//          fttbarOF.setConstant(1);
769	+	fzSF.setConstant(1);
770	+	meanz.setConstant(1);
771	+	par1ttbarOF.setConstant(1);
772	+	par3ttbarOF.setConstant(1);
773	+	sigmazee.setConstant(1);
774	+	sigmazmm.setConstant(1);
775	+
776	+
777	+	//COMPLETE MODEL:
778	+
779	+	RooAddPdf model_ee("model_ee","model_ee", RooArgList(zee, ttbaree, signalee), RooArgList(fzee, fttbaree, fsignalee));
780	+	RooAddPdf model_mm("model_mm","model_mm", RooArgList(zmm, ttbarmm, signalmm), RooArgList(fzmm, fttbarmm, fsignalmm));
781	+	//  RooAddPdf model_SF("model_SF","model_SF", RooArgList(zSF, ttbarSF, signalSF), RooArgList(fzSF, fttbarSF, fsignalSF));
782	+	RooAddPdf model_SF("model_SF","model_SF",RooArgList(model_ee,model_mm),RooArgList(JustOne,JustOne));
783	+
784	+
785	+	//    _____ _               ____
786	+	//   / ____| |             |___ \
787	+	//  | (___ | |_ ___ _ __     __) |
788	+	//   \___ \| __/ _ \ '_ \   |__ <
789	+	//   ____) | ||  __/ |_) |  ___) |
790	+	//  |_____/ \__\___| .__/  |____/
791	+	//                 | |
792	+	//                 |_|
793	+	//
794	+	//  Fitting
795	+
796	+	RooSimultaneous simPdf("simPdf","simultaneous pdf",sample) ;
797	+	simPdf.addPdf(model_ee,"ee") ;
798	+	simPdf.addPdf(model_mm,"mm") ;
799	+	simPdf.addPdf(model_OF,"OF") ;
800	+
801	+	RooFitResult *result = simPdf.fitTo(combData, RooFit::Save(), RooFit::Extended(),RooFit::Minos(true));
802	+
803	+	if(result->covQual()!=3) {
804	+	write_error(__FUNCTION__,"Full fit did not converge!!! Cannot continue!");
805	+	dout << "covQual is " << result->covQual() << endl;
806	+	if(EdgeFitter::AllowTriangle) EdgeFitter::FixedMEdgeChi2_H1=-1;
807	+	else EdgeFitter::FixedMEdgeChi2_H0=-1;
808	+	if(EdgeFitter::RejectPointIfNoConvergence) return;
809	+	} else {
810	+	write_info(__FUNCTION__,"Full fit converged");
811	+	}
812	+
813	+	dout << "============================= < Full results > =============================" << endl;
814	+	result->Print();
815	+	dout << "============================= < /Full results > =============================" << endl;
816	+
817	+	//    _____ _               _  _
818	+	//   / ____| |             | || |
819	+	//  | (___ | |_ ___ _ __   | || |_
820	+	//   \___ \| __/ _ \ '_ \  |__   _|
821	+	//   ____) | ||  __/ |_) |    | |
822	+	//  |_____/ \__\___| .__/     |_|
823	+	//                 | |
824	+	//                 |_|
825	+	//
826	+	//   Present results
827	+
828	+	RooPlot* frame1 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("EE sample")) ;
829	+	frame1->GetXaxis()->CenterTitle(1);
830	+	frame1->GetYaxis()->CenterTitle(1);
831	+	combData.plotOn(frame1,RooFit::Name("eedata"),RooFit::Cut("sample==sample::ee")) ;
832	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"ee"),RooFit::Name("FullFitEE"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
833	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"ee"),RooFit::Name("TTbarEEonly"),RooFit::Components("ttbaree"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
834	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"ee"),RooFit::Name("DYEEonly"),RooFit::Components("zee"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kRed));
835	+	if(EdgeFitter::AllowTriangle) simPdf.plotOn(frame1,RooFit::Slice(sample,"ee"),RooFit::Name("SignalEEonly"),RooFit::Components("signalee"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kGreen));
836	+
837	+
838	+	RooPlot* frame2 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("mm sample")) ;
839	+	frame2->GetXaxis()->CenterTitle(1);
840	+	frame2->GetYaxis()->CenterTitle(1);
841	+	combData.plotOn(frame2,RooFit::Name("mmdata"),RooFit::Cut("sample==sample::mm")) ;
842	+	simPdf.plotOn(frame2,RooFit::Slice(sample,"mm"),RooFit::Name("FullFitMM"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
843	+	simPdf.plotOn(frame2,RooFit::Slice(sample,"mm"),RooFit::Name("TTbarMMonly"),RooFit::Components("ttbarmm"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
844	+	simPdf.plotOn(frame2,RooFit::Slice(sample,"mm"),RooFit::Name("DYMMonly"),RooFit::Components("zmm"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kRed));
845	+	if(EdgeFitter::AllowTriangle) simPdf.plotOn(frame2,RooFit::Slice(sample,"mm"),RooFit::Name("SignalMMonly"),RooFit::Components("signalmm"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kGreen));
846	+
847	+
848	+	RooPlot* frame3 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("OF sample")) ;
849	+	frame3->GetXaxis()->CenterTitle(1);
850	+	frame3->GetYaxis()->CenterTitle(1);
851	+	combData.plotOn(frame3,RooFit::Name("OFdata"),RooFit::Cut("sample==sample::OF")) ;
852	+	simPdf.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::Name("FullFitOF"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
853	+	simPdf.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::Name("TTbarOFonly"),RooFit::Components("ttbarOF"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
854	+	simPdf.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::Name("DYOFonly"),RooFit::Components("zOF"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kRed));
855	+
856	+	RooAbsPdf *ee_result = simPdf.getPdf("ee");
857	+	RooAbsPdf *mm_result = simPdf.getPdf("mm");
858	+	RooAddPdf SF_result("SF_result","SF_result",RooArgList(*ee_result,*mm_result));
859	+
860	+
861	+	TCanvas* g = new TCanvas("g","g") ;
862	+
863	+	RooPlot* frame4 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("SF sample")) ;
864	+	frame4->GetXaxis()->CenterTitle(1);
865	+	frame4->GetYaxis()->CenterTitle(1);
866	+	EdgeFitter::SFSample->plotOn(frame4,RooFit::Name("SFdata")) ;
867	+	SF_result.plotOn(frame4,RooFit::Name("FullFitSF"),RooFit::ProjWData(*EdgeFitter::SFSample),RooFit::LineColor(kBlack));
868	+	SF_result.plotOn(frame4,RooFit::Name("TTbarSFonly"),RooFit::ProjWData(*EdgeFitter::SFSample),RooFit::Components("ttbaree,ttbarmm"),RooFit::LineColor(kBlue),RooFit::LineStyle(kDashed));
869	+	SF_result.plotOn(frame4,RooFit::Name("DYSFonly"),RooFit::ProjWData(*EdgeFitter::SFSample),RooFit::Components("zmm,zee"), RooFit::LineStyle(kDashed), RooFit::LineColor(kRed));
870	+	if(EdgeFitter::AllowTriangle) SF_result.plotOn(frame4,RooFit::Name("SignalSFonly"),RooFit::Components("signalSF"), RooFit::ProjWData(*EdgeFitter::SFSample), RooFit::LineStyle(kDashed), RooFit::LineColor(kGreen));
871	+
872	+	/// ********************************************************************************************************************************
873	+	TCanvas* c = new TCanvas("rf501_simultaneouspdf","rf403_simultaneouspdf") ;
874	+	c->cd() ;
875	+	gPad->SetLeftMargin(0.15);
876	+	frame1->GetYaxis()->SetTitleOffset(1.4);
877	+	frame1->Draw();
878	+	if(is_data==data) DrawPrelim();
879	+	else DrawPrelim(PlottingSetup::luminosity,true);
880	+	CompleteSave(c,"Edge/"+prefix.str()+"_ee",false,false);
881	+
882	+	c->cd() ;
883	+	gPad->SetLeftMargin(0.15);
884	+	frame2->GetYaxis()->SetTitleOffset(1.4);
885	+	frame2->Draw();
886	+	if(is_data==data) DrawPrelim();
887	+	else DrawPrelim(PlottingSetup::luminosity,true);
888	+	CompleteSave(c,"Edge/"+prefix.str()+"_mm",false,false);
889	+
890	+	c->cd() ;
891	+	gPad->SetLeftMargin(0.15);
892	+	frame3->GetYaxis()->SetTitleOffset(1.4);
893	+	frame3->Draw();
894	+	if(is_data==data) DrawPrelim();
895	+	else DrawPrelim(PlottingSetup::luminosity,true);
896	+	CompleteSave(c,"Edge/"+prefix.str()+"_OF",false,false);
897	+
898	+	c->cd() ;
899	+	gPad->SetLeftMargin(0.15);
900	+	frame4->GetYaxis()->SetTitleOffset(1.4);
901	+	frame4->Draw();
902	+	if(is_data==data) DrawPrelim();
903	+	else DrawPrelim(PlottingSetup::luminosity,true);
904	+	CompleteSave(c,"Edge/"+prefix.str()+"_SF",false,false);
905	+
906	+	delete c;
907	+	/// ********************************************************************************************************************************
908	+
909	+
910	+	//  if(EdgeFitter::AllowTriangle) EdgeFitter::FixedMEdgeChi2_H1=frame2->chiSquare("FullFit", "EEdata", 3);
911	+	//  else EdgeFitter::FixedMEdgeChi2_H0=frame2->chiSquare("FullFit", "EEdata", 3);
912	+
913	+
914	+
915	+	}
916	+
917		void EdgeFitter::DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree *signalevents=0) {
918
919	<	string storagefile=EdgeFitter::RandomStorageFile();
229	<	TFile *f = new TFile(storagefile.c_str(),"RECREATE");
230	<	EdgeFitter::InitializeVariables(iMllLow,iMllHigh,jzbHigh,cut);
231	<
232	<	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;
919	>	TCut _cut(cut&&PlottingSetup::basiccut&&PlottingSetup::passtrig);
920
921	<	EdgeFitter::PrepareDatasets(is_data);
921	>	TFile *f = new TFile("workingfile.root","RECREATE");
922
923	<	EdgeFitter::eeSample->Write();
924	<	EdgeFitter::emSample->Write();
925	<	EdgeFitter::mmSample->Write();
926	<	EdgeFitter::AllData->Write();
923	>	EdgeFitter::InitializeVariables(PlottingSetup::iMllLow,PlottingSetup::iMllHigh,PlottingSetup::jzbHigh,_cut);
924	>
925	>	EdgeFitter::PrepareDatasets(is_data);
926	>
927	>	EdgeFitter::DrawDatasetContent(is_data);
928	>
929	>	RooFit::MsgLevel msglevel = RooMsgService::instance().globalKillBelow();
930	>	RooMsgService::instance().setGlobalKillBelow(RooFit::FATAL);
931	>
932	>
933	>	EdgeFitter::AllowTriangle=false;
934	>	EdgeFitter::DoFit(is_data, jzb_cut);
935	>
936	>	EdgeFitter::AllowTriangle=true;
937	>
938	>	bool ScanMassRange=false;
939	>	float ScanSteps=5.0;//GeV
940	>
941	>
942	>	if(ScanMassRange) {
943	>	TFile *fscan = new TFile("fscan.root","UPDATE");
944	>	TGraph *gr = new TGraph();
945	>	TGraph *Rgr = new TGraph();
946	>	stringstream GrName;
947	>	GrName << "ScanGraphFor_" << EdgeFitter::Mode << "_" << jzb_cut;
948	>	stringstream RGrName;
949	>	RGrName << "ScanRatioGraphFor_" << EdgeFitter::Mode << "_" << jzb_cut;
950	>	gr->SetName(GrName.str().c_str());
951	>	Rgr->SetName(RGrName.str().c_str());
952	>
953	>	int i=0;
954	>	for(float tempMedge=10;tempMedge<=300;tempMedge+=ScanSteps) {
955	>	write_info(__FUNCTION__,"Now testing Medge="+any2string(tempMedge)+" for "+EdgeFitter::Mode+">"+any2string(jzb_cut));
956	>	EdgeFitter::FixedMEdge=tempMedge;
957	>	EdgeFitter::DoFit(is_data, jzb_cut);
958	>	if(EdgeFitter::FixedMEdgeChi2_H1<0) continue;
959	>	gr->SetPoint(i,tempMedge,EdgeFitter::FixedMEdgeChi2_H1);
960	>	Rgr->SetPoint(i,tempMedge,EdgeFitter::FixedMEdgeChi2_H1/EdgeFitter::FixedMEdgeChi2_H0);
961	>	i++;
962	>	}
963	>
964	>	TCanvas *ScanCan = new TCanvas("ScanCan","ScanCan",500,500);
965	>	gr->GetXaxis()->SetTitle("m_{edge}");
966	>	gr->GetXaxis()->CenterTitle();
967	>	gr->GetYaxis()->SetTitle("#Chi^{2} / NDF");
968	>	gr->GetYaxis()->CenterTitle();
969	>	gr->GetYaxis()->SetTitleOffset(0.95);
970	>	gr->GetXaxis()->SetTitleOffset(0.9);
971	>	gr->SetLineColor(kBlue);
972	>	gr->SetTitle("");
973	>	gr->Draw("AL");
974	>	stringstream ScanCanSave;
975	>	ScanCanSave << "Edge/MEdgeScan_"+EdgeFitter::Mode+"_" << jzb_cut;
976	>	if(is_data) DrawPrelim();
977	>	else DrawMCPrelim();
978	>	CompleteSave(ScanCan,ScanCanSave.str());
979	>
980	>	Rgr->GetXaxis()->SetTitle("m_{edge}");
981	>	Rgr->GetXaxis()->CenterTitle();
982	>	Rgr->GetYaxis()->SetTitle("#Chi^{2} / NDF");
983	>	Rgr->GetYaxis()->CenterTitle();
984	>	Rgr->GetYaxis()->SetTitleOffset(0.95);
985	>	Rgr->GetXaxis()->SetTitleOffset(0.9);
986	>	Rgr->SetLineColor(kBlue);
987	>	Rgr->SetTitle("");
988	>	Rgr->Draw("AL");
989	>	ScanCanSave.str("");
990	>	ScanCanSave << "Edge/MEdgeScan_Ratio_"+EdgeFitter::Mode+"_" << jzb_cut;
991	>	if(is_data) DrawPrelim();
992	>	else DrawMCPrelim();
993	>	CompleteSave(ScanCan,ScanCanSave.str());
994	>	fscan->cd();
995	>	gr->Write();
996	>	delete ScanCan;
997	>	fscan->Close();
998	>	} else {
999	>	EdgeFitter::DoFit(is_data, jzb_cut);
1000	>	dout << "Chi^2 (H0) = " << EdgeFitter::FixedMEdgeChi2_H0 << endl;
1001	>	dout << "Chi^2 (H1) = " << EdgeFitter::FixedMEdgeChi2_H1 << endl;
1002	>	}
1003	>
1004	>
1005	>	RooMsgService::instance().setGlobalKillBelow(msglevel);
1006	>
1007		f->Close();
1008
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());
1009		}
1010
1011		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, vector<float> jzb_cut, int is_data, TCut cut, TTree *signalevents=0) {
1012	<	for(int icut=0;icut<jzb_cut.size();icut++) {
1012	>
1013	>	EdgeFitter::Mode="JZB";
1014	>	if(mcjzb=="met[4]") EdgeFitter::Mode="MET";
1015	>
1016	>	for(int icut=0;icut<(int)jzb_cut.size();icut++) {
1017		stringstream addcut;
1018		if(is_data==1) addcut << "(" << datajzb << ">" << jzb_cut[icut] << ")";
1019		if(is_data!=1) addcut << "(" << mcjzb << ">" << jzb_cut[icut] << ")";
1020		TCut jcut(addcut.str().c_str());
1021
1022	+
1023		EdgeFitter::DoEdgeFit(mcjzb, datajzb, DataPeakError, MCPeakError, jzb_cut[icut], icut, is_data, jcut&&cut, signalevents);
1024
1025		}

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