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Comparing UserCode/cbrown/Development/Plotting/Modules/EdgeLimit.C (file contents):
Revision 1.2 by buchmann, Fri Jun 15 15:56:37 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 <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"
25	+	#include "RooStats/HypoTestResult.h"
26	+	#include "RooStats/SimpleLikelihoodRatioTestStat.h"
27	+	#include "RooStats/ProfileLikelihoodTestStat.h"
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 28 | 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	<
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 44 | 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	>	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	>	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	<	bool MarcoDebug;
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();
226	>	nullParams->setRealValue("nSig",0);
227	>	RooStats::ModelConfig *model = new RooStats::ModelConfig();
228	>	model->SetWorkspace(*ws);
229	>	model->SetPdf("combModel");
230	>	model->SetParametersOfInterest(poi);
231	>	//  if(LoadDataObs) data = (RooDataSet)*ws->data("data_obs");
232	>
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	>	//  double significance = htr->Significance();
241	>
242	>	ws->defineSet("obs","nB");
243	>	ws->defineSet("poi","nSig");
244	>
245	>	RooStats::ModelConfig b_model = RooStats::ModelConfig("B_model", ws);
246	>	b_model.SetPdf(*ws->pdf("combModel"));
247	>	b_model.SetObservables(*ws->set("obs"));
248	>	b_model.SetParametersOfInterest(*ws->set("poi"));
249	>	ws->var("nSig")->setVal(0.0);  //# important!
250	>	b_model.SetSnapshot(*ws->set("poi"));
251	>
252	>	RooStats::ModelConfig sb_model = RooStats::ModelConfig("S+B_model", ws);
253	>	sb_model.SetPdf(*ws->pdf("combModel"));
254	>	sb_model.SetObservables(*ws->set("obs"));
255	>	sb_model.SetParametersOfInterest(*ws->set("poi"));
256	>	ws->var("nSig")->setVal(64.0); //# important!
257	>	sb_model.SetSnapshot(*ws->set("poi"));
258	>
259	>	RooStats::SimpleLikelihoodRatioTestStat slrts = RooStats::SimpleLikelihoodRatioTestStat(*b_model.GetPdf(),*sb_model.GetPdf());
260	>	slrts.SetNullParameters(*b_model.GetSnapshot());
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);
265	>	hc.SetTestStatistic(2);
266	>	hc.SetNumberOfToys(numberOfToys);
267	>
268	>	RooStats::HypoTestInverterOriginal hcInv =  RooStats::HypoTestInverterOriginal(hc,*ws->var("nSig"));
269	>	hcInv.SetTestSize(0.05);
270	>	hcInv.UseCLs(true);
271	>	hcInv.RunFixedScan(5,theLimit-0.5,theLimit+0.5);;
272	>	RooStats::HypoTestInverterResult* hcInt = hcInv.GetInterval();
273	>	float ulError = hcInt->UpperLimitEstimatedError();
274	>	theLimit = hcInt->UpperLimit();
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;
62	–	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 79 | Line 336 | void EdgeFitter::InitializeVariables(flo
336		jzbmax=_jzbmax;
337		cut=_cut;
338		}
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,"");
107	<	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 142 | 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;
145	–
568		return PlottingSetup::allresults.predictions[icut].Zbkg;
569		}
570
#	Line 152 | Line 574 | Yield EdgeFitter::Get_T_estimate(float j
574		return PlottingSetup::allresults.predictions[icut].Flavorsym;
575		}
576
577	<	void EdgeFitter::DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree *signalevents=0) {
577	>	void EdgeFitter::DoFit(int is_data, float jzb_cut) {
578
579	<	string storagefile=EdgeFitter::RandomStorageFile();
580	<	TFile *f = new TFile(storagefile.c_str(),"RECREATE");
581	<	EdgeFitter::InitializeVariables(iMllLow,iMllHigh,jzbHigh,cut);
582	<
161	<	Yield Zestimate=EdgeFitter::Get_Z_estimate(jzb_cut,icut);
162	<	Yield Testimate=EdgeFitter::Get_T_estimate(jzb_cut,icut);
163	<	cout << "Cut at JZB>" << jzb_cut << "; using estimates: " << endl;
164	<	cout << "       Z : " << Zestimate  << endl;
165	<	cout << "       T : " << Testimate  << endl;
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	<	EdgeFitter::PrepareDatasets(is_data);
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	<	EdgeFitter::eeSample->Write();
668	<	EdgeFitter::emSample->Write();
669	<	EdgeFitter::mmSample->Write();
670	<	EdgeFitter::AllData->Write();
671	<	f->Close();
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	<	write_warning(__FUNCTION__,"Work continues here");
906	>	delete c;
907	>	/// ********************************************************************************************************************************
908
909	<	if(EdgeFitter::MarcoDebug) write_warning(__FUNCTION__,"Need to uncomment the next line (remove the output file)");
910	<	//  gSystem->Exec(("rm "+storagefile).c_str());
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	+	TCut _cut(cut&&PlottingSetup::basiccut&&PlottingSetup::passtrig);
920	+
921	+	TFile *f = new TFile("workingfile.root","RECREATE");
922	+
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	+
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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