ViewVC Help

View File | Revision Log | Show Annotations | Root Listing

root/cvsroot/UserCode/cbrown/Development/Plotting/Modules/EdgeLimit.C

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 1.14 by buchmann, Wed Jun 12 13:50:28 2013 UTC

#	Line 1 | Line 1
1		#include <iostream>
2
3	+	#include <TVirtualIndex.h>
4	+
5		#include <RooRealVar.h>
6		#include <RooArgSet.h>
7		#include <RooDataSet.h>
8	<	#include <RooRealVar.h>
9	<	#include <RooArgSet.h>
10	<	#include <RooDataSet.h>
8	>	#include <RooMCStudy.h>
9	>	#include <RooCategory.h>
10	>
11	>	#include <RooPlot.h>
12	>	#include <RooSimultaneous.h>
13	>	#include <RooAddPdf.h>
14	>	#include <RooFitResult.h>
15	>	#include <RooVoigtian.h>
16	>	#include <RooMsgService.h>
17	>
18		#include <RooStats/ModelConfig.h>
19		#include "RooStats/ProfileLikelihoodCalculator.h"
20		#include "RooStats/LikelihoodInterval.h"
#	Line 15 | Line 24
24		#include "RooStats/HybridCalculatorOriginal.h"
25		#include "RooStats/HypoTestInverterOriginal.h"
26
27	+	//#include "ParametrizedEdge.C"
28	+	#include "EdgeModules/RooSUSYTPdf.cxx"
29	+	#include "EdgeModules/RooSUSYBkgPdf.cxx"
30	+
31
32		using namespace std;
33		using namespace PlottingSetup;
#	Line 40 | Line 53 | namespace EdgeFitter {
53
54		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree*);
55		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, vector<float> jzb_cut, int is_data, TCut cut, TTree*);
56	+	void getMedianLimit(RooWorkspace *ws,vector<RooDataSet> theToys,float &median,float &sigmaDown, float &sigmaUp, float &twoSigmaDown, float &twoSigmaUp);
57		void InitializeVariables(float _mllmin, float _mllmax, float _jzbmax, TCut _cut);
58		void PrepareDatasets(int);
59	<	void DoFit();
59	>	void DoFit(int is_data, float jzb_cut);
60		string RandomStorageFile();
61		Yield Get_Z_estimate(float,int);
62		Yield Get_T_estimate(float,int);
63	<	float SetEdgeLimit(int , RooWorkspace *ws);
63	>	float calcExclusion(RooWorkspace *ws, RooDataSet data, bool calcExclusion);
64	>	vector<RooDataSet> generateToys(RooWorkspace *ws, int nToys);
65	>	void prepareLimits(RooWorkspace *ws, bool ComputeBands);
66	>	TGraph* prepareLM(float mass, float nEv);
67
68		float jzbmax;
69		float mllmin;
#	Line 54 | Line 71 | namespace EdgeFitter {
71		TCut cut;
72
73		RooDataSet* AllData;
74	<	RooDataSet* eeSample;
75	<	RooDataSet* mmSample;
76	<	RooDataSet* emSample;
74	>	RooDataSet* SFSample;
75	>	RooDataSet* OFSample;
76	>
77	>	bool MarcoDebug=true;
78	>
79	>	float FixedMEdge=-1;
80	>	float FixedMEdgeChi2=-1;
81	>
82	>	bool RejectPointIfNoConvergence=false;
83	>
84	>	string Mode="UndefinedMode";
85
61	–	bool MarcoDebug;
86		}
87
88	<	float EdgeFitter::SetEdgeLimit(int is_data, RooWorkspace *ws) {
88	>	TGraph* EdgeFitter::prepareLM(float mass, float nEv) {
89	>	float massLM[1];
90	>	massLM[0]=mass;
91	>	float accEffLM[1];
92	>	accEffLM[0]=nEv/PlottingSetup::luminosity;
93	>	TGraph *lm = new TGraph(1, massLM, accEffLM);
94	>	lm->GetXaxis()->SetNoExponent(true);
95	>	lm->GetXaxis()->SetTitle("m_{cut} [GeV]");
96	>	lm->GetYaxis()->SetTitle("#sigma #times A [pb] 95% CL UL");
97	>	lm->GetXaxis()->SetLimits(0.,300.);
98	>	lm->GetYaxis()->SetRangeUser(0.,0.08);
99	>	lm->SetMarkerStyle(34);
100	>	lm->SetMarkerColor(kRed);
101	>	return lm;
102	>	}
103	>
104	>	vector<RooDataSet> EdgeFitter::generateToys(RooWorkspace *ws, int nToys) {
105	>	ws->ls();
106	>	ws->var("nSig")->setVal(0.);
107	>	ws->var("nSig")->setConstant(true);
108	>	RooFitResult* fit = ws->pdf("combModel")->fitTo(*ws->data("data_obs"),RooFit::Save());
109	>	vector<RooDataSet> theToys;
110	>
111	>	RooMCStudy mcEE(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"EE"));
112	>	mcEE.generate(nToys,44,true);
113	>	RooMCStudy mcMM(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"MM"));
114	>	mcMM.generate(nToys,44,true);
115	>	RooMCStudy mcOSOF(*ws->pdf("combModel"),RooArgSet(*ws->var("inv")),RooFit::Slice(*ws->cat("cat"),"OSOF"));
116	>	mcOSOF.generate(nToys,44,true);
117	>
118	>	RooRealVar mll("m_{ll}","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
119	>	RooRealVar id1("id1","id1",0,1,"GeV/c^{2}");
120	>	RooRealVar id2("id2","id2",0,1,"GeV/c^{2}");
121	>	RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
122	>	RooRealVar weight("weight","weight",0,1000,"");
123	>	RooArgSet observables(mll,jzb,id1,id2,weight);
124	>
125	>	for(int i=0;i<nToys;i++) {
126	>	RooDataSet* toyEE    = (RooDataSet*)mcEE.genData(i);
127	>	RooDataSet* toyMM    = (RooDataSet*)mcMM.genData(i);
128	>	RooDataSet* toyOSOF  = (RooDataSet*)mcOSOF.genData(i);
129	>	stringstream toyname;
130	>	toyname << "theToy_" << i;
131	>	write_warning(__FUNCTION__,"Problem while adding toys");
132	>	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));
133	>	theToys.push_back(toyData);
134	>	}
135	>	ws->var("nSig")->setVal(17.0);
136	>	ws->var("nSig")->setConstant(false);
137	>	return theToys;
138	>	}
139	>
140	>	void EdgeFitter::getMedianLimit(RooWorkspace *ws,vector<RooDataSet> theToys,float &median,float &sigmaDown, float &sigmaUp, float &twoSigmaDown, float &twoSigmaUp) {
141	>	TH1F *gauLimit = new TH1F("gausLimit","gausLimit",60,0.,80./PlottingSetup::luminosity);
142	>	vector<float> theLimits;
143	>	for(int itoy=0;itoy<(int)theToys.size();itoy++) {
144	>	float theLimit = calcExclusion(ws,theToys[itoy],false);
145	>	if(theLimit > 0 ) gauLimit->Fill(theLimit);
146	>	}
147	>	const Int_t nQ = 4;
148	>	Double_t yQ[nQ] = {0.,0.,0.,0.};
149	>	Double_t xQ[nQ] = {0.022750132,0.1586552539,0.84134474609999998,0.977249868};
150	>	gauLimit->GetQuantiles(nQ,yQ,xQ);
151	>	median = gauLimit->GetMean();
152	>	//  median = median1(gauLimit);
153	>	twoSigmaDown = abs(yQ[0]-median);
154	>	sigmaDown = abs(yQ[1]-median);
155	>	sigmaUp = abs(yQ[2]-median);
156	>	twoSigmaUp = abs(yQ[3]-median);
157	>	cout << median * PlottingSetup::luminosity << " " << sigmaUp * PlottingSetup::luminosity << endl;
158	>	}
159	>
160	>	void EdgeFitter::prepareLimits(RooWorkspace *ws, bool ComputeBands) {
161	>	if(ComputeBands) {
162	>	vector<RooDataSet> theToys = EdgeFitter::generateToys(ws,50);
163	>	vector<float> medVals;
164	>	vector<float> medLimits;
165	>	vector<float> sigmaLimitsDown;
166	>	vector<float> sigmaLimitsUp;
167	>	vector<float> twoSigmaLimitsDown;
168	>	vector<float> twoSigmaLimitsUp;
169	>	for(int i=20;i<=320;i+=40) {
170	>	ws->var("nSig")->setVal(10.0);
171	>	medVals.push_back((float)i);
172	>	ws->var("m0")->setVal((float)i);
173	>	ws->var("m0")->setConstant(true);
174	>	float Smedian,SsigmaDown,SsigmaUp,StwoSigmaDown,StwoSigmaUp;
175	>	EdgeFitter::getMedianLimit(ws,theToys,Smedian,SsigmaDown,SsigmaUp,StwoSigmaDown,StwoSigmaUp);
176	>	medLimits.push_back(Smedian);
177	>	sigmaLimitsDown.push_back(SsigmaDown);
178	>	sigmaLimitsUp.push_back(SsigmaUp);
179	>	twoSigmaLimitsDown.push_back(StwoSigmaDown);
180	>	twoSigmaLimitsUp.push_back(StwoSigmaUp);
181	>	}
182	>	write_warning(__FUNCTION__,"Still need to store limits");
183	>	} else {
184	>	vector<float> theVals;
185	>	vector<float> theLimits;
186	>	for(int i=20;i<300;i+=5) {
187	>	ws->var("nSig")->setVal(0.0);
188	>	theVals.push_back((float)i);
189	>	ws->var("m0")->setVal((float)i);
190	>	ws->var("m0")->setConstant(true);
191	>	//      theLimits.push_back(calcExclusion(ws,(RooDataSet)*ws->data("data_obs"),true));
192	>	write_error(__FUNCTION__,"Error while casting roo data set");
193	>	}
194	>
195	>	for(int i=0;i<(int)theLimits.size();i++) {
196	>	if((theLimits[i]<2.0/PlottingSetup::luminosity)||(theLimits[i]>40.0/PlottingSetup::luminosity)) {
197	>	cout << i << " : " << theVals[i] << endl;
198	>	theLimits[i] = (theLimits[i+2]+theLimits[i-2])/2.0;
199	>	write_warning(__FUNCTION__,"Need to store limits");
200	>	}
201	>	write_warning(__FUNCTION__,"Need to store limits");
202	>	}
203	>	}
204	>	}
205	>
206	>
207	>	float EdgeFitter::calcExclusion(RooWorkspace *ws, RooDataSet data, bool LoadDataObs) {
208	>	int numberOfToys=50;
209		RooRealVar mu("mu","nSig",0,10000,"");
210		RooArgSet poi = RooArgSet(mu);
211		RooArgSet *nullParams = (RooArgSet*)poi.snapshot();
#	Line 70 | Line 214 | float EdgeFitter::SetEdgeLimit(int is_da
214		model->SetWorkspace(*ws);
215		model->SetPdf("combModel");
216		model->SetParametersOfInterest(poi);
217	<	RooAbsData* data = ws->data("data_obs");
217	>	//  if(LoadDataObs) data = (RooDataSet)*ws->data("data_obs");
218
219	<	RooStats::ProfileLikelihoodCalculator plc(*data, *model);
219	>	RooStats::ProfileLikelihoodCalculator plc(data, *model);
220		plc.SetNullParameters(*nullParams);
221		plc.SetTestSize(0.05);
222	+
223		RooStats::LikelihoodInterval* interval = plc.GetInterval();
224		RooStats::HypoTestResult *htr = plc.GetHypoTest();
225		double theLimit = interval->UpperLimit( mu );
226	<	cout << "Significance " << htr->Significance() << endl;
226	>	//  double significance = htr->Significance();
227
228		ws->defineSet("obs","nB");
229		ws->defineSet("poi","nSig");
#	Line 102 | Line 247 | RooAbsData* data = ws->data("data_obs");
247		slrts.SetAltParameters(*sb_model.GetSnapshot());
248		RooStats::ProfileLikelihoodTestStat profll = RooStats::ProfileLikelihoodTestStat(*b_model.GetPdf());
249
250	<	RooStats::HybridCalculatorOriginal hc = RooStats::HybridCalculatorOriginal(*data, sb_model, b_model,0,0);
250	>	RooStats::HybridCalculatorOriginal hc = RooStats::HybridCalculatorOriginal(data, sb_model, b_model,0,0);
251		hc.SetTestStatistic(2);
252	<	hc.SetNumberOfToys(50);
108	<
252	>	hc.SetNumberOfToys(numberOfToys);
253
254		RooStats::HypoTestInverterOriginal hcInv =  RooStats::HypoTestInverterOriginal(hc,*ws->var("nSig"));
255		hcInv.SetTestSize(0.05);
#	Line 128 | Line 272 | TTree* SkimTree(int isample) {
272		cout << "   Original tree contains " << allsamples.collection[isample].events->GetEntries() << endl;
273		cout << "   Going to reduce it with cut " << EdgeFitter::cut << endl;
274		}
275	+	float edgeWeight;
276	+	newTree->Branch("edgeWeight",&edgeWeight,"edgeWeight/F");
277	+	float tmll;
278	+	allsamples.collection[isample].events->SetBranchAddress("mll",&tmll);
279	+	//  int id1,id2;
280	+
281		TTreeFormula *select = new TTreeFormula("select", EdgeFitter::cut, allsamples.collection[isample].events);
282	+	TTreeFormula *Weight = new TTreeFormula("Weight", cutWeight, allsamples.collection[isample].events);
283		float wgt=1.0;
284	<	allsamples.collection[isample].events->SetBranchAddress(cutWeight,&wgt);
284	>	//  allsamples.collection[isample].events->SetBranchAddress(cutWeight,&wgt);
285		for (Int_t entry = 0 ; entry < allsamples.collection[isample].events->GetEntries() ; entry++) {
286		allsamples.collection[isample].events->LoadTree(entry);
287		if (select->EvalInstance()) {
288		allsamples.collection[isample].events->GetEntry(entry);
289	<	wgt=wgt*xsweight;
289	>	wgt=Weight->EvalInstance();
290	>	edgeWeight=wgt*xsweight;
291		newTree->Fill();
292		}
293		}
#	Line 150 | Line 302 | void EdgeFitter::InitializeVariables(flo
302		jzbmax=_jzbmax;
303		cut=_cut;
304		}
305	<
305	>
306	>	TTree* MergeTrees(vector<TTree*> trees) {
307	>	TTree * newtree = (TTree*)trees[0]->CloneTree();
308	>	trees[0]->GetListOfClones()->Remove(newtree);
309	>	trees[0]->ResetBranchAddresses();
310	>	newtree->ResetBranchAddresses();
311	>
312	>	for(int itree=1;itree<trees.size();itree++) {
313	>	newtree->CopyAddresses(trees[itree]);
314	>	Long64_t nentries = trees[itree]->GetEntries();
315	>	for (Long64_t iEntry=0;iEntry<nentries;iEntry++) {
316	>	trees[itree]->GetEntry(iEntry);
317	>	newtree->Fill();
318	>	}
319	>	trees[itree]->ResetBranchAddresses(); // Disconnect from new tree
320	>	if (newtree->GetTreeIndex()) {
321	>	newtree->GetTreeIndex()->Append(trees[itree]->GetTreeIndex(),kTRUE);
322	>	}
323	>	if (newtree && newtree->GetTreeIndex()) {
324	>	newtree->GetTreeIndex()->Append(0,kFALSE); // Force the sorting
325	>	}
326	>	}
327	>	return newtree;
328	>	}
329	>
330	>
331	>
332		void EdgeFitter::PrepareDatasets(int is_data) {
333	<	TTree *completetree;
334	<	bool hashit=0;
335	<	for(int isample=0;isample<allsamples.collection.size();isample++) {
333	>	write_warning(__FUNCTION__,"Need to make this function ready for scans as well (use signal from scan samples)");
334	>	//  TFile *tempout = new TFile("tempout.root","RECREATE");
335	>	vector<TTree*> SkimmedTrees;
336	>	TTree *SkimmedTree[(int)allsamples.collection.size()];
337	>	for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
338		if(!allsamples.collection[isample].is_active) continue;
339		if(is_data==1&&allsamples.collection[isample].is_data==false) continue;//kick all samples that aren't data if we're looking for data.
340		if(is_data==1&&allsamples.collection[isample].is_data==false) continue;//kick all samples that aren't data if we're looking for data.
341		if(is_data!=1&&allsamples.collection[isample].is_data==true) continue;//kick all data samples when looking for MC
342		if(is_data!=2&&allsamples.collection[isample].is_signal==true) continue;//remove signal sample if we don't want it.
343		if(EdgeFitter::MarcoDebug) cout << "Considering : " << allsamples.collection[isample].samplename << endl;
344	<	if(!hashit) {
345	<	hashit=true;
346	<	completetree = SkimTree(isample)->CloneTree();
347	<	} else {
348	<	completetree->CopyEntries(SkimTree(isample));
349	<	}
350	<	if(EdgeFitter::MarcoDebug) cout << "Complete tree now contains " << completetree->GetEntries() << " entries " << endl;
344	>	SkimmedTrees.push_back(SkimTree(isample));
345	>	//      SkimmedTree[isample] = SkimTree(isample);
346	>	//    tempout->cd();
347	>	//    SkimmedTree[isample]->Write();
348	>	//    treelist->Add(SkimmedTree[isample]);
349	>	//treelist->Add(SkimTree(isample));
350	>	//    allsamples.collection[isample].tfile->Close();
351		}
352
353	<	RooRealVar mll("mll","mll",mllmin,mllmax,"GeV/c^{2}");
353	>	TTree *completetree  = MergeTrees(SkimmedTrees);
354	>
355	>	//  for(int isample=0;isample<(int)allsamples.collection.size();isample++) {
356	>	//    if(SkimmedTree[isample]) SkimmedTree[isample]->Delete();
357	>	//  }
358	>
359	>	if(EdgeFitter::MarcoDebug) cout << "Complete tree now contains " << completetree->GetEntries() << " entries " << endl;
360	>
361	>	RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
362		RooRealVar id1("id1","id1",0,1,"GeV/c^{2}");
363		RooRealVar id2("id2","id2",0,1,"GeV/c^{2}");
364	<	RooRealVar jzb("jzb","jzb",-jzbmax,jzbmax,"GeV/c");
365	<	RooRealVar weight("weight","weight",0,1000,"");
178	<	RooArgSet observables(mll,jzb,id1,id2,weight);
364	>	RooRealVar edgeWeight("edgeWeight","edgeWeight",0,1000,"");
365	>	RooArgSet observables(mll,id1,id2,edgeWeight);
366
367		string title="CMS Data";
368		if(is_data!=1) title="CMS SIMULATION";
369	<	RooDataSet LAllData("LAllData",title.c_str(),completetree,observables,"","weight");
369	>	RooDataSet LAllData("LAllData",title.c_str(),completetree,observables,"","edgeWeight");
370		completetree->Write();
371	<	//  delete completetree;
371	>	delete completetree;
372	>	//  tempout->Close();
373
374	<	EdgeFitter::eeSample = (RooDataSet*)LAllData.reduce("id1==id2&&id1==0");
375	<	EdgeFitter::mmSample = (RooDataSet*)LAllData.reduce("id1==id2&&id1==1");
188	<	EdgeFitter::emSample = (RooDataSet*)LAllData.reduce("id1!=id2");
374	>	EdgeFitter::SFSample = (RooDataSet*)LAllData.reduce("id1==id2");
375	>	EdgeFitter::OFSample = (RooDataSet*)LAllData.reduce("id1!=id2");
376		EdgeFitter::AllData  = (RooDataSet*)LAllData.reduce("id1!=id2||id1==id2");
377
378	<	eeSample->SetName("eeSample");
379	<	mmSample->SetName("mmSample");
193	<	emSample->SetName("emSample");
378	>	SFSample->SetName("SFSample");
379	>	OFSample->SetName("OFSample");
380		AllData->SetName("AllData");
381
382		if(EdgeFitter::MarcoDebug) {
383		cout << "Number of events in data sample = " << AllData->numEntries() << endl;
384	<	cout << "Number of events in ee sample = " << eeSample->numEntries() << endl;
385	<	cout << "Number of events in mm sample = " << mmSample->numEntries() << endl;
200	<	cout << "Number of events in em sample = " << emSample->numEntries() << endl;
384	>	cout << "Number of events in eemm sample = " << SFSample->numEntries() << endl;
385	>	cout << "Number of events in em sample = " << OFSample->numEntries() << endl;
386		}
387	+
388	+	}
389	+
390	+	string WriteWithError(float central, float error, int digits) {
391	+	float ref=central;
392	+	if(ref<0) ref=-central;
393	+	int HighestSigDigit = 0;
394	+	if(ref>1) HighestSigDigit = int(log(ref)/log(10))+1;
395	+	else HighestSigDigit = int(log(ref)/(log(10)));
396	+
397	+	float divider=pow(10.0,(double(HighestSigDigit-digits)));
398	+
399	+	stringstream result;
400	+	result << divider*int(central/divider+0.5) << " #pm " << divider*int(error/divider+0.5);
401	+	return result.str();
402		}
403
404	+
405		string EdgeFitter::RandomStorageFile() {
406		TRandom3 *r = new TRandom3(0);
407		int rho = (int)r->Uniform(1,10000000);
#	Line 213 | Line 414 | string EdgeFitter::RandomStorageFile() {
414		Yield EdgeFitter::Get_Z_estimate(float jzb_cut, int icut) {
415		if(MarcoDebug) write_error(__FUNCTION__,"Returning random Z yield");
416		Yield a(123,45,67); return a;
216	–
417		return PlottingSetup::allresults.predictions[icut].Zbkg;
418		}
419
#	Line 223 | Line 423 | Yield EdgeFitter::Get_T_estimate(float j
423		return PlottingSetup::allresults.predictions[icut].Flavorsym;
424		}
425
426	+	void EdgeFitter::DoFit(int is_data, float jzb_cut) {
427	+	RooRealVar mll("mll","m_{ll}",mllmin,mllmax,"GeV/c^{2}");
428	+	RooRealVar edgeWeight("edgeWeight","edgeWeight",0,1000,"");
429	+	RooCategory sample("sample","sample") ;
430	+	sample.defineType("SF");
431	+	//sample.defineType("mm");
432	+	sample.defineType("OF");
433	+
434	+	//RooDataSet combData("combData","combined data",mll,Index(sample),Import("SF",*SFSample),Import("mm",*mmSample),Import("OF",*OFSample));
435	+	RooDataSet combData("combData","combined data",RooArgSet(mll,edgeWeight),RooFit::Index(sample),RooFit::Import("SF",*SFSample),RooFit::Import("OF",*OFSample),RooFit::WeightVar(edgeWeight));
436	+
437	+
438	+	//First we make a fit to opposite flavor
439	+	RooRealVar fttbarOF("fttbarOF", "fttbarOF", 100, 0, 10000);
440	+	RooRealVar par1ttbarOF("par1ttbarOF", "par1ttbarOF", 1.6, 0.01, 4.0);
441	+	RooRealVar par2ttbarOF("par2ttbarOF", "par2ttbarOF", 1.0);
442	+	RooRealVar par3ttbarOF("par3ttbarOF", "par3ttbarOF", 0.028, 0.001, 1.0);
443	+	RooRealVar par4ttbarOF("par4ttbarOF", "par4ttbarOF", 2.0);
444	+	RooSUSYBkgPdf ttbarOF("ttbarOF","ttbarOF", mll , par1ttbarOF, par2ttbarOF, par3ttbarOF, par4ttbarOF);
445	+	RooAddPdf model_OF("model_OF","model_OF", ttbarOF, fttbarOF);
446	+	RooSimultaneous simPdfOF("simPdfOF","simultaneous pdf", sample) ;
447	+	simPdfOF.addPdf(model_OF,"OF");
448	+	RooFitResult *resultOF = simPdfOF.fitTo(combData, RooFit::Save(),RooFit::Extended(),RooFit::Minos(true));
449	+	//resultOF->Print();
450	+
451	+	if(resultOF->covQual()!=3) {
452	+	write_error(__FUNCTION__,"OF fit did not converge!!! Cannot continue!");
453	+	cout << "covQual is " << resultOF->covQual() << endl;
454	+	EdgeFitter::FixedMEdgeChi2=-1;
455	+	if(EdgeFitter::RejectPointIfNoConvergence) return;
456	+	} else {
457	+	write_info(__FUNCTION__,"OF fit converged");
458	+	}
459	+
460	+	RooRealVar* resultOFpar1_ = (RooRealVar*) resultOF->floatParsFinal().find("par1ttbarOF");
461	+	float resultOFpar1 = resultOFpar1_->getVal();
462	+	//RooRealVar* resultOFpar2_ = (RooRealVar*) resultOF->floatParsFinal().find("par2ttbarOF");
463	+	//float resultOFpar2 = resultOFpar2_->getVal();
464	+	//cout << "caca2.txt" << endl;
465	+
466	+	RooRealVar* resultOFpar3_ = (RooRealVar*) resultOF->floatParsFinal().find("par3ttbarOF");
467	+	float resultOFpar3 = resultOFpar3_->getVal();
468	+
469	+	//RooRealVar* resultOFpar4_ = (RooRealVar*) resultOF->floatParsFinal().find("par4ttbarOF");
470	+	//float resultOFpar4 = resultOFpar4_->getVal();
471	+	//cout << "caca4.txt" << endl;
472	+
473	+	float StartingMedge=70;
474	+	if(EdgeFitter::FixedMEdge>0) StartingMedge=EdgeFitter::FixedMEdge;
475	+
476	+
477	+	// Now same flavor
478	+	RooRealVar fzSF("fzSF", "fzSF", 5, 0, 100000);
479	+	RooRealVar meanzSF("meanzSF", "meanzSF", 91.1876, 89, 95);
480	+	//RooRealVar sigmazSF("sigmazSF", "sigmazSF", 0.5);
481	+	RooRealVar sigmazSF("sigmazSF", "sigmazSF", 5, 0.5, 5);
482	+	RooRealVar widthzSF("widthzSF", "widthzSF", 2.94);
483	+
484	+	RooRealVar fttbarSF("fttbarSF", "fttbarSF", 100, 0, 100000);
485	+	RooRealVar par1ttbarSF("par1ttbarSF", "par1ttbarSF", 1.02*resultOFpar1, 0, 100);
486	+	RooRealVar par2ttbarSF("par2ttbarSF", "par2ttbarSF", 1.0);
487	+	RooRealVar par3ttbarSF("par3ttbarSF", "par3ttbarSF", resultOFpar3, 0, 100);
488	+	RooRealVar par4ttbarSF("par4ttbarSF", "par4ttbarSF", 2.0);
489	+
490	+	RooRealVar fsignalSF("fsignalSF", "fsignalSF", 10, 0, 300);
491	+	RooRealVar par1signalSF("par1signalSF", "par1signalSF", 45, 20, 100);
492	+	RooRealVar par2signalSF("par2signalSF", "par2signalSF", 2, 1, 10);
493	+	RooRealVar par3signalSF("par3signalSF", "par3signalSF", StartingMedge, 0, 300);
494	+
495	+	RooVoigtian zSF("zSF", "zSF", mll, meanzSF, widthzSF, sigmazSF);
496	+
497	+	if(EdgeFitter::FixedMEdge>0) par3signalSF.setConstant();
498	+
499	+	/*  par1ttbarOF.setConstant(1);
500	+	par2ttbarOF.setConstant(1);
501	+	par3ttbarOF.setConstant(1);
502	+	par4ttbarOF.setConstant(1);
503	+	fttbarOF.setConstant(1);*/
504	+
505	+	RooSUSYBkgPdf ttbarSF("ttbarSF","ttbarSF", mll , par1ttbarSF, par2ttbarSF, par3ttbarSF, par4ttbarSF);
506	+	//RooSUSYTPdf signalSF("signalSF","signalSF", mll , par1signalSF, par2signalSF, par3signalSF);
507	+	RooSUSYTPdf signalSF("signalSF","signalSF", mll , par1signalSF, sigmazSF, par3signalSF);
508	+
509	+	/*  par1ttbarSF.setConstant(true);
510	+	par2ttbarSF.setConstant(true);
511	+	par3ttbarSF.setConstant(true);
512	+	par4ttbarSF.setConstant(true);*/
513	+
514	+
515	+	//RooAddPdf model_SF("model_SF","model_SF", RooArgList(zSF, ttbarSF, signalSF), RooArgList(fzSF, fttbarSF, fsignalSF));
516	+	RooAddPdf model_SF("model_SF","model_SF", RooArgList(zSF, ttbarSF, signalSF), RooArgList(fzSF, fttbarSF, fsignalSF));
517	+	RooAddPdf model_OF("model_OF","model_OF", RooArgList(ttbarSF), RooArgList(fttbarSF));
518	+
519	+
520	+	RooSimultaneous simPdf("simPdf","simultaneous pdf",sample) ;
521	+	simPdf.addPdf(model_SF,"SF") ;
522	+	simPdf.addPdf(model_OF,"OF") ;
523	+
524	+	RooFitResult *result = simPdf.fitTo(combData, RooFit::Save(), RooFit::Extended(),RooFit::Minos(true));
525	+
526	+	if(result->covQual()!=3) {
527	+	write_error(__FUNCTION__,"Full fit did not converge!!! Cannot continue!");
528	+	cout << "covQual is " << result->covQual() << endl;
529	+	EdgeFitter::FixedMEdgeChi2=-1;
530	+	if(EdgeFitter::RejectPointIfNoConvergence) return;
531	+	} else {
532	+	write_info(__FUNCTION__,"Full fit converged");
533	+	}
534	+
535	+	//  result->Print();
536	+
537	+	RooPlot* frame1 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("EE sample")) ;
538	+	frame1->GetXaxis()->CenterTitle(1);
539	+	frame1->GetYaxis()->CenterTitle(1);
540	+	combData.plotOn(frame1,RooFit::Name("SFdata"),RooFit::Cut("sample==sample::SF")) ;
541	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Name("FullFit"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
542	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Name("TTbarSFonly"),RooFit::Components("ttbarSF"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
543	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Name("DYSFonly"),RooFit::Components("zSF"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kRed));
544	+	simPdf.plotOn(frame1,RooFit::Slice(sample,"SF"),RooFit::Name("SignalSFonly"),RooFit::Components("signalSF"), RooFit::ProjWData(sample, combData), RooFit::LineStyle(kDashed), RooFit::LineColor(kGreen));
545	+
546	+	EdgeFitter::FixedMEdgeChi2 = frame1->chiSquare("FullFit", "SFdata", 3);
547	+
548	+
549	+	cout << "Result   : " << endl;
550	+	cout << "f signal : " << fsignalSF.getVal() << " +/- " << fsignalSF.getError() << endl;
551	+	cout << "f ttbar  : " << fttbarSF.getVal() << " +/- " << fttbarSF.getError() << endl;
552	+	cout << "f tt OF  : " << fttbarOF.getVal() << " +/- " << fttbarOF.getError() << endl;
553	+	cout << "f z SF   : " << fzSF.getVal() << " +/- " << fzSF.getError() << endl;
554	+	cout << "#Chi^{2}/NDF     : " << EdgeFitter::FixedMEdgeChi2 << endl;
555	+
556	+	// The same plot for the cointrol sample slice
557	+	RooPlot* frame3 = mll.frame(RooFit::Bins(int((mllmax-mllmin)/5.0)),RooFit::Title("OF sample")) ;
558	+	frame3->GetXaxis()->CenterTitle(1);
559	+	frame3->GetYaxis()->CenterTitle(1);
560	+	frame3->SetMaximum(frame1->GetMaximum());
561	+	combData.plotOn(frame3,RooFit::Cut("sample==sample::OF")) ;
562	+	simPdfOF.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::ProjWData(sample,combData), RooFit::LineColor(kBlack)) ;
563	+	simPdfOF.plotOn(frame3,RooFit::Slice(sample,"OF"),RooFit::Components("ttbarOF"),RooFit::ProjWData(sample,combData),RooFit::LineStyle(kDashed)) ;
564	+
565	+
566	+	stringstream prefix;
567	+	if(is_data==data) prefix << "data_";
568	+	if(is_data==mc) prefix << "mc_";
569	+	if(is_data==mcwithsignal) prefix << "mcwithS_";
570	+
571	+	prefix << EdgeFitter::Mode << "_" << jzb_cut;
572	+
573	+
574	+
575	+	TCanvas* c = new TCanvas("rf501_simultaneouspdf","rf403_simultaneouspdf") ;
576	+	c->cd() ;
577	+	gPad->SetLeftMargin(0.15);
578	+	frame1->GetYaxis()->SetTitleOffset(1.4);
579	+	frame1->Draw();
580	+	if(is_data==data) DrawPrelim();
581	+	else DrawPrelim(PlottingSetup::luminosity,true);
582	+	stringstream infotext;
583	+	infotext << "#splitline{Fit results (" << EdgeFitter::Mode << ">" << jzb_cut << "): }{#splitline{";
584	+	infotext << "N(Data) = " << EdgeFitter::SFSample->numEntries() << "}{#splitline{";
585	+	infotext << "N(Z+Jets) = " << WriteWithError(fzSF.getVal(),fzSF.getError(),3) << "}{#splitline{";
586	+	infotext << "N(t#bar{t}) = " << WriteWithError(fttbarSF.getVal(),fttbarSF.getError(),3) << "}{#splitline{";
587	+	infotext << "N(signal) = " << WriteWithError(fsignalSF.getVal(),fsignalSF.getError(),3) << "}{";
588	+	infotext << "m_{edge} = " << WriteWithError(par3signalSF.getVal(),par3signalSF.getError(),3) << "}}}}}";
589	+
590	+	TLatex *infobox = new TLatex(0.57,0.75,infotext.str().c_str());
591	+	infobox->SetNDC();
592	+	infobox->SetTextSize(0.03);
593	+	infobox->Draw();
594	+	if(EdgeFitter::FixedMEdge>=0) CompleteSave(c,"Edge/"+prefix.str()+"_SF__MEdgeFix_"+any2string(EdgeFitter::FixedMEdge),false,false);
595	+	else CompleteSave(c,"Edge/"+prefix.str()+"_SF",false,false);
596	+	delete c;
597	+
598	+	TCanvas* e = new TCanvas("rf501_simultaneouspdfem","rf403_simultaneouspdfem") ;
599	+	e->cd();
600	+	gPad->SetLeftMargin(0.15);
601	+	frame3->GetYaxis()->SetTitleOffset(1.4);
602	+	frame3->Draw();
603	+	if(is_data==data) DrawPrelim();
604	+	else DrawPrelim(PlottingSetup::luminosity,true);
605	+	if(EdgeFitter::FixedMEdge>=0) CompleteSave(e,"Edge/"+prefix.str()+"_OF__MEdgeFix_"+any2string(EdgeFitter::FixedMEdge),false,false);
606	+	else CompleteSave(e,"Edge/"+prefix.str()+"_OF",false,false);
607	+	delete e;
608	+
609	+
610	+
611	+
612	+	/*  TCanvas* f = new TCanvas("rf501_simultaneouspdfem","rf403_simultaneouspdfem") ;
613	+	f->cd();
614	+	gPad->SetLeftMargin(0.15);
615	+	frame4->GetYaxis()->SetTitleOffset(1.4);
616	+	frame4->Draw();
617	+	if(is_data==data) DrawPrelim();
618	+	else DrawPrelim(PlottingSetup::luminosity,true);
619	+	CompleteSave(f,"Edge/"+prefix.str()+"_SF");
620	+	delete f;*/
621	+
622	+
623	+	/*
624	+	float maxZ=200;
625	+	RooWorkspace* wspace = new RooWorkspace();
626	+	stringstream mllvar;
627	+	mllvar << "mll[" << (mllmax-mllmin)/2 << "," << mllmin << "," << mllmax << "]";
628	+	wspace->factory(mllvar.str().c_str());
629	+	wspace->var("mll")->setBins(30);
630	+	wspace->factory("nSig[1.,0.,100.]");
631	+	wspace->factory(("nZ[0.04.,0.,"+any2string(maxZ)+"]").c_str());
632	+	wspace->factory("rME[1.12,1.05,1.19]");
633	+	wspace->factory("effUncert[1.]");
634	+	EdgeFitter::prepareLimits(wspace, true);
635	+	*/
636	+
637	+	write_warning(__FUNCTION__," A lot missing here to calculate limits");
638	+
639	+	}
640	+
641		void EdgeFitter::DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, float jzb_cut, int icut, int is_data, TCut cut, TTree *signalevents=0) {
642
643	<	string storagefile=EdgeFitter::RandomStorageFile();
644	<	TFile *f = new TFile(storagefile.c_str(),"RECREATE");
645	<	EdgeFitter::InitializeVariables(iMllLow,iMllHigh,jzbHigh,cut);
646	<
647	<	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;
643	>	TCut _cut(cut&&PlottingSetup::basiccut&&PlottingSetup::passtrig);
644	>
645	>	TFile *f = new TFile("workingfile.root","RECREATE");
646	>
647	>	EdgeFitter::InitializeVariables(PlottingSetup::iMllLow,PlottingSetup::iMllHigh,PlottingSetup::jzbHigh,_cut);
648
649		EdgeFitter::PrepareDatasets(is_data);
650	+
651	+	RooFit::MsgLevel msglevel = RooMsgService::instance().globalKillBelow();
652	+	RooMsgService::instance().setGlobalKillBelow(RooFit::FATAL);
653	+
654	+
655	+	bool ScanMassRange=false;
656	+
657	+
658	+
659	+	if(ScanMassRange) {
660	+	TFile *fscan = new TFile("fscan.root","UPDATE");
661	+	TGraph *gr = new TGraph();
662	+	stringstream GrName;
663	+	GrName << "ScanGraphFor_" << EdgeFitter::Mode << "_" << jzb_cut;
664	+	gr->SetName(GrName.str().c_str());
665
666	<	EdgeFitter::eeSample->Write();
667	<	EdgeFitter::emSample->Write();
668	<	EdgeFitter::mmSample->Write();
669	<	EdgeFitter::AllData->Write();
670	<	f->Close();
666	>	int i=0;
667	>	for(float tempMedge=10;tempMedge<=300;tempMedge+=5.0) {
668	>	write_info(__FUNCTION__,"Now testing Medge="+any2string(tempMedge)+" for "+EdgeFitter::Mode+">"+any2string(jzb_cut));
669	>	EdgeFitter::FixedMEdge=tempMedge;
670	>	EdgeFitter::DoFit(is_data, jzb_cut);
671	>	if(EdgeFitter::FixedMEdgeChi2<0) continue;
672	>	gr->SetPoint(i,tempMedge,EdgeFitter::FixedMEdgeChi2);
673	>	i++;
674	>	}
675	>
676	>	TCanvas *ScanCan = new TCanvas("ScanCan","ScanCan",500,500);
677	>	gr->GetXaxis()->SetTitle("m_{edge}");
678	>	gr->GetXaxis()->CenterTitle();
679	>	gr->GetYaxis()->SetTitle("#Chi^{2} / NDF");
680	>	gr->GetYaxis()->CenterTitle();
681	>	gr->GetYaxis()->SetTitleOffset(0.95);
682	>	gr->GetXaxis()->SetTitleOffset(0.9);
683	>	gr->SetLineColor(kBlue);
684	>	gr->SetTitle("");
685	>	gr->Draw("AL");
686	>	stringstream ScanCanSave;
687	>	ScanCanSave << "Edge/MEdgeScan_"+EdgeFitter::Mode+"_" << jzb_cut;
688	>	if(is_data) DrawPrelim();
689	>	else DrawMCPrelim();
690	>	CompleteSave(ScanCan,ScanCanSave.str());
691	>	fscan->cd();
692	>	gr->Write();
693	>	delete ScanCan;
694	>	fscan->Close();
695	>	} else {
696	>	EdgeFitter::DoFit(is_data, jzb_cut);
697	>	}
698	>
699	>
700	>
701	>
702	>	EdgeFitter::DoFit(is_data, jzb_cut);
703	>	RooMsgService::instance().setGlobalKillBelow(msglevel);
704	>
705
706	<	write_warning(__FUNCTION__,"Work continues here");
706	>	f->Close();
707
248	–	if(EdgeFitter::MarcoDebug) write_warning(__FUNCTION__,"Need to uncomment the next line (remove the output file)");
249	–	//  gSystem->Exec(("rm "+storagefile).c_str());
708		}
709
710		void DoEdgeFit(string mcjzb, string datajzb, float DataPeakError, float MCPeakError, vector<float> jzb_cut, int is_data, TCut cut, TTree *signalevents=0) {
711	<	for(int icut=0;icut<jzb_cut.size();icut++) {
711	>
712	>	EdgeFitter::Mode="JZB";
713	>	if(mcjzb=="met[4]") EdgeFitter::Mode="MET";
714	>
715	>	for(int icut=0;icut<(int)jzb_cut.size();icut++) {
716		stringstream addcut;
717		if(is_data==1) addcut << "(" << datajzb << ">" << jzb_cut[icut] << ")";
718		if(is_data!=1) addcut << "(" << mcjzb << ">" << jzb_cut[icut] << ")";
719		TCut jcut(addcut.str().c_str());
720
721	+
722		EdgeFitter::DoEdgeFit(mcjzb, datajzb, DataPeakError, MCPeakError, jzb_cut[icut], icut, is_data, jcut&&cut, signalevents);
723
724		}

Diff Legend

–	Removed lines
+	Added lines
<	Changed lines
>	Changed lines