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dc1455ee | 1 | /************************************************************************* |
2 | * Copyright(c) 1998-2008, ALICE Experiment at CERN, All rights reserved. * | |
3 | * * | |
4 | * Author: The ALICE Off-line Project. * | |
5 | * Contributors are mentioned in the code where appropriate. * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | // Author: Redmer Alexander Bertens, Utrecht University, Utrecht, Netherlands | |
17 | // (rbertens@cern.ch, rbertens@nikhef.nl, r.a.bertens@uu.nl) | |
53547ff2 | 18 | // |
dc1455ee | 19 | // Tools class for Jet Flow Analysis, replaces 'extractJetFlow.C' macro |
4292ca60 | 20 | // |
21 | // The task uses input from two analysis tasks: | |
22 | // - $ALICE_ROOT/PWGJE/EMCALJetTasks/UserTasks/AliAnalysisTaskRhoVnModulation.cxx | |
23 | // used to retrieve jet spectra and delta pt distributions | |
24 | // - $ALICE_ROOT/PWGJE/EMCALJetTasks/UserTasks/AliAnalysisTaskJetMatching.cxx | |
25 | // used to construct the detector response function | |
26 | // and unfolds jet spectra with respect to the event plane. The user can choose | |
27 | // different alrogithms for unfolding which are available in (ali)root. RooUnfold | |
5e11c41c | 28 | // libraries must be present on the system |
29 | // ( see http://hepunx.rl.ac.uk/~adye/software/unfold/RooUnfold.html ). | |
4292ca60 | 30 | // |
31 | // The weak spot of this class is the function PrepareForUnfolding, which will read | |
32 | // output from two output files and expects histograms with certain names and binning. | |
33 | // Unfolding methods itself are general and should be able to handle any input, therefore one | |
34 | // can forgo the PrepareForUnfolding method, and supply necessary input information via the | |
35 | // SetRawInput() method | |
36 | // | |
37 | // to see an example of how to use this class, see $ALICE_ROOT/PWGCF/FLOW/macros/jetFlowTools.C | |
dc1455ee | 38 | |
39 | // root includes | |
40 | #include "TF1.h" | |
41 | #include "TH1D.h" | |
42 | #include "TH2D.h" | |
53547ff2 | 43 | #include "TGraph.h" |
4292ca60 | 44 | #include "TGraphErrors.h" |
a39e4b2b | 45 | #include "TGraphAsymmErrors.h" |
18698978 | 46 | #include "TLine.h" |
d7ec324f | 47 | #include "TCanvas.h" |
48 | #include "TLegend.h" | |
dc1455ee | 49 | #include "TArrayD.h" |
50 | #include "TList.h" | |
51 | #include "TMinuit.h" | |
52 | #include "TVirtualFitter.h" | |
53 | #include "TLegend.h" | |
54 | #include "TCanvas.h" | |
55 | #include "TStyle.h" | |
dc1455ee | 56 | #include "TLine.h" |
ad04a83c | 57 | #include "TMath.h" |
4292ca60 | 58 | #include "TVirtualFitter.h" |
ef12d5a5 | 59 | #include "TFitResultPtr.h" |
4292ca60 | 60 | // aliroot includes |
dc1455ee | 61 | #include "AliUnfolding.h" |
62 | #include "AliAnaChargedJetResponseMaker.h" | |
4292ca60 | 63 | // class includes |
dc1455ee | 64 | #include "AliJetFlowTools.h" |
51e6bc5a | 65 | // roo unfold includes (make sure you have these available on your system) |
66 | #include "RooUnfold.h" | |
67 | #include "RooUnfoldResponse.h" | |
68 | #include "RooUnfoldSvd.h" | |
549b5f40 | 69 | #include "RooUnfoldBayes.h" |
51e6bc5a | 70 | #include "TSVDUnfold.h" |
dc1455ee | 71 | |
72 | using namespace std; | |
dc1455ee | 73 | //_____________________________________________________________________________ |
74 | AliJetFlowTools::AliJetFlowTools() : | |
4292ca60 | 75 | fResponseMaker (new AliAnaChargedJetResponseMaker()), |
3e698d27 | 76 | fRMS (kTRUE), |
77 | fSymmRMS (kTRUE), | |
ef12d5a5 | 78 | fPower (new TF1("fPower","[0]*TMath::Power(x,-([1]))",0.,300.)), |
9f892925 | 79 | fSaveFull (kTRUE), |
dc1455ee | 80 | fActiveString (""), |
ad04a83c | 81 | fActiveDir (0x0), |
dc1455ee | 82 | fInputList (0x0), |
4292ca60 | 83 | fRefreshInput (kTRUE), |
dc1455ee | 84 | fOutputFileName ("UnfoldedSpectra.root"), |
ad04a83c | 85 | fOutputFile (0x0), |
67d11165 | 86 | fCentralityArray (0x0), |
c03f7598 | 87 | fCentralityWeights (0x0), |
dc1455ee | 88 | fDetectorResponse (0x0), |
53547ff2 | 89 | fJetFindingEff (0x0), |
4292ca60 | 90 | fBetaIn (.1), |
91 | fBetaOut (.1), | |
549b5f40 RAB |
92 | fBayesianIterIn (4), |
93 | fBayesianIterOut (4), | |
94 | fBayesianSmoothIn (0.), | |
95 | fBayesianSmoothOut (0.), | |
ef12d5a5 | 96 | fAvoidRoundingError (kFALSE), |
51e6bc5a | 97 | fUnfoldingAlgorithm (kChi2), |
98 | fPrior (kPriorMeasured), | |
18698978 | 99 | fPriorUser (0x0), |
dc1455ee | 100 | fBinsTrue (0x0), |
101 | fBinsRec (0x0), | |
ef12d5a5 | 102 | fBinsTruePrior (0x0), |
103 | fBinsRecPrior (0x0), | |
4292ca60 | 104 | fSVDRegIn (5), |
105 | fSVDRegOut (5), | |
51e6bc5a | 106 | fSVDToy (kTRUE), |
107 | fJetRadius (0.3), | |
20abfcc4 | 108 | fEventCount (-1), |
549b5f40 RAB |
109 | fNormalizeSpectra (kFALSE), |
110 | fSmoothenPrior (kFALSE), | |
4292ca60 | 111 | fFitMin (60.), |
549b5f40 | 112 | fFitMax (300.), |
4292ca60 | 113 | fFitStart (75.), |
549b5f40 | 114 | fSmoothenCounts (kTRUE), |
ef12d5a5 | 115 | fTestMode (kFALSE), |
4292ca60 | 116 | fRawInputProvided (kFALSE), |
ef12d5a5 | 117 | fEventPlaneRes (.63), |
118 | fUseDetectorResponse(kTRUE), | |
549b5f40 | 119 | fUseDptResponse (kTRUE), |
ef12d5a5 | 120 | fTrainPower (kTRUE), |
486fb24e | 121 | fDphiUnfolding (kTRUE), |
122 | fDphiDptUnfolding (kFALSE), | |
123 | fExLJDpt (kTRUE), | |
18698978 | 124 | fTitleFontSize (-999.), |
4292ca60 | 125 | fRMSSpectrumIn (0x0), |
126 | fRMSSpectrumOut (0x0), | |
127 | fRMSRatio (0x0), | |
ef12d5a5 | 128 | fRMSV2 (0x0), |
ad04a83c | 129 | fDeltaPtDeltaPhi (0x0), |
130 | fJetPtDeltaPhi (0x0), | |
dc1455ee | 131 | fSpectrumIn (0x0), |
132 | fSpectrumOut (0x0), | |
133 | fDptInDist (0x0), | |
134 | fDptOutDist (0x0), | |
135 | fDptIn (0x0), | |
136 | fDptOut (0x0), | |
137 | fFullResponseIn (0x0), | |
549b5f40 | 138 | fFullResponseOut (0x0) { // class constructor |
486fb24e | 139 | // create response maker weight function (tuned to PYTHIA spectrum) |
140 | fResponseMaker->SetRMMergeWeightFunction(new TF1("weightFunction", "x*TMath::Power(1.+(1./(8.*0.9))*x, -8.)", 0, 200)); | |
141 | for(Int_t i(0); i < fPower->GetNpar(); i++) fPower->SetParameter(i, 0.); | |
4292ca60 | 142 | } |
dc1455ee | 143 | //_____________________________________________________________________________ |
144 | void AliJetFlowTools::Make() { | |
ad04a83c | 145 | // core function of the class |
486fb24e | 146 | if(fDphiDptUnfolding) { |
147 | // to extract the yield as function of Dphi, Dpt - experimental | |
148 | MakeAU(); | |
149 | return; | |
150 | } | |
4292ca60 | 151 | // 1) rebin the raw output of the jet task to the desired binnings |
ad04a83c | 152 | // 2) calls the unfolding routine |
153 | // 3) writes output to file | |
4292ca60 | 154 | // can be repeated multiple times with different configurations |
155 | ||
ad04a83c | 156 | // 1) manipulation of input histograms |
dc1455ee | 157 | // check if the input variables are present |
4292ca60 | 158 | if(fRefreshInput) { |
159 | if(!PrepareForUnfolding()) { | |
160 | printf(" AliJetFlowTools::Make() Fatal error \n - couldn't prepare for unfolding ! \n"); | |
161 | return; | |
162 | } | |
dc1455ee | 163 | } |
4292ca60 | 164 | // 1a) resize the jet spectrum according to the binning scheme in fBinsTrue |
165 | // parts of the spectrum can end up in over or underflow bins | |
549b5f40 | 166 | TH1D* measuredJetSpectrumIn = RebinTH1D(fSpectrumIn, fBinsRec, TString("resized_in_"), kFALSE); |
f3ba6c8e | 167 | TH1D* measuredJetSpectrumOut = RebinTH1D(fSpectrumOut, fBinsRec, TString("resized_out_"), kFALSE); |
168 | ||
549b5f40 | 169 | // 1b) resize the jet spectrum to 'true' bins. can serve as a prior and as a template for unfolding |
4292ca60 | 170 | // the template will be used as a prior for the chi2 unfolding |
549b5f40 RAB |
171 | TH1D* measuredJetSpectrumTrueBinsIn = RebinTH1D(fSpectrumIn, fBinsTrue, TString("in"), kFALSE); |
172 | TH1D* measuredJetSpectrumTrueBinsOut = RebinTH1D(fSpectrumOut, fBinsTrue, TString("out"), kFALSE); | |
4292ca60 | 173 | // get the full response matrix from the dpt and the detector response |
dc1455ee | 174 | fDetectorResponse = NormalizeTH2D(fDetectorResponse); |
ef12d5a5 | 175 | // get the full response matrix. if test mode is chosen, the full response is replace by a unity matrix |
176 | // so that unfolding should return the initial spectrum | |
177 | if(!fTestMode) { | |
549b5f40 RAB |
178 | if(fUseDptResponse && fUseDetectorResponse) { |
179 | fFullResponseIn = MatrixMultiplication(fDptIn, fDetectorResponse); | |
180 | fFullResponseOut = MatrixMultiplication(fDptOut, fDetectorResponse); | |
181 | } else if (fUseDptResponse && !fUseDetectorResponse) { | |
182 | fFullResponseIn = fDptIn; | |
183 | fFullResponseOut = fDptOut; | |
184 | } else if (!fUseDptResponse && fUseDetectorResponse) { | |
185 | fFullResponseIn = fDetectorResponse; | |
186 | fFullResponseOut = fDetectorResponse; | |
187 | } else if (!fUseDptResponse && !fUseDetectorResponse && !fUnfoldingAlgorithm == AliJetFlowTools::kNone) { | |
188 | printf(" > No response, exiting ! < \n" ); | |
189 | return; | |
190 | } | |
ef12d5a5 | 191 | } else { |
192 | fFullResponseIn = GetUnityResponse(fBinsTrue, fBinsRec, TString("in")); | |
193 | fFullResponseOut = GetUnityResponse(fBinsTrue, fBinsRec, TString("out")); | |
194 | } | |
4292ca60 | 195 | // normalize each slide of the response to one |
dc1455ee | 196 | NormalizeTH2D(fFullResponseIn); |
197 | NormalizeTH2D(fFullResponseOut); | |
4292ca60 | 198 | // resize to desired binning scheme |
549b5f40 RAB |
199 | TH2D* resizedResponseIn = RebinTH2D(fFullResponseIn, fBinsTrue, fBinsRec, TString("in")); |
200 | TH2D* resizedResponseOut = RebinTH2D(fFullResponseOut, fBinsTrue, fBinsRec, TString("out")); | |
4292ca60 | 201 | // get the kinematic efficiency |
549b5f40 | 202 | TH1D* kinematicEfficiencyIn = resizedResponseIn->ProjectionX(); |
4292ca60 | 203 | kinematicEfficiencyIn->SetNameTitle("kin_eff_IN","kin_eff_IN"); |
549b5f40 | 204 | TH1D* kinematicEfficiencyOut = resizedResponseOut->ProjectionX(); |
4292ca60 | 205 | kinematicEfficiencyOut->SetNameTitle("kin_eff_OUT", "kin_eff_OUT"); |
206 | // suppress the errors | |
51e6bc5a | 207 | for(Int_t i(0); i < kinematicEfficiencyOut->GetXaxis()->GetNbins(); i++) { |
208 | kinematicEfficiencyIn->SetBinError(1+i, 0.); | |
4292ca60 | 209 | kinematicEfficiencyOut->SetBinError(1+i, 0.); |
51e6bc5a | 210 | } |
53547ff2 RAB |
211 | TH1D* jetFindingEfficiency(0x0); |
212 | if(fJetFindingEff) { | |
213 | jetFindingEfficiency = ProtectHeap(fJetFindingEff); | |
214 | jetFindingEfficiency->SetNameTitle(Form("%s_coarse", jetFindingEfficiency->GetName()), Form("%s_coarse", jetFindingEfficiency->GetName())); | |
215 | jetFindingEfficiency = RebinTH1D(jetFindingEfficiency, fBinsTrue); | |
216 | } | |
ad04a83c | 217 | // 2, 3) call the actual unfolding. results and transient objects are stored in a dedicated TDirectoryFile |
549b5f40 RAB |
218 | TH1D* unfoldedJetSpectrumIn(0x0); |
219 | TH1D* unfoldedJetSpectrumOut(0x0); | |
ad04a83c | 220 | fActiveDir->cd(); // select active dir |
221 | TDirectoryFile* dirIn = new TDirectoryFile(Form("InPlane___%s", fActiveString.Data()), Form("InPlane___%s", fActiveString.Data())); | |
222 | dirIn->cd(); // select inplane subdir | |
486fb24e | 223 | // do the inplane unfolding |
224 | unfoldedJetSpectrumIn = UnfoldWrapper( | |
225 | measuredJetSpectrumIn, | |
226 | resizedResponseIn, | |
227 | kinematicEfficiencyIn, | |
228 | measuredJetSpectrumTrueBinsIn, | |
229 | TString("in"), | |
230 | jetFindingEfficiency); | |
549b5f40 | 231 | resizedResponseIn->SetNameTitle("ResponseMatrixIn", "response matrix in plane"); |
f3ba6c8e | 232 | resizedResponseIn->SetXTitle("p_{T, jet}^{true} [GeV/c]"); |
233 | resizedResponseIn->SetYTitle("p_{T, jet}^{rec} [GeV/c]"); | |
549b5f40 RAB |
234 | resizedResponseIn = ProtectHeap(resizedResponseIn); |
235 | resizedResponseIn->Write(); | |
4292ca60 | 236 | kinematicEfficiencyIn->SetNameTitle("KinematicEfficiencyIn","Kinematic efficiency, in plane"); |
237 | kinematicEfficiencyIn = ProtectHeap(kinematicEfficiencyIn); | |
ad04a83c | 238 | kinematicEfficiencyIn->Write(); |
239 | fDetectorResponse->SetNameTitle("DetectorResponse", "Detector response matrix"); | |
4292ca60 | 240 | fDetectorResponse = ProtectHeap(fDetectorResponse, kFALSE); |
ad04a83c | 241 | fDetectorResponse->Write(); |
4292ca60 | 242 | // optional histograms |
243 | if(fSaveFull) { | |
244 | fSpectrumIn->SetNameTitle("[ORIG]JetSpectrum", "[INPUT] Jet spectrum, in plane"); | |
245 | fSpectrumIn->Write(); | |
246 | fDptInDist->SetNameTitle("[ORIG]DeltaPt", "#delta p_{T} distribution, in plane"); | |
247 | fDptInDist->Write(); | |
248 | fDptIn->SetNameTitle("[ORIG]DeltaPtMatrix","#delta p_{T} matrix, in plane"); | |
249 | fDptIn->Write(); | |
250 | fFullResponseIn->SetNameTitle("ResponseMatrix", "Response matrix, in plane"); | |
251 | fFullResponseIn->Write(); | |
252 | } | |
ad04a83c | 253 | fActiveDir->cd(); |
486fb24e | 254 | if(fDphiUnfolding) { |
5e11c41c | 255 | TDirectoryFile* dirOut = new TDirectoryFile(Form("OutOfPlane___%s", fActiveString.Data()), Form("OutOfPlane___%s", fActiveString.Data())); |
256 | dirOut->cd(); | |
486fb24e | 257 | // do the out of plane unfolding |
258 | unfoldedJetSpectrumOut = UnfoldWrapper( | |
5e11c41c | 259 | measuredJetSpectrumOut, |
260 | resizedResponseOut, | |
261 | kinematicEfficiencyOut, | |
262 | measuredJetSpectrumTrueBinsOut, | |
263 | TString("out"), | |
264 | jetFindingEfficiency); | |
5e11c41c | 265 | resizedResponseOut->SetNameTitle("ResponseMatrixOut", "response matrix in plane"); |
f3ba6c8e | 266 | resizedResponseOut->SetXTitle("p_{T, jet}^{true} [GeV/c]"); |
267 | resizedResponseOut->SetYTitle("p_{T, jet}^{rec} [GeV/c]"); | |
5e11c41c | 268 | resizedResponseOut = ProtectHeap(resizedResponseOut); |
269 | resizedResponseOut->Write(); | |
270 | kinematicEfficiencyOut->SetNameTitle("KinematicEfficiencyOut","Kinematic efficiency, Out plane"); | |
271 | kinematicEfficiencyOut = ProtectHeap(kinematicEfficiencyOut); | |
272 | kinematicEfficiencyOut->Write(); | |
273 | fDetectorResponse->SetNameTitle("DetectorResponse", "Detector response matrix"); | |
274 | fDetectorResponse = ProtectHeap(fDetectorResponse, kFALSE); | |
275 | fDetectorResponse->Write(); | |
276 | if(jetFindingEfficiency) jetFindingEfficiency->Write(); | |
277 | // optional histograms | |
278 | if(fSaveFull) { | |
279 | fSpectrumOut->SetNameTitle("[ORIG]JetSpectrum", "[INPUT]Jet spectrum, Out plane"); | |
280 | fSpectrumOut->Write(); | |
281 | fDptOutDist->SetNameTitle("[ORIG]DeltaPt", "#delta p_{T} distribution, Out plane"); | |
282 | fDptOutDist->Write(); | |
283 | fDptOut->SetNameTitle("[ORIG]DeltaPtMatrix","#delta p_{T} matrix, Out plane"); | |
284 | fDptOut->Write(); | |
285 | fFullResponseOut->SetNameTitle("[ORIG]ResponseMatrix", "Response matrix, Out plane"); | |
286 | fFullResponseOut->Write(); | |
ef12d5a5 | 287 | } |
5e11c41c | 288 | |
289 | // write general output histograms to file | |
290 | fActiveDir->cd(); | |
291 | if(unfoldedJetSpectrumIn && unfoldedJetSpectrumOut && unfoldedJetSpectrumIn && unfoldedJetSpectrumOut) { | |
292 | TGraphErrors* ratio(GetRatio((TH1D*)unfoldedJetSpectrumIn->Clone("unfoldedLocal_in"), (TH1D*)unfoldedJetSpectrumOut->Clone("unfoldedLocal_out"))); | |
293 | if(ratio) { | |
294 | ratio->SetNameTitle("RatioInOutPlane", "Ratio in plane, out of plane jet spectrum"); | |
f3ba6c8e | 295 | ratio->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
5e11c41c | 296 | ratio->GetYaxis()->SetTitle("yield IN / yield OUT"); |
297 | ratio = ProtectHeap(ratio); | |
298 | ratio->Write(); | |
299 | // write histo values to RMS files if both routines converged | |
300 | // input values are weighted by their uncertainty | |
301 | for(Int_t i(0); i < ratio->GetXaxis()->GetNbins(); i++) { | |
302 | if(unfoldedJetSpectrumIn->GetBinError(i+1) > 0) fRMSSpectrumIn->Fill(fRMSSpectrumIn->GetBinCenter(i+1), unfoldedJetSpectrumIn->GetBinContent(i+1), 1./TMath::Power(unfoldedJetSpectrumIn->GetBinError(i+1), 2.)); | |
303 | if(unfoldedJetSpectrumOut->GetBinError(i+1) > 0) fRMSSpectrumOut->Fill(fRMSSpectrumOut->GetBinCenter(i+1), unfoldedJetSpectrumOut->GetBinContent(i+1), 1./TMath::Power(unfoldedJetSpectrumOut->GetBinError(i+1), 2.)); | |
304 | if(unfoldedJetSpectrumOut->GetBinContent(i+1) > 0) fRMSRatio->Fill(fRMSSpectrumIn->GetBinCenter(i+1), unfoldedJetSpectrumIn->GetBinContent(i+1) / unfoldedJetSpectrumOut->GetBinContent(i+1)); | |
305 | } | |
306 | } | |
35c03ef1 | 307 | TGraphErrors* v2(GetV2((TH1D*)unfoldedJetSpectrumIn->Clone("unfoldedLocal_inv2"), (TH1D*)unfoldedJetSpectrumOut->Clone("unfoldedLocal_outv2"), fEventPlaneRes)); |
5e11c41c | 308 | if(v2) { |
309 | v2->SetNameTitle("v2", "v_{2} from different in, out of plane yield"); | |
f3ba6c8e | 310 | v2->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
5e11c41c | 311 | v2->GetYaxis()->SetTitle("v_{2}"); |
312 | v2 = ProtectHeap(v2); | |
313 | v2->Write(); | |
314 | } | |
315 | } else if (unfoldedJetSpectrumOut && unfoldedJetSpectrumIn) { | |
316 | TGraphErrors* ratio(GetRatio((TH1D*)unfoldedJetSpectrumIn->Clone("unfoldedLocal_in"), (TH1D*)unfoldedJetSpectrumOut->Clone("unfoldedLocal_out"), TString(""), kTRUE, fBinsRec->At(fBinsRec->GetSize()-1))); | |
317 | if(ratio) { | |
318 | ratio->SetNameTitle("[NC]RatioInOutPlane", "[NC]Ratio in plane, out of plane jet spectrum"); | |
f3ba6c8e | 319 | ratio->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
5e11c41c | 320 | ratio->GetYaxis()->SetTitle("yield IN / yield OUT"); |
321 | ratio = ProtectHeap(ratio); | |
322 | ratio->Write(); | |
323 | } | |
35c03ef1 | 324 | TGraphErrors* v2(GetV2((TH1D*)unfoldedJetSpectrumIn->Clone("unfoldedLocal_inv2"), (TH1D*)unfoldedJetSpectrumOut->Clone("unfoldedLocal_outv2"), fEventPlaneRes)); |
5e11c41c | 325 | if(v2) { |
326 | v2->SetNameTitle("v2", "v_{2} from different in, out of plane yield"); | |
f3ba6c8e | 327 | v2->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
5e11c41c | 328 | v2->GetYaxis()->SetTitle("v_{2}"); |
329 | v2 = ProtectHeap(v2); | |
330 | v2->Write(); | |
331 | } | |
4292ca60 | 332 | } |
486fb24e | 333 | } // end of if(fDphiUnfolding) |
ad04a83c | 334 | fDeltaPtDeltaPhi->Write(); |
9f892925 | 335 | unfoldedJetSpectrumIn->Sumw2(); |
336 | ProtectHeap(unfoldedJetSpectrumIn, kFALSE); | |
337 | unfoldedJetSpectrumIn->Write(); | |
338 | unfoldedJetSpectrumOut->Sumw2(); | |
339 | ProtectHeap(unfoldedJetSpectrumOut, kFALSE); | |
340 | unfoldedJetSpectrumOut->Write(); | |
ad04a83c | 341 | fJetPtDeltaPhi->Write(); |
549b5f40 RAB |
342 | // save the current state of the unfolding object |
343 | SaveConfiguration(unfoldedJetSpectrumIn ? kTRUE : kFALSE, unfoldedJetSpectrumOut ? kTRUE : kFALSE); | |
f3ba6c8e | 344 | TH1D* unfoldedJetSpectrumInForSub((TH1D*)unfoldedJetSpectrumIn->Clone("forSubIn")); |
345 | TH1D* unfoldedJetSpectrumOutForSub((TH1D*)unfoldedJetSpectrumOut->Clone("forSubOut")); | |
346 | unfoldedJetSpectrumInForSub->Add(unfoldedJetSpectrumOutForSub, -1.); | |
347 | unfoldedJetSpectrumInForSub= ProtectHeap(unfoldedJetSpectrumInForSub); | |
348 | unfoldedJetSpectrumInForSub->Write(); | |
349 | ||
dc1455ee | 350 | } |
351 | //_____________________________________________________________________________ | |
486fb24e | 352 | TH1D* AliJetFlowTools::UnfoldWrapper( |
353 | const TH1D* measuredJetSpectrum, // truncated raw jets (same binning as pt rec of response) | |
354 | const TH2D* resizedResponse, // response matrix | |
355 | const TH1D* kinematicEfficiency, // kinematic efficiency | |
356 | const TH1D* measuredJetSpectrumTrueBins, // unfolding template: same binning is pt gen of response | |
357 | const TString suffix, // suffix (in or out of plane) | |
358 | const TH1D* jetFindingEfficiency) // jet finding efficiency | |
359 | { | |
360 | // wrapper function to call specific unfolding routine | |
361 | TH1D* (AliJetFlowTools::*myFunction)(const TH1D*, const TH2D*, const TH1D*, const TH1D*, const TString, const TH1D*); | |
362 | // initialize functon pointer | |
87233f72 | 363 | if(fUnfoldingAlgorithm == kChi2) myFunction = &AliJetFlowTools::UnfoldSpectrumChi2; |
364 | else if(fUnfoldingAlgorithm == kBayesian) myFunction = &AliJetFlowTools::UnfoldSpectrumBayesian; | |
365 | else if(fUnfoldingAlgorithm == kBayesianAli) myFunction = &AliJetFlowTools::UnfoldSpectrumBayesianAli; | |
366 | else if(fUnfoldingAlgorithm == kSVD) myFunction = &AliJetFlowTools::UnfoldSpectrumSVD; | |
367 | else if(fUnfoldingAlgorithm == kNone) { | |
368 | TH1D* clone((TH1D*)measuredJetSpectrum->Clone("clone")); | |
369 | clone->SetNameTitle(Form("MeasuredJetSpectrum%s", suffix.Data()), Form("measuredJetSpectrum %s", suffix.Data())); | |
c03f7598 | 370 | return clone;//RebinTH1D(clone, fBinsTrue, clone->GetName(), kFALSE); |
486fb24e | 371 | } |
87233f72 | 372 | else return 0x0; |
486fb24e | 373 | // do the actual unfolding with the selected function |
374 | return (this->*myFunction)( measuredJetSpectrum, resizedResponse, kinematicEfficiency, measuredJetSpectrumTrueBins, suffix, jetFindingEfficiency); | |
375 | } | |
376 | //_____________________________________________________________________________ | |
549b5f40 RAB |
377 | TH1D* AliJetFlowTools::UnfoldSpectrumChi2( |
378 | const TH1D* measuredJetSpectrum, // truncated raw jets (same binning as pt rec of response) | |
486fb24e | 379 | const TH2D* resizedResponse, // response matrix |
549b5f40 RAB |
380 | const TH1D* kinematicEfficiency, // kinematic efficiency |
381 | const TH1D* measuredJetSpectrumTrueBins, // unfolding template: same binning is pt gen of response | |
382 | const TString suffix, // suffix (in or out of plane) | |
383 | const TH1D* jetFindingEfficiency) // jet finding efficiency (optional) | |
dc1455ee | 384 | { |
51e6bc5a | 385 | // unfold the spectrum using chi2 minimization |
386 | ||
4292ca60 | 387 | // step 0) setup the static members of AliUnfolding |
388 | ResetAliUnfolding(); // reset from previous iteration | |
389 | // also deletes and re-creates the global TVirtualFitter | |
390 | AliUnfolding::SetUnfoldingMethod(AliUnfolding::kChi2Minimization); | |
391 | if(!strcmp("in", suffix.Data())) AliUnfolding::SetChi2Regularization(AliUnfolding::kLogLog, fBetaIn); | |
392 | else if(!strcmp("out", suffix.Data())) AliUnfolding::SetChi2Regularization(AliUnfolding::kLogLog, fBetaOut); | |
393 | if(!strcmp("prior_in", suffix.Data())) AliUnfolding::SetChi2Regularization(AliUnfolding::kLogLog, fBetaIn); | |
394 | else if(!strcmp("prior_out", suffix.Data())) AliUnfolding::SetChi2Regularization(AliUnfolding::kLogLog, fBetaOut); | |
395 | AliUnfolding::SetNbins(fBinsRec->GetSize()-1, fBinsTrue->GetSize()-1); | |
dc1455ee | 396 | |
549b5f40 RAB |
397 | // step 1) clone all input histograms. the histograms are cloned to make sure that the original histograms |
398 | // stay intact. a local copy of a histogram (which only exists in the scope of this function) is | |
399 | // denoted by the suffix 'Local' | |
4292ca60 | 400 | |
549b5f40 RAB |
401 | // measuredJetSpectrumLocal holds the spectrum that needs to be unfolded |
402 | TH1D *measuredJetSpectrumLocal = (TH1D*)measuredJetSpectrum->Clone(Form("measuredJetSpectrumLocal_%s", suffix.Data())); | |
4292ca60 | 403 | // unfolded local will be filled with the result of the unfolding |
404 | TH1D *unfoldedLocal(new TH1D(Form("unfoldedLocal_%s", suffix.Data()), Form("unfoldedLocal_%s", suffix.Data()), fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
405 | ||
dc1455ee | 406 | // full response matrix and kinematic efficiency |
549b5f40 | 407 | TH2D* resizedResponseLocal = (TH2D*)resizedResponse->Clone(Form("resizedResponseLocal_%s", suffix.Data())); |
51e6bc5a | 408 | TH1D* kinematicEfficiencyLocal = (TH1D*)kinematicEfficiency->Clone(Form("kinematicEfficiencyLocal_%s", suffix.Data())); |
d7ec324f | 409 | |
4292ca60 | 410 | // the initial guess for the unfolded pt spectrum, equal to the folded spectrum, but in 'true' bins |
549b5f40 RAB |
411 | TH1D *priorLocal = (TH1D*)measuredJetSpectrumTrueBins->Clone(Form("priorLocal_%s", suffix.Data())); |
412 | // optionally, the prior can be smoothened by extrapolating the spectrum using a power law fit | |
413 | if(fSmoothenPrior) priorLocal = SmoothenPrior(priorLocal, fPower, fFitMin, fFitMax, fFitStart, kTRUE, fSmoothenCounts); | |
ef12d5a5 | 414 | |
4292ca60 | 415 | // step 2) start the unfolding |
51e6bc5a | 416 | Int_t status(-1), i(0); |
417 | while(status < 0 && i < 100) { | |
4292ca60 | 418 | // i > 0 means that the first iteration didn't converge. in that case, the result of the first |
419 | // iteration (stored in unfoldedLocal) is cloned and used as a starting point for the | |
420 | if (i > 0) priorLocal = (TH1D*)unfoldedLocal->Clone(Form("priorLocal_%s_%i", suffix.Data(), i)); | |
421 | status = AliUnfolding::Unfold( | |
422 | resizedResponseLocal, // response matrix | |
423 | kinematicEfficiencyLocal, // efficiency applied on the unfolded spectrum (can be NULL) | |
549b5f40 | 424 | measuredJetSpectrumLocal, // measured spectrum |
4292ca60 | 425 | priorLocal, // initial conditions (set NULL to use measured spectrum) |
426 | unfoldedLocal); // results | |
427 | // status holds the minuit fit status (where 0 means convergence) | |
51e6bc5a | 428 | i++; |
429 | } | |
4292ca60 | 430 | // get the status of TMinuit::mnhess(), fISW[1] == 3 means the hessian matrix was calculated succesfully |
431 | if(status == 0 && gMinuit->fISW[1] == 3) { | |
432 | // if the unfolding converged and the hessian matrix is reliable, plot the pearson coefficients | |
ad04a83c | 433 | TVirtualFitter *fitter(TVirtualFitter::GetFitter()); |
4292ca60 | 434 | if(gMinuit) gMinuit->Command("SET COV"); |
435 | TMatrixD covarianceMatrix(fBinsTrue->GetSize()-1, fBinsTrue->GetSize()-1, fitter->GetCovarianceMatrix()); | |
436 | TMatrixD *pearson((TMatrixD*)CalculatePearsonCoefficients(&covarianceMatrix)); | |
437 | pearson->Print(); | |
ad04a83c | 438 | TH2D *hPearson(new TH2D(*pearson)); |
4292ca60 | 439 | hPearson->SetNameTitle(Form("PearsonCoefficients_%s", suffix.Data()), Form("Pearson coefficients, %s plane", suffix.Data())); |
440 | hPearson = ProtectHeap(hPearson); | |
ad04a83c | 441 | hPearson->Write(); |
4292ca60 | 442 | } else status = -1; |
d7ec324f | 443 | |
4292ca60 | 444 | // step 3) refold the unfolded spectrum and save the ratio measured / refolded |
445 | TH1D *foldedLocal(fResponseMaker->MultiplyResponseGenerated(unfoldedLocal, resizedResponseLocal,kinematicEfficiencyLocal)); | |
446 | foldedLocal->SetNameTitle(Form("RefoldedSpectrum_%s", suffix.Data()), Form("Refolded jet spectrum, %s plane", suffix.Data())); | |
447 | unfoldedLocal->SetNameTitle(Form("UnfoldedSpectrum_%s", suffix.Data()), Form("Unfolded jet spectrum, %s plane", suffix.Data())); | |
549b5f40 | 448 | TGraphErrors* ratio(GetRatio(foldedLocal, measuredJetSpectrumLocal, TString(""), kTRUE, fBinsTrue->At(fBinsTrue->GetSize()-1))); |
4292ca60 | 449 | if(ratio) { |
53547ff2 RAB |
450 | ratio->SetNameTitle("RatioRefoldedMeasured", Form("Ratio measured, re-folded %s ", suffix.Data())); |
451 | ratio->GetYaxis()->SetTitle("ratio measured / re-folded"); | |
4292ca60 | 452 | ratio = ProtectHeap(ratio); |
453 | ratio->Write(); | |
454 | } | |
d7ec324f | 455 | |
456 | // step 4) write histograms to file. to ensure that these have unique identifiers on the heap, | |
457 | // objects are cloned using 'ProtectHeap()' | |
549b5f40 RAB |
458 | measuredJetSpectrumLocal->SetNameTitle(Form("InputSpectrum_%s", suffix.Data()), Form("InputSpectrum_%s", suffix.Data())); |
459 | measuredJetSpectrumLocal = ProtectHeap(measuredJetSpectrumLocal); | |
460 | measuredJetSpectrumLocal->Write(); | |
d7ec324f | 461 | |
4292ca60 | 462 | resizedResponseLocal = ProtectHeap(resizedResponseLocal); |
463 | resizedResponseLocal->Write(); | |
d7ec324f | 464 | |
4292ca60 | 465 | unfoldedLocal = ProtectHeap(unfoldedLocal); |
53547ff2 | 466 | if(jetFindingEfficiency) unfoldedLocal->Divide(jetFindingEfficiency); |
51e6bc5a | 467 | unfoldedLocal->Write(); |
d7ec324f | 468 | |
4292ca60 | 469 | foldedLocal = ProtectHeap(foldedLocal); |
470 | foldedLocal->Write(); | |
d7ec324f | 471 | |
ef12d5a5 | 472 | priorLocal = ProtectHeap(priorLocal); |
473 | priorLocal->Write(); | |
d7ec324f | 474 | |
475 | // step 5) save the fit status (penalty value, degrees of freedom, chi^2 value) | |
53547ff2 | 476 | TH1F* fitStatus(new TH1F(Form("fitStatus_%s_%s", fActiveString.Data(), suffix.Data()), Form("fitStatus_%s_%s", fActiveString.Data(), suffix.Data()), 4, -0.5, 3.5)); |
d7ec324f | 477 | fitStatus->SetBinContent(1, AliUnfolding::fChi2FromFit); |
478 | fitStatus->GetXaxis()->SetBinLabel(1, "fChi2FromFit"); | |
479 | fitStatus->SetBinContent(2, AliUnfolding::fPenaltyVal); | |
480 | fitStatus->GetXaxis()->SetBinLabel(2, "fPenaltyVal"); | |
481 | fitStatus->SetBinContent(3, fBinsRec->GetSize()-fBinsTrue->GetSize()); | |
482 | fitStatus->GetXaxis()->SetBinLabel(3, "DOF"); | |
53547ff2 RAB |
483 | fitStatus->SetBinContent(4, (!strcmp(suffix.Data(), "in")) ? fBetaIn : fBetaOut); |
484 | fitStatus->GetXaxis()->SetBinLabel(4, (!strcmp(suffix.Data(), "in")) ? "fBetaIn" : "fBetaOut"); | |
d7ec324f | 485 | fitStatus->Write(); |
549b5f40 | 486 | return unfoldedLocal; |
dc1455ee | 487 | } |
488 | //_____________________________________________________________________________ | |
549b5f40 RAB |
489 | TH1D* AliJetFlowTools::UnfoldSpectrumSVD( |
490 | const TH1D* measuredJetSpectrum, // jet pt in pt rec bins | |
491 | const TH2D* resizedResponse, // full response matrix, normalized in slides of pt true | |
492 | const TH1D* kinematicEfficiency, // kinematic efficiency | |
493 | const TH1D* measuredJetSpectrumTrueBins, // jet pt in pt true bins, also the prior when measured is chosen as prior | |
494 | const TString suffix, // suffix (in, out) | |
495 | const TH1D* jetFindingEfficiency) // jet finding efficiency (optional) | |
51e6bc5a | 496 | { |
549b5f40 RAB |
497 | |
498 | TH1D* priorLocal( GetPrior( | |
499 | measuredJetSpectrum, // jet pt in pt rec bins | |
500 | resizedResponse, // full response matrix, normalized in slides of pt true | |
501 | kinematicEfficiency, // kinematic efficiency | |
502 | measuredJetSpectrumTrueBins, // jet pt in pt true bins, also the prior when measured is chosen as prior | |
503 | suffix, // suffix (in, out) | |
504 | jetFindingEfficiency)); // jet finding efficiency (optional) | |
505 | if(!priorLocal) { | |
506 | printf(" > couldn't find prior ! < \n"); | |
507 | return 0x0; | |
508 | } else printf(" 1) retrieved prior \n"); | |
509 | ||
510 | // go back to the 'root' directory of this instance of the SVD unfolding routine | |
20abfcc4 | 511 | (!strcmp(suffix.Data(), "in")) ? fActiveDir->cd(Form("InPlane___%s", fActiveString.Data())) : fActiveDir->cd(Form("OutOfPlane___%s", fActiveString.Data())); |
512 | ||
4292ca60 | 513 | // 2) setup all the necessary input for the unfolding routine. all input histograms are copied locally |
549b5f40 RAB |
514 | // measured jets in pt rec binning |
515 | TH1D *measuredJetSpectrumLocal((TH1D*)measuredJetSpectrum->Clone(Form("jets_%s", suffix.Data()))); | |
516 | // local copie of the response matrix | |
517 | TH2D *resizedResponseLocal((TH2D*)resizedResponse->Clone(Form("resizedResponseLocal_%s", suffix.Data()))); | |
518 | // local copy of response matrix, all true slides normalized to 1 | |
519 | // this response matrix will eventually be used in the re-folding routine | |
520 | TH2D *resizedResponseLocalNorm((TH2D*)resizedResponse->Clone(Form("resizedResponseLocalNorm_%s", suffix.Data()))); | |
521 | resizedResponseLocalNorm = NormalizeTH2D(resizedResponseLocalNorm); | |
ef12d5a5 | 522 | // kinematic efficiency |
51e6bc5a | 523 | TH1D *kinematicEfficiencyLocal((TH1D*)kinematicEfficiency->Clone(Form("kinematicEfficiency_%s", suffix.Data()))); |
ef12d5a5 | 524 | // place holder histos |
d7ec324f | 525 | TH1D *unfoldedLocalSVD(0x0); |
526 | TH1D *foldedLocalSVD(0x0); | |
4292ca60 | 527 | cout << " 2) setup necessary input " << endl; |
51e6bc5a | 528 | // 3) configure routine |
529 | RooUnfold::ErrorTreatment errorTreatment = (fSVDToy) ? RooUnfold::kCovToy : RooUnfold::kCovariance; | |
d7ec324f | 530 | cout << " step 3) configured routine " << endl; |
531 | ||
4292ca60 | 532 | // 4) get transpose matrices |
549b5f40 RAB |
533 | // a) get the transpose of the full response matrix |
534 | TH2* responseMatrixLocalTransposePrior(fResponseMaker->GetTransposeResponsMatrix(resizedResponseLocal)); | |
4292ca60 | 535 | responseMatrixLocalTransposePrior->SetNameTitle(Form("prior_%s_%s", responseMatrixLocalTransposePrior->GetName(), suffix.Data()),Form("prior_%s_%s", responseMatrixLocalTransposePrior->GetName(), suffix.Data())); |
549b5f40 RAB |
536 | // normalize it with the prior. this will ensure that high statistics bins will constrain the |
537 | // end result most strenuously than bins with limited number of counts | |
538 | responseMatrixLocalTransposePrior = fResponseMaker->NormalizeResponsMatrixYaxisWithPrior(responseMatrixLocalTransposePrior, priorLocal); | |
539 | cout << " 4) retrieved first transpose matrix " << endl; | |
4292ca60 | 540 | |
541 | // 5) get response for SVD unfolding | |
542 | RooUnfoldResponse responseSVD(0, 0, responseMatrixLocalTransposePrior, Form("respCombinedSVD_%s", suffix.Data()), Form("respCombinedSVD_%s", suffix.Data())); | |
4292ca60 | 543 | cout << " 5) retrieved roo unfold response object " << endl; |
549b5f40 | 544 | |
4292ca60 | 545 | // 6) actualy unfolding loop |
549b5f40 | 546 | RooUnfoldSvd unfoldSVD(&responseSVD, measuredJetSpectrumLocal, (!strcmp(suffix.Data(), "in")) ? fSVDRegIn : fSVDRegOut); |
20abfcc4 | 547 | unfoldedLocalSVD = (TH1D*)unfoldSVD.Hreco(errorTreatment); |
549b5f40 RAB |
548 | // correct the spectrum for the kinematic efficiency |
549 | unfoldedLocalSVD->Divide(kinematicEfficiencyLocal); | |
550 | ||
551 | // get the pearson coefficients from the covariance matrix | |
20abfcc4 | 552 | TMatrixD covarianceMatrix = unfoldSVD.Ereco(errorTreatment); |
553 | TMatrixD *pearson = (TMatrixD*)CalculatePearsonCoefficients(&covarianceMatrix); | |
4292ca60 | 554 | if(pearson) { |
549b5f40 | 555 | TH2D* hPearson(new TH2D(*pearson)); |
4292ca60 | 556 | pearson->Print(); |
d7ec324f | 557 | hPearson->SetNameTitle(Form("PearsonCoefficients_%s", suffix.Data()), Form("Pearson coefficients_%s", suffix.Data())); |
558 | hPearson = ProtectHeap(hPearson); | |
4292ca60 | 559 | hPearson->Write(); |
549b5f40 | 560 | } else return 0x0; // return if unfolding didn't converge |
4292ca60 | 561 | |
562 | // plot singular values and d_i vector | |
20abfcc4 | 563 | TSVDUnfold* svdUnfold(unfoldSVD.Impl()); |
51e6bc5a | 564 | TH1* hSVal(svdUnfold->GetSV()); |
565 | TH1D* hdi(svdUnfold->GetD()); | |
4292ca60 | 566 | hSVal->SetNameTitle("SingularValuesOfAC", "Singular values of AC^{-1}"); |
51e6bc5a | 567 | hSVal->SetXTitle("singular values"); |
568 | hSVal->Write(); | |
4292ca60 | 569 | hdi->SetNameTitle("dVector", "d vector after orthogonal transformation"); |
51e6bc5a | 570 | hdi->SetXTitle("|d_{i}^{kreg}|"); |
571 | hdi->Write(); | |
4292ca60 | 572 | cout << " plotted singular values and d_i vector " << endl; |
573 | ||
574 | // 7) refold the unfolded spectrum | |
549b5f40 RAB |
575 | foldedLocalSVD = fResponseMaker->MultiplyResponseGenerated(unfoldedLocalSVD, resizedResponseLocalNorm, kinematicEfficiencyLocal); |
576 | TGraphErrors* ratio(GetRatio(measuredJetSpectrumLocal, foldedLocalSVD, "ratio measured / re-folded", kTRUE)); | |
53547ff2 | 577 | ratio->SetNameTitle(Form("RatioRefoldedMeasured_%s", fActiveString.Data()), Form("Ratio measured / re-folded %s", fActiveString.Data())); |
4292ca60 | 578 | ratio->GetXaxis()->SetTitle("p_{t}^{rec, rec} [GeV/ c]"); |
579 | ratio->GetYaxis()->SetTitle("ratio measured / re-folded"); | |
580 | ratio->Write(); | |
581 | cout << " 7) refolded the unfolded spectrum " << endl; | |
582 | ||
549b5f40 RAB |
583 | // write the measured, unfolded and re-folded spectra to the output directory |
584 | measuredJetSpectrumLocal->SetNameTitle(Form("InputSpectrum_%s", suffix.Data()), Form("input spectrum (measured) %s", suffix.Data())); | |
585 | measuredJetSpectrumLocal = ProtectHeap(measuredJetSpectrumLocal); | |
586 | measuredJetSpectrumLocal->SetXTitle("p_{t}^{rec} [GeV/c]"); | |
587 | measuredJetSpectrumLocal->Write(); // input spectrum | |
d7ec324f | 588 | unfoldedLocalSVD->SetNameTitle(Form("UnfoldedSpectrum_%s",suffix.Data()), Form("unfolded spectrum %s", suffix.Data())); |
589 | unfoldedLocalSVD = ProtectHeap(unfoldedLocalSVD); | |
53547ff2 | 590 | if(jetFindingEfficiency) unfoldedLocalSVD->Divide(jetFindingEfficiency); |
4292ca60 | 591 | unfoldedLocalSVD->Write(); // unfolded spectrum |
d7ec324f | 592 | foldedLocalSVD->SetNameTitle(Form("RefoldedSpectrum_%s", suffix.Data()), Form("refoldedSpectrum_%s", suffix.Data())); |
593 | foldedLocalSVD = ProtectHeap(foldedLocalSVD); | |
4292ca60 | 594 | foldedLocalSVD->Write(); // re-folded spectrum |
d7ec324f | 595 | |
549b5f40 RAB |
596 | // save more general bookkeeeping histograms to the output directory |
597 | responseMatrixLocalTransposePrior->SetNameTitle("TransposeResponseMatrix", "Transpose of response matrix, normalize with prior"); | |
f3ba6c8e | 598 | responseMatrixLocalTransposePrior->SetXTitle("p_{T, jet}^{true} [GeV/c]"); |
599 | responseMatrixLocalTransposePrior->SetYTitle("p_{T, jet}^{rec} [GeV/c]"); | |
4292ca60 | 600 | responseMatrixLocalTransposePrior->Write(); |
549b5f40 RAB |
601 | priorLocal->SetNameTitle("PriorOriginal", "Prior, original"); |
602 | priorLocal->SetXTitle("p_{t} [GeV/c]"); | |
603 | priorLocal = ProtectHeap(priorLocal); | |
604 | priorLocal->Write(); | |
605 | resizedResponseLocalNorm = ProtectHeap(resizedResponseLocalNorm); | |
606 | resizedResponseLocalNorm->Write(); | |
53547ff2 RAB |
607 | |
608 | // save some info | |
609 | TH1F* fitStatus(new TH1F(Form("fitStatus_%s_%s", fActiveString.Data(), suffix.Data()), Form("fitStatus_%s_%s", fActiveString.Data(), suffix.Data()), 1, -0.5, 0.5)); | |
610 | fitStatus->SetBinContent(1, (!strcmp(suffix.Data(), "in")) ? fSVDRegIn : fSVDRegOut); | |
611 | fitStatus->GetXaxis()->SetBinLabel(1, (!strcmp(suffix.Data(), "in")) ? "fSVDRegIn" : "fSVDRegOut"); | |
612 | fitStatus->Write(); | |
613 | ||
549b5f40 | 614 | return unfoldedLocalSVD; |
51e6bc5a | 615 | } |
616 | //_____________________________________________________________________________ | |
549b5f40 RAB |
617 | TH1D* AliJetFlowTools::UnfoldSpectrumBayesianAli( |
618 | const TH1D* measuredJetSpectrum, // jet pt in pt rec bins | |
619 | const TH2D* resizedResponse, // full response matrix, normalized in slides of pt true | |
620 | const TH1D* kinematicEfficiency, // kinematic efficiency | |
621 | const TH1D* measuredJetSpectrumTrueBins, // jet pt in pt true bins, also the prior when measured is chosen as prior | |
622 | const TString suffix, // suffix (in, out) | |
623 | const TH1D* jetFindingEfficiency) // jet finding efficiency (optional) | |
d7ec324f | 624 | { |
549b5f40 RAB |
625 | // unfold the spectrum using the bayesian unfolding impelmented in AliUnfolding |
626 | // FIXME careful, not tested yet ! (06122013) FIXME | |
627 | ||
628 | // step 0) setup the static members of AliUnfolding | |
629 | ResetAliUnfolding(); // reset from previous iteration | |
630 | // also deletes and re-creates the global TVirtualFitter | |
631 | AliUnfolding::SetUnfoldingMethod(AliUnfolding::kBayesian); | |
632 | if(!strcmp("in", suffix.Data())) AliUnfolding::SetBayesianParameters(fBayesianSmoothIn, fBayesianIterIn); | |
633 | else if(!strcmp("out", suffix.Data())) AliUnfolding::SetBayesianParameters(fBayesianSmoothOut, fBayesianIterOut); | |
634 | else if(!strcmp("prior_in", suffix.Data())) AliUnfolding::SetBayesianParameters(fBayesianSmoothIn, fBayesianIterIn); | |
635 | else if(!strcmp("prior_out", suffix.Data())) AliUnfolding::SetBayesianParameters(fBayesianSmoothOut, fBayesianIterOut); | |
4e4f12b6 RAB |
636 | AliUnfolding::SetNbins(fBinsRec->GetSize()-1, fBinsTrue->GetSize()-1); |
637 | ||
549b5f40 RAB |
638 | // 1) get a prior for unfolding and clone all the input histograms |
639 | TH1D* priorLocal( GetPrior( | |
640 | measuredJetSpectrum, // jet pt in pt rec bins | |
641 | resizedResponse, // full response matrix, normalized in slides of pt true | |
642 | kinematicEfficiency, // kinematic efficiency | |
643 | measuredJetSpectrumTrueBins, // jet pt in pt true bins, also the prior when measured is chosen as prior | |
644 | suffix, // suffix (in, out) | |
645 | jetFindingEfficiency)); // jet finding efficiency (optional) | |
646 | if(!priorLocal) { | |
647 | printf(" > couldn't find prior ! < \n"); | |
648 | return 0x0; | |
649 | } else printf(" 1) retrieved prior \n"); | |
650 | // switch back to root dir of this unfolding procedure | |
651 | (!strcmp(suffix.Data(), "in")) ? fActiveDir->cd(Form("InPlane___%s", fActiveString.Data())) : fActiveDir->cd(Form("OutOfPlane___%s", fActiveString.Data())); | |
652 | ||
653 | // measuredJetSpectrumLocal holds the spectrum that needs to be unfolded | |
654 | TH1D *measuredJetSpectrumLocal = (TH1D*)measuredJetSpectrum->Clone(Form("measuredJetSpectrumLocal_%s", suffix.Data())); | |
655 | // unfolded local will be filled with the result of the unfolding | |
656 | TH1D *unfoldedLocal(new TH1D(Form("unfoldedLocal_%s", suffix.Data()), Form("unfoldedLocal_%s", suffix.Data()), fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
657 | ||
658 | // full response matrix and kinematic efficiency | |
659 | TH2D* resizedResponseLocal = (TH2D*)resizedResponse->Clone(Form("resizedResponseLocal_%s", suffix.Data())); | |
660 | TH1D* kinematicEfficiencyLocal = (TH1D*)kinematicEfficiency->Clone(Form("kinematicEfficiencyLocal_%s", suffix.Data())); | |
661 | ||
662 | // step 2) start the unfolding | |
663 | Int_t status(-1), i(0); | |
664 | while(status < 0 && i < 100) { | |
665 | // i > 0 means that the first iteration didn't converge. in that case, the result of the first | |
666 | // iteration (stored in unfoldedLocal) is cloned and used as a starting point for the | |
667 | if (i > 0) priorLocal = (TH1D*)unfoldedLocal->Clone(Form("priorLocal_%s_%i", suffix.Data(), i)); | |
668 | status = AliUnfolding::Unfold( | |
669 | resizedResponseLocal, // response matrix | |
670 | kinematicEfficiencyLocal, // efficiency applied on the unfolded spectrum (can be NULL) | |
671 | measuredJetSpectrumLocal, // measured spectrum | |
672 | priorLocal, // initial conditions (set NULL to use measured spectrum) | |
673 | unfoldedLocal); // results | |
674 | // status holds the minuit fit status (where 0 means convergence) | |
675 | i++; | |
676 | } | |
677 | // get the status of TMinuit::mnhess(), fISW[1] == 3 means the hessian matrix was calculated succesfully | |
678 | if(status == 0 && gMinuit->fISW[1] == 3) { | |
679 | // if the unfolding converged and the hessian matrix is reliable, plot the pearson coefficients | |
680 | TVirtualFitter *fitter(TVirtualFitter::GetFitter()); | |
681 | if(gMinuit) gMinuit->Command("SET COV"); | |
682 | TMatrixD covarianceMatrix(fBinsTrue->GetSize()-1, fBinsTrue->GetSize()-1, fitter->GetCovarianceMatrix()); | |
683 | TMatrixD *pearson((TMatrixD*)CalculatePearsonCoefficients(&covarianceMatrix)); | |
684 | pearson->Print(); | |
685 | TH2D *hPearson(new TH2D(*pearson)); | |
686 | hPearson->SetNameTitle(Form("PearsonCoefficients_%s", suffix.Data()), Form("Pearson coefficients, %s plane", suffix.Data())); | |
687 | hPearson = ProtectHeap(hPearson); | |
688 | hPearson->Write(); | |
689 | } else status = -1; | |
690 | ||
691 | // step 3) refold the unfolded spectrum and save the ratio measured / refolded | |
692 | TH1D *foldedLocal(fResponseMaker->MultiplyResponseGenerated(unfoldedLocal, resizedResponseLocal,kinematicEfficiencyLocal)); | |
693 | foldedLocal->SetNameTitle(Form("RefoldedSpectrum_%s", suffix.Data()), Form("Refolded jet spectrum, %s plane", suffix.Data())); | |
694 | unfoldedLocal->SetNameTitle(Form("UnfoldedSpectrum_%s", suffix.Data()), Form("Unfolded jet spectrum, %s plane", suffix.Data())); | |
695 | TGraphErrors* ratio(GetRatio(foldedLocal, measuredJetSpectrumLocal, TString(""), kTRUE, fBinsTrue->At(fBinsTrue->GetSize()-1))); | |
696 | if(ratio) { | |
697 | ratio->SetNameTitle("RatioRefoldedMeasured", Form("Ratio measured, re-folded %s ", suffix.Data())); | |
698 | ratio->GetYaxis()->SetTitle("ratio measured / re-folded"); | |
699 | ratio = ProtectHeap(ratio); | |
700 | ratio->Write(); | |
d7ec324f | 701 | } |
549b5f40 RAB |
702 | |
703 | // step 4) write histograms to file. to ensure that these have unique identifiers on the heap, | |
704 | // objects are cloned using 'ProtectHeap()' | |
705 | measuredJetSpectrumLocal->SetNameTitle(Form("InputSpectrum_%s", suffix.Data()), Form("InputSpectrum_%s", suffix.Data())); | |
706 | measuredJetSpectrumLocal = ProtectHeap(measuredJetSpectrumLocal); | |
707 | measuredJetSpectrumLocal->Write(); | |
708 | ||
709 | resizedResponseLocal = ProtectHeap(resizedResponseLocal); | |
710 | resizedResponseLocal->Write(); | |
711 | ||
712 | unfoldedLocal = ProtectHeap(unfoldedLocal); | |
713 | if(jetFindingEfficiency) unfoldedLocal->Divide(jetFindingEfficiency); | |
714 | unfoldedLocal->Write(); | |
715 | ||
716 | foldedLocal = ProtectHeap(foldedLocal); | |
717 | foldedLocal->Write(); | |
718 | ||
719 | priorLocal = ProtectHeap(priorLocal); | |
720 | priorLocal->Write(); | |
721 | ||
722 | // step 5) save the fit status (penalty value, degrees of freedom, chi^2 value) | |
723 | TH1F* fitStatus(new TH1F(Form("fitStatus_%s_%s", fActiveString.Data(), suffix.Data()), Form("fitStatus_%s_%s", fActiveString.Data(), suffix.Data()), 4, -0.5, 3.5)); | |
724 | fitStatus->SetBinContent(1, AliUnfolding::fChi2FromFit); | |
725 | fitStatus->GetXaxis()->SetBinLabel(1, "fChi2FromFit"); | |
726 | fitStatus->SetBinContent(2, AliUnfolding::fPenaltyVal); | |
727 | fitStatus->GetXaxis()->SetBinLabel(2, "fPenaltyVal"); | |
728 | fitStatus->SetBinContent(3, fBinsRec->GetSize()-fBinsTrue->GetSize()); | |
729 | fitStatus->GetXaxis()->SetBinLabel(3, "DOF"); | |
730 | fitStatus->SetBinContent(4, (!strcmp(suffix.Data(), "in")) ? fBetaIn : fBetaOut); | |
731 | fitStatus->GetXaxis()->SetBinLabel(4, (!strcmp(suffix.Data(), "in")) ? "fBetaIn" : "fBetaOut"); | |
732 | fitStatus->Write(); | |
733 | return unfoldedLocal; | |
734 | } | |
735 | //_____________________________________________________________________________ | |
736 | TH1D* AliJetFlowTools::UnfoldSpectrumBayesian( | |
737 | const TH1D* measuredJetSpectrum, // jet pt in pt rec bins | |
738 | const TH2D* resizedResponse, // full response matrix, normalized in slides of pt true | |
739 | const TH1D* kinematicEfficiency, // kinematic efficiency | |
740 | const TH1D* measuredJetSpectrumTrueBins, // jet pt in pt true bins, also the prior when measured is chosen as prior | |
741 | const TString suffix, // suffix (in, out) | |
742 | const TH1D* jetFindingEfficiency) // jet finding efficiency (optional) | |
743 | { | |
744 | // use bayesian unfolding from the RooUnfold package to unfold jet spectra | |
745 | ||
746 | // 1) get a prior for unfolding. | |
747 | TH1D* priorLocal( GetPrior( | |
748 | measuredJetSpectrum, // jet pt in pt rec bins | |
749 | resizedResponse, // full response matrix, normalized in slides of pt true | |
750 | kinematicEfficiency, // kinematic efficiency | |
751 | measuredJetSpectrumTrueBins, // jet pt in pt true bins, also the prior when measured is chosen as prior | |
752 | suffix, // suffix (in, out) | |
753 | jetFindingEfficiency)); // jet finding efficiency (optional) | |
754 | if(!priorLocal) { | |
755 | printf(" > couldn't find prior ! < \n"); | |
756 | return 0x0; | |
757 | } else printf(" 1) retrieved prior \n"); | |
d7ec324f | 758 | (!strcmp(suffix.Data(), "in")) ? fActiveDir->cd(Form("InPlane___%s", fActiveString.Data())) : fActiveDir->cd(Form("OutOfPlane___%s", fActiveString.Data())); |
d7ec324f | 759 | |
760 | // 2) setup all the necessary input for the unfolding routine. all input histograms are copied locally | |
549b5f40 RAB |
761 | // measured jets in pt rec binning |
762 | TH1D *measuredJetSpectrumLocal((TH1D*)measuredJetSpectrum->Clone(Form("jets_%s", suffix.Data()))); | |
763 | // local copie of the response matrix | |
764 | TH2D *resizedResponseLocal((TH2D*)resizedResponse->Clone(Form("resizedResponseLocal_%s", suffix.Data()))); | |
765 | // local copy of response matrix, all true slides normalized to 1 | |
766 | // this response matrix will eventually be used in the re-folding routine | |
767 | TH2D *resizedResponseLocalNorm((TH2D*)resizedResponse->Clone(Form("resizedResponseLocalNorm_%s", suffix.Data()))); | |
768 | resizedResponseLocalNorm = NormalizeTH2D(resizedResponseLocalNorm); | |
d7ec324f | 769 | // kinematic efficiency |
770 | TH1D *kinematicEfficiencyLocal((TH1D*)kinematicEfficiency->Clone(Form("kinematicEfficiency_%s", suffix.Data()))); | |
771 | // place holder histos | |
549b5f40 RAB |
772 | TH1D *unfoldedLocalBayes(0x0); |
773 | TH1D *foldedLocalBayes(0x0); | |
d7ec324f | 774 | cout << " 2) setup necessary input " << endl; |
549b5f40 RAB |
775 | // 4) get transpose matrices |
776 | // a) get the transpose of the full response matrix | |
777 | TH2* responseMatrixLocalTransposePrior(fResponseMaker->GetTransposeResponsMatrix(resizedResponseLocal)); | |
d7ec324f | 778 | responseMatrixLocalTransposePrior->SetNameTitle(Form("prior_%s_%s", responseMatrixLocalTransposePrior->GetName(), suffix.Data()),Form("prior_%s_%s", responseMatrixLocalTransposePrior->GetName(), suffix.Data())); |
549b5f40 RAB |
779 | // normalize it with the prior. this will ensure that high statistics bins will constrain the |
780 | // end result most strenuously than bins with limited number of counts | |
781 | responseMatrixLocalTransposePrior = fResponseMaker->NormalizeResponsMatrixYaxisWithPrior(responseMatrixLocalTransposePrior, priorLocal); | |
782 | // 3) get response for Bayesian unfolding | |
783 | RooUnfoldResponse responseBayes(0, 0, responseMatrixLocalTransposePrior, Form("respCombinedBayes_%s", suffix.Data()), Form("respCombinedBayes_%s", suffix.Data())); | |
d7ec324f | 784 | |
549b5f40 RAB |
785 | // 4) actualy unfolding loop |
786 | RooUnfoldBayes unfoldBayes(&responseBayes, measuredJetSpectrumLocal, (!strcmp("in", suffix.Data())) ? fBayesianIterIn : fBayesianIterOut); | |
787 | RooUnfold::ErrorTreatment errorTreatment = (fSVDToy) ? RooUnfold::kCovToy : RooUnfold::kCovariance; | |
788 | unfoldedLocalBayes = (TH1D*)unfoldBayes.Hreco(errorTreatment); | |
789 | // correct the spectrum for the kinematic efficiency | |
790 | unfoldedLocalBayes->Divide(kinematicEfficiencyLocal); | |
791 | // get the pearson coefficients from the covariance matrix | |
792 | TMatrixD covarianceMatrix = unfoldBayes.Ereco(errorTreatment); | |
d7ec324f | 793 | TMatrixD *pearson = (TMatrixD*)CalculatePearsonCoefficients(&covarianceMatrix); |
d7ec324f | 794 | if(pearson) { |
549b5f40 | 795 | TH2D* hPearson(new TH2D(*pearson)); |
d7ec324f | 796 | pearson->Print(); |
797 | hPearson->SetNameTitle(Form("PearsonCoefficients_%s", suffix.Data()), Form("Pearson coefficients_%s", suffix.Data())); | |
798 | hPearson = ProtectHeap(hPearson); | |
799 | hPearson->Write(); | |
549b5f40 | 800 | } else return 0x0; // return if unfolding didn't converge |
d7ec324f | 801 | |
549b5f40 RAB |
802 | // 5) refold the unfolded spectrum |
803 | foldedLocalBayes = fResponseMaker->MultiplyResponseGenerated(unfoldedLocalBayes, resizedResponseLocalNorm, kinematicEfficiencyLocal); | |
804 | TGraphErrors* ratio(GetRatio(measuredJetSpectrumLocal, foldedLocalBayes, "ratio measured / re-folded", kTRUE)); | |
805 | ratio->SetNameTitle(Form("RatioRefoldedMeasured_%s", fActiveString.Data()), Form("Ratio measured / re-folded %s", fActiveString.Data())); | |
d7ec324f | 806 | ratio->GetXaxis()->SetTitle("p_{t}^{rec, rec} [GeV/ c]"); |
807 | ratio->GetYaxis()->SetTitle("ratio measured / re-folded"); | |
808 | ratio->Write(); | |
809 | cout << " 7) refolded the unfolded spectrum " << endl; | |
810 | ||
549b5f40 RAB |
811 | // write the measured, unfolded and re-folded spectra to the output directory |
812 | measuredJetSpectrumLocal->SetNameTitle(Form("InputSpectrum_%s", suffix.Data()), Form("input spectrum (measured) %s", suffix.Data())); | |
813 | measuredJetSpectrumLocal = ProtectHeap(measuredJetSpectrumLocal); | |
814 | measuredJetSpectrumLocal->SetXTitle("p_{t}^{rec} [GeV/c]"); | |
815 | measuredJetSpectrumLocal->Write(); // input spectrum | |
816 | unfoldedLocalBayes->SetNameTitle(Form("UnfoldedSpectrum_%s",suffix.Data()), Form("unfolded spectrum %s", suffix.Data())); | |
817 | unfoldedLocalBayes = ProtectHeap(unfoldedLocalBayes); | |
818 | if(jetFindingEfficiency) unfoldedLocalBayes->Divide(jetFindingEfficiency); | |
819 | unfoldedLocalBayes->Write(); // unfolded spectrum | |
820 | foldedLocalBayes->SetNameTitle(Form("RefoldedSpectrum_%s", suffix.Data()), Form("refoldedSpectrum_%s", suffix.Data())); | |
821 | foldedLocalBayes = ProtectHeap(foldedLocalBayes); | |
822 | foldedLocalBayes->Write(); // re-folded spectrum | |
823 | ||
824 | // save more general bookkeeeping histograms to the output directory | |
825 | responseMatrixLocalTransposePrior->SetNameTitle("TransposeResponseMatrix", "Transpose of response matrix, normalize with prior"); | |
f3ba6c8e | 826 | responseMatrixLocalTransposePrior->SetXTitle("p_{T, jet}^{true} [GeV/c]"); |
827 | responseMatrixLocalTransposePrior->SetYTitle("p_{T, jet}^{rec} [GeV/c]"); | |
d7ec324f | 828 | responseMatrixLocalTransposePrior->Write(); |
549b5f40 RAB |
829 | priorLocal->SetNameTitle("PriorOriginal", "Prior, original"); |
830 | priorLocal->SetXTitle("p_{t} [GeV/c]"); | |
831 | priorLocal = ProtectHeap(priorLocal); | |
832 | priorLocal->Write(); | |
833 | resizedResponseLocalNorm = ProtectHeap(resizedResponseLocalNorm); | |
834 | resizedResponseLocalNorm->Write(); | |
53547ff2 RAB |
835 | |
836 | // save some info | |
837 | TH1F* fitStatus(new TH1F(Form("fitStatus_%s_%s", fActiveString.Data(), suffix.Data()), Form("fitStatus_%s_%s", fActiveString.Data(), suffix.Data()), 1, -0.5, 0.5)); | |
549b5f40 RAB |
838 | fitStatus->SetBinContent(1, (!strcmp(suffix.Data(), "in")) ? fBayesianIterIn : fBayesianIterOut); |
839 | fitStatus->GetXaxis()->SetBinLabel(1, (!strcmp(suffix.Data(), "in")) ? "fBayesianIterIn" : "fBayesianIterOut"); | |
53547ff2 RAB |
840 | fitStatus->Write(); |
841 | ||
549b5f40 | 842 | return unfoldedLocalBayes; |
d7ec324f | 843 | } |
844 | //_____________________________________________________________________________ | |
dc1455ee | 845 | Bool_t AliJetFlowTools::PrepareForUnfolding() |
846 | { | |
847 | // prepare for unfolding | |
4292ca60 | 848 | if(fRawInputProvided) return kTRUE; |
dc1455ee | 849 | if(!fInputList) { |
850 | printf(" AliJetFlowTools::PrepareForUnfolding() fInputList not found \n - Set a list using AliJetFlowTools::SetInputList() \n"); | |
851 | return kFALSE; | |
852 | } | |
549b5f40 | 853 | if(!fDetectorResponse) printf(" WARNING, no detector response supplied ! May be ok (depending on what you want to do) \n "); |
4292ca60 | 854 | // check if the pt bin for true and rec have been set |
855 | if(!fBinsTrue || !fBinsRec) { | |
856 | printf(" AliJetFlowTools::PrepareForUnfolding() no true or rec bins set, aborting ! \n"); | |
857 | return kFALSE; | |
dc1455ee | 858 | } |
486fb24e | 859 | if(!fRMSSpectrumIn && fDphiUnfolding) { // initialie the profiles which will hold the RMS values. if binning changes in between unfolding |
4292ca60 | 860 | // procedures, these profiles will be nonsensical, user is responsible |
861 | fRMSSpectrumIn = new TProfile("fRMSSpectrumIn", "fRMSSpectrumIn", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
862 | fRMSSpectrumOut = new TProfile("fRMSSpectrumOut", "fRMSSpectrumOut", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
863 | fRMSRatio = new TProfile("fRMSRatio", "fRMSRatio", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
dc1455ee | 864 | } |
ef12d5a5 | 865 | if(!fTrainPower) { |
549b5f40 | 866 | // clear minuit state to avoid constraining the fit with the results of the previous iteration |
ef12d5a5 | 867 | for(Int_t i(0); i < fPower->GetNpar(); i++) fPower->SetParameter(i, 0.); |
868 | } | |
c03f7598 | 869 | // extract the spectra |
870 | TString spectrumName(Form("fHistJetPsi2Pt_%i", fCentralityArray->At(0))); | |
871 | if(!fInputList->FindObject(spectrumName.Data())) { | |
dc1455ee | 872 | printf(" Couldn't find spectrum %s ! \n", spectrumName.Data()); |
873 | return kFALSE; | |
874 | } | |
67d11165 | 875 | |
c03f7598 | 876 | // get the first scaled spectrum |
877 | fJetPtDeltaPhi = (TH2D*)fInputList->FindObject(spectrumName.Data()); | |
878 | // clone the spectrum on the heap. this is necessary since scale or add change the | |
879 | // contents of the original histogram | |
4292ca60 | 880 | fJetPtDeltaPhi = ProtectHeap(fJetPtDeltaPhi, kFALSE); |
c03f7598 | 881 | fJetPtDeltaPhi->Scale(fCentralityWeights->At(0)); |
24005d85 | 882 | printf("Extracted %s wight weight %.2f \n", spectrumName.Data(), fCentralityWeights->At(0)); |
c03f7598 | 883 | // merge subsequent bins (if any) |
884 | for(Int_t i(1); i < fCentralityArray->GetSize(); i++) { | |
885 | spectrumName = Form("fHistJetPsi2Pt_%i", fCentralityArray->At(i)); | |
886 | printf( " Merging with %s with weight %.4f \n", spectrumName.Data(), fCentralityWeights->At(i)); | |
887 | fJetPtDeltaPhi->Add(((TH2D*)fInputList->FindObject(spectrumName.Data())), fCentralityWeights->At(i)); | |
888 | } | |
889 | ||
dc1455ee | 890 | // in plane spectrum |
486fb24e | 891 | if(!fDphiUnfolding) { |
5e11c41c | 892 | fSpectrumIn = fJetPtDeltaPhi->ProjectionY(Form("_py_in_%s", spectrumName.Data()), 1, 40, "e"); |
893 | fSpectrumOut = fJetPtDeltaPhi->ProjectionY(Form("_py_out_%s", spectrumName.Data()), 1, 40, "e"); | |
ef12d5a5 | 894 | } else { |
5e11c41c | 895 | fSpectrumIn = fJetPtDeltaPhi->ProjectionY(Form("_py_ina_%s", spectrumName.Data()), 1, 10, "e"); |
896 | fSpectrumIn->Add(fJetPtDeltaPhi->ProjectionY(Form("_py_inb_%s", spectrumName.Data()), 31, 40, "e")); | |
ef12d5a5 | 897 | fSpectrumIn = ProtectHeap(fSpectrumIn); |
898 | // out of plane spectrum | |
5e11c41c | 899 | fSpectrumOut = fJetPtDeltaPhi->ProjectionY(Form("_py_out_%s", spectrumName.Data()), 11, 30, "e"); |
ef12d5a5 | 900 | fSpectrumOut = ProtectHeap(fSpectrumOut); |
901 | } | |
20abfcc4 | 902 | // normalize spectra to event count if requested |
903 | if(fNormalizeSpectra) { | |
c03f7598 | 904 | TH1* rho((TH1*)fInputList->FindObject(Form("fHistRho_%i", fCentralityArray->At(0)))); |
905 | rho->Scale(fCentralityWeights->At(0)); | |
906 | for(Int_t i(1); i < fCentralityArray->GetSize(); i++) { | |
907 | rho->Add((TH1*)fInputList->FindObject(Form("fHistRho_%i", fCentralityArray->At(i))), fCentralityWeights->At(i)); | |
67d11165 | 908 | } |
ef12d5a5 | 909 | if(!rho) return 0x0; |
910 | Bool_t normalizeToFullSpectrum = (fEventCount < 0) ? kTRUE : kFALSE; | |
911 | if (normalizeToFullSpectrum) fEventCount = rho->GetEntries(); | |
20abfcc4 | 912 | if(fEventCount > 0) { |
4292ca60 | 913 | fSpectrumIn->Sumw2(); // necessary for correct error propagation of scale |
914 | fSpectrumOut->Sumw2(); | |
ef12d5a5 | 915 | Double_t pt(0); |
d7ec324f | 916 | Double_t error(0); // lots of issues with the errors here ... |
ef12d5a5 | 917 | for(Int_t i(0); i < fSpectrumIn->GetXaxis()->GetNbins(); i++) { |
4292ca60 | 918 | pt = fSpectrumIn->GetBinContent(1+i)/fEventCount; // normalized count |
d7ec324f | 919 | error = 1./((double)(fEventCount*fEventCount))*fSpectrumIn->GetBinError(1+i)*fSpectrumIn->GetBinError(1+i); |
4292ca60 | 920 | fSpectrumIn->SetBinContent(1+i, pt); |
ef12d5a5 | 921 | if(pt <= 0 ) fSpectrumIn->SetBinError(1+i, 0.); |
d7ec324f | 922 | if(error > 0) fSpectrumIn->SetBinError(1+i, error); |
ef12d5a5 | 923 | else fSpectrumIn->SetBinError(1+i, TMath::Sqrt(pt)); |
4292ca60 | 924 | } |
ef12d5a5 | 925 | for(Int_t i(0); i < fSpectrumOut->GetXaxis()->GetNbins(); i++) { |
926 | pt = fSpectrumOut->GetBinContent(1+i)/fEventCount; // normalized count | |
d7ec324f | 927 | error = 1./((double)(fEventCount*fEventCount))*fSpectrumOut->GetBinError(1+i)*fSpectrumOut->GetBinError(1+i); |
ef12d5a5 | 928 | fSpectrumOut->SetBinContent(1+i, pt); |
929 | if( pt <= 0) fSpectrumOut->SetBinError(1+i, 0.); | |
d7ec324f | 930 | if(error > 0) fSpectrumOut->SetBinError(1+i, error); |
ef12d5a5 | 931 | else fSpectrumOut->SetBinError(1+i, TMath::Sqrt(pt)); |
4292ca60 | 932 | } |
20abfcc4 | 933 | } |
ef12d5a5 | 934 | if(normalizeToFullSpectrum) fEventCount = -1; |
20abfcc4 | 935 | } |
dc1455ee | 936 | // extract the delta pt matrices |
486fb24e | 937 | TString deltaptName(""); |
c03f7598 | 938 | deltaptName += (fExLJDpt) ? Form("fHistDeltaPtDeltaPhi2ExLJ_%i", fCentralityArray->At(0)) : Form("fHistDeltaPtDeltaPhi2_%i", fCentralityArray->At(0)); |
ad04a83c | 939 | fDeltaPtDeltaPhi = ((TH2D*)fInputList->FindObject(deltaptName.Data())); |
940 | if(!fDeltaPtDeltaPhi) { | |
dc1455ee | 941 | printf(" Couldn't find delta pt matrix %s ! \n", deltaptName.Data()); |
549b5f40 RAB |
942 | printf(" > may be ok, depending no what you want to do < \n"); |
943 | fRefreshInput = kTRUE; | |
944 | return kTRUE; | |
dc1455ee | 945 | } |
67d11165 | 946 | |
c03f7598 | 947 | // clone the distribution on the heap and if requested merge with other centralities |
4292ca60 | 948 | fDeltaPtDeltaPhi = ProtectHeap(fDeltaPtDeltaPhi, kFALSE); |
c03f7598 | 949 | fDeltaPtDeltaPhi->Scale(fCentralityWeights->At(0)); |
950 | printf("Extracted %s with weight %.2f \n", deltaptName.Data(), fCentralityWeights->At(0)); | |
951 | for(Int_t i(1); i < fCentralityArray->GetSize(); i++) { | |
952 | deltaptName = (fExLJDpt) ? Form("fHistDeltaPtDeltaPhi2ExLJ_%i", fCentralityArray->At(i)) : Form("fHistDeltaPtDeltaPhi2_%i", fCentralityArray->At(i)); | |
953 | printf(" Merging with %s with weight %.4f \n", deltaptName.Data(), fCentralityWeights->At(i)); | |
954 | fDeltaPtDeltaPhi->Add((TH2D*)fInputList->FindObject(deltaptName.Data()), fCentralityWeights->At(i)); | |
955 | } | |
956 | ||
4292ca60 | 957 | // in plane delta pt distribution |
486fb24e | 958 | if(!fDphiUnfolding) { |
5e11c41c | 959 | fDptInDist = fDeltaPtDeltaPhi->ProjectionY(Form("_py_in_%s", deltaptName.Data()), 1, 40, "e"); |
960 | fDptOutDist = fDeltaPtDeltaPhi->ProjectionY(Form("_py_out_%s", deltaptName.Data()), 1, 40, "e"); | |
ef12d5a5 | 961 | } else { |
5e11c41c | 962 | fDptInDist = fDeltaPtDeltaPhi->ProjectionY(Form("_py_ina_%s", deltaptName.Data()), 1, 10, "e"); |
963 | fDptInDist->Add(fDeltaPtDeltaPhi->ProjectionY(Form("_py_inb_%s", deltaptName.Data()), 31, 40, "e")); | |
ef12d5a5 | 964 | // out of plane delta pt distribution |
5e11c41c | 965 | fDptOutDist = fDeltaPtDeltaPhi->ProjectionY(Form("_py_out_%s", deltaptName.Data()), 11, 30, "e"); |
ef12d5a5 | 966 | fDptInDist = ProtectHeap(fDptInDist); |
967 | fDptOutDist = ProtectHeap(fDptOutDist); | |
968 | // TODO get dpt response matrix from ConstructDPtResponseFromTH1D | |
969 | } | |
4292ca60 | 970 | |
dc1455ee | 971 | // create a rec - true smeared response matrix |
972 | TMatrixD* rfIn = new TMatrixD(-50, 249, -50, 249); | |
973 | for(Int_t j(-50); j < 250; j++) { // loop on pt true slices j | |
ad04a83c | 974 | Bool_t skip = kFALSE; |
dc1455ee | 975 | for(Int_t k(-50); k < 250; k++) { // loop on pt gen slices k |
ad04a83c | 976 | (*rfIn)(k, j) = (skip) ? 0. : fDptInDist->GetBinContent(fDptInDist->GetXaxis()->FindBin(k-j)); |
977 | if(fAvoidRoundingError && k > j && TMath::AreEqualAbs(fDptInDist->GetBinContent(fDptInDist->GetXaxis()->FindBin(k-j)), 0, 1e-8)) skip = kTRUE; | |
dc1455ee | 978 | } |
979 | } | |
980 | TMatrixD* rfOut = new TMatrixD(-50, 249, -50, 249); | |
981 | for(Int_t j(-50); j < 250; j++) { // loop on pt true slices j | |
ad04a83c | 982 | Bool_t skip = kFALSE; |
dc1455ee | 983 | for(Int_t k(-50); k < 250; k++) { // loop on pt gen slices k |
ad04a83c | 984 | (*rfOut)(k, j) = (skip) ? 0. : fDptOutDist->GetBinContent(fDptOutDist->GetXaxis()->FindBin(k-j)); |
985 | if(fAvoidRoundingError && k > j && TMath::AreEqualAbs(fDptOutDist->GetBinContent(fDptOutDist->GetXaxis()->FindBin(k-j)), 0, 1e-8)) skip = kTRUE; | |
dc1455ee | 986 | } |
987 | } | |
988 | fDptIn = new TH2D(*rfIn); | |
c03f7598 | 989 | fDptIn->SetNameTitle(Form("dpt_response_INPLANE_%i", fCentralityArray->At(0)), Form("dpt_response_INPLANE_%i", fCentralityArray->At(0))); |
f3ba6c8e | 990 | fDptIn->GetXaxis()->SetTitle("p_{T, jet}^{gen} [GeV/c]"); |
991 | fDptIn->GetYaxis()->SetTitle("p_{T, jet}^{rec} [GeV/c]"); | |
4292ca60 | 992 | fDptIn = ProtectHeap(fDptIn); |
dc1455ee | 993 | fDptOut = new TH2D(*rfOut); |
c03f7598 | 994 | fDptOut->SetNameTitle(Form("dpt_response_OUTOFPLANE_%i", fCentralityArray->At(0)), Form("dpt_response_OUTOFPLANE_%i", fCentralityArray->At(0))); |
f3ba6c8e | 995 | fDptOut->GetXaxis()->SetTitle("p_{T, jet}^{gen} [GeV/c]"); |
996 | fDptOut->GetYaxis()->SetTitle("p_{T, jet}^{rec} [GeV/c]"); | |
4292ca60 | 997 | fDptOut = ProtectHeap(fDptOut); |
998 | ||
999 | fRefreshInput = kTRUE; // force cloning of the input | |
dc1455ee | 1000 | return kTRUE; |
1001 | } | |
1002 | //_____________________________________________________________________________ | |
486fb24e | 1003 | Bool_t AliJetFlowTools::PrepareForUnfolding(Int_t low, Int_t up) { |
1004 | // prepare for unfoldingUA - more robust method to extract input spectra from file | |
1005 | // will replace PrepareForUnfolding eventually (09012014) | |
1006 | if(!fInputList) { | |
1007 | printf(" AliJetFlowTools::PrepareForUnfolding() fInputList not found \n - Set a list using AliJetFlowTools::SetInputList() \n"); | |
1008 | return kFALSE; | |
1009 | } | |
1010 | if(!fDetectorResponse) printf(" WARNING, no detector response supplied ! May be ok (depending on what you want to do) \n "); | |
1011 | // check if the pt bin for true and rec have been set | |
1012 | if(!fBinsTrue || !fBinsRec) { | |
1013 | printf(" AliJetFlowTools::PrepareForUnfolding() no true or rec bins set, aborting ! \n"); | |
1014 | return kFALSE; | |
1015 | } | |
1016 | if(!fTrainPower) { | |
1017 | // clear minuit state to avoid constraining the fit with the results of the previous iteration | |
1018 | for(Int_t i(0); i < fPower->GetNpar(); i++) fPower->SetParameter(i, 0.); | |
1019 | } | |
1020 | // extract the spectra | |
c03f7598 | 1021 | TString spectrumName(Form("fHistJetPsi2Pt_%i", fCentralityArray->At(0))); |
486fb24e | 1022 | fJetPtDeltaPhi = ((TH2D*)fInputList->FindObject(spectrumName.Data())); |
1023 | if(!fJetPtDeltaPhi) { | |
1024 | printf(" Couldn't find spectrum %s ! \n", spectrumName.Data()); | |
1025 | return kFALSE; | |
1026 | } | |
67d11165 | 1027 | if(fCentralityArray) { |
1028 | for(Int_t i(1); i < fCentralityArray->GetSize(); i++) { | |
1029 | spectrumName = Form("fHistJetPsi2Pt_%i", fCentralityArray->At(i)); | |
1030 | fJetPtDeltaPhi->Add(((TH2D*)fInputList->FindObject(spectrumName.Data()))); | |
1031 | } | |
1032 | } | |
486fb24e | 1033 | fJetPtDeltaPhi = ProtectHeap(fJetPtDeltaPhi, kFALSE); |
1034 | // in plane spectrum | |
1035 | fSpectrumIn = fJetPtDeltaPhi->ProjectionY(Form("_py_in_%s", spectrumName.Data()), low, up, "e"); | |
1036 | // extract the delta pt matrices | |
1037 | TString deltaptName(""); | |
c03f7598 | 1038 | deltaptName += (fExLJDpt) ? Form("fHistDeltaPtDeltaPhi2ExLJ_%i", fCentralityArray->At(0)) : Form("fHistDeltaPtDeltaPhi2_%i", fCentralityArray->At(0)); |
486fb24e | 1039 | fDeltaPtDeltaPhi = ((TH2D*)fInputList->FindObject(deltaptName.Data())); |
1040 | if(!fDeltaPtDeltaPhi) { | |
1041 | printf(" Couldn't find delta pt matrix %s ! \n", deltaptName.Data()); | |
1042 | printf(" > may be ok, depending no what you want to do < \n"); | |
1043 | fRefreshInput = kTRUE; | |
1044 | return kTRUE; | |
1045 | } | |
67d11165 | 1046 | if(fCentralityArray) { |
1047 | for(Int_t i(1); i < fCentralityArray->GetSize(); i++) { | |
1048 | deltaptName += (fExLJDpt) ? Form("fHistDeltaPtDeltaPhi2ExLJ_%i", fCentralityArray->At(i)) : Form("fHistDeltaPtDeltaPhi2_%i", fCentralityArray->At(i)); | |
1049 | fDeltaPtDeltaPhi->Add(((TH2D*)fInputList->FindObject(deltaptName.Data()))); | |
1050 | } | |
1051 | } | |
1052 | ||
486fb24e | 1053 | fDeltaPtDeltaPhi = ProtectHeap(fDeltaPtDeltaPhi, kFALSE); |
1054 | // in plane delta pt distribution | |
1055 | fDptInDist = fDeltaPtDeltaPhi->ProjectionY(Form("_py_in_%s", deltaptName.Data()), low, up, "e"); | |
1056 | // create a rec - true smeared response matrix | |
1057 | TMatrixD* rfIn = new TMatrixD(-50, 249, -50, 249); | |
1058 | for(Int_t j(-50); j < 250; j++) { // loop on pt true slices j | |
1059 | Bool_t skip = kFALSE; | |
1060 | for(Int_t k(-50); k < 250; k++) { // loop on pt gen slices k | |
1061 | (*rfIn)(k, j) = (skip) ? 0. : fDptInDist->GetBinContent(fDptInDist->GetXaxis()->FindBin(k-j)); | |
1062 | if(fAvoidRoundingError && k > j && TMath::AreEqualAbs(fDptInDist->GetBinContent(fDptInDist->GetXaxis()->FindBin(k-j)), 0, 1e-8)) skip = kTRUE; | |
1063 | } | |
1064 | } | |
1065 | fDptIn = new TH2D(*rfIn); | |
c03f7598 | 1066 | fDptIn->SetNameTitle(Form("dpt_response_INPLANE_%i", fCentralityArray->At(0)), Form("dpt_response_INPLANE_%i", fCentralityArray->At(0))); |
f3ba6c8e | 1067 | fDptIn->GetXaxis()->SetTitle("p_{T, jet}^{gen} [GeV/c]"); |
1068 | fDptIn->GetYaxis()->SetTitle("p_{T, jet}^{rec} [GeV/c]"); | |
486fb24e | 1069 | fDptIn = ProtectHeap(fDptIn); |
1070 | ||
1071 | return kTRUE; | |
1072 | } | |
1073 | //_____________________________________________________________________________ | |
549b5f40 RAB |
1074 | TH1D* AliJetFlowTools::GetPrior( |
1075 | const TH1D* measuredJetSpectrum, // jet pt in pt rec bins | |
1076 | const TH2D* resizedResponse, // full response matrix, normalized in slides of pt true | |
1077 | const TH1D* kinematicEfficiency, // kinematic efficiency | |
1078 | const TH1D* measuredJetSpectrumTrueBins, // jet pt in pt true bins, also the prior when measured is chosen as prior | |
1079 | const TString suffix, // suffix (in, out) | |
1080 | const TH1D* jetFindingEfficiency) // jet finding efficiency (optional) | |
1081 | { | |
1082 | // 1) get a prior for unfolding. | |
1083 | // this can be either an unfolded spectrum from e.g. chi2 unfolding or the measured spectrum | |
1084 | TH1D* unfolded(0x0); | |
1085 | TDirectoryFile* dirOut = new TDirectoryFile(Form("Prior_%s___%s", suffix.Data(), fActiveString.Data()), Form("Prior_%s___%s", suffix.Data(), fActiveString.Data())); | |
1086 | dirOut->cd(); | |
1087 | switch (fPrior) { // select the prior for unfolding | |
18698978 | 1088 | case kPriorPythia : { |
1089 | if(!fPriorUser) { | |
1090 | printf("> GetPrior:: FATAL ERROR! pythia prior requested but prior has not been set ! < \n"); | |
1091 | return 0x0; | |
1092 | } | |
1093 | // rebin the given prior to the true spectrum (creates a new histo) | |
1094 | return RebinTH1D(fPriorUser, fBinsTrue, Form("kPriorPythia_%s", suffix.Data()), kFALSE); | |
1095 | } break; | |
549b5f40 RAB |
1096 | case kPriorChi2 : { |
1097 | if(fBinsTruePrior && fBinsRecPrior) { // if set, use different binning for the prior | |
1098 | TArrayD* tempArrayTrue(fBinsTrue); // temporarily cache the original binning | |
1099 | fBinsTrue = fBinsTruePrior; // switch binning schemes (will be used in UnfoldSpectrumChi2()) | |
1100 | TArrayD* tempArrayRec(fBinsRec); | |
1101 | fBinsRec = fBinsRecPrior; | |
1102 | TH1D* measuredJetSpectrumChi2 = RebinTH1D((!strcmp("in", suffix.Data())) ? fSpectrumIn : fSpectrumOut, fBinsRec, TString("resized_chi2"), kFALSE); | |
1103 | TH1D* measuredJetSpectrumTrueBinsChi2 = RebinTH1D((!strcmp("in", suffix.Data())) ? fSpectrumIn : fSpectrumOut, fBinsTruePrior, TString("out"), kFALSE); | |
1104 | TH2D* resizedResponseChi2(RebinTH2D((!strcmp("in", suffix.Data())) ? fFullResponseIn : fFullResponseOut,fBinsTruePrior, fBinsRec, TString("chi2"))); | |
1105 | TH1D* kinematicEfficiencyChi2(resizedResponseChi2->ProjectionX()); | |
1106 | kinematicEfficiencyChi2->SetNameTitle("kin_eff_chi2","kin_eff_chi2"); | |
1107 | for(Int_t i(0); i < kinematicEfficiencyChi2->GetXaxis()->GetNbins(); i++) kinematicEfficiencyChi2->SetBinError(1+i, 0.); | |
1108 | unfolded= UnfoldSpectrumChi2( | |
1109 | measuredJetSpectrumChi2, | |
1110 | resizedResponseChi2, | |
1111 | kinematicEfficiencyChi2, | |
1112 | measuredJetSpectrumTrueBinsChi2, // prior for chi2 unfolding (measured) | |
1113 | TString(Form("prior_%s", suffix.Data()))); | |
1114 | if(!unfolded) { | |
1115 | printf(" > GetPrior:: panic, couldn't get prior from Chi2 unfolding! \n"); | |
1116 | printf(" probably Chi2 unfolding did not converge < \n"); | |
1117 | return 0x0; | |
1118 | } | |
1119 | fBinsTrue = tempArrayTrue; // reset bins borders | |
1120 | fBinsRec = tempArrayRec; | |
1121 | // if the chi2 prior has a different binning, rebin to the true binning for the unfolding | |
1122 | unfolded = RebinTH1D(unfolded, fBinsTrue, TString(Form("unfoldedChi2Prior_%s", suffix.Data()))); // rebin unfolded | |
1123 | } else { | |
1124 | unfolded = UnfoldSpectrumChi2( | |
1125 | measuredJetSpectrum, | |
1126 | resizedResponse, | |
1127 | kinematicEfficiency, | |
1128 | measuredJetSpectrumTrueBins, // prior for chi2 unfolding (measured) | |
1129 | TString(Form("prior_%s", suffix.Data()))); | |
1130 | if(!unfolded) { | |
1131 | printf(" > GetPrior:: panic, couldn't get prior from Chi2 unfolding! \n"); | |
1132 | printf(" probably Chi2 unfolding did not converge < \n"); | |
1133 | return 0x0; | |
1134 | } | |
1135 | } | |
1136 | break; | |
1137 | } | |
1138 | case kPriorMeasured : { | |
1139 | unfolded = (TH1D*)measuredJetSpectrumTrueBins->Clone(Form("kPriorMeasured_%s", suffix.Data())); // copy template to unfolded to use as prior | |
1140 | } | |
1141 | default : break; | |
1142 | } | |
1143 | // it can be important that the prior is smooth, this can be achieved by | |
1144 | // extrapolating the spectrum with a fitted power law when bins are sparsely filed | |
1145 | if(jetFindingEfficiency) unfolded->Divide(jetFindingEfficiency); | |
1146 | TH1D *priorLocal((TH1D*)unfolded->Clone(Form("priorUnfolded_%s", suffix.Data()))); | |
1147 | if(fSmoothenPrior) priorLocal = SmoothenPrior(priorLocal, fPower, fFitMin, fFitMax, fFitStart, kTRUE, fSmoothenCounts); | |
1148 | return priorLocal; | |
1149 | } | |
1150 | //_____________________________________________________________________________ | |
dc1455ee | 1151 | TH1D* AliJetFlowTools::ResizeXaxisTH1D(TH1D* histo, Int_t low, Int_t up, TString suffix) { |
1152 | // resize the x-axis of a th1d | |
1153 | if(!histo) { | |
1154 | printf(" > ResizeXaxisTH!D:: fatal error, NULL pointer passed < \n"); | |
1155 | return NULL; | |
1156 | } | |
1157 | // see how many bins we need to copy | |
1158 | TH1D* resized = new TH1D(Form("%s_resized_%s", histo->GetName(), suffix.Data()), Form("%s_resized_%s", histo->GetName(), suffix.Data()), up-low, (double)low, (double)up); | |
1159 | // low is the bin number of the first new bin | |
1160 | Int_t l = histo->GetXaxis()->FindBin(low); | |
1161 | // set the values | |
1162 | Double_t _x(0), _xx(0); | |
1163 | for(Int_t i(0); i < up-low; i++) { | |
1164 | _x = histo->GetBinContent(l+i); | |
1165 | _xx=histo->GetBinError(l+i); | |
1166 | resized->SetBinContent(i+1, _x); | |
1167 | resized->SetBinError(i+1, _xx); | |
1168 | } | |
1169 | return resized; | |
1170 | } | |
1171 | //_____________________________________________________________________________ | |
1172 | TH2D* AliJetFlowTools::ResizeYaxisTH2D(TH2D* histo, TArrayD* x, TArrayD* y, TString suffix) { | |
1173 | // resize the y-axis of a th2d | |
1174 | if(!histo) { | |
1175 | printf(" > ResizeYaxisTH2D:: fatal error, NULL pointer passed < \n"); | |
1176 | return NULL; | |
1177 | } | |
1178 | // see how many bins we need to copy | |
1179 | TH2D* resized = new TH2D(Form("%s_resized_%s", histo->GetName(), suffix.Data()), Form("%s_resized_%s", histo->GetName(), suffix.Data()), x->GetSize()-1, x->GetArray(), y->GetSize()-1, y->GetArray()); | |
1180 | // assume only the y-axis has changed | |
1181 | // low is the bin number of the first new bin | |
1182 | Int_t low = histo->GetYaxis()->FindBin(y->At(0)); | |
1183 | // set the values | |
1184 | Double_t _x(0), _xx(0); | |
1185 | for(Int_t i(0); i < x->GetSize(); i++) { | |
1186 | for(Int_t j(0); j < y->GetSize(); j++) { | |
1187 | _x = histo->GetBinContent(i, low+j); | |
1188 | _xx=histo->GetBinError(i, low+1+j); | |
1189 | resized->SetBinContent(i, j, _x); | |
1190 | resized->SetBinError(i, j, _xx); | |
1191 | } | |
1192 | } | |
1193 | return resized; | |
1194 | } | |
1195 | //_____________________________________________________________________________ | |
512ced40 | 1196 | TH2D* AliJetFlowTools::NormalizeTH2D(TH2D* histo, Bool_t noError) { |
dc1455ee | 1197 | // general method to normalize all vertical slices of a th2 to unity |
1198 | // i.e. get a probability matrix | |
1199 | if(!histo) { | |
1200 | printf(" > NormalizeTH2D:: fatal error, NULL pointer passed < \n"); | |
1201 | return NULL; | |
1202 | } | |
1203 | Int_t binsX = histo->GetXaxis()->GetNbins(); | |
1204 | Int_t binsY = histo->GetYaxis()->GetNbins(); | |
1205 | ||
1206 | // normalize all slices in x | |
1207 | for(Int_t i(0); i < binsX; i++) { // for each vertical slice | |
1208 | Double_t weight = 0; | |
1209 | for(Int_t j(0); j < binsY; j++) { // loop over all the horizontal components | |
1210 | weight+=histo->GetBinContent(i+1, j+1); | |
1211 | } // now we know the total weight | |
1212 | for(Int_t j(0); j < binsY; j++) { | |
1213 | if (weight <= 0 ) continue; | |
1214 | histo->SetBinContent(1+i, j+1, histo->GetBinContent(1+i, j+1)/weight); | |
512ced40 RAB |
1215 | if(noError) histo->SetBinError( 1+i, j+1, 0.); |
1216 | else histo->SetBinError( 1+i, j+1, histo->GetBinError( 1+i, j+1)/weight); | |
dc1455ee | 1217 | } |
1218 | } | |
1219 | return histo; | |
1220 | } | |
1221 | //_____________________________________________________________________________ | |
53547ff2 | 1222 | TH1D* AliJetFlowTools::RebinTH1D(TH1D* histo, TArrayD* bins, TString suffix, Bool_t kill) { |
dc1455ee | 1223 | // return a TH1D with the supplied histogram rebinned to the supplied bins |
53547ff2 | 1224 | // the returned histogram is new, the original is deleted from the heap if kill is true |
dc1455ee | 1225 | if(!histo || !bins) { |
53547ff2 | 1226 | printf(" > RebinTH1D:: fatal error, NULL pointer passed < \n"); |
dc1455ee | 1227 | return NULL; |
1228 | } | |
1229 | // create the output histo | |
1230 | TString name = histo->GetName(); | |
1231 | name+="_template"; | |
1232 | name+=suffix; | |
1233 | TH1D* rebinned = new TH1D(name.Data(), name.Data(), bins->GetSize()-1, bins->GetArray()); | |
1234 | for(Int_t i(0); i < histo->GetXaxis()->GetNbins(); i++) { | |
4292ca60 | 1235 | // loop over the bins of the old histo and fill the new one with its data |
1236 | rebinned->Fill(histo->GetBinCenter(i+1), histo->GetBinContent(i+1)); | |
dc1455ee | 1237 | } |
53547ff2 | 1238 | if(kill) delete histo; |
dc1455ee | 1239 | return rebinned; |
1240 | } | |
1241 | //_____________________________________________________________________________ | |
4292ca60 | 1242 | TH2D* AliJetFlowTools::RebinTH2D(TH2D* rebinMe, TArrayD* binsTrue, TArrayD* binsRec, TString suffix) { |
53547ff2 | 1243 | // weighted rebinning of a th2d, implementation for function call to AliAnaChargedJetResponseMaker |
4292ca60 | 1244 | if(!fResponseMaker || !binsTrue || !binsRec) { |
1245 | printf(" > RebinTH2D:: function called with NULL arguments < \n"); | |
1246 | return 0x0; | |
dc1455ee | 1247 | } |
4292ca60 | 1248 | TString name(Form("%s_%s", rebinMe->GetName(), suffix.Data())); |
1249 | return (TH2D*)fResponseMaker->MakeResponseMatrixRebin(rebinMe, (TH2*)(new TH2D(name.Data(), name.Data(), binsTrue->GetSize()-1, binsTrue->GetArray(), binsRec->GetSize()-1, binsRec->GetArray())), kTRUE); | |
dc1455ee | 1250 | } |
1251 | //_____________________________________________________________________________ | |
d7ec324f | 1252 | TH2D* AliJetFlowTools::MatrixMultiplication(TH2D* a, TH2D* b, TString name) |
1253 | { | |
1254 | // multiply two matrices | |
1255 | if (a->GetNbinsX() != b->GetNbinsY()) return 0x0; | |
1256 | TH2D* c = (TH2D*)a->Clone("c"); | |
1257 | for (Int_t y1 = 1; y1 <= a->GetNbinsY(); y1++) { | |
1258 | for (Int_t x2 = 1; x2 <= b->GetNbinsX(); x2++) { | |
1259 | Double_t val = 0; | |
1260 | for (Int_t x1 = 1; x1 <= a->GetNbinsX(); x1++) { | |
1261 | Int_t y2 = x1; | |
1262 | val += a->GetBinContent(x1, y1) * b->GetBinContent(x2, y2); | |
1263 | } | |
1264 | c->SetBinContent(x2, y1, val); | |
512ced40 | 1265 | c->SetBinError(x2, y1, 0.); |
dc1455ee | 1266 | } |
1267 | } | |
d7ec324f | 1268 | if(strcmp(name.Data(), "")) c->SetNameTitle(name.Data(), name.Data()); |
1269 | return c; | |
dc1455ee | 1270 | } |
1271 | //_____________________________________________________________________________ | |
d7ec324f | 1272 | TH1D* AliJetFlowTools::NormalizeTH1D(TH1D* histo, Double_t scale) |
1273 | { | |
dc1455ee | 1274 | // normalize a th1d to a certain scale |
4292ca60 | 1275 | histo->Sumw2(); |
1276 | Double_t integral = histo->Integral()*scale; | |
1277 | if (integral > 0 && scale == 1.) histo->Scale(1./integral, "width"); | |
1278 | else if (scale != 1.) histo->Scale(1./scale, "width"); | |
1279 | else printf(" > Histogram integral < 0, cannot normalize \n"); | |
1280 | return histo; | |
dc1455ee | 1281 | } |
1282 | //_____________________________________________________________________________ | |
51e6bc5a | 1283 | TMatrixD* AliJetFlowTools::CalculatePearsonCoefficients(TMatrixD* covarianceMatrix) |
dc1455ee | 1284 | { |
1285 | // Calculate pearson coefficients from covariance matrix | |
51e6bc5a | 1286 | TMatrixD *pearsonCoefficients((TMatrixD*)covarianceMatrix->Clone("pearsonCoefficients")); |
1287 | Int_t nrows(covarianceMatrix->GetNrows()), ncols(covarianceMatrix->GetNcols()); | |
ad04a83c | 1288 | Double_t pearson(0.); |
dc1455ee | 1289 | if(nrows==0 && ncols==0) return 0x0; |
ef12d5a5 | 1290 | for(Int_t row = 0; row < nrows; row++) { |
1291 | for(Int_t col = 0; col<ncols; col++) { | |
51e6bc5a | 1292 | if((*covarianceMatrix)(row,row)!=0. && (*covarianceMatrix)(col,col)!=0.) pearson = (*covarianceMatrix)(row,col)/TMath::Sqrt((*covarianceMatrix)(row,row)*(*covarianceMatrix)(col,col)); |
1293 | (*pearsonCoefficients)(row,col) = pearson; | |
dc1455ee | 1294 | } |
1295 | } | |
51e6bc5a | 1296 | return pearsonCoefficients; |
dc1455ee | 1297 | } |
1298 | //_____________________________________________________________________________ | |
549b5f40 | 1299 | TH1D* AliJetFlowTools::SmoothenPrior(TH1D* spectrum, TF1* function, Double_t min, Double_t max, Double_t start, Bool_t kill, Bool_t counts) { |
d7ec324f | 1300 | // smoothen the spectrum using a user defined function |
1301 | // returns a clone of the original spectrum if fitting failed | |
1302 | // if kill is kTRUE the input spectrum will be deleted from the heap | |
1303 | // if 'count' is selected, bins are filled with integers (necessary if the | |
1304 | // histogram is interpreted in a routine which accepts only counts) | |
549b5f40 RAB |
1305 | if(!spectrum || !function) return 0x0; |
1306 | if(start > max) printf(" > cannot extrapolate fit beyond fit range ! < " ); | |
d7ec324f | 1307 | TH1D* temp = (TH1D*)spectrum->Clone(Form("%s_smoothened", spectrum->GetName())); |
1308 | temp->Sumw2(); // if already called on the original, this will give off a warning but do nothing | |
87233f72 | 1309 | TFitResultPtr r = temp->Fit(function, "", "", min, max); |
d7ec324f | 1310 | if((int)r == 0) { // MINUIT status |
1311 | for(Int_t i(0); i < temp->GetNbinsX() + 1; i++) { | |
1312 | if(temp->GetBinCenter(i) > start) { // from this pt value use extrapolation | |
486fb24e | 1313 | (counts) ? temp->SetBinContent(i, (int)(function->Integral(temp->GetXaxis()->GetBinLowEdge(i),temp->GetXaxis()->GetBinUpEdge(i))/temp->GetXaxis()->GetBinWidth(i))) : temp->SetBinContent(i, function->Integral(temp->GetXaxis()->GetBinLowEdge(i),temp->GetXaxis()->GetBinUpEdge(i))/temp->GetXaxis()->GetBinWidth(i)); |
d7ec324f | 1314 | if(temp->GetBinContent(i) > 0) temp->SetBinError(i, TMath::Sqrt(temp->GetBinContent(i))); |
1315 | } | |
1316 | } | |
1317 | } | |
1318 | if(kill) delete spectrum; | |
1319 | return temp; | |
1320 | } | |
1321 | //_____________________________________________________________________________ | |
18698978 | 1322 | void AliJetFlowTools::Style() |
1323 | { | |
1324 | // set global style for your current aliroot session | |
1325 | if(!gStyle) return; | |
1326 | gStyle->SetCanvasColor(-1); | |
1327 | gStyle->SetPadColor(-1); | |
1328 | gStyle->SetFrameFillColor(-1); | |
1329 | gStyle->SetHistFillColor(-1); | |
1330 | gStyle->SetTitleFillColor(-1); | |
1331 | gStyle->SetFillColor(-1); | |
1332 | gStyle->SetFillStyle(4000); | |
1333 | gStyle->SetStatStyle(0); | |
1334 | gStyle->SetTitleStyle(0); | |
1335 | gStyle->SetCanvasBorderSize(0); | |
1336 | gStyle->SetFrameBorderSize(0); | |
1337 | gStyle->SetLegendBorderSize(0); | |
1338 | gStyle->SetStatBorderSize(0); | |
1339 | gStyle->SetTitleBorderSize(0); | |
1340 | } | |
1341 | //_____________________________________________________________________________ | |
d7ec324f | 1342 | void AliJetFlowTools::Style(TCanvas* c, TString style) |
1343 | { | |
1344 | // set a default style for a canvas | |
1345 | if(!strcmp(style.Data(), "PEARSON")) { | |
1346 | printf(" > style PEARSON canvas < \n"); | |
1347 | gStyle->SetOptStat(0); | |
1348 | c->SetGridx(); | |
1349 | c->SetGridy(); | |
1350 | c->SetTicks(); | |
1351 | return; | |
1352 | } else if(!strcmp(style.Data(), "SPECTRUM")) { | |
1353 | printf(" > style SPECTRUM canvas < \n"); | |
1354 | gStyle->SetOptStat(0); | |
1355 | c->SetLogy(); | |
1356 | c->SetGridx(); | |
1357 | c->SetGridy(); | |
1358 | c->SetTicks(); | |
1359 | return; | |
1360 | } else printf(" > Style called with unknown option %s \n returning < \n", style.Data()); | |
1361 | } | |
1362 | //_____________________________________________________________________________ | |
1363 | void AliJetFlowTools::Style(TVirtualPad* c, TString style) | |
1364 | { | |
1365 | // set a default style for a canvas | |
18698978 | 1366 | c->SetLeftMargin(.25); |
1367 | c->SetBottomMargin(.25); | |
d7ec324f | 1368 | if(!strcmp(style.Data(), "PEARSON")) { |
1369 | printf(" > style PEARSON pad < \n"); | |
1370 | gStyle->SetOptStat(0); | |
1371 | c->SetGridx(); | |
1372 | c->SetGridy(); | |
1373 | c->SetTicks(); | |
1374 | return; | |
1375 | } else if(!strcmp(style.Data(), "SPECTRUM")) { | |
1376 | printf(" > style SPECTRUM pad < \n"); | |
1377 | gStyle->SetOptStat(0); | |
1378 | c->SetLogy(); | |
1379 | c->SetGridx(); | |
1380 | c->SetGridy(); | |
1381 | c->SetTicks(); | |
1382 | return; | |
18698978 | 1383 | } else if (!strcmp(style.Data(), "GRID")) { |
1384 | printf(" > style GRID pad < \n"); | |
1385 | gStyle->SetOptStat(0); | |
1386 | c->SetGridx(); | |
1387 | c->SetGridy(); | |
1388 | c->SetTicks(); | |
d7ec324f | 1389 | } else printf(" > Style called with unknown option %s \n returning < \n", style.Data()); |
1390 | } | |
1391 | //_____________________________________________________________________________ | |
53547ff2 RAB |
1392 | void AliJetFlowTools::Style(TLegend* l) |
1393 | { | |
1394 | // set a default style for a legend | |
18698978 | 1395 | // l->SetTextSize(.06); |
53547ff2 | 1396 | l->SetFillColor(0); |
18698978 | 1397 | // l->SetFillStyle(4050); |
1398 | l->SetBorderSize(0); | |
53547ff2 RAB |
1399 | } |
1400 | //_____________________________________________________________________________ | |
1401 | void AliJetFlowTools::Style(TH1* h, EColor col, histoType type) | |
1402 | { | |
1403 | // style a histo | |
1404 | h->SetLineColor(col); | |
1405 | h->SetMarkerColor(col); | |
1406 | h->SetLineWidth(2.); | |
c03f7598 | 1407 | h->SetMarkerSize(1.); |
18698978 | 1408 | h->SetTitle(""); |
1409 | h->GetYaxis()->SetLabelSize(0.05); | |
1410 | h->GetXaxis()->SetLabelSize(0.05); | |
1411 | h->GetYaxis()->SetTitleOffset(1.5); | |
1412 | h->GetXaxis()->SetTitleOffset(1.5); | |
1413 | h->GetYaxis()->SetTitleSize(.05); | |
1414 | h->GetXaxis()->SetTitleSize(.05); | |
53547ff2 RAB |
1415 | switch (type) { |
1416 | case kInPlaneSpectrum : { | |
1417 | h->SetTitle("IN PLANE"); | |
c03f7598 | 1418 | h->GetXaxis()->SetTitle("#it{p}_{T}^{ch, jet} [GeV/#it{c}]"); |
18698978 | 1419 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
53547ff2 RAB |
1420 | } break; |
1421 | case kOutPlaneSpectrum : { | |
1422 | h->SetTitle("OUT OF PLANE"); | |
18698978 | 1423 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
c03f7598 | 1424 | h->GetXaxis()->SetTitle("#it{p}_{T}^{ch, jet} [GeV/#it{c}]"); |
53547ff2 RAB |
1425 | } break; |
1426 | case kUnfoldedSpectrum : { | |
1427 | h->SetTitle("UNFOLDED"); | |
18698978 | 1428 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
c03f7598 | 1429 | h->GetXaxis()->SetTitle("#it{p}_{T}^{ch, jet} [GeV/#it{c}]"); |
53547ff2 RAB |
1430 | } break; |
1431 | case kFoldedSpectrum : { | |
1432 | h->SetTitle("FOLDED"); | |
18698978 | 1433 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
c03f7598 | 1434 | h->GetXaxis()->SetTitle("#it{p}_{T}^{ch, jet} [GeV/#it{c}]"); |
53547ff2 RAB |
1435 | } break; |
1436 | case kMeasuredSpectrum : { | |
1437 | h->SetTitle("MEASURED"); | |
18698978 | 1438 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
c03f7598 | 1439 | h->GetXaxis()->SetTitle("#it{p}_{T}^{ch, jet} [GeV/#it{c}]"); |
53547ff2 | 1440 | } break; |
18698978 | 1441 | case kBar : { |
1442 | h->SetFillColor(col); | |
1443 | h->SetBarWidth(.6); | |
c03f7598 | 1444 | h->GetXaxis()->SetTitle("#it{p}_{T}^{ch, jet} [GeV/#it{c}]"); |
18698978 | 1445 | h->SetBarOffset(0.2); |
1446 | } | |
53547ff2 RAB |
1447 | default : break; |
1448 | } | |
1449 | } | |
1450 | //_____________________________________________________________________________ | |
1451 | void AliJetFlowTools::Style(TGraph* h, EColor col, histoType type) | |
1452 | { | |
1453 | // style a histo | |
1454 | h->SetLineColor(col); | |
1455 | h->SetMarkerColor(col); | |
1456 | h->SetLineWidth(2.); | |
c03f7598 | 1457 | h->SetMarkerSize(1.); |
18698978 | 1458 | h->SetTitle(""); |
d06dbffe | 1459 | h->SetFillColor(kCyan); |
a39e4b2b | 1460 | h->GetYaxis()->SetLabelSize(0.05); |
1461 | h->GetXaxis()->SetLabelSize(0.05); | |
1462 | h->GetYaxis()->SetTitleOffset(1.6); | |
1463 | h->GetXaxis()->SetTitleOffset(1.6); | |
1464 | h->GetYaxis()->SetTitleSize(.05); | |
1465 | h->GetXaxis()->SetTitleSize(.05); | |
1466 | h->GetXaxis()->SetTitle("#it{p}_{T}^{ch, jet} [GeV/#it{c}]"); | |
53547ff2 RAB |
1467 | switch (type) { |
1468 | case kInPlaneSpectrum : { | |
1469 | h->SetTitle("IN PLANE"); | |
18698978 | 1470 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
53547ff2 RAB |
1471 | } break; |
1472 | case kOutPlaneSpectrum : { | |
1473 | h->SetTitle("OUT OF PLANE"); | |
18698978 | 1474 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
53547ff2 RAB |
1475 | } break; |
1476 | case kUnfoldedSpectrum : { | |
1477 | h->SetTitle("UNFOLDED"); | |
18698978 | 1478 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
53547ff2 RAB |
1479 | } break; |
1480 | case kFoldedSpectrum : { | |
1481 | h->SetTitle("FOLDED"); | |
18698978 | 1482 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
53547ff2 RAB |
1483 | } break; |
1484 | case kMeasuredSpectrum : { | |
1485 | h->SetTitle("MEASURED"); | |
18698978 | 1486 | h->GetYaxis()->SetTitle("#frac{d#it{N}}{d#it{p}_{T}}"); |
53547ff2 | 1487 | } break; |
a39e4b2b | 1488 | case kRatio : { |
1489 | h->GetYaxis()->SetTitle("#frac{d#it{N_{in plane}^{jet}}}{d#it{p}_{T}} / #frac{d#it{N_{out of plane}^{jet}}}{d#it{p}_{T}}"); | |
1490 | } break; | |
1491 | case kV2 : { | |
1492 | h->GetYaxis()->SetTitle("#it{v}_{2} = #frac{1}{#it{R}} #frac{#pi}{4} #frac{#it{N_{in plane}} - #it{N_{out of plane}}}{#it{N_{in plane}} + #it{N_{out of plane}}}"); | |
1493 | h->GetYaxis()->SetRangeUser(-.5, 1.); | |
1494 | } break; | |
53547ff2 RAB |
1495 | default : break; |
1496 | } | |
1497 | } | |
1498 | //_____________________________________________________________________________ | |
a39e4b2b | 1499 | void AliJetFlowTools::GetNominalValues( |
1500 | TH1D*& ratio, // pointer reference, output of this function | |
1501 | TGraphErrors*& v2, // pointer reference, as output of this function | |
1502 | TArrayI* in, | |
1503 | TArrayI* out, | |
1504 | TString inFile, | |
1505 | TString outFile) const | |
1506 | { | |
1507 | // pass clones of the nominal points and nominal v2 values | |
1508 | if(fOutputFile && !fOutputFile->IsZombie()) fOutputFile->Close(); // if for some weird reason the unfolding output is still mutable | |
1509 | TFile* readMe(new TFile(inFile.Data(), "READ")); // open unfolding output read-only | |
1510 | if(readMe->IsZombie()) { | |
1511 | printf(" > Fatal error, couldn't read %s for post processing ! < \n", inFile.Data()); | |
1512 | return; | |
1513 | } | |
1514 | printf("\n\n\n\t\t GetNominalValues \n > Recovered the following file structure : \n <"); | |
1515 | readMe->ls(); | |
1516 | TFile* output(new TFile(outFile.Data(), "RECREATE")); // create new output file | |
a39e4b2b | 1517 | // get some placeholders, have to be initialized but will be deleted |
1518 | ratio = new TH1D("nominal", "nominal", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
1519 | TH1D* nominalIn(new TH1D("nominal in", "nominal in", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1520 | TH1D* nominalOut(new TH1D("nominal out", "nominal out", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1521 | Int_t iIn[] = {in->At(0), in->At(0)}; // first value is the nominal point | |
1522 | Int_t iOut[] = {out->At(0), out->At(0)}; | |
1523 | ||
1524 | // call the functions and set the relevant pointer references | |
1525 | TH1D* dud(0x0); | |
1526 | DoIntermediateSystematics( | |
1527 | new TArrayI(2, iIn), | |
1528 | new TArrayI(2, iOut), | |
1529 | dud, dud, dud, dud, dud, dud, | |
1530 | ratio, // pointer reference, output of this function | |
1531 | nominalIn, | |
1532 | nominalOut, | |
1533 | 1, | |
1534 | fBinsTrue->At(0), | |
24005d85 | 1535 | fBinsTrue->At(fBinsTrue->GetSize()-1), |
a39e4b2b | 1536 | readMe, |
1537 | "nominal_values"); | |
35c03ef1 | 1538 | v2 = GetV2(nominalIn, nominalOut, fEventPlaneRes, "nominal v_{2}"); |
a39e4b2b | 1539 | |
1540 | // close the open files, reclaim ownership of histograms which are necessary outside of the file scope | |
1541 | ratio->SetDirectory(0); // disassociate from current gDirectory | |
1542 | readMe->Close(); | |
a39e4b2b | 1543 | } |
1544 | //_____________________________________________________________________________ | |
18698978 | 1545 | void AliJetFlowTools::GetCorrelatedUncertainty( |
a39e4b2b | 1546 | TGraphAsymmErrors*& corrRatio, // correlated uncertainty function pointer |
1547 | TGraphAsymmErrors*& corrV2, // correlated uncertainty function pointer | |
1548 | TArrayI* variationsIn, // variantions in plnae | |
1549 | TArrayI* variationsOut, // variantions out of plane | |
7b88bd32 | 1550 | Bool_t sym, // treat as symmmetric |
1551 | TArrayI* variations2ndIn, // second source of variations | |
1552 | TArrayI* variations2ndOut, // second source of variations | |
1553 | Bool_t sym2nd, // treat as symmetric | |
18698978 | 1554 | TString type, // type of uncertaitny |
24005d85 | 1555 | TString type2, |
18698978 | 1556 | Int_t columns, // divide the output canvasses in this many columns |
1557 | Float_t rangeLow, // lower pt range | |
1558 | Float_t rangeUp, // upper pt range | |
5159ed9e | 1559 | Float_t corr, // correlation strength |
18698978 | 1560 | TString in, // input file name (created by this unfolding class) |
1561 | TString out // output file name (which will hold results of the systematic test) | |
1562 | ) const | |
f3ba6c8e | 1563 | { |
18698978 | 1564 | // do full systematics |
1565 | if(fOutputFile && !fOutputFile->IsZombie()) fOutputFile->Close(); // if for some weird reason the unfolding output is still mutable | |
1566 | TFile* readMe(new TFile(in.Data(), "READ")); // open unfolding output read-only | |
1567 | if(readMe->IsZombie()) { | |
1568 | printf(" > Fatal error, couldn't read %s for post processing ! < \n", in.Data()); | |
1569 | return; | |
1570 | } | |
1571 | printf("\n\n\n\t\t GetCorrelatedUncertainty \n > Recovered the following file structure : \n <"); | |
1572 | readMe->ls(); | |
1573 | TFile* output(new TFile(out.Data(), "RECREATE")); // create new output file | |
1574 | ||
1575 | // create some null placeholder pointers | |
1576 | TH1D* relativeErrorVariationInLow(0x0); | |
1577 | TH1D* relativeErrorVariationInUp(0x0); | |
1578 | TH1D* relativeErrorVariationOutLow(0x0); | |
1579 | TH1D* relativeErrorVariationOutUp(0x0); | |
98d5b614 | 1580 | TH1D* relativeError2ndVariationInLow(0x0); |
1581 | TH1D* relativeError2ndVariationInUp(0x0); | |
1582 | TH1D* relativeError2ndVariationOutLow(0x0); | |
1583 | TH1D* relativeError2ndVariationOutUp(0x0); | |
18698978 | 1584 | TH1D* relativeStatisticalErrorIn(0x0); |
1585 | TH1D* relativeStatisticalErrorOut(0x0); | |
a39e4b2b | 1586 | // histo for the nominal ratio in / out |
1587 | TH1D* nominal(new TH1D("ratio in plane, out of plane", "ratio in plane, out of plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1588 | TH1D* nominalIn(new TH1D("in plane jet yield", "in plane jet yield", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1589 | TH1D* nominalOut(new TH1D("out of plane jet yield", "out of plane jet yield", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
18698978 | 1590 | |
1591 | // call the functions | |
1592 | if(variationsIn && variationsOut) { | |
1593 | DoIntermediateSystematics( | |
1594 | variationsIn, | |
1595 | variationsOut, | |
1596 | relativeErrorVariationInUp, // pointer reference | |
1597 | relativeErrorVariationInLow, // pointer reference | |
1598 | relativeErrorVariationOutUp, // pointer reference | |
1599 | relativeErrorVariationOutLow, // pointer reference | |
a39e4b2b | 1600 | relativeStatisticalErrorIn, // pointer reference |
1601 | relativeStatisticalErrorOut, // pointer reference | |
1602 | nominal, | |
1603 | nominalIn, | |
1604 | nominalOut, | |
18698978 | 1605 | columns, |
1606 | rangeLow, | |
1607 | rangeUp, | |
1608 | readMe, | |
1609 | type); | |
1610 | if(relativeErrorVariationInUp) { | |
1611 | // canvas with the error from variation strength | |
1612 | TCanvas* relativeErrorVariation(new TCanvas(Form("relativeError_%s", type.Data()), Form("relativeError_%s", type.Data()))); | |
1613 | relativeErrorVariation->Divide(2); | |
1614 | relativeErrorVariation->cd(1); | |
1615 | Style(gPad, "GRID"); | |
1616 | relativeErrorVariationInUp->DrawCopy("b"); | |
1617 | relativeErrorVariationInLow->DrawCopy("same b"); | |
1618 | Style(AddLegend(gPad)); | |
1619 | relativeErrorVariation->cd(2); | |
1620 | Style(gPad, "GRID"); | |
1621 | relativeErrorVariationOutUp->DrawCopy("b"); | |
1622 | relativeErrorVariationOutLow->DrawCopy("same b"); | |
1623 | SavePadToPDF(relativeErrorVariation); | |
1624 | Style(AddLegend(gPad)); | |
1625 | relativeErrorVariation->Write(); | |
1626 | } | |
98d5b614 | 1627 | } |
1628 | // call the functions for a second set of systematic sources | |
1629 | if(variations2ndIn && variations2ndOut) { | |
1630 | DoIntermediateSystematics( | |
1631 | variations2ndIn, | |
1632 | variations2ndOut, | |
1633 | relativeError2ndVariationInUp, // pointer reference | |
1634 | relativeError2ndVariationInLow, // pointer reference | |
1635 | relativeError2ndVariationOutUp, // pointer reference | |
1636 | relativeError2ndVariationOutLow, // pointer reference | |
1637 | relativeStatisticalErrorIn, // pointer reference | |
1638 | relativeStatisticalErrorOut, // pointer reference | |
1639 | nominal, | |
1640 | nominalIn, | |
1641 | nominalOut, | |
1642 | columns, | |
1643 | rangeLow, | |
1644 | rangeUp, | |
1645 | readMe, | |
24005d85 | 1646 | type2); |
98d5b614 | 1647 | if(relativeError2ndVariationInUp) { |
1648 | // canvas with the error from variation strength | |
24005d85 | 1649 | TCanvas* relativeError2ndVariation(new TCanvas(Form("relativeError2nd_%s", type2.Data()), Form("relativeError2nd_%s", type2.Data()))); |
98d5b614 | 1650 | relativeError2ndVariation->Divide(2); |
1651 | relativeError2ndVariation->cd(1); | |
1652 | Style(gPad, "GRID"); | |
1653 | relativeError2ndVariationInUp->DrawCopy("b"); | |
1654 | relativeError2ndVariationInLow->DrawCopy("same b"); | |
1655 | Style(AddLegend(gPad)); | |
1656 | relativeError2ndVariation->cd(2); | |
1657 | Style(gPad, "GRID"); | |
1658 | relativeError2ndVariationOutUp->DrawCopy("b"); | |
1659 | relativeError2ndVariationOutLow->DrawCopy("same b"); | |
1660 | SavePadToPDF(relativeError2ndVariation); | |
1661 | Style(AddLegend(gPad)); | |
1662 | relativeError2ndVariation->Write(); | |
1663 | } | |
1664 | ||
18698978 | 1665 | } |
1666 | ||
1667 | // and the placeholder for the final systematic | |
1668 | TH1D* relativeErrorInUp(new TH1D("max correlated uncertainty in plane", "max correlated uncertainty in plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1669 | TH1D* relativeErrorOutUp(new TH1D("max correlated uncertainty out of plane", "max correlated uncertainty out of plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1670 | TH1D* relativeErrorInLow(new TH1D("min correlated uncertainty in plane", "min correlated uncertainty in plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1671 | TH1D* relativeErrorOutLow(new TH1D("min correlated uncertainty out of plane", "min correlated uncertainty out of plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1672 | relativeErrorInUp->SetYTitle("relative uncertainty"); | |
1673 | relativeErrorOutUp->SetYTitle("relative uncertainty"); | |
1674 | relativeErrorInLow->SetYTitle("relative uncertainty"); | |
1675 | relativeErrorOutLow->SetYTitle("relative uncertainty"); | |
1676 | ||
a39e4b2b | 1677 | // merge the correlated errors (FIXME) trivial for one set |
1678 | Double_t aInUp(0.), bInUp(0.), cInUp(0.), dInUp(0.); | |
1679 | Double_t aOutUp(0.), bOutUp(0.), cOutUp(0.), dOutUp(0.); | |
1680 | Double_t aInLow(0.), bInLow(0.), cInLow(0.), dInLow(0.); | |
1681 | Double_t aOutLow(0.), bOutLow(0.), cOutLow(0.), dOutLow(0.); | |
1682 | ||
1683 | for(Int_t b(0); b < fBinsTrue->GetSize()-1; b++) { | |
1684 | // for the upper bound | |
1685 | if(relativeErrorVariationInUp) aInUp = relativeErrorVariationInUp->GetBinContent(b+1); | |
1686 | if(relativeErrorVariationOutUp) aOutUp = relativeErrorVariationOutUp->GetBinContent(b+1); | |
98d5b614 | 1687 | if(relativeError2ndVariationInUp) bInUp = relativeError2ndVariationInUp->GetBinContent(b+1); |
1688 | if(relativeError2ndVariationOutUp) bInLow = relativeError2ndVariationOutUp->GetBinContent(b+1); | |
a39e4b2b | 1689 | dInUp = aInUp*aInUp + bInUp*bInUp + cInUp*cInUp; |
7b88bd32 | 1690 | // for a symmetric first variation |
1691 | if(sym) dInUp += aInLow*aInLow; | |
a39e4b2b | 1692 | if(dInUp > 0) relativeErrorInUp->SetBinContent(b+1, TMath::Sqrt(dInUp)); |
1693 | dOutUp = aOutUp*aOutUp + bOutUp*bOutUp + cOutUp*cOutUp; | |
d06dbffe | 1694 | if(sym) dOutUp += aOutLow*aOutLow; |
a39e4b2b | 1695 | if(dOutUp > 0) relativeErrorOutUp->SetBinContent(b+1, TMath::Sqrt(dOutUp)); |
1696 | // for the lower bound | |
1697 | if(relativeErrorVariationInLow) aInLow = relativeErrorVariationInLow->GetBinContent(b+1); | |
1698 | if(relativeErrorVariationOutLow) aOutLow = relativeErrorVariationOutLow->GetBinContent(b+1); | |
98d5b614 | 1699 | if(relativeError2ndVariationInLow) bInLow = relativeError2ndVariationInLow->GetBinContent(b+1); |
1700 | if(relativeError2ndVariationOutLow) bOutLow = relativeError2ndVariationOutLow->GetBinContent(b+1); | |
a39e4b2b | 1701 | dInLow = aInLow*aInLow + bInLow*bInLow + cInLow*cInLow; |
7b88bd32 | 1702 | if(sym) dInLow += aInUp*aInUp; |
5159ed9e | 1703 | if(dInLow > 0) relativeErrorInLow->SetBinContent(b+1, -1*TMath::Sqrt(dInLow)); |
a39e4b2b | 1704 | dOutLow = aOutLow*aOutLow + bOutLow*bOutLow + cOutLow*cOutLow; |
d06dbffe | 1705 | if(sym) dOutLow += aOutUp*aOutUp; |
a39e4b2b | 1706 | if(dOutLow > 0) relativeErrorOutLow->SetBinContent(b+1, -1.*TMath::Sqrt(dOutLow)); |
1707 | } | |
1708 | // project the estimated errors on the nominal ratio | |
1709 | if(nominal) { | |
1710 | Double_t* ax = new Double_t[fBinsTrue->GetSize()-1]; | |
1711 | Double_t* ay = new Double_t[fBinsTrue->GetSize()-1]; | |
1712 | Double_t* axh = new Double_t[fBinsTrue->GetSize()-1]; | |
1713 | Double_t* axl = new Double_t[fBinsTrue->GetSize()-1]; | |
1714 | Double_t* ayh = new Double_t[fBinsTrue->GetSize()-1]; | |
1715 | Double_t* ayl = new Double_t[fBinsTrue->GetSize()-1]; | |
1716 | Double_t lowErr(0.), upErr(0.); | |
1717 | for(Int_t i(0); i < fBinsTrue->GetSize()-1; i++) { | |
1718 | // add the in and out of plane errors in quadrature | |
b3b03df7 | 1719 | // propagation is tricky because we should consider two cases: |
1720 | // [1] the error is uncorrelated, and we propagate upper 1 with lower 2 and vice versa | |
1721 | // [2] the error is correlated - in this case upper 1 should be propagated with upper 2 | |
1722 | // as the fluctuations are bound to always to of same sign | |
1723 | if(corr <= 0) { | |
1724 | lowErr = relativeErrorInLow->GetBinContent(i+1)*relativeErrorInLow->GetBinContent(i+1)+relativeErrorOutUp->GetBinContent(1+i)*relativeErrorOutUp->GetBinContent(i+1); | |
1725 | upErr = relativeErrorInUp->GetBinContent(i+1)*relativeErrorInUp->GetBinContent(i+1)+relativeErrorOutLow->GetBinContent(i+1)*relativeErrorOutLow->GetBinContent(i+1); | |
1726 | } else { | |
1727 | lowErr = relativeErrorInLow->GetBinContent(i+1)*relativeErrorInLow->GetBinContent(i+1)+relativeErrorOutLow->GetBinContent(1+i)*relativeErrorOutLow->GetBinContent(i+1) -2.*corr*relativeErrorInLow->GetBinContent(i+1)*relativeErrorOutLow->GetBinContent(i+1); | |
1728 | upErr = relativeErrorInUp->GetBinContent(i+1)*relativeErrorInUp->GetBinContent(i+1)+relativeErrorOutUp->GetBinContent(i+1)*relativeErrorOutUp->GetBinContent(i+1) - 2.*corr*relativeErrorInUp->GetBinContent(i+1)*relativeErrorOutUp->GetBinContent(i+1); | |
1729 | } | |
5159ed9e | 1730 | ayl[i] = TMath::Sqrt(TMath::Abs(lowErr))*nominal->GetBinContent(i+1); |
1731 | ayh[i] = TMath::Sqrt(TMath::Abs(upErr))*nominal->GetBinContent(i+1); | |
a39e4b2b | 1732 | // get the bin width (which is the 'error' on x |
1733 | Double_t binWidth(nominal->GetBinWidth(i+1)); | |
1734 | axl[i] = binWidth/2.; | |
1735 | axh[i] = binWidth/2.; | |
1736 | // now get the coordinate for the point | |
1737 | ax[i] = nominal->GetBinCenter(i+1); | |
1738 | ay[i] = nominal->GetBinContent(i+1); | |
1739 | } | |
1740 | // save the nominal ratio | |
1741 | TGraphAsymmErrors* nominalError(new TGraphAsymmErrors(fBinsTrue->GetSize()-1, ax, ay, axl, axh, ayl, ayh)); | |
1742 | corrRatio = (TGraphAsymmErrors*)nominalError->Clone(); | |
1743 | nominalError->SetName("correlated uncertainty"); | |
1744 | TCanvas* nominalCanvas(new TCanvas("nominalCanvas", "nominalCanvas")); | |
1745 | nominalCanvas->Divide(2); | |
1746 | nominalCanvas->cd(1); | |
1747 | Style(nominal, kBlack); | |
d06dbffe | 1748 | Style(nominalError, kCyan, kRatio); |
1749 | nominalError->SetLineColor(kCyan); | |
1750 | nominalError->SetMarkerColor(kCyan); | |
a39e4b2b | 1751 | nominalError->GetXaxis()->SetRangeUser(rangeLow, rangeUp); |
1752 | nominalError->GetYaxis()->SetRangeUser(.7, 2.2); | |
1753 | nominalError->DrawClone("a2"); | |
1754 | nominal->DrawCopy("same E1"); | |
1755 | Style(AddLegend(gPad)); | |
1756 | Style(gPad, "GRID"); | |
1757 | Style(nominalCanvas); | |
1758 | // save nominal v2 and systematic errors | |
1759 | TGraphAsymmErrors* nominalV2Error(GetV2WithSystematicErrors( | |
1760 | nominalIn, | |
1761 | nominalOut, | |
35c03ef1 | 1762 | fEventPlaneRes, |
5159ed9e | 1763 | "v_{2} with shape uncertainty", |
a39e4b2b | 1764 | relativeErrorInUp, |
1765 | relativeErrorInLow, | |
24005d85 | 1766 | relativeErrorOutUp, |
5159ed9e | 1767 | relativeErrorOutLow, |
1768 | corr)); | |
a39e4b2b | 1769 | // pass the nominal values to the pointer references |
1770 | corrV2 = (TGraphAsymmErrors*)nominalV2Error->Clone(); | |
35c03ef1 | 1771 | TGraphErrors* nominalV2(GetV2(nominalIn, nominalOut, fEventPlaneRes, "v_{2}")); |
a39e4b2b | 1772 | nominalCanvas->cd(2); |
1773 | Style(nominalV2, kBlack); | |
d06dbffe | 1774 | Style(nominalV2Error, kCyan, kV2); |
1775 | nominalV2Error->SetLineColor(kCyan); | |
1776 | nominalV2Error->SetMarkerColor(kCyan); | |
a39e4b2b | 1777 | nominalV2Error->GetXaxis()->SetRangeUser(rangeLow, rangeUp); |
1778 | nominalV2Error->DrawClone("a2"); | |
1779 | nominalV2->DrawClone("same E1"); | |
1780 | Style(AddLegend(gPad)); | |
1781 | Style(gPad, "GRID"); | |
1782 | Style(nominalCanvas); | |
1783 | SavePadToPDF(nominalCanvas); | |
1784 | nominalCanvas->Write(); | |
1785 | } | |
1786 | ||
18698978 | 1787 | TCanvas* relativeError(new TCanvas("relativeCorrelatedError"," relativeCorrelatedError")); |
1788 | relativeError->Divide(2); | |
1789 | relativeError->cd(1); | |
1790 | Style(gPad, "GRID"); | |
1791 | relativeErrorInUp->GetYaxis()->SetRangeUser(-1.5, 3.); | |
1792 | Style(relativeErrorInUp, kBlue, kBar); | |
1793 | Style(relativeErrorInLow, kGreen, kBar); | |
1794 | relativeErrorInUp->DrawCopy("b"); | |
1795 | relativeErrorInLow->DrawCopy("same b"); | |
1796 | Style(relativeStatisticalErrorIn, kRed); | |
1797 | relativeStatisticalErrorIn->DrawCopy("same"); | |
1798 | Style(AddLegend(gPad)); | |
1799 | relativeError->cd(2); | |
1800 | Style(gPad, "GRID"); | |
1801 | relativeErrorOutUp->GetYaxis()->SetRangeUser(-1.5, 3.); | |
1802 | Style(relativeErrorOutUp, kBlue, kBar); | |
1803 | Style(relativeErrorOutLow, kGreen, kBar); | |
1804 | relativeErrorOutUp->DrawCopy("b"); | |
1805 | relativeErrorOutLow->DrawCopy("same b"); | |
1806 | Style(relativeStatisticalErrorOut, kRed); | |
1807 | relativeStatisticalErrorOut->DrawCopy("same"); | |
1808 | Style(AddLegend(gPad)); | |
1809 | ||
1810 | // write the buffered file to disk and close the file | |
1811 | SavePadToPDF(relativeError); | |
1812 | relativeError->Write(); | |
1813 | output->Write(); | |
a39e4b2b | 1814 | // output->Close(); |
18698978 | 1815 | } |
1816 | //_____________________________________________________________________________ | |
1817 | void AliJetFlowTools::GetShapeUncertainty( | |
a39e4b2b | 1818 | TGraphAsymmErrors*& shapeRatio, // pointer reference to final shape uncertainty of ratio |
1819 | TGraphAsymmErrors*& shapeV2, // pointer reference to final shape uncertainty of v2 | |
18698978 | 1820 | TArrayI* regularizationIn, // regularization strength systematics, in plane |
1821 | TArrayI* regularizationOut, // regularization strenght systematics, out of plane | |
1822 | TArrayI* trueBinIn, // true bin ranges, in plane | |
1823 | TArrayI* trueBinOut, // true bin ranges, out of plane | |
1824 | TArrayI* recBinIn, // rec bin ranges, in plane | |
1825 | TArrayI* recBinOut, // rec bin ranges, out of plane | |
b2150106 | 1826 | TArrayI* methodIn, // method in |
1827 | TArrayI* methodOut, // method out | |
18698978 | 1828 | Int_t columns, // divide the output canvasses in this many columns |
1829 | Float_t rangeLow, // lower pt range | |
1830 | Float_t rangeUp, // upper pt range | |
1831 | TString in, // input file name (created by this unfolding class) | |
1832 | TString out // output file name (which will hold results of the systematic test) | |
1833 | ) const | |
1834 | { | |
1835 | // do full systematics | |
1836 | if(fOutputFile && !fOutputFile->IsZombie()) fOutputFile->Close(); // if for some weird reason the unfolding output is still mutable | |
1837 | TFile* readMe(new TFile(in.Data(), "READ")); // open unfolding output read-only | |
1838 | if(readMe->IsZombie()) { | |
1839 | printf(" > Fatal error, couldn't read %s for post processing ! < \n", in.Data()); | |
1840 | return; | |
1841 | } | |
1842 | printf("\n\n\n\t\t DOSYSTEMATICS \n > Recovered the following file structure : \n <"); | |
1843 | readMe->ls(); | |
1844 | TFile* output(new TFile(out.Data(), "RECREATE")); // create new output file | |
1845 | ||
1846 | // create some null placeholder pointers | |
1847 | TH1D* relativeErrorRegularizationInLow(0x0); | |
1848 | TH1D* relativeErrorRegularizationInUp(0x0); | |
1849 | TH1D* relativeErrorTrueBinInLow(0x0); | |
1850 | TH1D* relativeErrorTrueBinInUp(0x0); | |
1851 | TH1D* relativeErrorRecBinInLow(0x0); | |
1852 | TH1D* relativeErrorRecBinInUp(0x0); | |
b2150106 | 1853 | TH1D* relativeErrorMethodInLow(0x0); |
1854 | TH1D* relativeErrorMethodInUp(0x0); | |
18698978 | 1855 | TH1D* relativeErrorRegularizationOutLow(0x0); |
1856 | TH1D* relativeErrorRegularizationOutUp(0x0); | |
1857 | TH1D* relativeErrorTrueBinOutLow(0x0); | |
1858 | TH1D* relativeErrorTrueBinOutUp(0x0); | |
1859 | TH1D* relativeErrorRecBinOutLow(0x0); | |
1860 | TH1D* relativeErrorRecBinOutUp(0x0); | |
1861 | TH1D* relativeStatisticalErrorIn(0x0); | |
1862 | TH1D* relativeStatisticalErrorOut(0x0); | |
b2150106 | 1863 | TH1D* relativeErrorMethodOutLow(0x0); |
1864 | TH1D* relativeErrorMethodOutUp(0x0); | |
a39e4b2b | 1865 | // histo for the nominal ratio in / out |
1866 | TH1D* nominal(new TH1D("ratio in plane, out of plane", "ratio in plane, out of plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1867 | TH1D* nominalIn(new TH1D("in plane jet yield", "in plane jet yield", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
1868 | TH1D* nominalOut(new TH1D("out of plane jet yield", "out of plane jet yield", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
18698978 | 1869 | |
1870 | // call the functions | |
1871 | if(regularizationIn && regularizationOut) { | |
1872 | DoIntermediateSystematics( | |
1873 | regularizationIn, | |
1874 | regularizationOut, | |
1875 | relativeErrorRegularizationInUp, // pointer reference | |
1876 | relativeErrorRegularizationInLow, // pointer reference | |
1877 | relativeErrorRegularizationOutUp, // pointer reference | |
1878 | relativeErrorRegularizationOutLow, // pointer reference | |
1879 | relativeStatisticalErrorIn, // pointer reference | |
1880 | relativeStatisticalErrorOut, // pointer reference | |
a39e4b2b | 1881 | nominal, |
1882 | nominalIn, | |
1883 | nominalOut, | |
18698978 | 1884 | columns, |
1885 | rangeLow, | |
1886 | rangeUp, | |
1887 | readMe, | |
d06dbffe | 1888 | "regularization", |
3e698d27 | 1889 | fRMS); |
18698978 | 1890 | if(relativeErrorRegularizationInUp) { |
1891 | // canvas with the error from regularization strength | |
1892 | TCanvas* relativeErrorRegularization(new TCanvas("relativeErrorRegularization", "relativeErrorRegularization")); | |
1893 | relativeErrorRegularization->Divide(2); | |
1894 | relativeErrorRegularization->cd(1); | |
1895 | Style(gPad, "GRID"); | |
1896 | relativeErrorRegularizationInUp->DrawCopy("b"); | |
1897 | relativeErrorRegularizationInLow->DrawCopy("same b"); | |
1898 | Style(AddLegend(gPad)); | |
1899 | relativeErrorRegularization->cd(2); | |
1900 | Style(gPad, "GRID"); | |
1901 | relativeErrorRegularizationOutUp->DrawCopy("b"); | |
1902 | relativeErrorRegularizationOutLow->DrawCopy("same b"); | |
1903 | SavePadToPDF(relativeErrorRegularization); | |
1904 | Style(AddLegend(gPad)); | |
1905 | relativeErrorRegularization->Write(); | |
1906 | } | |
1907 | } | |
1908 | if(trueBinIn && trueBinOut) { | |
1909 | DoIntermediateSystematics( | |
1910 | trueBinIn, | |
1911 | trueBinOut, | |
1912 | relativeErrorTrueBinInUp, // pointer reference | |
1913 | relativeErrorTrueBinInLow, // pointer reference | |
1914 | relativeErrorTrueBinOutUp, // pointer reference | |
1915 | relativeErrorTrueBinOutLow, // pointer reference | |
1916 | relativeStatisticalErrorIn, | |
1917 | relativeStatisticalErrorOut, | |
a39e4b2b | 1918 | nominal, |
1919 | nominalIn, | |
1920 | nominalOut, | |
18698978 | 1921 | columns, |
1922 | rangeLow, | |
1923 | rangeUp, | |
1924 | readMe, | |
1925 | "trueBin"); | |
1926 | if(relativeErrorTrueBinInUp) { | |
1927 | TCanvas* relativeErrorTrueBin(new TCanvas("relativeErrorTrueBin", "relativeErrorTrueBin")); | |
1928 | relativeErrorTrueBin->Divide(2); | |
1929 | relativeErrorTrueBin->cd(1); | |
1930 | Style(gPad, "GRID"); | |
1931 | relativeErrorTrueBinInUp->DrawCopy("b"); | |
1932 | relativeErrorTrueBinInLow->DrawCopy("same b"); | |
1933 | Style(AddLegend(gPad)); | |
1934 | relativeErrorTrueBin->cd(2); | |
1935 | Style(gPad, "GRID"); | |
1936 | relativeErrorTrueBinOutUp->DrawCopy("b"); | |
1937 | relativeErrorTrueBinOutLow->DrawCopy("same b"); | |
1938 | SavePadToPDF(relativeErrorTrueBin); | |
1939 | Style(AddLegend(gPad)); | |
1940 | relativeErrorTrueBin->Write(); | |
1941 | } | |
1942 | } | |
1943 | if(recBinIn && recBinOut) { | |
1944 | DoIntermediateSystematics( | |
1945 | recBinIn, | |
1946 | recBinOut, | |
24005d85 | 1947 | relativeErrorRecBinInUp, // pointer reference |
1948 | relativeErrorRecBinInLow, // pointer reference | |
1949 | relativeErrorRecBinOutUp, // pointer reference | |
1950 | relativeErrorRecBinOutLow, // pointer reference | |
18698978 | 1951 | relativeStatisticalErrorIn, |
1952 | relativeStatisticalErrorOut, | |
a39e4b2b | 1953 | nominal, |
1954 | nominalIn, | |
1955 | nominalOut, | |
18698978 | 1956 | columns, |
1957 | rangeLow, | |
1958 | rangeUp, | |
1959 | readMe, | |
1960 | "recBin"); | |
1961 | if(relativeErrorRecBinOutUp) { | |
1962 | // canvas with the error from regularization strength | |
1963 | TCanvas* relativeErrorRecBin(new TCanvas("relativeErrorRecBin"," relativeErrorRecBin")); | |
1964 | relativeErrorRecBin->Divide(2); | |
1965 | relativeErrorRecBin->cd(1); | |
1966 | Style(gPad, "GRID"); | |
1967 | relativeErrorRecBinInUp->DrawCopy("b"); | |
1968 | relativeErrorRecBinInLow->DrawCopy("same b"); | |
1969 | Style(AddLegend(gPad)); | |
1970 | relativeErrorRecBin->cd(2); | |
1971 | Style(gPad, "GRID"); | |
1972 | relativeErrorRecBinOutUp->DrawCopy("b"); | |
1973 | relativeErrorRecBinOutLow->DrawCopy("same b"); | |
1974 | SavePadToPDF(relativeErrorRecBin); | |
1975 | Style(AddLegend(gPad)); | |
1976 | relativeErrorRecBin->Write(); | |
1977 | } | |
1978 | } | |
b2150106 | 1979 | if(methodIn && methodOut) { |
1980 | DoIntermediateSystematics( | |
1981 | methodIn, | |
1982 | methodOut, | |
1983 | relativeErrorMethodInUp, // pointer reference | |
1984 | relativeErrorMethodInLow, // pointer reference | |
1985 | relativeErrorMethodOutUp, // pointer reference | |
1986 | relativeErrorMethodOutLow, // pointer reference | |
1987 | relativeStatisticalErrorIn, | |
1988 | relativeStatisticalErrorOut, | |
1989 | nominal, | |
1990 | nominalIn, | |
1991 | nominalOut, | |
1992 | columns, | |
1993 | rangeLow, | |
1994 | rangeUp, | |
1995 | readMe, | |
db02017e | 1996 | "method" |
1997 | ); | |
b2150106 | 1998 | if(relativeErrorMethodInUp) { |
1999 | TCanvas* relativeErrorMethod(new TCanvas("relativeErrorMethod", "relativeErrorMethod")); | |
2000 | relativeErrorMethod->Divide(2); | |
2001 | relativeErrorMethod->cd(1); | |
2002 | Style(gPad, "GRID"); | |
2003 | relativeErrorMethodInUp->DrawCopy("b"); | |
2004 | relativeErrorMethodInLow->DrawCopy("same b"); | |
2005 | Style(AddLegend(gPad)); | |
2006 | relativeErrorMethod->cd(2); | |
2007 | Style(gPad, "GRID"); | |
2008 | relativeErrorMethodOutUp->DrawCopy("b"); | |
2009 | relativeErrorMethodOutLow->DrawCopy("same b"); | |
2010 | SavePadToPDF(relativeErrorMethod); | |
2011 | Style(AddLegend(gPad)); | |
2012 | relativeErrorMethod->Write(); | |
2013 | } | |
2014 | } | |
18698978 | 2015 | |
2016 | // and the placeholder for the final systematic | |
2017 | TH1D* relativeErrorInUp(new TH1D("max shape uncertainty in plane", "max shape uncertainty in plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
2018 | TH1D* relativeErrorOutUp(new TH1D("max shape uncertainty out of plane", "max shape uncertainty out of plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
2019 | TH1D* relativeErrorInLow(new TH1D("min shape uncertainty in plane", "min shape uncertainty in plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
2020 | TH1D* relativeErrorOutLow(new TH1D("min shape uncertainty out of plane", "min shape uncertainty out of plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
2021 | relativeErrorInUp->SetYTitle("relative uncertainty"); | |
2022 | relativeErrorOutUp->SetYTitle("relative uncertainty"); | |
2023 | relativeErrorInLow->SetYTitle("relative uncertainty"); | |
2024 | relativeErrorOutLow->SetYTitle("relative uncertainty"); | |
2025 | ||
2026 | // sum of squares for the total systematic error | |
b2150106 | 2027 | Double_t aInUp(0.), bInUp(0.), cInUp(0.), dInUp(0.), eInUp(0.); |
2028 | Double_t aOutUp(0.), bOutUp(0.), cOutUp(0.), dOutUp(0.), eOutUp(0.); | |
2029 | Double_t aInLow(0.), bInLow(0.), cInLow(0.), dInLow(0.), eInLow(0.); | |
2030 | Double_t aOutLow(0.), bOutLow(0.), cOutLow(0.), dOutLow(0.), eOutLow(0.); | |
18698978 | 2031 | |
2032 | for(Int_t b(0); b < fBinsTrue->GetSize()-1; b++) { | |
2033 | // for the upper bound | |
2034 | if(relativeErrorRegularizationInUp) aInUp = relativeErrorRegularizationInUp->GetBinContent(b+1); | |
2035 | if(relativeErrorRegularizationOutUp) aOutUp = relativeErrorRegularizationOutUp->GetBinContent(b+1); | |
2036 | if(relativeErrorTrueBinInUp) bInUp = relativeErrorTrueBinInUp->GetBinContent(b+1); | |
2037 | if(relativeErrorTrueBinOutUp) bOutUp = relativeErrorTrueBinOutUp->GetBinContent(b+1); | |
2038 | if(relativeErrorRecBinInUp) cInUp = relativeErrorRecBinInUp->GetBinContent(b+1); | |
2039 | if(relativeErrorRecBinOutUp) cOutUp = relativeErrorRecBinOutUp->GetBinContent(b+1); | |
b2150106 | 2040 | if(relativeErrorMethodInUp) dInUp = relativeErrorMethodInUp->GetBinContent(b+1); |
2041 | if(relativeErrorMethodOutUp) dOutUp = relativeErrorMethodOutUp->GetBinContent(b+1); | |
2042 | eInUp = aInUp*aInUp + bInUp*bInUp + cInUp*cInUp + dInUp*dInUp; | |
2043 | if(eInUp > 0) relativeErrorInUp->SetBinContent(b+1, 1.*TMath::Sqrt(eInUp)); | |
2044 | eOutUp = aOutUp*aOutUp + bOutUp*bOutUp + cOutUp*cOutUp + dOutUp*dOutUp; | |
2045 | if(eOutUp > 0) relativeErrorOutUp->SetBinContent(b+1, 1.*TMath::Sqrt(eOutUp)); | |
18698978 | 2046 | // for the lower bound |
2047 | if(relativeErrorRegularizationInLow) aInLow = relativeErrorRegularizationInLow->GetBinContent(b+1); | |
2048 | if(relativeErrorRegularizationOutLow) aOutLow = relativeErrorRegularizationOutLow->GetBinContent(b+1); | |
2049 | if(relativeErrorTrueBinInLow) bInLow = relativeErrorTrueBinInLow->GetBinContent(b+1); | |
2050 | if(relativeErrorTrueBinOutLow) bOutLow = relativeErrorTrueBinOutLow->GetBinContent(b+1); | |
2051 | if(relativeErrorRecBinInLow) cInLow = relativeErrorRecBinInLow->GetBinContent(b+1); | |
2052 | if(relativeErrorRecBinOutLow) cOutLow = relativeErrorRecBinOutLow->GetBinContent(b+1); | |
b2150106 | 2053 | if(relativeErrorMethodInLow) dInLow = relativeErrorMethodInLow->GetBinContent(b+1); |
2054 | if(relativeErrorMethodOutLow) dOutLow = relativeErrorMethodOutLow->GetBinContent(b+1); | |
db02017e | 2055 | if(fSymmRMS) { // take first category as symmetric |
2056 | aInLow = aInUp*1.5; | |
2057 | aOutLow = aOutUp*1.5; | |
2058 | if(dInLow < dInUp) dInLow = dInUp; | |
2059 | if(dOutLow < dOutUp) dOutLow = dOutUp; | |
2060 | } | |
2061 | ||
b2150106 | 2062 | eInLow = aInLow*aInLow + bInLow*bInLow + cInLow*cInLow + dInLow*dInLow; |
2063 | if(eInLow > 0) relativeErrorInLow->SetBinContent(b+1, -1.*TMath::Sqrt(eInLow)); | |
2064 | eOutLow = aOutLow*aOutLow + bOutLow*bOutLow + cOutLow*cOutLow + dOutLow*dOutLow; | |
2065 | if(eOutLow > 0) relativeErrorOutLow->SetBinContent(b+1, -1.*TMath::Sqrt(eOutLow)); | |
18698978 | 2066 | } |
a39e4b2b | 2067 | // project the estimated errors on the nominal ratio |
2068 | if(nominal) { | |
2069 | Double_t* ax = new Double_t[fBinsTrue->GetSize()-1]; | |
2070 | Double_t* ay = new Double_t[fBinsTrue->GetSize()-1]; | |
2071 | Double_t* axh = new Double_t[fBinsTrue->GetSize()-1]; | |
2072 | Double_t* axl = new Double_t[fBinsTrue->GetSize()-1]; | |
2073 | Double_t* ayh = new Double_t[fBinsTrue->GetSize()-1]; | |
2074 | Double_t* ayl = new Double_t[fBinsTrue->GetSize()-1]; | |
2075 | Double_t lowErr(0.), upErr(0.); | |
2076 | for(Int_t i(0); i < fBinsTrue->GetSize()-1; i++) { | |
2077 | // add the in and out of plane errors in quadrature | |
24005d85 | 2078 | // take special care here: to propagate the assymetric error, we need to correlate the |
2079 | // InLow with OutUp (minimum value of ratio) and InUp with OutLow (maximum value of ratio) | |
2080 | lowErr = relativeErrorInLow->GetBinContent(i+1)*relativeErrorInLow->GetBinContent(i+1)+relativeErrorOutUp->GetBinContent(1+i)*relativeErrorOutUp->GetBinContent(i+1); | |
2081 | upErr = relativeErrorInUp->GetBinContent(i+1)*relativeErrorInUp->GetBinContent(i+1)+relativeErrorOutLow->GetBinContent(i+1)*relativeErrorOutLow->GetBinContent(i+1); | |
a39e4b2b | 2082 | // set the errors |
2083 | ayl[i] = TMath::Sqrt(lowErr)*nominal->GetBinContent(i+1); | |
2084 | ayh[i] = TMath::Sqrt(upErr)*nominal->GetBinContent(i+1); | |
2085 | // get the bin width (which is the 'error' on x | |
2086 | Double_t binWidth(nominal->GetBinWidth(i+1)); | |
2087 | axl[i] = binWidth/2.; | |
2088 | axh[i] = binWidth/2.; | |
2089 | // now get the coordinate for the point | |
2090 | ax[i] = nominal->GetBinCenter(i+1); | |
2091 | ay[i] = nominal->GetBinContent(i+1); | |
2092 | } | |
2093 | // save the nominal ratio | |
2094 | TGraphAsymmErrors* nominalError(new TGraphAsymmErrors(fBinsTrue->GetSize()-1, ax, ay, axl, axh, ayl, ayh)); | |
2095 | shapeRatio = (TGraphAsymmErrors*)nominalError->Clone(); | |
2096 | nominalError->SetName("shape uncertainty"); | |
2097 | TCanvas* nominalCanvas(new TCanvas("nominalCanvas", "nominalCanvas")); | |
2098 | nominalCanvas->Divide(2); | |
2099 | nominalCanvas->cd(1); | |
2100 | Style(nominal, kBlack); | |
d06dbffe | 2101 | Style(nominalError, kCyan, kRatio); |
2102 | nominalError->SetLineColor(kCyan); | |
2103 | nominalError->SetMarkerColor(kCyan); | |
a39e4b2b | 2104 | nominalError->GetXaxis()->SetRangeUser(rangeLow, rangeUp); |
2105 | nominalError->GetYaxis()->SetRangeUser(.7, 2.2); | |
2106 | nominalError->DrawClone("a2"); | |
2107 | nominal->DrawCopy("same E1"); | |
2108 | Style(AddLegend(gPad)); | |
2109 | Style(gPad, "GRID"); | |
2110 | Style(nominalCanvas); | |
2111 | // save nominal v2 and systematic errors | |
2112 | TGraphAsymmErrors* nominalV2Error(GetV2WithSystematicErrors( | |
2113 | nominalIn, | |
2114 | nominalOut, | |
35c03ef1 | 2115 | fEventPlaneRes, |
a39e4b2b | 2116 | "v_{2} with shape uncertainty", |
2117 | relativeErrorInUp, | |
2118 | relativeErrorInLow, | |
2119 | relativeErrorOutUp, | |
2120 | relativeErrorOutLow)); | |
2121 | shapeV2 = (TGraphAsymmErrors*)nominalV2Error->Clone(); | |
35c03ef1 | 2122 | TGraphErrors* nominalV2(GetV2(nominalIn, nominalOut, fEventPlaneRes, "v_{2}")); |
a39e4b2b | 2123 | nominalCanvas->cd(2); |
2124 | Style(nominalV2, kBlack); | |
d06dbffe | 2125 | Style(nominalV2Error, kCyan, kV2); |
2126 | nominalV2Error->SetLineColor(kCyan); | |
2127 | nominalV2Error->SetMarkerColor(kCyan); | |
a39e4b2b | 2128 | nominalV2Error->GetXaxis()->SetRangeUser(rangeLow, rangeUp); |
2129 | nominalV2Error->DrawClone("a2"); | |
2130 | nominalV2->DrawClone("same E1"); | |
2131 | Style(AddLegend(gPad)); | |
2132 | Style(gPad, "GRID"); | |
2133 | Style(nominalCanvas); | |
2134 | SavePadToPDF(nominalCanvas); | |
2135 | nominalCanvas->Write(); | |
2136 | } | |
2137 | ||
18698978 | 2138 | TCanvas* relativeError(new TCanvas("relativeError"," relativeError")); |
2139 | relativeError->Divide(2); | |
2140 | relativeError->cd(1); | |
2141 | Style(gPad, "GRID"); | |
2142 | relativeErrorInUp->GetYaxis()->SetRangeUser(-1.5, 3.); | |
2143 | Style(relativeErrorInUp, kBlue, kBar); | |
2144 | Style(relativeErrorInLow, kGreen, kBar); | |
2145 | relativeErrorInUp->DrawCopy("b"); | |
2146 | relativeErrorInLow->DrawCopy("same b"); | |
2147 | Style(relativeStatisticalErrorIn, kRed); | |
2148 | relativeStatisticalErrorIn->DrawCopy("same"); | |
2149 | Style(AddLegend(gPad)); | |
2150 | relativeError->cd(2); | |
2151 | Style(gPad, "GRID"); | |
2152 | relativeErrorOutUp->GetYaxis()->SetRangeUser(-1.5, 3.); | |
2153 | Style(relativeErrorOutUp, kBlue, kBar); | |
2154 | Style(relativeErrorOutLow, kGreen, kBar); | |
2155 | relativeErrorOutUp->DrawCopy("b"); | |
2156 | relativeErrorOutLow->DrawCopy("same b"); | |
2157 | Style(relativeStatisticalErrorOut, kRed); | |
2158 | relativeStatisticalErrorOut->DrawCopy("same"); | |
2159 | Style(AddLegend(gPad)); | |
2160 | ||
2161 | // write the buffered file to disk and close the file | |
2162 | SavePadToPDF(relativeError); | |
2163 | relativeError->Write(); | |
2164 | output->Write(); | |
a39e4b2b | 2165 | // output->Close(); |
18698978 | 2166 | } |
2167 | //_____________________________________________________________________________ | |
a39e4b2b | 2168 | void AliJetFlowTools::DoIntermediateSystematics( |
2169 | TArrayI* variationsIn, // variantions in plane | |
2170 | TArrayI* variationsOut, // variantions out of plane | |
2171 | TH1D*& relativeErrorInUp, // pointer reference to minimum relative error histogram in plane | |
2172 | TH1D*& relativeErrorInLow, // pointer reference to maximum relative error histogram in plane | |
2173 | TH1D*& relativeErrorOutUp, // pointer reference to minimum relative error histogram out of plane | |
2174 | TH1D*& relativeErrorOutLow, // pointer reference to maximum relative error histogram out of plane | |
2175 | TH1D*& relativeStatisticalErrorIn, // relative systematic error on ratio | |
2176 | TH1D*& relativeStatisticalErrorOut, // relative systematic error on ratio | |
2177 | TH1D*& nominal, // clone of the nominal ratio in / out of plane | |
2178 | TH1D*& nominalIn, // clone of the nominal in plane yield | |
2179 | TH1D*& nominalOut, // clone of the nominal out of plane yield | |
2180 | Int_t columns, // divide the output canvasses in this many columns | |
2181 | Float_t rangeLow, // lower pt range | |
2182 | Float_t rangeUp, // upper pt range | |
2183 | TFile* readMe, // input file name (created by this unfolding class) | |
d06dbffe | 2184 | TString source, // source of the variation |
2185 | Bool_t RMS // return RMS of distribution of variations as error | |
a39e4b2b | 2186 | ) const |
18698978 | 2187 | { |
2188 | // intermediate systematic check function. first index of supplied array is nominal value | |
18698978 | 2189 | TList* listOfKeys((TList*)readMe->GetListOfKeys()); |
f3ba6c8e | 2190 | if(!listOfKeys) { |
2191 | printf(" > Fatal error, couldn't retrieve list of keys. Input file might have been corrupted ! < \n"); | |
2192 | return; | |
2193 | } | |
2194 | // check input params | |
2195 | if(variationsIn->GetSize() != variationsOut->GetSize()) { | |
2196 | printf(" > DoSystematics: fatal error, input arrays have different sizes ! < \n "); | |
2197 | return; | |
2198 | } | |
18698978 | 2199 | TDirectoryFile* defRootDirIn(dynamic_cast<TDirectoryFile*>(readMe->Get(listOfKeys->At(variationsIn->At(0))->GetName()))); |
2200 | TDirectoryFile* defRootDirOut(dynamic_cast<TDirectoryFile*>(readMe->Get(listOfKeys->At(variationsOut->At(0))->GetName()))); | |
f3ba6c8e | 2201 | if(!(defRootDirIn && defRootDirOut)) { |
2202 | printf(" > DoSystematics: fatal error, couldn't retrieve nominal values ! < \n "); | |
2203 | return; | |
2204 | } | |
2205 | TString defIn(defRootDirIn->GetName()); | |
2206 | TString defOut(defRootDirOut->GetName()); | |
18698978 | 2207 | |
2208 | // define lines to make the output prettier | |
2209 | TLine* lineLow(new TLine(rangeLow, 0., rangeLow, 2.)); | |
2210 | TLine* lineUp(new TLine(rangeUp, 0., rangeUp, 2.)); | |
2211 | lineLow->SetLineColor(11); | |
2212 | lineUp->SetLineColor(11); | |
2213 | lineLow->SetLineWidth(3); | |
2214 | lineUp->SetLineWidth(3); | |
2215 | ||
2216 | // define an output histogram with the maximum relative error from this systematic constribution | |
d06dbffe | 2217 | // if the option RMS is set to false, sigma is not really a standard deviation but holds the maximum (or minimum) relative value that the data has |
2218 | // reached in this function call. | |
2219 | // if the option RMS is set to true, sigma holds the RMS value (equal to sigma as the mean is zero for relative errors) of the distribution of variations | |
2220 | // which should correspond to a 68% confidence level | |
18698978 | 2221 | relativeErrorInUp = new TH1D(Form("max #sigma/|x| from %s", source.Data()), Form("max #sigma/|x| from %s", source.Data()), fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); |
2222 | relativeErrorInLow = new TH1D(Form("min #sigma/|x| from %s", source.Data()), Form("min #sigma/|x| from %s", source.Data()), fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
2223 | relativeErrorOutUp = new TH1D(Form("max #sigma/|x| from %s", source.Data()), Form("max #sigma/|x| from %s", source.Data()), fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
2224 | relativeErrorOutLow = new TH1D(Form("min #sigma/|x| from %s", source.Data()), Form("min #sigma/|x| from %s", source.Data()), fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
2225 | for(Int_t b(0); b < fBinsTrue->GetSize()-1; b++) { | |
3e698d27 | 2226 | if(!RMS) { |
2227 | relativeErrorInUp->SetBinContent(b+1, 1.); | |
2228 | relativeErrorInUp->SetBinError(b+1, 0.); | |
2229 | relativeErrorOutUp->SetBinContent(b+1, 1.); | |
2230 | relativeErrorOutUp->SetBinError(b+1, .0); | |
2231 | relativeErrorInLow->SetBinContent(b+1, 1.); | |
2232 | relativeErrorInLow->SetBinError(b+1, 0.); | |
2233 | relativeErrorOutLow->SetBinContent(b+1, 1.); | |
2234 | relativeErrorOutLow->SetBinError(b+1, .0); | |
2235 | } else if(RMS) { | |
2236 | relativeErrorInUp->SetBinContent(b+1, 0.); | |
2237 | relativeErrorInUp->SetBinError(b+1, 0.); | |
2238 | relativeErrorOutUp->SetBinContent(b+1, 0.); | |
2239 | relativeErrorOutUp->SetBinError(b+1, 0.); | |
2240 | relativeErrorInLow->SetBinContent(b+1, 0.); | |
2241 | relativeErrorInLow->SetBinError(b+1, 0.); | |
2242 | relativeErrorOutLow->SetBinContent(b+1, 0.); | |
2243 | relativeErrorOutLow->SetBinError(b+1, 0.); | |
2244 | } | |
18698978 | 2245 | } |
3e698d27 | 2246 | Int_t relativeErrorInUpN[100] = {0}; |
2247 | Int_t relativeErrorOutUpN[100] = {0}; | |
2248 | Int_t relativeErrorInLowN[100] = {0}; | |
2249 | Int_t relativeErrorOutLowN[100] = {0}; | |
2250 | ||
18698978 | 2251 | // define an output histogram with the systematic error from this systematic constribution |
2252 | if(!relativeStatisticalErrorIn && !relativeStatisticalErrorOut) { | |
2253 | relativeStatisticalErrorIn = new TH1D("relative statistical error, in plane", "#sigma/|x|, statistical, in plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
2254 | relativeStatisticalErrorOut = new TH1D("relative statistical error, out of plane", "#sigma/|x|, statistical, out of plane", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
2255 | } | |
2256 | ||
f3ba6c8e | 2257 | // prepare necessary canvasses |
18698978 | 2258 | TCanvas* canvasIn(new TCanvas(Form("SYST_%s_PearsonIn", source.Data()), Form("SYST_%s_PearsonIn", source.Data()))); |
f3ba6c8e | 2259 | TCanvas* canvasOut(0x0); |
18698978 | 2260 | if(fDphiUnfolding) canvasOut = new TCanvas(Form("SYST_%s_PearsonOut", source.Data()), Form("SYST_%s_PearsonOut", source.Data())); |
2261 | TCanvas* canvasRatioMeasuredRefoldedIn(new TCanvas(Form("SYST_%s_RefoldedIn", source.Data()), Form("SYST_%s_RefoldedIn", source.Data()))); | |
f3ba6c8e | 2262 | TCanvas* canvasRatioMeasuredRefoldedOut(0x0); |
18698978 | 2263 | if(fDphiUnfolding) canvasRatioMeasuredRefoldedOut = new TCanvas(Form("SYST_%s_RefoldedOut", source.Data()), Form("SYST_%s_RefoldedOut", source.Data())); |
2264 | TCanvas* canvasSpectraIn(new TCanvas(Form("SYST_%s_SpectraIn", source.Data()), Form("SYST_%s_SpectraIn", source.Data()))); | |
f3ba6c8e | 2265 | TCanvas* canvasSpectraOut(0x0); |
18698978 | 2266 | if(fDphiUnfolding) canvasSpectraOut = new TCanvas(Form("SYST_%s_SpectraOut", source.Data()), Form("SYST_%s_SpectraOut", source.Data())); |
f3ba6c8e | 2267 | TCanvas* canvasRatio(0x0); |
18698978 | 2268 | if(fDphiUnfolding) canvasRatio = new TCanvas(Form("SYST_%s_Ratio", source.Data()), Form("SYST_%s_Ratio", source.Data())); |
f3ba6c8e | 2269 | TCanvas* canvasV2(0x0); |
18698978 | 2270 | if(fDphiUnfolding) canvasV2 = new TCanvas(Form("SYST_%s_V2", source.Data()), Form("SYST_%s_V2", source.Data())); |
2271 | TCanvas* canvasMISC(new TCanvas(Form("SYST_%s_MISC", source.Data()), Form("SYST_%s_MISC", source.Data()))); | |
2272 | TCanvas* canvasMasterIn(new TCanvas(Form("SYST_%s_defaultIn", source.Data()), Form("SYST_%s_defaultIn", source.Data()))); | |
f3ba6c8e | 2273 | TCanvas* canvasMasterOut(0x0); |
18698978 | 2274 | if(fDphiUnfolding) canvasMasterOut = new TCanvas(Form("SYST_%s_defaultOut", source.Data()), Form("SYST_%s_defaultOut", source.Data())); |
f3ba6c8e | 2275 | (fDphiUnfolding) ? canvasMISC->Divide(4, 2) : canvasMISC->Divide(4, 1); |
a39e4b2b | 2276 | |
18698978 | 2277 | TCanvas* canvasProfiles(new TCanvas(Form("SYST_%s_canvasProfiles", source.Data()), Form("SYST_%s_canvasProfiles", source.Data()))); |
f3ba6c8e | 2278 | canvasProfiles->Divide(2); |
18698978 | 2279 | TProfile* ratioProfile(new TProfile(Form("SYST_%s_ratioProfile", source.Data()), Form("SYST_%s_ratioProfile", source.Data()), fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); |
2280 | TProfile* v2Profile(new TProfile(Form("SYST_%s_v2Profile", source.Data()), Form("SYST_%s_v2Profile", source.Data()),fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
f3ba6c8e | 2281 | // get an estimate of the number of outputs and find the default set |
5c636e0d | 2282 | |
2283 | Int_t rows = 1; | |
2284 | columns = variationsIn->GetSize()-1; | |
2285 | (TMath::Floor(variationsIn->GetSize()/(float)columns)+((variationsIn->GetSize()%columns)>0)); | |
f3ba6c8e | 2286 | canvasIn->Divide(columns, rows); |
2287 | if(canvasOut) canvasOut->Divide(columns, rows); | |
2288 | canvasRatioMeasuredRefoldedIn->Divide(columns, rows); | |
2289 | if(canvasRatioMeasuredRefoldedOut) canvasRatioMeasuredRefoldedOut->Divide(columns, rows); | |
2290 | canvasSpectraIn->Divide(columns, rows); | |
2291 | if(canvasSpectraOut) canvasSpectraOut->Divide(columns, rows); | |
2292 | if(canvasRatio) canvasRatio->Divide(columns, rows); | |
2293 | if(canvasV2) canvasV2->Divide(columns, rows); | |
2294 | canvasMasterIn->Divide(columns, rows); | |
2295 | if(canvasMasterOut) canvasMasterOut->Divide(columns, rows); | |
2296 | ||
2297 | // prepare a separate set of canvases to hold the nominal points | |
18698978 | 2298 | TCanvas* canvasNominalIn(new TCanvas(Form("Nominal_%s_PearsonIn", source.Data()), Form("Nominal_%s_PearsonIn", source.Data()))); |
f3ba6c8e | 2299 | TCanvas* canvasNominalOut(0x0); |
18698978 | 2300 | if(fDphiUnfolding) canvasNominalOut = new TCanvas(Form("Nominal_%s_PearsonOut", source.Data()), Form("Nominal_%s_PearsonOut", source.Data())); |
2301 | TCanvas* canvasNominalRatioMeasuredRefoldedIn(new TCanvas(Form("Nominal_%s_RefoldedIn", source.Data()), Form("Nominal_%s_RefoldedIn", source.Data()))); | |
f3ba6c8e | 2302 | TCanvas* canvasNominalRatioMeasuredRefoldedOut(0x0); |
18698978 | 2303 | if(fDphiUnfolding) canvasNominalRatioMeasuredRefoldedOut = new TCanvas(Form("Nominal_%s_RefoldedOut", source.Data()), Form("Nominal_%s_RefoldedOut", source.Data())); |
2304 | TCanvas* canvasNominalSpectraIn(new TCanvas(Form("Nominal_%s_SpectraIn", source.Data()), Form("Nominal_%s_SpectraIn", source.Data()))); | |
f3ba6c8e | 2305 | TCanvas* canvasNominalSpectraOut(0x0); |
18698978 | 2306 | if(fDphiUnfolding) canvasNominalSpectraOut = new TCanvas(Form("Nominal_%s_SpectraOut", source.Data()), Form("Nominal_%s_SpectraOut", source.Data())); |
f3ba6c8e | 2307 | TCanvas* canvasNominalRatio(0x0); |
18698978 | 2308 | if(fDphiUnfolding) canvasNominalRatio = new TCanvas(Form("Nominal_%s_Ratio", source.Data()), Form("Nominal_%s_Ratio", source.Data())); |
f3ba6c8e | 2309 | TCanvas* canvasNominalV2(0x0); |
18698978 | 2310 | if(fDphiUnfolding) canvasNominalV2 = new TCanvas(Form("Nominal_%s_V2", source.Data()), Form("Nominal_%s_V2", source.Data())); |
2311 | TCanvas* canvasNominalMISC(new TCanvas(Form("Nominal_%s_MISC", source.Data()), Form("Nominal_%s_MISC", source.Data()))); | |
2312 | TCanvas* canvasNominalMasterIn(new TCanvas(Form("Nominal_%s_defaultIn", source.Data()), Form("Nominal_%s_defaultIn", source.Data()))); | |
f3ba6c8e | 2313 | TCanvas* canvasNominalMasterOut(0x0); |
18698978 | 2314 | if(fDphiUnfolding) canvasNominalMasterOut = new TCanvas(Form("Nominal_%s_defaultOut", source.Data()), Form("Nominal_%s_defaultOut", source.Data())); |
f3ba6c8e | 2315 | (fDphiUnfolding) ? canvasNominalMISC->Divide(4, 2) : canvasNominalMISC->Divide(4, 1); |
18698978 | 2316 | |
2317 | canvasNominalSpectraIn->Divide(2); | |
2318 | if(canvasNominalSpectraOut) canvasNominalSpectraOut->Divide(2); | |
2319 | ||
2320 | canvasNominalMasterIn->Divide(2); | |
2321 | if(canvasNominalMasterOut) canvasNominalMasterOut->Divide(2); | |
f3ba6c8e | 2322 | |
2323 | // extract the default output | |
2324 | TH1D* defaultUnfoldedJetSpectrumIn(0x0); | |
2325 | TH1D* defaultUnfoldedJetSpectrumOut(0x0); | |
2326 | TDirectoryFile* defDirIn = (TDirectoryFile*)defRootDirIn->Get(Form("InPlane___%s", defIn.Data())); | |
2327 | TDirectoryFile* defDirOut = (TDirectoryFile*)defRootDirOut->Get(Form("OutOfPlane___%s", defOut.Data())); | |
2328 | if(defDirIn) defaultUnfoldedJetSpectrumIn = (TH1D*)defDirIn->Get(Form("UnfoldedSpectrum_in_%s", defIn.Data())); | |
2329 | if(defDirOut) defaultUnfoldedJetSpectrumOut = (TH1D*)defDirOut->Get(Form("UnfoldedSpectrum_out_%s", defOut.Data())); | |
2330 | printf(" > succesfully extracted default results < \n"); | |
a39e4b2b | 2331 | |
f3ba6c8e | 2332 | // loop through the directories, only plot the graphs if the deconvolution converged |
2333 | TDirectoryFile* tempDirIn(0x0); | |
2334 | TDirectoryFile* tempDirOut(0x0); | |
2335 | TDirectoryFile* tempIn(0x0); | |
2336 | TDirectoryFile* tempOut(0x0); | |
2337 | TH1D* unfoldedSpectrumInForRatio(0x0); | |
2338 | TH1D* unfoldedSpectrumOutForRatio(0x0); | |
2339 | for(Int_t i(0), j(-1); i < variationsIn->GetSize(); i++) { | |
18698978 | 2340 | tempDirIn = (dynamic_cast<TDirectoryFile*>(readMe->Get(listOfKeys->At(variationsIn->At(i))->GetName()))); |
2341 | tempDirOut = (dynamic_cast<TDirectoryFile*>(readMe->Get(listOfKeys->At(variationsOut->At(i))->GetName()))); | |
f3ba6c8e | 2342 | if(!(tempDirIn && tempDirOut)) { |
2343 | printf(" > DoSystematics: couldn't get a set of variations < \n"); | |
2344 | continue; | |
2345 | } | |
2346 | TString dirNameIn(tempDirIn->GetName()); | |
2347 | TString dirNameOut(tempDirOut->GetName()); | |
2348 | // try to read the in- and out of plane subdirs | |
2349 | tempIn = (TDirectoryFile*)tempDirIn->Get(Form("InPlane___%s", dirNameIn.Data())); | |
2350 | tempOut = (TDirectoryFile*)tempDirOut->Get(Form("OutOfPlane___%s", dirNameOut.Data())); | |
2351 | j++; | |
2352 | if(tempIn) { | |
2353 | // to see if the unfolding converged try to extract the pearson coefficients | |
2354 | TH2D* pIn((TH2D*)tempIn->Get(Form("PearsonCoefficients_in_%s", dirNameIn.Data()))); | |
2355 | if(pIn) { | |
2356 | printf(" - %s in plane converged \n", dirNameIn.Data()); | |
2357 | canvasIn->cd(j); | |
2358 | if(i==0) canvasNominalIn->cd(j); | |
2359 | Style(gPad, "PEARSON"); | |
2360 | pIn->DrawCopy("colz"); | |
2361 | TGraphErrors* rIn((TGraphErrors*)tempIn->Get(Form("RatioRefoldedMeasured_%s", dirNameIn.Data()))); | |
2362 | if(rIn) { | |
2363 | Style(rIn); | |
2364 | printf(" > found RatioRefoldedMeasured < \n"); | |
2365 | canvasRatioMeasuredRefoldedIn->cd(j); | |
2366 | if(i==0) canvasNominalRatioMeasuredRefoldedIn->cd(j); | |
18698978 | 2367 | Style(gPad, "GRID"); |
f3ba6c8e | 2368 | rIn->SetFillColor(kRed); |
2369 | rIn->Draw("ap"); | |
2370 | } | |
2371 | TH1D* dvector((TH1D*)tempIn->Get("dVector")); | |
2372 | TH1D* avalue((TH1D*)tempIn->Get("SingularValuesOfAC")); | |
2373 | TH2D* rm((TH2D*)tempIn->Get(Form("ResponseMatrixIn_%s", dirNameIn.Data()))); | |
2374 | TH1D* eff((TH1D*)tempIn->Get(Form("KinematicEfficiencyIn_%s", dirNameIn.Data()))); | |
2375 | if(dvector && avalue && rm && eff) { | |
2376 | Style(dvector); | |
2377 | Style(avalue); | |
2378 | Style(rm); | |
2379 | Style(eff); | |
2380 | canvasMISC->cd(1); | |
2381 | if(i==0) canvasNominalMISC->cd(1); | |
2382 | Style(gPad, "SPECTRUM"); | |
2383 | dvector->DrawCopy(); | |
2384 | canvasMISC->cd(2); | |
2385 | if(i==0) canvasNominalMISC->cd(2); | |
2386 | Style(gPad, "SPECTRUM"); | |
2387 | avalue->DrawCopy(); | |
2388 | canvasMISC->cd(3); | |
2389 | if(i==0) canvasNominalMISC->cd(3); | |
2390 | Style(gPad, "PEARSON"); | |
2391 | rm->DrawCopy("colz"); | |
2392 | canvasMISC->cd(4); | |
2393 | if(i==0) canvasNominalMISC->cd(4); | |
2835b296 | 2394 | Style(gPad, "GRID"); |
f3ba6c8e | 2395 | eff->DrawCopy(); |
2396 | } else if(rm && eff) { | |
2397 | Style(rm); | |
2398 | Style(eff); | |
2399 | canvasMISC->cd(3); | |
2400 | if(i==0) canvasNominalMISC->cd(3); | |
2401 | Style(gPad, "PEARSON"); | |
2402 | rm->DrawCopy("colz"); | |
2403 | canvasMISC->cd(4); | |
2404 | if(i==0) canvasNominalMISC->cd(4); | |
2835b296 | 2405 | Style(gPad, "GRID"); |
f3ba6c8e | 2406 | eff->DrawCopy(); |
2407 | } | |
2408 | } | |
2409 | TH1D* inputSpectrum((TH1D*)tempIn->Get(Form("InputSpectrum_in_%s", dirNameIn.Data()))); | |
2410 | TH1D* unfoldedSpectrum((TH1D*)tempIn->Get(Form("UnfoldedSpectrum_in_%s", dirNameIn.Data()))); | |
2411 | unfoldedSpectrumInForRatio = ProtectHeap(unfoldedSpectrum, kFALSE, TString("ForRatio")); | |
2412 | TH1D* refoldedSpectrum((TH1D*)tempIn->Get(Form("RefoldedSpectrum_in_%s", dirNameIn.Data()))); | |
2413 | if(inputSpectrum && unfoldedSpectrum && refoldedSpectrum) { | |
2414 | if(defaultUnfoldedJetSpectrumIn) { | |
2415 | Style(defaultUnfoldedJetSpectrumIn, kBlue, kUnfoldedSpectrum); | |
2416 | TH1D* temp((TH1D*)defaultUnfoldedJetSpectrumIn->Clone(Form("defaultUnfoldedJetSpectrumIn_%s", dirNameIn.Data()))); | |
2417 | temp->Divide(unfoldedSpectrum); | |
18698978 | 2418 | // get the absolute relative error |
2419 | for(Int_t b(0); b < fBinsTrue->GetSize()-1; b++) { | |
d06dbffe | 2420 | if(!RMS) { // save the maximum deviation that a variation can cause |
2421 | // the variation is HIGHER than the nominal point, so the bar goes UP | |
2422 | if( temp->GetBinContent(b+1) < 1 && temp->GetBinContent(b+1) < relativeErrorInUp->GetBinContent(b+1)) { | |
2423 | relativeErrorInUp->SetBinContent(b+1, temp->GetBinContent(b+1)); | |
2424 | relativeErrorInUp->SetBinError(b+1, 0.); | |
2425 | } | |
2426 | // the variation is LOWER than the nominal point, so the bar goes DOWN | |
2427 | else if(temp->GetBinContent(b+1) > 1 && temp->GetBinContent(b+1) > relativeErrorInLow->GetBinContent(b+1)) { | |
2428 | relativeErrorInLow->SetBinContent(b+1, temp->GetBinContent(b+1)); | |
2429 | relativeErrorInLow->SetBinError(b+1, 0.); | |
2430 | } | |
3e698d27 | 2431 | } else if (RMS && !fSymmRMS) { // save info necessary for evaluating the RMS of a distribution of variations |
2432 | printf(" oops shouldnt be here \n " ); | |
2433 | if(temp->GetBinContent(b+1) < 1) { | |
d06dbffe | 2434 | relativeErrorInUp->SetBinContent(b+1, relativeErrorInUp->GetBinContent(b+1)+TMath::Power(1.-temp->GetBinContent(b+1), 2)); |
3e698d27 | 2435 | relativeErrorInUpN[b]++; |
d06dbffe | 2436 | } |
2437 | // the variation is LOWER than the nominal point, so the bar goes DOWN | |
2438 | else if(temp->GetBinContent(b+1) > 1) { | |
2439 | relativeErrorInLow->SetBinContent(b+1, relativeErrorInLow->GetBinContent(b+1)+TMath::Power(1.-temp->GetBinContent(b+1), 2)); | |
3e698d27 | 2440 | relativeErrorInLowN[b]++; |
d06dbffe | 2441 | } |
3e698d27 | 2442 | } else if (fSymmRMS) { |
2443 | // save symmetric sum of square to get a symmetric rms | |
2444 | relativeErrorInUp->SetBinContent(b+1, relativeErrorInUp->GetBinContent(b+1)+TMath::Power(temp->GetBinContent(b+1)-1., 2)); | |
2445 | relativeErrorInUpN[b]++; | |
18698978 | 2446 | } |
2447 | if(temp->GetBinError(b+1) > 0) relativeStatisticalErrorIn->SetBinContent(b+1, temp->GetBinError(b+1)/temp->GetBinContent(b+1)); | |
2448 | } | |
f3ba6c8e | 2449 | temp->SetTitle(Form("[%s] / [%s]", defIn.Data(), dirNameIn.Data())); |
2450 | temp->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); | |
2451 | temp->GetYaxis()->SetTitle("ratio"); | |
2452 | canvasMasterIn->cd(j); | |
f3ba6c8e | 2453 | temp->GetYaxis()->SetRangeUser(0., 2); |
18698978 | 2454 | Style(gPad, "GRID"); |
f3ba6c8e | 2455 | temp->DrawCopy(); |
18698978 | 2456 | canvasNominalMasterIn->cd(1); |
2457 | Style(gPad, "GRID"); | |
2458 | if(i > 0 ) { | |
2459 | TH1D* tempSyst((TH1D*)temp->Clone(Form("%s_syst", temp->GetName()))); | |
2460 | tempSyst->SetTitle(Form("[%s] / [%s]", defIn.Data(), dirNameIn.Data())); | |
2461 | Style(tempSyst, (EColor)(i+2)); | |
2462 | if(i==1) tempSyst->DrawCopy(); | |
2463 | else tempSyst->DrawCopy("same"); | |
2464 | } | |
f3ba6c8e | 2465 | } |
2466 | TH1F* fitStatus((TH1F*)tempIn->Get(Form("fitStatus_%s_in", dirNameIn.Data()))); | |
2467 | canvasSpectraIn->cd(j); | |
18698978 | 2468 | if(i==0) canvasNominalSpectraIn->cd(1); |
f3ba6c8e | 2469 | Style(gPad); |
2470 | Style(unfoldedSpectrum, kRed, kUnfoldedSpectrum); | |
2471 | unfoldedSpectrum->DrawCopy(); | |
2472 | Style(inputSpectrum, kGreen, kMeasuredSpectrum); | |
2473 | inputSpectrum->DrawCopy("same"); | |
2474 | Style(refoldedSpectrum, kBlue, kFoldedSpectrum); | |
2475 | refoldedSpectrum->DrawCopy("same"); | |
2476 | TLegend* l(AddLegend(gPad)); | |
2477 | Style(l); | |
2478 | if(fitStatus && fitStatus->GetNbinsX() == 4) { // only available in chi2 fit | |
2479 | Float_t chi(fitStatus->GetBinContent(1)); | |
2480 | Float_t pen(fitStatus->GetBinContent(2)); | |
2481 | Int_t dof((int)fitStatus->GetBinContent(3)); | |
2482 | Float_t beta(fitStatus->GetBinContent(4)); | |
2483 | l->AddEntry((TObject*)0, Form("#chi %.2f \tP %.2f \tDOF %i, #beta %.2f", chi, pen, dof, beta), ""); | |
2484 | } else if (fitStatus) { // only available in SVD fit | |
2485 | Int_t reg((int)fitStatus->GetBinContent(1)); | |
2486 | l->AddEntry((TObject*)0, Form("REG %i", reg), ""); | |
2487 | } | |
18698978 | 2488 | canvasNominalSpectraIn->cd(2); |
2489 | TH1D* tempSyst((TH1D*)unfoldedSpectrum->Clone(Form("%s_syst", unfoldedSpectrum->GetName()))); | |
2490 | tempSyst->SetTitle(Form("[%s]", dirNameIn.Data())); | |
2491 | Style(tempSyst, (EColor)(i+2)); | |
2492 | Style(gPad, "SPECTRUM"); | |
2493 | if(i==0) tempSyst->DrawCopy(); | |
2494 | else tempSyst->DrawCopy("same"); | |
f3ba6c8e | 2495 | } |
2496 | } | |
2497 | if(tempOut) { | |
2498 | TH2D* pOut((TH2D*)tempOut->Get(Form("PearsonCoefficients_out_%s", dirNameOut.Data()))); | |
2499 | if(pOut) { | |
2500 | printf(" - %s out of plane converged \n", dirNameOut.Data()); | |
2501 | canvasOut->cd(j); | |
2502 | if(i==0) canvasNominalOut->cd(j); | |
2503 | Style(gPad, "PEARSON"); | |
2504 | pOut->DrawCopy("colz"); | |
2505 | TGraphErrors* rOut((TGraphErrors*)tempOut->Get(Form("RatioRefoldedMeasured_%s", dirNameOut.Data()))); | |
2506 | if(rOut) { | |
2507 | Style(rOut); | |
2508 | printf(" > found RatioRefoldedMeasured < \n"); | |
2509 | canvasRatioMeasuredRefoldedOut->cd(j); | |
2510 | if(i==0) canvasNominalRatioMeasuredRefoldedOut->cd(j); | |
18698978 | 2511 | Style(gPad, "GRID"); |
f3ba6c8e | 2512 | rOut->SetFillColor(kRed); |
2513 | rOut->Draw("ap"); | |
2514 | } | |
2515 | TH1D* dvector((TH1D*)tempOut->Get("dVector")); | |
2516 | TH1D* avalue((TH1D*)tempOut->Get("SingularValuesOfAC")); | |
2517 | TH2D* rm((TH2D*)tempOut->Get(Form("ResponseMatrixOut_%s", dirNameOut.Data()))); | |
2518 | TH1D* eff((TH1D*)tempOut->Get(Form("KinematicEfficiencyOut_%s", dirNameOut.Data()))); | |
2519 | if(dvector && avalue && rm && eff) { | |
2520 | Style(dvector); | |
2521 | Style(avalue); | |
2522 | Style(rm); | |
2523 | Style(eff); | |
2524 | canvasMISC->cd(5); | |
2525 | if(i==0) canvasNominalMISC->cd(5); | |
2526 | Style(gPad, "SPECTRUM"); | |
2527 | dvector->DrawCopy(); | |
2528 | canvasMISC->cd(6); | |
2529 | if(i==0) canvasNominalMISC->cd(6); | |
2530 | Style(gPad, "SPECTRUM"); | |
2531 | avalue->DrawCopy(); | |
2532 | canvasMISC->cd(7); | |
2533 | if(i==0) canvasNominalMISC->cd(7); | |
2534 | Style(gPad, "PEARSON"); | |
2535 | rm->DrawCopy("colz"); | |
2536 | canvasMISC->cd(8); | |
2537 | if(i==0) canvasNominalMISC->cd(8); | |
2835b296 | 2538 | Style(gPad, "GRID"); |
f3ba6c8e | 2539 | eff->DrawCopy(); |
2540 | } else if(rm && eff) { | |
2541 | Style(rm); | |
2542 | Style(eff); | |
2543 | canvasMISC->cd(7); | |
2544 | if(i==0) canvasNominalMISC->cd(7); | |
2545 | Style(gPad, "PEARSON"); | |
2546 | rm->DrawCopy("colz"); | |
2547 | canvasMISC->cd(8); | |
2548 | if(i==0) canvasNominalMISC->cd(8); | |
2835b296 | 2549 | Style(gPad, "GRID"); |
f3ba6c8e | 2550 | eff->DrawCopy(); |
2551 | } | |
2552 | } | |
2553 | TH1D* inputSpectrum((TH1D*)tempOut->Get(Form("InputSpectrum_out_%s", dirNameOut.Data()))); | |
2554 | TH1D* unfoldedSpectrum((TH1D*)tempOut->Get(Form("UnfoldedSpectrum_out_%s", dirNameOut.Data()))); | |
2555 | unfoldedSpectrumOutForRatio = ProtectHeap(unfoldedSpectrum, kFALSE, TString("ForRatio")); | |
2556 | TH1D* refoldedSpectrum((TH1D*)tempOut->Get(Form("RefoldedSpectrum_out_%s", dirNameOut.Data()))); | |
2557 | if(inputSpectrum && unfoldedSpectrum && refoldedSpectrum) { | |
2558 | if(defaultUnfoldedJetSpectrumOut) { | |
2559 | Style(defaultUnfoldedJetSpectrumOut, kBlue, kUnfoldedSpectrum); | |
2560 | TH1D* temp((TH1D*)defaultUnfoldedJetSpectrumOut->Clone(Form("defaultUnfoldedJetSpectrumOut_%s", dirNameOut.Data()))); | |
2561 | temp->Divide(unfoldedSpectrum); | |
18698978 | 2562 | // get the absolute relative error |
2563 | for(Int_t b(0); b < fBinsTrue->GetSize()-1; b++) { | |
d06dbffe | 2564 | if(!RMS) { |
2565 | // check if the error is larger than the current maximum | |
2566 | if(temp->GetBinContent(b+1) < 1 && temp->GetBinContent(b+1) < relativeErrorOutUp->GetBinContent(b+1)) { | |
2567 | relativeErrorOutUp->SetBinContent(b+1, temp->GetBinContent(b+1)); | |
2568 | relativeErrorOutUp->SetBinError(b+1, 0.); | |
2569 | } | |
2570 | // check if the error is smaller than the current minimum | |
2571 | else if(temp->GetBinContent(b+1) > 1 && temp->GetBinContent(b+1) > relativeErrorOutLow->GetBinContent(b+1)) { | |
2572 | relativeErrorOutLow->SetBinContent(b+1, temp->GetBinContent(b+1)); | |
2573 | relativeErrorOutLow->SetBinError(b+1, 0.); | |
2574 | } | |
3e698d27 | 2575 | } else if (RMS && !fSymmRMS) { |
2576 | printf(" OOps \n "); | |
d06dbffe | 2577 | if(temp->GetBinContent(b+1) < 1) { |
2578 | relativeErrorOutUp->SetBinContent(b+1, relativeErrorOutUp->GetBinContent(b+1)+TMath::Power(1.-temp->GetBinContent(b+1), 2)); | |
3e698d27 | 2579 | relativeErrorOutUpN[b]++; |
d06dbffe | 2580 | } |
2581 | else if(temp->GetBinContent(b+1) > 1) { | |
2582 | relativeErrorOutLow->SetBinContent(b+1, relativeErrorOutLow->GetBinContent(b+1)+TMath::Power(1.-temp->GetBinContent(b+1), 2)); | |
3e698d27 | 2583 | relativeErrorOutLowN[b]++; |
d06dbffe | 2584 | } |
3e698d27 | 2585 | } else if (fSymmRMS) { |
2586 | // save symmetric rms value | |
2587 | relativeErrorOutUp->SetBinContent(b+1, relativeErrorOutUp->GetBinContent(b+1)+TMath::Power(temp->GetBinContent(b+1)-1., 2)); | |
2588 | relativeErrorOutUpN[b]++; | |
18698978 | 2589 | } |
2590 | if(temp->GetBinError(b+1) > 0) relativeStatisticalErrorOut->SetBinContent(b+1, temp->GetBinError(b+1)/temp->GetBinContent(b+1)); | |
d06dbffe | 2591 | } |
18698978 | 2592 | temp->SetTitle(Form("[%s] / [%s]", defOut.Data(), dirNameOut.Data())); |
f3ba6c8e | 2593 | temp->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
2594 | temp->GetYaxis()->SetTitle("ratio"); | |
2595 | canvasMasterOut->cd(j); | |
18698978 | 2596 | temp->GetYaxis()->SetRangeUser(0., 2); |
2597 | Style(gPad, "GRID"); | |
f3ba6c8e | 2598 | temp->DrawCopy(); |
18698978 | 2599 | canvasNominalMasterOut->cd(1); |
2600 | Style(gPad, "GRID"); | |
2601 | if(i > 0 ) { | |
2602 | TH1D* tempSyst((TH1D*)temp->Clone(Form("%s_syst", temp->GetName()))); | |
2603 | tempSyst->SetTitle(Form("[%s] / [%s]", defOut.Data(), dirNameOut.Data())); | |
2604 | Style(tempSyst, (EColor)(i+2)); | |
2605 | if(i==1) tempSyst->DrawCopy(); | |
2606 | else tempSyst->DrawCopy("same"); | |
2607 | } | |
f3ba6c8e | 2608 | } |
2609 | TH1F* fitStatus((TH1F*)tempOut->Get(Form("fitStatus_%s_out", dirNameOut.Data()))); | |
2610 | canvasSpectraOut->cd(j); | |
18698978 | 2611 | if(i==0) canvasNominalSpectraOut->cd(1); |
f3ba6c8e | 2612 | Style(gPad); |
2613 | Style(unfoldedSpectrum, kRed, kUnfoldedSpectrum); | |
2614 | unfoldedSpectrum->DrawCopy(); | |
2615 | Style(inputSpectrum, kGreen, kMeasuredSpectrum); | |
2616 | inputSpectrum->DrawCopy("same"); | |
2617 | Style(refoldedSpectrum, kBlue, kFoldedSpectrum); | |
2618 | refoldedSpectrum->DrawCopy("same"); | |
2619 | TLegend* l(AddLegend(gPad)); | |
2620 | Style(l); | |
2621 | if(fitStatus && fitStatus->GetNbinsX() == 4) { // only available in chi2 fit | |
2622 | Float_t chi(fitStatus->GetBinContent(1)); | |
2623 | Float_t pen(fitStatus->GetBinContent(2)); | |
2624 | Int_t dof((int)fitStatus->GetBinContent(3)); | |
2625 | Float_t beta(fitStatus->GetBinContent(4)); | |
2626 | l->AddEntry((TObject*)0, Form("#chi %.2f \tP %.2f \tDOF %i, #beta %.2f", chi, pen, dof, beta), ""); | |
2627 | } else if (fitStatus) { // only available in SVD fit | |
2628 | Int_t reg((int)fitStatus->GetBinContent(1)); | |
2629 | l->AddEntry((TObject*)0, Form("REG %i", reg), ""); | |
2630 | } | |
18698978 | 2631 | canvasNominalSpectraOut->cd(2); |
2632 | TH1D* tempSyst((TH1D*)unfoldedSpectrum->Clone(Form("%s_syst", unfoldedSpectrum->GetName()))); | |
2633 | tempSyst->SetTitle(Form("[%s]", dirNameOut.Data())); | |
2634 | Style(tempSyst, (EColor)(i+2)); | |
2635 | Style(gPad, "SPECTRUM"); | |
2636 | if(i==0) tempSyst->DrawCopy(); | |
2637 | else tempSyst->DrawCopy("same"); | |
f3ba6c8e | 2638 | } |
2639 | } | |
2640 | if(canvasRatio && canvasV2) { | |
2641 | canvasRatio->cd(j); | |
a39e4b2b | 2642 | if(i==0) { |
2643 | canvasNominalRatio->cd(j); | |
2644 | if(nominal && nominalIn && nominalOut) { | |
2645 | // if a nominal ratio is requested, delete the placeholder and update the nominal point | |
2646 | delete nominal; | |
2647 | delete nominalIn; | |
2648 | delete nominalOut; | |
2649 | nominalIn = (TH1D*)unfoldedSpectrumInForRatio->Clone("in plane jet yield"); | |
2650 | nominalOut = (TH1D*)unfoldedSpectrumOutForRatio->Clone("out of plane jet yield"); | |
2651 | nominal = (TH1D*)unfoldedSpectrumInForRatio->Clone("ratio in plane out of plane"); | |
2652 | nominal->Divide(nominal, unfoldedSpectrumOutForRatio); // standard root divide for uncorrelated histos | |
2653 | } | |
2654 | } | |
f3ba6c8e | 2655 | TGraphErrors* ratioYield(GetRatio(unfoldedSpectrumInForRatio, unfoldedSpectrumOutForRatio, TString(Form("ratio [in=%s, out=%s]", dirNameIn.Data(), dirNameOut.Data())))); |
2656 | Double_t _tempx(0), _tempy(0); | |
2657 | if(ratioYield) { | |
2658 | Style(ratioYield); | |
2659 | for(Int_t b(0); b < fBinsTrue->GetSize(); b++) { | |
a39e4b2b | 2660 | ratioYield->GetPoint(b, _tempx, _tempy); |
f3ba6c8e | 2661 | ratioProfile->Fill(_tempx, _tempy); |
2662 | } | |
2663 | ratioProfile->GetYaxis()->SetRangeUser(-0., 2.); | |
2664 | ratioProfile->GetXaxis()->SetRangeUser(rangeLow, rangeUp); | |
2665 | ratioYield->GetYaxis()->SetRangeUser(-0., 2.); | |
2666 | ratioYield->GetXaxis()->SetRangeUser(rangeLow, rangeUp); | |
2667 | ratioYield->SetFillColor(kRed); | |
2668 | ratioYield->Draw("ap"); | |
2669 | } | |
2670 | canvasV2->cd(j); | |
2671 | if(i==0) canvasNominalV2->cd(j); | |
35c03ef1 | 2672 | TGraphErrors* ratioV2(GetV2(unfoldedSpectrumInForRatio,unfoldedSpectrumOutForRatio, fEventPlaneRes, TString(Form("v_{2} [in=%s, out=%s]", dirNameIn.Data(), dirNameOut.Data())))); |
f3ba6c8e | 2673 | if(ratioV2) { |
2674 | Style(ratioV2); | |
2675 | for(Int_t b(0); b < fBinsTrue->GetSize(); b++) { | |
a39e4b2b | 2676 | ratioV2->GetPoint(b, _tempx, _tempy); |
f3ba6c8e | 2677 | v2Profile->Fill(_tempx, _tempy); |
2678 | ||
2679 | } | |
2680 | v2Profile->GetYaxis()->SetRangeUser(-0., 2.); | |
2681 | v2Profile->GetXaxis()->SetRangeUser(rangeLow, rangeUp); | |
2682 | ratioV2->GetYaxis()->SetRangeUser(-.25, .75); | |
2683 | ratioV2->GetXaxis()->SetRangeUser(rangeLow, rangeUp); | |
2684 | ratioV2->SetFillColor(kRed); | |
2685 | ratioV2->Draw("ap"); | |
2686 | } | |
2687 | } | |
2688 | delete unfoldedSpectrumInForRatio; | |
2689 | delete unfoldedSpectrumOutForRatio; | |
2690 | } | |
f3ba6c8e | 2691 | // save the canvasses |
2692 | canvasProfiles->cd(1); | |
2693 | Style(ratioProfile); | |
2694 | ratioProfile->DrawCopy(); | |
2695 | canvasProfiles->cd(2); | |
2696 | Style(v2Profile); | |
2697 | v2Profile->DrawCopy(); | |
2698 | SavePadToPDF(canvasProfiles); | |
2699 | canvasProfiles->Write(); | |
2700 | SavePadToPDF(canvasIn); | |
2701 | canvasIn->Write(); | |
2702 | if(canvasOut) { | |
2703 | SavePadToPDF(canvasOut); | |
2704 | canvasOut->Write(); | |
2705 | } | |
2706 | SavePadToPDF(canvasRatioMeasuredRefoldedIn); | |
2707 | canvasRatioMeasuredRefoldedIn->Write(); | |
2708 | if(canvasRatioMeasuredRefoldedOut) { | |
2709 | SavePadToPDF(canvasRatioMeasuredRefoldedOut); | |
2710 | canvasRatioMeasuredRefoldedOut->Write(); | |
2711 | } | |
2712 | SavePadToPDF(canvasSpectraIn); | |
2713 | canvasSpectraIn->Write(); | |
2714 | if(canvasSpectraOut) { | |
2715 | SavePadToPDF(canvasSpectraOut); | |
2716 | canvasSpectraOut->Write(); | |
2717 | SavePadToPDF(canvasRatio); | |
2718 | canvasRatio->Write(); | |
2719 | SavePadToPDF(canvasV2); | |
2720 | canvasV2->Write(); | |
2721 | } | |
2722 | SavePadToPDF(canvasMasterIn); | |
2723 | canvasMasterIn->Write(); | |
2724 | if(canvasMasterOut) { | |
2725 | SavePadToPDF(canvasMasterOut); | |
2726 | canvasMasterOut->Write(); | |
2727 | } | |
2728 | SavePadToPDF(canvasMISC); | |
2729 | canvasMISC->Write(); | |
2730 | // save the nomial canvasses | |
2731 | SavePadToPDF(canvasNominalIn); | |
2732 | canvasNominalIn->Write(); | |
2733 | if(canvasNominalOut) { | |
2734 | SavePadToPDF(canvasNominalOut); | |
2735 | canvasNominalOut->Write(); | |
2736 | } | |
2737 | SavePadToPDF(canvasNominalRatioMeasuredRefoldedIn); | |
2738 | canvasNominalRatioMeasuredRefoldedIn->Write(); | |
2739 | if(canvasNominalRatioMeasuredRefoldedOut) { | |
2740 | SavePadToPDF(canvasNominalRatioMeasuredRefoldedOut); | |
2741 | canvasNominalRatioMeasuredRefoldedOut->Write(); | |
2742 | } | |
18698978 | 2743 | canvasNominalSpectraIn->cd(2); |
2744 | Style(AddLegend(gPad)); | |
f3ba6c8e | 2745 | SavePadToPDF(canvasNominalSpectraIn); |
2746 | canvasNominalSpectraIn->Write(); | |
2747 | if(canvasNominalSpectraOut) { | |
18698978 | 2748 | canvasNominalSpectraOut->cd(2); |
2749 | Style(AddLegend(gPad)); | |
f3ba6c8e | 2750 | SavePadToPDF(canvasNominalSpectraOut); |
2751 | canvasNominalSpectraOut->Write(); | |
2752 | SavePadToPDF(canvasNominalRatio); | |
2753 | canvasNominalRatio->Write(); | |
2754 | SavePadToPDF(canvasNominalV2); | |
2755 | canvasNominalV2->Write(); | |
2756 | } | |
18698978 | 2757 | canvasNominalMasterIn->cd(1); |
2758 | Style(AddLegend(gPad)); | |
2759 | lineUp->DrawClone("same"); | |
2760 | lineLow->DrawClone("same"); | |
f3ba6c8e | 2761 | SavePadToPDF(canvasNominalMasterIn); |
2762 | canvasNominalMasterIn->Write(); | |
2763 | if(canvasNominalMasterOut) { | |
18698978 | 2764 | canvasNominalMasterOut->cd(1); |
2765 | Style(AddLegend(gPad)); | |
2766 | lineUp->DrawClone("same"); | |
2767 | lineLow->DrawClone("same"); | |
f3ba6c8e | 2768 | SavePadToPDF(canvasNominalMasterOut); |
2769 | canvasNominalMasterOut->Write(); | |
2770 | } | |
2771 | SavePadToPDF(canvasNominalMISC); | |
2772 | canvasNominalMISC->Write(); | |
2773 | ||
18698978 | 2774 | // save the relative errors |
2775 | for(Int_t b(0); b < fBinsTrue->GetSize()-1; b++) { | |
24005d85 | 2776 | // to arrive at a min and max from here, combine in up and out low |
d06dbffe | 2777 | if(!RMS) { |
2778 | relativeErrorInUp->SetBinContent(b+1, -1.*(relativeErrorInUp->GetBinContent(b+1)-1)); | |
2779 | relativeErrorInUp->SetBinError(b+1, 0.); | |
2780 | relativeErrorOutUp->SetBinContent(b+1, -1.*(relativeErrorOutUp->GetBinContent(b+1)-1)); | |
2781 | relativeErrorOutUp->SetBinError(b+1, .0); | |
2782 | relativeErrorInLow->SetBinContent(b+1, -1.*(relativeErrorInLow->GetBinContent(b+1)-1)); | |
2783 | relativeErrorInLow->SetBinError(b+1, 0.); | |
2784 | relativeErrorOutLow->SetBinContent(b+1, -1.*(relativeErrorOutLow->GetBinContent(b+1)-1)); | |
2785 | relativeErrorOutLow->SetBinError(b+1, .0); | |
2786 | } else if (RMS) { | |
2787 | // these guys are already stored as percentages, so no need to remove the offset of 1 | |
2788 | // RMS is defined as sqrt(sum(squared))/N | |
2789 | // min is defined as negative, max is defined as positive | |
3e698d27 | 2790 | if(!fSymmRMS) { |
2791 | if(relativeErrorInUpN[b] < 1) relativeErrorInUpN[b] = 1; | |
2792 | if(relativeErrorInLowN[b] < 1) relativeErrorInLowN[b] = 1; | |
2793 | if(relativeErrorOutUpN[b] < 1) relativeErrorOutUpN[b] = 1; | |
2794 | if(relativeErrorOutLowN[b] < 1) relativeErrorOutLowN[b] = 1; | |
2795 | relativeErrorInUp->SetBinContent(b+1, TMath::Sqrt(relativeErrorInUp->GetBinContent(b+1)/relativeErrorInUpN[b])); | |
2796 | relativeErrorInUp->SetBinError(b+1, 0.); | |
2797 | relativeErrorOutUp->SetBinContent(b+1, TMath::Sqrt(relativeErrorOutUp->GetBinContent(b+1)/relativeErrorOutUpN[b])); | |
2798 | relativeErrorOutUp->SetBinError(b+1, .0); | |
2799 | relativeErrorInLow->SetBinContent(b+1, -1.*TMath::Sqrt(relativeErrorInLow->GetBinContent(b+1)/relativeErrorInLowN[b])); | |
2800 | relativeErrorInLow->SetBinError(b+1, 0.); | |
2801 | relativeErrorOutLow->SetBinContent(b+1, -1.*TMath::Sqrt(relativeErrorOutLow->GetBinContent(b+1)/relativeErrorOutLowN[b])); | |
2802 | relativeErrorOutLow->SetBinError(b+1, .0); | |
2803 | } else if (fSymmRMS) { | |
2804 | if(relativeErrorInUpN[b] < 1) relativeErrorInUpN[b] = 1; | |
2805 | if(relativeErrorOutUpN[b] < 1) relativeErrorOutUpN[b] = 1; | |
2806 | relativeErrorInUp->SetBinContent(b+1, TMath::Sqrt(relativeErrorInUp->GetBinContent(b+1)/relativeErrorInUpN[b])); | |
2807 | relativeErrorOutUp->SetBinContent(b+1, TMath::Sqrt(relativeErrorOutUp->GetBinContent(b+1)/relativeErrorOutUpN[b])); | |
2808 | } | |
d06dbffe | 2809 | } |
18698978 | 2810 | } |
2811 | relativeErrorInUp->SetYTitle("relative uncertainty"); | |
2812 | relativeErrorOutUp->SetYTitle("relative uncertainty"); | |
2813 | relativeErrorInLow->SetYTitle("relative uncertainty"); | |
2814 | relativeErrorOutLow->SetYTitle("relative uncertainty"); | |
2815 | relativeErrorInUp->GetYaxis()->SetRangeUser(-1.5, 3.); | |
2816 | relativeErrorInLow->GetYaxis()->SetRangeUser(-1.5, 3.); | |
2817 | relativeErrorOutUp->GetYaxis()->SetRangeUser(-1.5, 3.); | |
2818 | relativeErrorOutLow->GetYaxis()->SetRangeUser(-1.5, 3.); | |
2819 | ||
2820 | canvasNominalMasterIn->cd(2); | |
2821 | Style(gPad, "GRID"); | |
2822 | Style(relativeErrorInUp, kBlue, kBar); | |
2823 | Style(relativeErrorInLow, kGreen, kBar); | |
2824 | relativeErrorInUp->DrawCopy("b"); | |
2825 | relativeErrorInLow->DrawCopy("same b"); | |
2826 | Style(AddLegend(gPad)); | |
2827 | SavePadToPDF(canvasNominalMasterIn); | |
2828 | canvasNominalMasterIn->Write(); | |
2829 | canvasNominalMasterOut->cd(2); | |
2830 | Style(gPad, "GRID"); | |
2831 | Style(relativeErrorOutUp, kBlue, kBar); | |
2832 | Style(relativeErrorOutLow, kGreen, kBar); | |
2833 | relativeErrorOutUp->DrawCopy("b"); | |
2834 | relativeErrorOutLow->DrawCopy("same b"); | |
2835 | Style(AddLegend(gPad)); | |
2836 | SavePadToPDF(canvasNominalMasterOut); | |
2837 | canvasNominalMasterOut->Write(); | |
f3ba6c8e | 2838 | } |
2839 | //_____________________________________________________________________________ | |
87233f72 | 2840 | void AliJetFlowTools::PostProcess(TString def, Int_t columns, Float_t rangeLow, Float_t rangeUp, TString in, TString out) const |
d7ec324f | 2841 | { |
2842 | // go through the output file and perform post processing routines | |
2843 | // can either be performed in one go with the unfolding, or at a later stage | |
53547ff2 | 2844 | if(fOutputFile && !fOutputFile->IsZombie()) fOutputFile->Close(); |
d7ec324f | 2845 | TFile readMe(in.Data(), "READ"); // open file read-only |
2846 | if(readMe.IsZombie()) { | |
2847 | printf(" > Fatal error, couldn't read %s for post processing ! < \n", in.Data()); | |
2848 | return; | |
2849 | } | |
2850 | printf("\n\n\n\t\t POSTPROCESSING \n > Recovered the following file structure : \n <"); | |
2851 | readMe.ls(); | |
2852 | TList* listOfKeys((TList*)readMe.GetListOfKeys()); | |
2853 | if(!listOfKeys) { | |
2854 | printf(" > Fatal error, couldn't retrieve list of keys. Input file might have been corrupted ! < \n"); | |
2855 | return; | |
2856 | } | |
2857 | // prepare necessary canvasses | |
53547ff2 | 2858 | TCanvas* canvasIn(new TCanvas("PearsonIn", "PearsonIn")); |
5e11c41c | 2859 | TCanvas* canvasOut(0x0); |
486fb24e | 2860 | if(fDphiUnfolding) canvasOut = new TCanvas("PearsonOut", "PearsonOut"); |
53547ff2 | 2861 | TCanvas* canvasRatioMeasuredRefoldedIn(new TCanvas("RefoldedIn", "RefoldedIn")); |
5e11c41c | 2862 | TCanvas* canvasRatioMeasuredRefoldedOut(0x0); |
486fb24e | 2863 | if(fDphiUnfolding) canvasRatioMeasuredRefoldedOut = new TCanvas("RefoldedOut", "RefoldedOut"); |
53547ff2 | 2864 | TCanvas* canvasSpectraIn(new TCanvas("SpectraIn", "SpectraIn")); |
5e11c41c | 2865 | TCanvas* canvasSpectraOut(0x0); |
486fb24e | 2866 | if(fDphiUnfolding) canvasSpectraOut = new TCanvas("SpectraOut", "SpectraOut"); |
5e11c41c | 2867 | TCanvas* canvasRatio(0x0); |
486fb24e | 2868 | if(fDphiUnfolding) canvasRatio = new TCanvas("Ratio", "Ratio"); |
5e11c41c | 2869 | TCanvas* canvasV2(0x0); |
486fb24e | 2870 | if(fDphiUnfolding) canvasV2 = new TCanvas("V2", "V2"); |
53547ff2 RAB |
2871 | TCanvas* canvasMISC(new TCanvas("MISC", "MISC")); |
2872 | TCanvas* canvasMasterIn(new TCanvas("defaultIn", "defaultIn")); | |
5e11c41c | 2873 | TCanvas* canvasMasterOut(0x0); |
486fb24e | 2874 | if(fDphiUnfolding) canvasMasterOut = new TCanvas("defaultOut", "defaultOut"); |
2875 | (fDphiUnfolding) ? canvasMISC->Divide(4, 2) : canvasMISC->Divide(4, 1); | |
d7ec324f | 2876 | TDirectoryFile* defDir(0x0); |
87233f72 | 2877 | TCanvas* canvasProfiles(new TCanvas("canvasProfiles", "canvasProfiles")); |
2878 | canvasProfiles->Divide(2); | |
2879 | TProfile* ratioProfile(new TProfile("ratioProfile", "ratioProfile", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
2880 | TProfile* v2Profile(new TProfile("v2Profile", "v2Profile", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
d7ec324f | 2881 | // get an estimate of the number of outputs and find the default set |
2882 | Int_t cacheMe(0); | |
2883 | for(Int_t i(0); i < listOfKeys->GetSize(); i++) { | |
2884 | if(dynamic_cast<TDirectoryFile*>(readMe.Get(listOfKeys->At(i)->GetName()))) { | |
2885 | if(!strcmp(listOfKeys->At(i)->GetName(), def.Data())) defDir = dynamic_cast<TDirectoryFile*>(readMe.Get(listOfKeys->At(i)->GetName())); | |
2886 | cacheMe++; | |
2887 | } | |
2888 | } | |
f3ba6c8e | 2889 | Int_t rows(TMath::Floor(cacheMe/(float)columns)+((cacheMe%columns)>0)); |
53547ff2 | 2890 | canvasIn->Divide(columns, rows); |
5e11c41c | 2891 | if(canvasOut) canvasOut->Divide(columns, rows); |
53547ff2 | 2892 | canvasRatioMeasuredRefoldedIn->Divide(columns, rows); |
5e11c41c | 2893 | if(canvasRatioMeasuredRefoldedOut) canvasRatioMeasuredRefoldedOut->Divide(columns, rows); |
53547ff2 | 2894 | canvasSpectraIn->Divide(columns, rows); |
5e11c41c | 2895 | if(canvasSpectraOut) canvasSpectraOut->Divide(columns, rows); |
2896 | if(canvasRatio) canvasRatio->Divide(columns, rows); | |
2897 | if(canvasV2) canvasV2->Divide(columns, rows); | |
d7ec324f | 2898 | |
53547ff2 | 2899 | canvasMasterIn->Divide(columns, rows); |
5e11c41c | 2900 | if(canvasMasterOut) canvasMasterOut->Divide(columns, rows); |
d7ec324f | 2901 | // extract the default output |
ab474fb0 | 2902 | TH1D* defaultUnfoldedJetSpectrumIn(0x0); |
2903 | TH1D* defaultUnfoldedJetSpectrumOut(0x0); | |
d7ec324f | 2904 | if(defDir) { |
2905 | TDirectoryFile* defDirIn = (TDirectoryFile*)defDir->Get(Form("InPlane___%s", def.Data())); | |
2906 | TDirectoryFile* defDirOut = (TDirectoryFile*)defDir->Get(Form("OutOfPlane___%s", def.Data())); | |
ab474fb0 | 2907 | if(defDirIn) defaultUnfoldedJetSpectrumIn = (TH1D*)defDirIn->Get(Form("UnfoldedSpectrum_in_%s", def.Data())); |
2908 | if(defDirOut) defaultUnfoldedJetSpectrumOut = (TH1D*)defDirOut->Get(Form("UnfoldedSpectrum_out_%s", def.Data())); | |
d7ec324f | 2909 | printf(" > succesfully extracted default results < \n"); |
2910 | } | |
a39e4b2b | 2911 | |
d7ec324f | 2912 | // loop through the directories, only plot the graphs if the deconvolution converged |
2913 | TDirectoryFile* tempDir(0x0); | |
2914 | TDirectoryFile* tempIn(0x0); | |
2915 | TDirectoryFile* tempOut(0x0); | |
2916 | for(Int_t i(0), j(0); i < listOfKeys->GetSize(); i++) { | |
ab474fb0 | 2917 | // read the directory by its name |
d7ec324f | 2918 | tempDir = dynamic_cast<TDirectoryFile*>(readMe.Get(listOfKeys->At(i)->GetName())); |
2919 | if(!tempDir) continue; | |
2920 | TString dirName(tempDir->GetName()); | |
ab474fb0 | 2921 | // try to read the in- and out of plane subdirs |
d7ec324f | 2922 | tempIn = (TDirectoryFile*)tempDir->Get(Form("InPlane___%s", dirName.Data())); |
2923 | tempOut = (TDirectoryFile*)tempDir->Get(Form("OutOfPlane___%s", dirName.Data())); | |
2924 | j++; | |
486fb24e | 2925 | if(!tempIn) { // attempt to get MakeAU output |
2926 | TString stringArray[] = {"a", "b", "c", "d", "e", "f", "g", "h"}; | |
2927 | TCanvas* tempPearson(new TCanvas(Form("pearson_%s", dirName.Data()), Form("pearson_%s", dirName.Data()))); | |
2928 | tempPearson->Divide(4,2); | |
2929 | TCanvas* tempRatio(new TCanvas(Form("ratio_%s", dirName.Data()), Form("ratio_%s", dirName.Data()))); | |
2930 | tempRatio->Divide(4,2); | |
2931 | TCanvas* tempResult(new TCanvas(Form("result_%s", dirName.Data()), Form("result_%s", dirName.Data()))); | |
2932 | tempResult->Divide(4,2); | |
2933 | for(Int_t q(0); q < 8; q++) { | |
2934 | tempIn = (TDirectoryFile*)tempDir->Get(Form("%s___%s", stringArray[q].Data(), dirName.Data())); | |
2935 | if(tempIn) { | |
a39e4b2b | 2936 | // to see if the unfolding converged try to extract the pearson coefficients |
2937 | TH2D* pIn((TH2D*)tempIn->Get(Form("PearsonCoefficients_in_%s", dirName.Data()))); | |
2938 | if(pIn) { | |
486fb24e | 2939 | printf(" - %s in plane converged \n", dirName.Data()); |
a39e4b2b | 2940 | tempPearson->cd(1+q); |
486fb24e | 2941 | Style(gPad, "PEARSON"); |
a39e4b2b | 2942 | pIn->DrawCopy("colz"); |
2943 | TGraphErrors* rIn((TGraphErrors*)tempIn->Get(Form("RatioRefoldedMeasured_%s", dirName.Data()))); | |
2944 | if(rIn) { | |
2945 | Style(rIn); | |
2946 | printf(" > found RatioRefoldedMeasured < \n"); | |
2947 | tempRatio->cd(q+1); | |
2948 | rIn->SetFillColor(kRed); | |
2949 | rIn->Draw("ap"); | |
2950 | } | |
2951 | TH1D* dvector((TH1D*)tempIn->Get("dVector")); | |
2952 | TH1D* avalue((TH1D*)tempIn->Get("SingularValuesOfAC")); | |
2953 | TH2D* rm((TH2D*)tempIn->Get(Form("ResponseMatrixIn_%s", dirName.Data()))); | |
2954 | TH1D* eff((TH1D*)tempIn->Get(Form("KinematicEfficiencyIn_%s", dirName.Data()))); | |
2955 | if(dvector && avalue && rm && eff) { | |
2956 | Style(dvector); | |
2957 | Style(avalue); | |
2958 | Style(rm); | |
2959 | Style(eff); | |
2960 | canvasMISC->cd(1); | |
2961 | Style(gPad, "SPECTRUM"); | |
2962 | dvector->DrawCopy(); | |
2963 | canvasMISC->cd(2); | |
2964 | Style(gPad, "SPECTRUM"); | |
2965 | avalue->DrawCopy(); | |
2966 | canvasMISC->cd(3); | |
2967 | Style(gPad, "PEARSON"); | |
2968 | rm->DrawCopy("colz"); | |
2969 | canvasMISC->cd(4); | |
2835b296 | 2970 | Style(gPad, "GRID"); |
a39e4b2b | 2971 | eff->DrawCopy(); |
2972 | } else if(rm && eff) { | |
2973 | Style(rm); | |
2974 | Style(eff); | |
2975 | canvasMISC->cd(3); | |
2976 | Style(gPad, "PEARSON"); | |
2977 | rm->DrawCopy("colz"); | |
2978 | canvasMISC->cd(4); | |
2835b296 | 2979 | Style(gPad, "GRID"); |
a39e4b2b | 2980 | eff->DrawCopy(); |
2981 | } | |
486fb24e | 2982 | } |
a39e4b2b | 2983 | TH1D* inputSpectrum((TH1D*)tempIn->Get(Form("InputSpectrum_in_%s", dirName.Data()))); |
2984 | TH1D* unfoldedSpectrum((TH1D*)tempIn->Get(Form("UnfoldedSpectrum_in_%s", dirName.Data()))); | |
2985 | TH1D* refoldedSpectrum((TH1D*)tempIn->Get(Form("RefoldedSpectrum_in_%s", dirName.Data()))); | |
2986 | if(inputSpectrum && unfoldedSpectrum && refoldedSpectrum) { | |
2987 | if(defaultUnfoldedJetSpectrumIn) { | |
2988 | Style(defaultUnfoldedJetSpectrumIn, kBlue, kUnfoldedSpectrum); | |
2989 | TH1D* temp((TH1D*)defaultUnfoldedJetSpectrumIn->Clone(Form("defaultUnfoldedJetSpectrumIn_%s", dirName.Data()))); | |
2990 | temp->Divide(unfoldedSpectrum); | |
2991 | temp->SetTitle(Form("ratio default unfolded / %s", dirName.Data())); | |
2992 | temp->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); | |
2993 | temp->GetYaxis()->SetTitle(Form("%s / %s", def.Data(), dirName.Data())); | |
2994 | canvasMasterIn->cd(j); | |
2995 | temp->GetYaxis()->SetRangeUser(0., 2); | |
2996 | temp->DrawCopy(); | |
2997 | } | |
2998 | TH1F* fitStatus((TH1F*)tempIn->Get(Form("fitStatus_%s_in", dirName.Data()))); | |
2999 | tempResult->cd(q+1); | |
3000 | Style(gPad); | |
3001 | Style(unfoldedSpectrum, kRed, kUnfoldedSpectrum); | |
3002 | unfoldedSpectrum->DrawCopy(); | |
3003 | Style(inputSpectrum, kGreen, kMeasuredSpectrum); | |
3004 | inputSpectrum->DrawCopy("same"); | |
3005 | Style(refoldedSpectrum, kBlue, kFoldedSpectrum); | |
3006 | refoldedSpectrum->DrawCopy("same"); | |
3007 | TLegend* l(AddLegend(gPad)); | |
3008 | Style(l); | |
3009 | if(fitStatus && fitStatus->GetNbinsX() == 4) { // only available in chi2 fit | |
3010 | Float_t chi(fitStatus->GetBinContent(1)); | |
3011 | Float_t pen(fitStatus->GetBinContent(2)); | |
3012 | Int_t dof((int)fitStatus->GetBinContent(3)); | |
3013 | Float_t beta(fitStatus->GetBinContent(4)); | |
3014 | l->AddEntry((TObject*)0, Form("#chi %.2f \tP %.2f \tDOF %i, #beta %.2f", chi, pen, dof, beta), ""); | |
3015 | } else if (fitStatus) { // only available in SVD fit | |
3016 | Int_t reg((int)fitStatus->GetBinContent(1)); | |
3017 | l->AddEntry((TObject*)0, Form("REG %i", reg), ""); | |
3018 | } | |
3019 | } | |
486fb24e | 3020 | } |
3021 | } | |
3022 | } | |
d7ec324f | 3023 | if(tempIn) { |
3024 | // to see if the unfolding converged try to extract the pearson coefficients | |
3025 | TH2D* pIn((TH2D*)tempIn->Get(Form("PearsonCoefficients_in_%s", dirName.Data()))); | |
3026 | if(pIn) { | |
3027 | printf(" - %s in plane converged \n", dirName.Data()); | |
3028 | canvasIn->cd(j); | |
3029 | Style(gPad, "PEARSON"); | |
3030 | pIn->DrawCopy("colz"); | |
3031 | TGraphErrors* rIn((TGraphErrors*)tempIn->Get(Form("RatioRefoldedMeasured_%s", dirName.Data()))); | |
3032 | if(rIn) { | |
53547ff2 | 3033 | Style(rIn); |
d7ec324f | 3034 | printf(" > found RatioRefoldedMeasured < \n"); |
3035 | canvasRatioMeasuredRefoldedIn->cd(j); | |
ab474fb0 | 3036 | rIn->SetFillColor(kRed); |
3037 | rIn->Draw("ap"); | |
d7ec324f | 3038 | } |
3039 | TH1D* dvector((TH1D*)tempIn->Get("dVector")); | |
3040 | TH1D* avalue((TH1D*)tempIn->Get("SingularValuesOfAC")); | |
3041 | TH2D* rm((TH2D*)tempIn->Get(Form("ResponseMatrixIn_%s", dirName.Data()))); | |
3042 | TH1D* eff((TH1D*)tempIn->Get(Form("KinematicEfficiencyIn_%s", dirName.Data()))); | |
3043 | if(dvector && avalue && rm && eff) { | |
53547ff2 RAB |
3044 | Style(dvector); |
3045 | Style(avalue); | |
3046 | Style(rm); | |
3047 | Style(eff); | |
d7ec324f | 3048 | canvasMISC->cd(1); |
3049 | Style(gPad, "SPECTRUM"); | |
3050 | dvector->DrawCopy(); | |
3051 | canvasMISC->cd(2); | |
3052 | Style(gPad, "SPECTRUM"); | |
3053 | avalue->DrawCopy(); | |
3054 | canvasMISC->cd(3); | |
3055 | Style(gPad, "PEARSON"); | |
3056 | rm->DrawCopy("colz"); | |
3057 | canvasMISC->cd(4); | |
2835b296 | 3058 | Style(gPad, "GRID"); |
d7ec324f | 3059 | eff->DrawCopy(); |
53547ff2 RAB |
3060 | } else if(rm && eff) { |
3061 | Style(rm); | |
3062 | Style(eff); | |
3063 | canvasMISC->cd(3); | |
3064 | Style(gPad, "PEARSON"); | |
3065 | rm->DrawCopy("colz"); | |
3066 | canvasMISC->cd(4); | |
2835b296 | 3067 | Style(gPad, "GRID"); |
53547ff2 | 3068 | eff->DrawCopy(); |
d7ec324f | 3069 | } |
3070 | } | |
3071 | TH1D* inputSpectrum((TH1D*)tempIn->Get(Form("InputSpectrum_in_%s", dirName.Data()))); | |
3072 | TH1D* unfoldedSpectrum((TH1D*)tempIn->Get(Form("UnfoldedSpectrum_in_%s", dirName.Data()))); | |
3073 | TH1D* refoldedSpectrum((TH1D*)tempIn->Get(Form("RefoldedSpectrum_in_%s", dirName.Data()))); | |
3074 | if(inputSpectrum && unfoldedSpectrum && refoldedSpectrum) { | |
ab474fb0 | 3075 | if(defaultUnfoldedJetSpectrumIn) { |
3076 | Style(defaultUnfoldedJetSpectrumIn, kBlue, kUnfoldedSpectrum); | |
3077 | TH1D* temp((TH1D*)defaultUnfoldedJetSpectrumIn->Clone(Form("defaultUnfoldedJetSpectrumIn_%s", dirName.Data()))); | |
d7ec324f | 3078 | temp->Divide(unfoldedSpectrum); |
3079 | temp->SetTitle(Form("ratio default unfolded / %s", dirName.Data())); | |
f3ba6c8e | 3080 | temp->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
d7ec324f | 3081 | temp->GetYaxis()->SetTitle(Form("%s / %s", def.Data(), dirName.Data())); |
3082 | canvasMasterIn->cd(j); | |
ab474fb0 | 3083 | temp->GetYaxis()->SetRangeUser(0., 2); |
d7ec324f | 3084 | temp->DrawCopy(); |
3085 | } | |
3086 | TH1F* fitStatus((TH1F*)tempIn->Get(Form("fitStatus_%s_in", dirName.Data()))); | |
3087 | canvasSpectraIn->cd(j); | |
3088 | Style(gPad); | |
53547ff2 | 3089 | Style(unfoldedSpectrum, kRed, kUnfoldedSpectrum); |
d7ec324f | 3090 | unfoldedSpectrum->DrawCopy(); |
53547ff2 | 3091 | Style(inputSpectrum, kGreen, kMeasuredSpectrum); |
d7ec324f | 3092 | inputSpectrum->DrawCopy("same"); |
53547ff2 | 3093 | Style(refoldedSpectrum, kBlue, kFoldedSpectrum); |
d7ec324f | 3094 | refoldedSpectrum->DrawCopy("same"); |
3095 | TLegend* l(AddLegend(gPad)); | |
53547ff2 RAB |
3096 | Style(l); |
3097 | if(fitStatus && fitStatus->GetNbinsX() == 4) { // only available in chi2 fit | |
3098 | Float_t chi(fitStatus->GetBinContent(1)); | |
3099 | Float_t pen(fitStatus->GetBinContent(2)); | |
d7ec324f | 3100 | Int_t dof((int)fitStatus->GetBinContent(3)); |
53547ff2 RAB |
3101 | Float_t beta(fitStatus->GetBinContent(4)); |
3102 | l->AddEntry((TObject*)0, Form("#chi %.2f \tP %.2f \tDOF %i, #beta %.2f", chi, pen, dof, beta), ""); | |
3103 | } else if (fitStatus) { // only available in SVD fit | |
3104 | Int_t reg((int)fitStatus->GetBinContent(1)); | |
3105 | l->AddEntry((TObject*)0, Form("REG %i", reg), ""); | |
d7ec324f | 3106 | } |
3107 | } | |
3108 | } | |
3109 | if(tempOut) { | |
3110 | TH2D* pOut((TH2D*)tempOut->Get(Form("PearsonCoefficients_out_%s", dirName.Data()))); | |
3111 | if(pOut) { | |
3112 | printf(" - %s out of plane converged \n", dirName.Data()); | |
3113 | canvasOut->cd(j); | |
3114 | Style(gPad, "PEARSON"); | |
3115 | pOut->DrawCopy("colz"); | |
3116 | TGraphErrors* rOut((TGraphErrors*)tempOut->Get(Form("RatioRefoldedMeasured_%s", dirName.Data()))); | |
3117 | if(rOut) { | |
53547ff2 | 3118 | Style(rOut); |
d7ec324f | 3119 | printf(" > found RatioRefoldedMeasured < \n"); |
3120 | canvasRatioMeasuredRefoldedOut->cd(j); | |
ab474fb0 | 3121 | rOut->SetFillColor(kRed); |
3122 | rOut->Draw("ap"); | |
d7ec324f | 3123 | } |
3124 | TH1D* dvector((TH1D*)tempOut->Get("dVector")); | |
3125 | TH1D* avalue((TH1D*)tempOut->Get("SingularValuesOfAC")); | |
3126 | TH2D* rm((TH2D*)tempOut->Get(Form("ResponseMatrixOut_%s", dirName.Data()))); | |
3127 | TH1D* eff((TH1D*)tempOut->Get(Form("KinematicEfficiencyOut_%s", dirName.Data()))); | |
3128 | if(dvector && avalue && rm && eff) { | |
53547ff2 RAB |
3129 | Style(dvector); |
3130 | Style(avalue); | |
3131 | Style(rm); | |
3132 | Style(eff); | |
d7ec324f | 3133 | canvasMISC->cd(5); |
3134 | Style(gPad, "SPECTRUM"); | |
3135 | dvector->DrawCopy(); | |
3136 | canvasMISC->cd(6); | |
3137 | Style(gPad, "SPECTRUM"); | |
3138 | avalue->DrawCopy(); | |
3139 | canvasMISC->cd(7); | |
3140 | Style(gPad, "PEARSON"); | |
3141 | rm->DrawCopy("colz"); | |
3142 | canvasMISC->cd(8); | |
2835b296 | 3143 | Style(gPad, "GRID"); |
d7ec324f | 3144 | eff->DrawCopy(); |
53547ff2 RAB |
3145 | } else if(rm && eff) { |
3146 | Style(rm); | |
3147 | Style(eff); | |
549b5f40 | 3148 | canvasMISC->cd(7); |
53547ff2 RAB |
3149 | Style(gPad, "PEARSON"); |
3150 | rm->DrawCopy("colz"); | |
549b5f40 | 3151 | canvasMISC->cd(8); |
2835b296 | 3152 | Style(gPad, "GRID"); |
53547ff2 | 3153 | eff->DrawCopy(); |
d7ec324f | 3154 | } |
3155 | } | |
3156 | TH1D* inputSpectrum((TH1D*)tempOut->Get(Form("InputSpectrum_out_%s", dirName.Data()))); | |
3157 | TH1D* unfoldedSpectrum((TH1D*)tempOut->Get(Form("UnfoldedSpectrum_out_%s", dirName.Data()))); | |
3158 | TH1D* refoldedSpectrum((TH1D*)tempOut->Get(Form("RefoldedSpectrum_out_%s", dirName.Data()))); | |
3159 | if(inputSpectrum && unfoldedSpectrum && refoldedSpectrum) { | |
ab474fb0 | 3160 | if(defaultUnfoldedJetSpectrumOut) { |
3161 | Style(defaultUnfoldedJetSpectrumOut, kBlue, kUnfoldedSpectrum); | |
3162 | TH1D* temp((TH1D*)defaultUnfoldedJetSpectrumOut->Clone(Form("defaultUnfoldedJetSpectrumOut_%s", dirName.Data()))); | |
d7ec324f | 3163 | temp->Divide(unfoldedSpectrum); |
3164 | temp->SetTitle(Form("ratio default unfolded / %s", dirName.Data())); | |
f3ba6c8e | 3165 | temp->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
d7ec324f | 3166 | temp->GetYaxis()->SetTitle(Form("%s / %s", def.Data(), dirName.Data())); |
3167 | canvasMasterOut->cd(j); | |
ab474fb0 | 3168 | temp->GetYaxis()->SetRangeUser(0., 2.); |
d7ec324f | 3169 | temp->DrawCopy(); |
3170 | } | |
3171 | TH1F* fitStatus((TH1F*)tempOut->Get(Form("fitStatus_%s_out", dirName.Data()))); | |
3172 | canvasSpectraOut->cd(j); | |
3173 | Style(gPad); | |
53547ff2 | 3174 | Style(unfoldedSpectrum, kRed, kUnfoldedSpectrum); |
d7ec324f | 3175 | unfoldedSpectrum->DrawCopy(); |
53547ff2 | 3176 | Style(inputSpectrum, kGreen, kMeasuredSpectrum); |
d7ec324f | 3177 | inputSpectrum->DrawCopy("same"); |
53547ff2 | 3178 | Style(refoldedSpectrum, kBlue, kFoldedSpectrum); |
d7ec324f | 3179 | refoldedSpectrum->DrawCopy("same"); |
3180 | TLegend* l(AddLegend(gPad)); | |
53547ff2 RAB |
3181 | Style(l); |
3182 | if(fitStatus && fitStatus->GetNbinsX() == 4) { // only available in chi2 fit | |
3183 | Float_t chi(fitStatus->GetBinContent(1)); | |
3184 | Float_t pen(fitStatus->GetBinContent(2)); | |
3185 | Int_t dof((int)fitStatus->GetBinContent(3)); | |
3186 | Float_t beta(fitStatus->GetBinContent(4)); | |
3187 | l->AddEntry((TObject*)0, Form("#chi %.2f \tP %.2f \tDOF %i, #beta %.2f", chi, pen, dof, beta), ""); | |
3188 | } else if (fitStatus) { // only available in SVD fit | |
3189 | Int_t reg((int)fitStatus->GetBinContent(1)); | |
3190 | l->AddEntry((TObject*)0, Form("REG %i", reg), ""); | |
d7ec324f | 3191 | } |
3192 | } | |
3193 | } | |
5e11c41c | 3194 | if(canvasRatio && canvasV2) { |
3195 | canvasRatio->cd(j); | |
3196 | TGraphErrors* ratioYield((TGraphErrors*)tempDir->Get(Form("RatioInOutPlane_%s", dirName.Data()))); | |
87233f72 | 3197 | Double_t _tempx(0), _tempy(0); |
5e11c41c | 3198 | if(ratioYield) { |
3199 | Style(ratioYield); | |
87233f72 | 3200 | for(Int_t b(0); b < fBinsTrue->GetSize(); b++) { |
a39e4b2b | 3201 | ratioYield->GetPoint(b, _tempx, _tempy); |
87233f72 | 3202 | ratioProfile->Fill(_tempx, _tempy); |
3203 | } | |
9f892925 | 3204 | ratioProfile->GetYaxis()->SetRangeUser(-0., 2.); |
87233f72 | 3205 | ratioProfile->GetXaxis()->SetRangeUser(rangeLow, rangeUp); |
9f892925 | 3206 | ratioYield->GetYaxis()->SetRangeUser(-0., 2.); |
87233f72 | 3207 | ratioYield->GetXaxis()->SetRangeUser(rangeLow, rangeUp); |
ab474fb0 | 3208 | ratioYield->SetFillColor(kRed); |
3209 | ratioYield->Draw("ap"); | |
5e11c41c | 3210 | } |
3211 | canvasV2->cd(j); | |
3212 | TGraphErrors* ratioV2((TGraphErrors*)tempDir->Get(Form("v2_%s", dirName.Data()))); | |
3213 | if(ratioV2) { | |
3214 | Style(ratioV2); | |
87233f72 | 3215 | for(Int_t b(0); b < fBinsTrue->GetSize(); b++) { |
a39e4b2b | 3216 | ratioV2->GetPoint(b, _tempx, _tempy); |
87233f72 | 3217 | v2Profile->Fill(_tempx, _tempy); |
3218 | ||
3219 | } | |
9f892925 | 3220 | v2Profile->GetYaxis()->SetRangeUser(-0., 2.); |
87233f72 | 3221 | v2Profile->GetXaxis()->SetRangeUser(rangeLow, rangeUp); |
5e11c41c | 3222 | ratioV2->GetYaxis()->SetRangeUser(-.25, .75); |
87233f72 | 3223 | ratioV2->GetXaxis()->SetRangeUser(rangeLow, rangeUp); |
ab474fb0 | 3224 | ratioV2->SetFillColor(kRed); |
3225 | ratioV2->Draw("ap"); | |
5e11c41c | 3226 | } |
d7ec324f | 3227 | } |
3228 | } | |
3229 | TFile output(out.Data(), "RECREATE"); | |
87233f72 | 3230 | canvasProfiles->cd(1); |
3231 | Style(ratioProfile); | |
3232 | ratioProfile->DrawCopy(); | |
3233 | canvasProfiles->cd(2); | |
3234 | Style(v2Profile); | |
3235 | v2Profile->DrawCopy(); | |
3236 | SavePadToPDF(canvasProfiles); | |
3237 | canvasProfiles->Write(); | |
512ced40 | 3238 | SavePadToPDF(canvasIn); |
d7ec324f | 3239 | canvasIn->Write(); |
5e11c41c | 3240 | if(canvasOut) { |
3241 | SavePadToPDF(canvasOut); | |
3242 | canvasOut->Write(); | |
3243 | } | |
512ced40 | 3244 | SavePadToPDF(canvasRatioMeasuredRefoldedIn); |
d7ec324f | 3245 | canvasRatioMeasuredRefoldedIn->Write(); |
5e11c41c | 3246 | if(canvasRatioMeasuredRefoldedOut) { |
3247 | SavePadToPDF(canvasRatioMeasuredRefoldedOut); | |
3248 | canvasRatioMeasuredRefoldedOut->Write(); | |
3249 | } | |
512ced40 | 3250 | SavePadToPDF(canvasSpectraIn); |
d7ec324f | 3251 | canvasSpectraIn->Write(); |
5e11c41c | 3252 | if(canvasSpectraOut) { |
3253 | SavePadToPDF(canvasSpectraOut); | |
3254 | canvasSpectraOut->Write(); | |
3255 | SavePadToPDF(canvasRatio); | |
3256 | canvasRatio->Write(); | |
3257 | SavePadToPDF(canvasV2); | |
3258 | canvasV2->Write(); | |
3259 | } | |
512ced40 | 3260 | SavePadToPDF(canvasMasterIn); |
d7ec324f | 3261 | canvasMasterIn->Write(); |
5e11c41c | 3262 | if(canvasMasterOut) { |
3263 | SavePadToPDF(canvasMasterOut); | |
3264 | canvasMasterOut->Write(); | |
3265 | } | |
512ced40 | 3266 | SavePadToPDF(canvasMISC); |
d7ec324f | 3267 | canvasMISC->Write(); |
3268 | output.Write(); | |
3269 | output.Close(); | |
3270 | } | |
3271 | //_____________________________________________________________________________ | |
4292ca60 | 3272 | Bool_t AliJetFlowTools::SetRawInput ( |
3273 | TH2D* detectorResponse, // detector response matrix | |
3274 | TH1D* jetPtIn, // in plane jet spectrum | |
3275 | TH1D* jetPtOut, // out of plane jet spectrum | |
3276 | TH1D* dptIn, // in plane delta pt distribution | |
3277 | TH1D* dptOut, // out of plane delta pt distribution | |
3278 | Int_t eventCount) { | |
3279 | // set input histograms manually | |
3280 | fDetectorResponse = detectorResponse; | |
3281 | fSpectrumIn = jetPtIn; | |
3282 | fSpectrumOut = jetPtOut; | |
3283 | fDptInDist = dptIn; | |
3284 | fDptOutDist = dptOut; | |
3285 | fRawInputProvided = kTRUE; | |
3286 | // check if all data is provided | |
3287 | if(!fDetectorResponse) { | |
3288 | printf(" fDetectorResponse not found \n "); | |
3289 | return kFALSE; | |
3290 | } | |
3291 | // check if the pt bin for true and rec have been set | |
3292 | if(!fBinsTrue || !fBinsRec) { | |
3293 | printf(" No true or rec bins set, please set binning ! \n"); | |
3294 | return kFALSE; | |
3295 | } | |
3296 | if(!fRMSSpectrumIn) { // initialie the profiles which will hold the RMS values. if binning changes in between unfolding | |
a39e4b2b | 3297 | // procedures, these profiles will be nonsensical, user is responsible |
4292ca60 | 3298 | fRMSSpectrumIn = new TProfile("fRMSSpectrumIn", "fRMSSpectrumIn", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); |
3299 | fRMSSpectrumOut = new TProfile("fRMSSpectrumOut", "fRMSSpectrumOut", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
3300 | fRMSRatio = new TProfile("fRMSRatio", "fRMSRatio", fBinsTrue->GetSize()-1, fBinsTrue->GetArray()); | |
3301 | } | |
3302 | // normalize spectra to event count if requested | |
3303 | if(fNormalizeSpectra) { | |
3304 | fEventCount = eventCount; | |
3305 | if(fEventCount > 0) { | |
3306 | fSpectrumIn->Sumw2(); // necessary for correct error propagation of scale | |
3307 | fSpectrumOut->Sumw2(); | |
3308 | fSpectrumIn->Scale(1./((double)fEventCount)); | |
3309 | fSpectrumOut->Scale(1./((double)fEventCount)); | |
3310 | } | |
3311 | } | |
3312 | if(!fNormalizeSpectra && fEventCount > 0) { | |
3313 | fSpectrumIn->Sumw2(); // necessary for correct error propagation of scale | |
3314 | fSpectrumOut->Sumw2(); | |
3315 | fSpectrumIn->Scale(1./((double)fEventCount)); | |
3316 | fSpectrumOut->Scale(1./((double)fEventCount)); | |
3317 | } | |
3318 | fDptIn = ConstructDPtResponseFromTH1D(fDptInDist, fAvoidRoundingError); | |
c03f7598 | 3319 | fDptIn->SetNameTitle(Form("dpt_response_INPLANE_%i", fCentralityArray->At(0)), Form("dpt_response_INPLANE_%i", fCentralityArray->At(0))); |
f3ba6c8e | 3320 | fDptIn->GetXaxis()->SetTitle("p_{T, jet}^{gen} [GeV/c]"); |
3321 | fDptIn->GetYaxis()->SetTitle("p_{T, jet}^{rec} [GeV/c]"); | |
4292ca60 | 3322 | fDptOut = ConstructDPtResponseFromTH1D(fDptOutDist, fAvoidRoundingError); |
c03f7598 | 3323 | fDptOut->SetNameTitle(Form("dpt_response_OUTOFPLANE_%i", fCentralityArray->At(0)), Form("dpt_response_OUTOFPLANE_%i", fCentralityArray->At(0))); |
f3ba6c8e | 3324 | fDptOut->GetXaxis()->SetTitle("p_{T, jet}^{gen} [GeV/c]"); |
3325 | fDptOut->GetYaxis()->SetTitle("p_{T, jet}^{rec} [GeV/c]"); | |
4292ca60 | 3326 | |
3327 | return kTRUE; | |
3328 | } | |
3329 | //_____________________________________________________________________________ | |
3330 | TGraphErrors* AliJetFlowTools::GetRatio(TH1 *h1, TH1* h2, TString name, Bool_t appendFit, Int_t xmax) | |
dc1455ee | 3331 | { |
ef12d5a5 | 3332 | // return ratio of h1 / h2 |
3333 | // histograms can have different binning. errors are propagated as uncorrelated | |
20abfcc4 | 3334 | if(!(h1 && h2) ) { |
3335 | printf(" GetRatio called with NULL argument(s) \n "); | |
3336 | return 0x0; | |
3337 | } | |
ad04a83c | 3338 | Int_t j(0); |
4292ca60 | 3339 | TGraphErrors *gr = new TGraphErrors(); |
f3ba6c8e | 3340 | gr->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
ef12d5a5 | 3341 | Double_t binCent(0.), ratio(0.), error2(0.), binWidth(0.); |
7bf39895 | 3342 | TH1* dud((TH1*)h1->Clone("dud")); |
486fb24e | 3343 | dud->Sumw2(); |
3344 | h1->Sumw2(); | |
3345 | h2->Sumw2(); | |
3346 | if(!dud->Divide(h1, h2)) { | |
3347 | printf(" > ROOT failed to divide two histogams, dividing manually \n < "); | |
7bf39895 | 3348 | for(Int_t i(1); i <= h1->GetNbinsX(); i++) { |
3349 | binCent = h1->GetXaxis()->GetBinCenter(i); | |
3350 | if(xmax > 0. && binCent > xmax) continue; | |
3351 | j = h2->FindBin(binCent); | |
3352 | binWidth = h1->GetXaxis()->GetBinWidth(i); | |
3353 | if(h2->GetBinContent(j) > 0.) { | |
3354 | ratio = h1->GetBinContent(i)/h2->GetBinContent(j); | |
7bf39895 | 3355 | Double_t A = h1->GetBinError(i)/h1->GetBinContent(i); |
3356 | Double_t B = h2->GetBinError(i)/h2->GetBinContent(i); | |
3357 | error2 = ratio*ratio*A*A+ratio*ratio*B*B; | |
3358 | if(error2 > 0 ) error2 = TMath::Sqrt(error2); | |
35c03ef1 | 3359 | gr->SetPoint(i-1, binCent, ratio); |
3360 | gr->SetPointError(i-1, 0.5*binWidth, error2); | |
7bf39895 | 3361 | } |
3362 | } | |
3363 | } else { | |
486fb24e | 3364 | printf( " > using ROOT to divide two histograms < \n"); |
7bf39895 | 3365 | for(Int_t i(1); i <= h1->GetNbinsX(); i++) { |
3366 | binCent = dud->GetXaxis()->GetBinCenter(i); | |
3367 | if(xmax > 0. && binCent > xmax) continue; | |
3368 | binWidth = dud->GetXaxis()->GetBinWidth(i); | |
35c03ef1 | 3369 | gr->SetPoint(i-1,binCent,dud->GetBinContent(i)); |
3370 | gr->SetPointError(i-1, 0.5*binWidth,dud->GetBinError(i)); | |
dc1455ee | 3371 | } |
3372 | } | |
7bf39895 | 3373 | |
ad04a83c | 3374 | if(appendFit) { |
4292ca60 | 3375 | TF1* fit(new TF1("lin", "pol0", 10, 100)); |
ad04a83c | 3376 | gr->Fit(fit); |
3377 | } | |
4292ca60 | 3378 | if(strcmp(name, "")) gr->SetNameTitle(name.Data(), name.Data()); |
7bf39895 | 3379 | if(dud) delete dud; |
dc1455ee | 3380 | return gr; |
3381 | } | |
3382 | //_____________________________________________________________________________ | |
ef12d5a5 | 3383 | TGraphErrors* AliJetFlowTools::GetV2(TH1 *h1, TH1* h2, Double_t r, TString name) |
3384 | { | |
3385 | // get v2 from difference of in plane, out of plane yield | |
3386 | // h1 must hold the in-plane yield, h2 holds the out of plane yield | |
549b5f40 RAB |
3387 | // different binning is allowed but will mean that the error |
3388 | // propagation is unreliable | |
ef12d5a5 | 3389 | // r is the event plane resolution for the chosen centrality |
3390 | if(!(h1 && h2) ) { | |
3391 | printf(" GetV2 called with NULL argument(s) \n "); | |
3392 | return 0x0; | |
3393 | } | |
ef12d5a5 | 3394 | TGraphErrors *gr = new TGraphErrors(); |
f3ba6c8e | 3395 | gr->GetXaxis()->SetTitle("p_{T, jet} [GeV/c]"); |
ef12d5a5 | 3396 | Float_t binCent(0.), ratio(0.), error2(0.), binWidth(0.); |
3397 | Double_t pre(TMath::Pi()/(4.*r)), in(0.), out(0.), ein(0.), eout(0.); | |
35c03ef1 | 3398 | |
ef12d5a5 | 3399 | for(Int_t i(1); i <= h1->GetNbinsX(); i++) { |
3400 | binCent = h1->GetXaxis()->GetBinCenter(i); | |
ef12d5a5 | 3401 | binWidth = h1->GetXaxis()->GetBinWidth(i); |
35c03ef1 | 3402 | if(h2->GetBinContent(i) > 0.) { |
ef12d5a5 | 3403 | in = h1->GetBinContent(i); |
3404 | ein = h1->GetBinError(i); | |
35c03ef1 | 3405 | out = h2->GetBinContent(i); |
35c03ef1 | 3406 | eout = h2->GetBinError(i); |
ef12d5a5 | 3407 | ratio = pre*((in-out)/(in+out)); |
35c03ef1 | 3408 | error2 = (4.*out*out/(TMath::Power(in+out, 4)))*ein*ein+(4.*in*in/(TMath::Power(in+out, 4)))*eout*eout; |
3409 | error2 = error2*pre*pre; | |
ef12d5a5 | 3410 | if(error2 > 0) error2 = TMath::Sqrt(error2); |
35c03ef1 | 3411 | gr->SetPoint(i-1,binCent,ratio); |
3412 | gr->SetPointError(i-1,0.5*binWidth,error2); | |
ef12d5a5 | 3413 | } |
3414 | } | |
3415 | if(strcmp(name, "")) gr->SetNameTitle(name.Data(), name.Data()); | |
3416 | return gr; | |
3417 | } | |
3418 | //_____________________________________________________________________________ | |
a39e4b2b | 3419 | TGraphAsymmErrors* AliJetFlowTools::GetV2WithSystematicErrors( |
3420 | TH1* h1, TH1* h2, Double_t r, TString name, | |
3421 | TH1* relativeErrorInUp, | |
3422 | TH1* relativeErrorInLow, | |
3423 | TH1* relativeErrorOutUp, | |
24af86e7 | 3424 | TH1* relativeErrorOutLow, |
3425 | Float_t rho) const | |
a39e4b2b | 3426 | { |
3427 | // get v2 with asymmetric systematic error | |
3428 | // note that this is ONLY the systematic error, no statistical error! | |
24af86e7 | 3429 | // rho is the pearson correlation coefficient |
a39e4b2b | 3430 | TGraphErrors* tempV2(GetV2(h1, h2, r, name)); |
3431 | Double_t* ax = new Double_t[fBinsTrue->GetSize()-1]; | |
3432 | Double_t* ay = new Double_t[fBinsTrue->GetSize()-1]; | |
3433 | Double_t* axh = new Double_t[fBinsTrue->GetSize()-1]; | |
3434 | Double_t* axl = new Double_t[fBinsTrue->GetSize()-1]; | |
3435 | Double_t* ayh = new Double_t[fBinsTrue->GetSize()-1]; | |
3436 | Double_t* ayl = new Double_t[fBinsTrue->GetSize()-1]; | |
3437 | Double_t in(0.), out(0.), einUp(0.), einLow(0.), eoutUp(0.), eoutLow(0.), error2Up(0.), error2Low(0.); | |
3438 | // loop through the bins and do error propagation | |
3439 | for(Int_t i(0); i < fBinsTrue->GetSize()-1; i++) { | |
3440 | // extract the absolute errors | |
3441 | in = h1->GetBinContent(i+1); | |
5159ed9e | 3442 | einUp = TMath::Abs(in*relativeErrorInUp->GetBinContent(i+1)); |
3443 | einLow = TMath::Abs(in*relativeErrorInLow->GetBinContent(1+i)); | |
a39e4b2b | 3444 | out = h2->GetBinContent(i+1); |
5159ed9e | 3445 | eoutUp = TMath::Abs(out*relativeErrorOutUp->GetBinContent(1+i)); |
3446 | eoutLow = TMath::Abs(out*relativeErrorOutLow->GetBinContent(1+i)); | |
a39e4b2b | 3447 | // get the error squared |
b3b03df7 | 3448 | if(rho <= 0) { |
3449 | error2Up = TMath::Power(((r*4.)/(TMath::Pi())),-2.)*((4.*out*out/(TMath::Power(in+out, 4)))*einUp*einUp+(4.*in*in/(TMath::Power(in+out, 4)))*eoutLow*eoutLow); | |
3450 | error2Low =TMath::Power(((r*4.)/(TMath::Pi())),-2.)*((4.*out*out/(TMath::Power(in+out, 4)))*einLow*einLow+(4.*in*in/(TMath::Power(in+out, 4)))*eoutUp*eoutUp); | |
3451 | } else { | |
3452 | error2Up = TMath::Power(((r*4.)/(TMath::Pi())),-2.)*((4.*out*out/(TMath::Power(in+out, 4)))*einUp*einUp+(4.*in*in/(TMath::Power(in+out, 4)))*eoutUp*eoutUp-((8.*out*in)/(TMath::Power(in+out, 4)))*rho*einUp*eoutUp); | |
3453 | error2Low =TMath::Power(((r*4.)/(TMath::Pi())),-2.)*((4.*out*out/(TMath::Power(in+out, 4)))*einLow*einLow+(4.*in*in/(TMath::Power(in+out, 4)))*eoutLow*eoutLow-((8.*out*in)/(TMath::Power(in+out, 4)))*rho*einLow*eoutLow); | |
3454 | } | |
a39e4b2b | 3455 | if(error2Up > 0) error2Up = TMath::Sqrt(error2Up); |
3456 | if(error2Low > 0) error2Low = TMath::Sqrt(error2Low); | |
3457 | // set the errors | |
3458 | ayh[i] = error2Up; | |
3459 | ayl[i] = error2Low; | |
3460 | // get the bin width (which is the 'error' on x) | |
3461 | Double_t binWidth(h1->GetBinWidth(i+1)); | |
3462 | axl[i] = binWidth/2.; | |
3463 | axh[i] = binWidth/2.; | |
3464 | // now get the coordinate for the poin | |
3465 | tempV2->GetPoint(i, ax[i], ay[i]); | |
3466 | } | |
3467 | // save the nominal ratio | |
3468 | TGraphAsymmErrors* nominalError(new TGraphAsymmErrors(fBinsTrue->GetSize()-1, ax, ay, axl, axh, ayl, ayh)); | |
3469 | nominalError->SetName("v_{2} with shape uncertainty"); | |
3470 | // do some memory management | |
3471 | delete tempV2; | |
3472 | delete[] ax; | |
3473 | delete[] ay; | |
3474 | delete[] axh; | |
3475 | delete[] axl; | |
3476 | delete[] ayh; | |
3477 | delete[] ayl; | |
3478 | ||
3479 | return nominalError; | |
3480 | } | |
3481 | //_____________________________________________________________________________ | |
549b5f40 RAB |
3482 | void AliJetFlowTools::WriteObject(TObject* object, TString suffix, Bool_t kill) { |
3483 | // write object, if a unique identifier is given the object is cloned | |
3484 | // and the clone is saved. setting kill to true will delete the original obect from the heap | |
4292ca60 | 3485 | if(!object) { |
3486 | printf(" > WriteObject:: called with NULL arguments \n "); | |
3487 | return; | |
549b5f40 RAB |
3488 | } else if(!strcmp("", suffix.Data())) object->Write(); |
3489 | else { | |
3490 | TObject* newObject(object->Clone(Form("%s_%s", object->GetName(), suffix.Data()))); | |
3491 | newObject->Write(); | |
3492 | } | |
3493 | if(kill) delete object; | |
4292ca60 | 3494 | } |
3495 | //_____________________________________________________________________________ | |
3496 | TH2D* AliJetFlowTools::ConstructDPtResponseFromTH1D(TH1D* dpt, Bool_t AvoidRoundingError) { | |
3497 | // construt a delta pt response matrix from supplied dpt distribution | |
3498 | // binning is fine, set fBinsTrue and fBinsRec and call 'RebinTH2D' to | |
3499 | // do a weighted rebinning to a (coarser) dpt distribution | |
3500 | // be careful with the binning of the dpt response: it should be equal to that | |
3501 | // of the response matrix, otherwise dpt and response matrices cannot be multiplied | |
3502 | // | |
3503 | // the response matrix will be square and have the same binning | |
3504 | // (min, max and granularity) of the input histogram | |
3505 | Int_t bins(dpt->GetXaxis()->GetNbins()); // number of bins, will also be no of rows, columns | |
3506 | Double_t _bins[bins+1]; // prepare array with bin borders | |
3507 | for(Int_t i(0); i < bins; i++) _bins[i] = dpt->GetBinLowEdge(i+1); | |
3508 | _bins[bins] = dpt->GetBinLowEdge(bins)+dpt->GetBinWidth(bins+1); // get upper edge | |
3509 | TH2D* res(new TH2D(Form("Response_from_%s", dpt->GetName()), Form("Response_from_%s", dpt->GetName()), bins, _bins, bins, _bins)); | |
3510 | for(Int_t j(0); j < bins+1; j++) { // loop on pt true slices j | |
3511 | Bool_t skip = kFALSE; | |
3512 | for(Int_t k(0); k < bins+1; k++) { // loop on pt gen slices k | |
3513 | (skip) ? res->SetBinContent(j, k, 0.) : res->SetBinContent(j, k, dpt->GetBinContent(dpt->GetXaxis()->FindBin(k-j))); | |
3514 | if(AvoidRoundingError && k > j && TMath::AreEqualAbs(dpt->GetBinContent(dpt->GetBinContent(k-j)), 0, 1e-8)) skip = kTRUE; | |
3515 | } | |
3516 | } | |
3517 | return res; | |
3518 | } | |
ef12d5a5 | 3519 | //_____________________________________________________________________________ |
3520 | TH2D* AliJetFlowTools::GetUnityResponse(TArrayD* binsTrue, TArrayD* binsRec, TString suffix) { | |
3521 | if(!binsTrue || !binsRec) { | |
3522 | printf(" > GetUnityResponse:: function called with NULL arguments < \n"); | |
3523 | return 0x0; | |
3524 | } | |
3525 | TString name(Form("unityResponse_%s", suffix.Data())); | |
3526 | TH2D* unity(new TH2D(name.Data(), name.Data(), binsTrue->GetSize()-1, binsTrue->GetArray(), binsRec->GetSize()-1, binsRec->GetArray())); | |
3527 | for(Int_t i(0); i < binsTrue->GetSize(); i++) { | |
3528 | for(Int_t j(0); j < binsRec->GetSize(); j++) { | |
3529 | if(i==j) unity->SetBinContent(1+i, 1+j, 1.); | |
3530 | } | |
3531 | } | |
3532 | return unity; | |
3533 | } | |
4292ca60 | 3534 | //_____________________________________________________________________________ |
549b5f40 | 3535 | void AliJetFlowTools::SaveConfiguration(Bool_t convergedIn, Bool_t convergedOut) const { |
4292ca60 | 3536 | // save configuration parameters to histogram |
549b5f40 | 3537 | TH1F* summary = new TH1F("UnfoldingConfiguration","UnfoldingConfiguration", 20, -.5, 19.5); |
ef12d5a5 | 3538 | summary->SetBinContent(1, fBetaIn); |
3539 | summary->GetXaxis()->SetBinLabel(1, "fBetaIn"); | |
3540 | summary->SetBinContent(2, fBetaOut); | |
3541 | summary->GetXaxis()->SetBinLabel(2, "fBetaOut"); | |
c03f7598 | 3542 | summary->SetBinContent(3, fCentralityArray->At(0)); |
3543 | summary->GetXaxis()->SetBinLabel(3, "fCentralityArray[0]"); | |
ef12d5a5 | 3544 | summary->SetBinContent(4, (int)convergedIn); |
3545 | summary->GetXaxis()->SetBinLabel(4, "convergedIn"); | |
3546 | summary->SetBinContent(5, (int)convergedOut); | |
3547 | summary->GetXaxis()->SetBinLabel(5, "convergedOut"); | |
3548 | summary->SetBinContent(6, (int)fAvoidRoundingError); | |
3549 | summary->GetXaxis()->SetBinLabel(6, "fAvoidRoundingError"); | |
3550 | summary->SetBinContent(7, (int)fUnfoldingAlgorithm); | |
3551 | summary->GetXaxis()->SetBinLabel(7, "fUnfoldingAlgorithm"); | |
3552 | summary->SetBinContent(8, (int)fPrior); | |
3553 | summary->GetXaxis()->SetBinLabel(8, "fPrior"); | |
3554 | summary->SetBinContent(9, fSVDRegIn); | |
3555 | summary->GetXaxis()->SetBinLabel(9, "fSVDRegIn"); | |
3556 | summary->SetBinContent(10, fSVDRegOut); | |
3557 | summary->GetXaxis()->SetBinLabel(10, "fSVDRegOut"); | |
3558 | summary->SetBinContent(11, (int)fSVDToy); | |
3559 | summary->GetXaxis()->SetBinLabel(11, "fSVDToy"); | |
3560 | summary->SetBinContent(12, fJetRadius); | |
3561 | summary->GetXaxis()->SetBinLabel(12, "fJetRadius"); | |
3562 | summary->SetBinContent(13, (int)fNormalizeSpectra); | |
3563 | summary->GetXaxis()->SetBinLabel(13, "fNormalizeSpectra"); | |
549b5f40 RAB |
3564 | summary->SetBinContent(14, (int)fSmoothenPrior); |
3565 | summary->GetXaxis()->SetBinLabel(14, "fSmoothenPrior"); | |
ef12d5a5 | 3566 | summary->SetBinContent(15, (int)fTestMode); |
3567 | summary->GetXaxis()->SetBinLabel(15, "fTestMode"); | |
3568 | summary->SetBinContent(16, (int)fUseDetectorResponse); | |
3569 | summary->GetXaxis()->SetBinLabel(16, "fUseDetectorResponse"); | |
549b5f40 RAB |
3570 | summary->SetBinContent(17, fBayesianIterIn); |
3571 | summary->GetXaxis()->SetBinLabel(17, "fBayesianIterIn"); | |
3572 | summary->SetBinContent(18, fBayesianIterOut); | |
3573 | summary->GetXaxis()->SetBinLabel(18, "fBayesianIterOut"); | |
3574 | summary->SetBinContent(19, fBayesianSmoothIn); | |
3575 | summary->GetXaxis()->SetBinLabel(19, "fBayesianSmoothIn"); | |
3576 | summary->SetBinContent(20, fBayesianSmoothOut); | |
3577 | summary->GetXaxis()->SetBinLabel(20, "fBayesianSmoothOut"); | |
4292ca60 | 3578 | } |
3579 | //_____________________________________________________________________________ | |
3580 | void AliJetFlowTools::ResetAliUnfolding() { | |
3581 | // ugly function: reset all unfolding parameters | |
3582 | TVirtualFitter* fitter(TVirtualFitter::GetFitter()); | |
3583 | if(fitter) { | |
3584 | printf(" > Found fitter, will delete it < \n"); | |
3585 | delete fitter; | |
3586 | } | |
d7ec324f | 3587 | if(gMinuit) { |
3588 | printf(" > Found gMinuit, will re-create it < \n"); | |
3589 | delete gMinuit; | |
3590 | gMinuit = new TMinuit; | |
3591 | } | |
4292ca60 | 3592 | AliUnfolding::fgCorrelationMatrix = 0; |
3593 | AliUnfolding::fgCorrelationMatrixSquared = 0; | |
3594 | AliUnfolding::fgCorrelationCovarianceMatrix = 0; | |
3595 | AliUnfolding::fgCurrentESDVector = 0; | |
3596 | AliUnfolding::fgEntropyAPriori = 0; | |
3597 | AliUnfolding::fgEfficiency = 0; | |
3598 | AliUnfolding::fgUnfoldedAxis = 0; | |
3599 | AliUnfolding::fgMeasuredAxis = 0; | |
3600 | AliUnfolding::fgFitFunction = 0; | |
3601 | AliUnfolding::fgMaxInput = -1; | |
3602 | AliUnfolding::fgMaxParams = -1; | |
3603 | AliUnfolding::fgOverflowBinLimit = -1; | |
3604 | AliUnfolding::fgRegularizationWeight = 10000; | |
3605 | AliUnfolding::fgSkipBinsBegin = 0; | |
3606 | AliUnfolding::fgMinuitStepSize = 0.1; | |
3607 | AliUnfolding::fgMinuitPrecision = 1e-6; | |
3608 | AliUnfolding::fgMinuitMaxIterations = 1000000; | |
3609 | AliUnfolding::fgMinuitStrategy = 1.; | |
3610 | AliUnfolding::fgMinimumInitialValue = kFALSE; | |
3611 | AliUnfolding::fgMinimumInitialValueFix = -1; | |
3612 | AliUnfolding::fgNormalizeInput = kFALSE; | |
3613 | AliUnfolding::fgNotFoundEvents = 0; | |
3614 | AliUnfolding::fgSkipBin0InChi2 = kFALSE; | |
3615 | AliUnfolding::fgBayesianSmoothing = 1; | |
3616 | AliUnfolding::fgBayesianIterations = 10; | |
3617 | AliUnfolding::fgDebug = kFALSE; | |
3618 | AliUnfolding::fgCallCount = 0; | |
3619 | AliUnfolding::fgPowern = 5; | |
3620 | AliUnfolding::fChi2FromFit = 0.; | |
3621 | AliUnfolding::fPenaltyVal = 0.; | |
3622 | AliUnfolding::fAvgResidual = 0.; | |
3623 | AliUnfolding::fgPrintChi2Details = 0; | |
3624 | AliUnfolding::fgCanvas = 0; | |
3625 | AliUnfolding::fghUnfolded = 0; | |
3626 | AliUnfolding::fghCorrelation = 0; | |
3627 | AliUnfolding::fghEfficiency = 0; | |
3628 | AliUnfolding::fghMeasured = 0; | |
3629 | AliUnfolding::SetMinuitStepSize(1.); | |
3630 | AliUnfolding::SetMinuitPrecision(1e-6); | |
3631 | AliUnfolding::SetMinuitMaxIterations(100000); | |
3632 | AliUnfolding::SetMinuitStrategy(2.); | |
3633 | AliUnfolding::SetDebug(1); | |
3634 | } | |
3635 | //_____________________________________________________________________________ | |
f3ba6c8e | 3636 | TH1D* AliJetFlowTools::ProtectHeap(TH1D* protect, Bool_t kill, TString suffix) const { |
4292ca60 | 3637 | // protect heap by adding unique qualifier to name |
3638 | if(!protect) return 0x0; | |
3639 | TH1D* p = (TH1D*)protect->Clone(); | |
ef12d5a5 | 3640 | TString tempString(fActiveString); |
3641 | tempString+=suffix; | |
3642 | p->SetName(Form("%s_%s", protect->GetName(), tempString.Data())); | |
3643 | p->SetTitle(Form("%s_%s", protect->GetTitle(), tempString.Data())); | |
4292ca60 | 3644 | if(kill) delete protect; |
3645 | return p; | |
3646 | } | |
3647 | //_____________________________________________________________________________ | |
f3ba6c8e | 3648 | TH2D* AliJetFlowTools::ProtectHeap(TH2D* protect, Bool_t kill, TString suffix) const { |
4292ca60 | 3649 | // protect heap by adding unique qualifier to name |
3650 | if(!protect) return 0x0; | |
3651 | TH2D* p = (TH2D*)protect->Clone(); | |
ef12d5a5 | 3652 | TString tempString(fActiveString); |
3653 | tempString+=suffix; | |
3654 | p->SetName(Form("%s_%s", protect->GetName(), tempString.Data())); | |
3655 | p->SetTitle(Form("%s_%s", protect->GetTitle(), tempString.Data())); | |
4292ca60 | 3656 | if(kill) delete protect; |
3657 | return p; | |
3658 | } | |
3659 | //_____________________________________________________________________________ | |
f3ba6c8e | 3660 | TGraphErrors* AliJetFlowTools::ProtectHeap(TGraphErrors* protect, Bool_t kill, TString suffix) const { |
4292ca60 | 3661 | // protect heap by adding unique qualifier to name |
3662 | if(!protect) return 0x0; | |
3663 | TGraphErrors* p = (TGraphErrors*)protect->Clone(); | |
ef12d5a5 | 3664 | TString tempString(fActiveString); |
3665 | tempString+=suffix; | |
3666 | p->SetName(Form("%s_%s", protect->GetName(), tempString.Data())); | |
3667 | p->SetTitle(Form("%s_%s", protect->GetTitle(), tempString.Data())); | |
4292ca60 | 3668 | if(kill) delete protect; |
3669 | return p; | |
3670 | } | |
3671 | //_____________________________________________________________________________ | |
486fb24e | 3672 | void AliJetFlowTools::MakeAU() { |
3673 | // === azimuthal unfolding === | |
3674 | // | |
3675 | // unfolds the spectrum in delta phi bins, extracts the yield per bin, and does a fit | |
3676 | // in transverse momentum and azimuthal correlation space to extract v2 params | |
3677 | // settings are equal to the ones used for 'Make()' | |
3678 | // | |
3679 | // basic steps that are followed: | |
3680 | // 1) rebin the raw output of the jet task to the desired binnings | |
3681 | // 2) calls the unfolding routine | |
3682 | // 3) writes output to file | |
3683 | // can be repeated multiple times with different configurations | |
3684 | ||
3685 | Int_t low[] = {1, 6, 11, 16, 21, 26, 31, 36}; | |
3686 | Int_t up[] = {5, 10, 15, 20, 25, 30, 35, 40}; | |
3687 | TString stringArray[] = {"a", "b", "c", "d", "e", "f", "g", "h"}; | |
35c03ef1 | 3688 | TH1D* dPtdPhi[8]; |
3689 | for(Int_t i(0); i < 8; i++) dPtdPhi[i] = new TH1D(Form("dPtdPhi_%i", i), Form("dPtdPhi_%i", i), 8, 0, TMath::Pi()); | |
486fb24e | 3690 | |
3691 | for(Int_t i(0); i < 8; i++) { | |
3692 | // 1) manipulation of input histograms | |
3693 | // check if the input variables are present | |
3694 | if(!PrepareForUnfolding(low[i], up[i])) return; | |
3695 | // 1a) resize the jet spectrum according to the binning scheme in fBinsTrue | |
3696 | // parts of the spectrum can end up in over or underflow bins | |
3697 | TH1D* measuredJetSpectrumIn = RebinTH1D(fSpectrumIn, fBinsRec, Form("resized_%s", stringArray[i].Data()), kFALSE); | |
3698 | ||
3699 | // 1b) resize the jet spectrum to 'true' bins. can serve as a prior and as a template for unfolding | |
3700 | // the template will be used as a prior for the chi2 unfolding | |
3701 | TH1D* measuredJetSpectrumTrueBinsIn = RebinTH1D(fSpectrumIn, fBinsTrue, stringArray[i], kFALSE); | |
3702 | ||
3703 | // get the full response matrix from the dpt and the detector response | |
3704 | fDetectorResponse = NormalizeTH2D(fDetectorResponse); | |
3705 | // get the full response matrix. if test mode is chosen, the full response is replace by a unity matrix | |
3706 | // so that unfolding should return the initial spectrum | |
3707 | if(fUseDptResponse && fUseDetectorResponse) fFullResponseIn = MatrixMultiplication(fDptIn, fDetectorResponse); | |
3708 | else if (fUseDptResponse && !fUseDetectorResponse) fFullResponseIn = fDptIn; | |
3709 | else if (!fUseDptResponse && fUseDetectorResponse) fFullResponseIn = fDetectorResponse; | |
3710 | else if (!fUseDptResponse && !fUseDetectorResponse && !fUnfoldingAlgorithm == AliJetFlowTools::kNone) return; | |
3711 | // normalize each slide of the response to one | |
3712 | NormalizeTH2D(fFullResponseIn); | |
3713 | // resize to desired binning scheme | |
3714 | TH2D* resizedResponseIn = RebinTH2D(fFullResponseIn, fBinsTrue, fBinsRec, stringArray[i]); | |
3715 | // get the kinematic efficiency | |
3716 | TH1D* kinematicEfficiencyIn = resizedResponseIn->ProjectionX(); | |
3717 | kinematicEfficiencyIn->SetNameTitle(Form("kin_eff_%s", stringArray[i].Data()), Form("kin_eff_%s", stringArray[i].Data())); | |
3718 | // suppress the errors | |
3719 | for(Int_t j(0); j < kinematicEfficiencyIn->GetXaxis()->GetNbins(); j++) kinematicEfficiencyIn->SetBinError(1+j, 0.); | |
3720 | TH1D* jetFindingEfficiency(0x0); | |
3721 | if(fJetFindingEff) { | |
3722 | jetFindingEfficiency = ProtectHeap(fJetFindingEff); | |
3723 | jetFindingEfficiency->SetNameTitle(Form("%s_coarse", jetFindingEfficiency->GetName()), Form("%s_coarse", jetFindingEfficiency->GetName())); | |
3724 | jetFindingEfficiency = RebinTH1D(jetFindingEfficiency, fBinsTrue); | |
3725 | } | |
3726 | // 2, 3) call the actual unfolding. results and transient objects are stored in a dedicated TDirectoryFile | |
3727 | TH1D* unfoldedJetSpectrumIn(0x0); | |
3728 | fActiveDir->cd(); // select active dir | |
3729 | TDirectoryFile* dirIn = new TDirectoryFile(Form("%s___%s", stringArray[i].Data(), fActiveString.Data()), Form("%s___%s", stringArray[i].Data(), fActiveString.Data())); | |
3730 | dirIn->cd(); // select inplane subdir | |
3731 | // select the unfolding method | |
3732 | unfoldedJetSpectrumIn = UnfoldWrapper( | |
3733 | measuredJetSpectrumIn, | |
3734 | resizedResponseIn, | |
3735 | kinematicEfficiencyIn, | |
3736 | measuredJetSpectrumTrueBinsIn, | |
3737 | TString("dPtdPhiUnfolding"), | |
3738 | jetFindingEfficiency); | |
3739 | if(i==5) { | |
3740 | resizedResponseIn->SetNameTitle(Form("ResponseMatrix_%s", stringArray[i].Data()), Form("response matrix %s", stringArray[i].Data())); | |
f3ba6c8e | 3741 | resizedResponseIn->SetXTitle("p_{T, jet}^{true} [GeV/c]"); |
3742 | resizedResponseIn->SetYTitle("p_{T, jet}^{rec} [GeV/c]"); | |
486fb24e | 3743 | resizedResponseIn = ProtectHeap(resizedResponseIn); |
3744 | resizedResponseIn->Write(); | |
3745 | kinematicEfficiencyIn->SetNameTitle(Form("KinematicEfficiency_%s", stringArray[i].Data()), Form("Kinematic efficiency, %s", stringArray[i].Data())); | |
3746 | kinematicEfficiencyIn = ProtectHeap(kinematicEfficiencyIn); | |
3747 | kinematicEfficiencyIn->Write(); | |
3748 | fDetectorResponse->SetNameTitle("DetectorResponse", "Detector response matrix"); | |
3749 | fDetectorResponse = ProtectHeap(fDetectorResponse, kFALSE); | |
3750 | fDetectorResponse->Write(); | |
3751 | // optional histograms | |
3752 | if(fSaveFull) { | |
3753 | fSpectrumIn->SetNameTitle("[ORIG]JetSpectrum", Form("[INPUT] Jet spectrum, %s", stringArray[i].Data())); | |
3754 | fSpectrumIn->Write(); | |
3755 | fDptInDist->SetNameTitle("[ORIG]DeltaPt", Form("#delta p_{T} distribution, %s", stringArray[i].Data())); | |
3756 | fDptInDist->Write(); | |
3757 | fDptIn->SetNameTitle("[ORIG]DeltaPtMatrix", Form("#delta p_{T} matrix, %s", stringArray[i].Data())); | |
3758 | fDptIn->Write(); | |
3759 | fFullResponseIn->SetNameTitle("ResponseMatrix", Form("Response matrix, %s", stringArray[i].Data())); | |
3760 | fFullResponseIn->Write(); | |
3761 | } | |
3762 | } | |
3763 | fActiveDir->cd(); | |
3764 | fDeltaPtDeltaPhi->Write(); | |
3765 | fJetPtDeltaPhi->Write(); | |
3766 | ||
3767 | TH1D* dud(ProtectHeap(unfoldedJetSpectrumIn, kTRUE, stringArray[i]));; | |
3768 | Double_t integralError(0); | |
3769 | for(Int_t j(0); j < 6; j++) { | |
3770 | // get the integrated | |
a39e4b2b | 3771 | Double_t integral(dud->IntegralAndError(2*j+1, 2*j+3, integralError)); |
3772 | dPtdPhi[j]->SetBinContent(i+1, integral); | |
3773 | dPtdPhi[j]->SetBinError(i+1, integralError); | |
486fb24e | 3774 | } |
3775 | dud->Write(); | |
3776 | // save the current state of the unfolding object | |
3777 | SaveConfiguration(unfoldedJetSpectrumIn ? kTRUE : kFALSE, kFALSE); | |
3778 | } | |
3779 | TF1* fourier = new TF1("fourier", "[0]*(1.+0.5*[1]*(TMath::Cos(2.*x)))", 0, TMath::Pi()); | |
3780 | TH1D* v2(new TH1D("v2FromFit", "v2FromFit", fBinsTrue->GetSize()-1, fBinsTrue->GetArray())); | |
3781 | for(Int_t i(0); i < 6; i++) { | |
3782 | dPtdPhi[i]->Fit(fourier, "VI"); | |
3783 | v2->SetBinContent(1+i, fourier->GetParameter(1)); | |
3784 | v2->SetBinError(1+i, fourier->GetParError(1)); | |
3785 | dPtdPhi[i]->Write(); | |
3786 | } | |
3787 | v2->Write(); | |
3788 | } | |
3789 | //_____________________________________________________________________________ |