/**********************************
* flow analysis with Q-cumulants *
* *
- * author: Ante Bilandzic *
- * (anteb@nikhef.nl) *
+ * author: Ante Bilandzic *
+ * (abilandzic@gmail.com) *
*********************************/
#ifndef ALIFLOWANALYSISWITHQCUMULANTS_H
TProfile* GetIntFlowFlags() const {return this->fIntFlowFlags;};
void SetApplyCorrectionForNUA(Bool_t const applyCorrectionForNUA) {this->fApplyCorrectionForNUA = applyCorrectionForNUA;};
Bool_t GetApplyCorrectionForNUA() const {return this->fApplyCorrectionForNUA;};
+ void SetnBinsMult(Int_t const nbm) {this->fnBinsMult = nbm;};
+ Int_t GetnBinsMult() const {return this->fnBinsMult;};
+ void SetMinMult(Double_t const minm) {this->fMinMult = minm;};
+ Double_t GetMinMult() const {return this->fMinMult;};
+ void SetMaxMult(Double_t const maxm) {this->fMaxMult = maxm;};
+ Double_t GetMaxMult() const {return this->fMaxMult;};
// integrated flow profiles:
void SetAvMultiplicity(TProfile* const avMultiplicity) {this->fAvMultiplicity = avMultiplicity;};
TProfile* GetAvMultiplicity() const {return this->fAvMultiplicity;};
void SetIntFlowCorrelationsPro(TProfile* const intFlowCorrelationsPro) {this->fIntFlowCorrelationsPro = intFlowCorrelationsPro;};
TProfile* GetIntFlowCorrelationsPro() const {return this->fIntFlowCorrelationsPro;};
+ void SetIntFlowCorrelationsVsMPro(TProfile* const ifcvp, Int_t const ci) {this->fIntFlowCorrelationsVsMPro[ci] = ifcvp;};
+ TProfile* GetIntFlowCorrelationsVsMPro(Int_t const ci) const {return this->fIntFlowCorrelationsVsMPro[ci];};
void SetIntFlowCorrelationsAllPro(TProfile* const intFlowCorrelationsAllPro) {this->fIntFlowCorrelationsAllPro = intFlowCorrelationsAllPro;};
TProfile* GetIntFlowCorrelationsAllPro() const {return this->fIntFlowCorrelationsAllPro;};
void SetIntFlowExtraCorrelationsPro(TProfile* const intFlowExtraCorrelationsPro) {this->fIntFlowExtraCorrelationsPro = intFlowExtraCorrelationsPro;};
TProfile* GetIntFlowExtraCorrelationsPro() const {return this->fIntFlowExtraCorrelationsPro;};
void SetIntFlowProductOfCorrelationsPro(TProfile* const intFlowProductOfCorrelationsPro) {this->fIntFlowProductOfCorrelationsPro = intFlowProductOfCorrelationsPro;};
- TProfile* GetIntFlowProductOfCorrelationsPro() const {return this->fIntFlowProductOfCorrelationsPro;};
+ TProfile* GetIntFlowProductOfCorrelationsPro() const {return this->fIntFlowProductOfCorrelationsPro;};
+ void SetIntFlowProductOfCorrelationsVsMPro(TProfile* const ifpocvm, Int_t const pi) {this->fIntFlowProductOfCorrelationsVsMPro[pi] = ifpocvm;};
+ TProfile* GetIntFlowProductOfCorrelationsVsMPro(Int_t const pi) const {return this->fIntFlowProductOfCorrelationsVsMPro[pi];};
void SetIntFlowProductOfCorrectionTermsForNUAPro(TProfile* const ifpoctfNUA) {this->fIntFlowProductOfCorrectionTermsForNUAPro = ifpoctfNUA;};
TProfile* GetIntFlowProductOfCorrectionTermsForNUAPro() const {return this->fIntFlowProductOfCorrectionTermsForNUAPro;};
void SetIntFlowCorrectionTermsForNUAPro(TProfile* const ifctfnp, Int_t const sc) {this->fIntFlowCorrectionTermsForNUAPro[sc] = ifctfnp;};
// integrated flow histograms holding all results:
void SetIntFlowCorrelationsHist(TH1D* const intFlowCorrelationsHist) {this->fIntFlowCorrelationsHist = intFlowCorrelationsHist;};
TH1D* GetIntFlowCorrelationsHist() const {return this->fIntFlowCorrelationsHist;};
+ void SetIntFlowCorrelationsVsMHist(TH1D* const ifcvmh, Int_t const ci) {this->fIntFlowCorrelationsVsMHist[ci] = ifcvmh;};
+ TH1D* GetIntFlowCorrelationsVsMHist(Int_t const ci) const {return this->fIntFlowCorrelationsVsMHist[ci];};
void SetIntFlowCorrelationsAllHist(TH1D* const intFlowCorrelationsAllHist) {this->fIntFlowCorrelationsAllHist = intFlowCorrelationsAllHist;};
TH1D* GetIntFlowCorrelationsAllHist() const {return this->fIntFlowCorrelationsAllHist;};
// to be improved (removed:)
TH1D* GetIntFlowSumOfEventWeights(Int_t power) const {return this->fIntFlowSumOfEventWeights[power];};
void SetIntFlowSumOfProductOfEventWeights(TH1D* const intFlowSumOfProductOfEventWeights) {this->fIntFlowSumOfProductOfEventWeights = intFlowSumOfProductOfEventWeights;};
TH1D* GetIntFlowSumOfProductOfEventWeights() const {return this->fIntFlowSumOfProductOfEventWeights;};
+ void SetIntFlowCovariancesVsM(TH1D* const ifcvm, Int_t ci) {this->fIntFlowCovariancesVsM[ci] = ifcvm;};
+ TH1D* GetIntFlowCovariancesVsM(Int_t ci) const {return this->fIntFlowCovariancesVsM[ci];};
+ void SetIntFlowSumOfEventWeightsVsM(TH1D* const ifsoewvm, Int_t si, Int_t lc) {this->fIntFlowSumOfEventWeightsVsM[si][lc] = ifsoewvm;};
+ TH1D* GetIntFlowSumOfEventWeightsVsM(Int_t si, Int_t lc) const {return this->fIntFlowSumOfEventWeightsVsM[si][lc];};
+ void SetIntFlowSumOfProductOfEventWeightsVsM(TH1D* const ifsopoevm, Int_t si) {this->fIntFlowSumOfProductOfEventWeightsVsM[si] = ifsopoevm;};
+ TH1D* GetIntFlowSumOfProductOfEventWeightsVsM(Int_t si) const {return this->fIntFlowSumOfProductOfEventWeightsVsM[si];};
void SetIntFlowCovariancesNUA(TH1D* const intFlowCovariancesNUA) {this->fIntFlowCovariancesNUA = intFlowCovariancesNUA;};
TH1D* GetIntFlowCovariancesNUA() const {return this->fIntFlowCovariancesNUA;};
void SetIntFlowSumOfEventWeightsNUA(TH1D* const ifsoewNUA, Int_t const sc, Int_t const power) {this->fIntFlowSumOfEventWeightsNUA[sc][power] = ifsoewNUA;};
TH1D* GetIntFlowSumOfProductOfEventWeightsNUA() const {return this->fIntFlowSumOfProductOfEventWeightsNUA;};
void SetIntFlowQcumulants(TH1D* const intFlowQcumulants) {this->fIntFlowQcumulants = intFlowQcumulants;};
TH1D* GetIntFlowQcumulants() const {return this->fIntFlowQcumulants;};
+ void SetIntFlowQcumulantsVsM(TH1D* const intFlowQcumulantsVsM, Int_t co) {this->fIntFlowQcumulantsVsM[co] = intFlowQcumulantsVsM;};
+ TH1D* GetIntFlowQcumulantsVsM(Int_t co) const {return this->fIntFlowQcumulantsVsM[co];};
void SetIntFlow(TH1D* const intFlow) {this->fIntFlow = intFlow;};
TH1D* GetIntFlow() const {return this->fIntFlow;};
-
+ void SetIntFlowVsM(TH1D* const intFlowVsM, Int_t co) {this->fIntFlowVsM[co] = intFlowVsM;};
+ TH1D* GetIntFlowVsM(Int_t co) const {return this->fIntFlowVsM[co];};
// 4.) differential flow:
// flags:
void SetDiffFlowFlags(TProfile* const diffFlowFlags) {this->fDiffFlowFlags = diffFlowFlags;};
TList *fIntFlowResults; // list to hold all histograms with final results relevant for integrated flow
// 3b.) flags:
TProfile *fIntFlowFlags; // profile to hold all flags for integrated flow
- Bool_t fApplyCorrectionForNUA; // apply correction for non-uniform acceptance
+ Bool_t fApplyCorrectionForNUA; // apply correction for non-uniform acceptance
+ Int_t fnBinsMult; // number of multiplicity bins for flow analysis versus multiplicity
+ Double_t fMinMult; // minimal multiplicity for flow analysis versus multiplicity
+ Double_t fMaxMult; // maximal multiplicity for flow analysis versus multiplicity
// 3c.) event-by-event quantities:
TMatrixD *fReQ; // fReQ[m][k] = sum_{i=1}^{M} w_{i}^{k} cos(m*phi_{i})
TMatrixD *fImQ; // fImQ[m][k] = sum_{i=1}^{M} w_{i}^{k} sin(m*phi_{i})
// 3d.) profiles:
TProfile *fAvMultiplicity; // profile to hold average multiplicities and number of events for events with nRP>=0, nRP>=1, ... , and nRP>=8
TProfile *fIntFlowCorrelationsPro; // average correlations <<2>>, <<4>>, <<6>> and <<8>> (with wrong errors!)
+ TProfile *fIntFlowCorrelationsVsMPro[4]; // average correlations <<2>>, <<4>>, <<6>> and <<8>> versus multiplicity (error is wrong here!)
TProfile *fIntFlowCorrelationsAllPro; // average all correlations for integrated flow (with wrong errors!)
TProfile *fIntFlowExtraCorrelationsPro; // when particle weights are used some extra correlations appear
TProfile *fIntFlowProductOfCorrelationsPro; // average product of correlations <2>, <4>, <6> and <8>
+ TProfile *fIntFlowProductOfCorrelationsVsMPro[6]; // average product of correlations <2>, <4>, <6> and <8>
+ // [0=<<2><4>>,1=<<2><6>>,2=<<2><8>>,3=<<4><6>>,4=<<4><8>>,5=<<6><8>>]
TProfile *fIntFlowProductOfCorrectionTermsForNUAPro; // average product of correction terms for NUA
TProfile *fIntFlowCorrectionTermsForNUAPro[2]; // average correction terms for non-uniform acceptance (with wrong errors!) [0=sin terms,1=cos terms]
// 3e.) histograms with final results:
TH1D *fIntFlowCorrelationsHist; // final results for average correlations <<2>>, <<4>>, <<6>> and <<8>> (with correct errors!)
+ TH1D *fIntFlowCorrelationsVsMHist[4]; // average correlations <<2>>, <<4>>, <<6>> and <<8>> versus multiplicity (error is correct here!)
TH1D *fIntFlowCorrelationsAllHist; // final results for all average correlations (with correct errors!)
TH1D *fIntFlowCorrectionTermsForNUAHist[2];// final results for correction terms for non-uniform acceptance (with correct errors!) [0=sin terms,1=cos terms]
TH1D *fIntFlowCovariances; // final result for covariances of correlations (multiplied with weight dependent prefactor)
TH1D *fIntFlowSumOfEventWeights[2]; // sum of linear and quadratic event weights for <2>, <4>, <6> and <8>: [0=linear 1,1=quadratic]
- TH1D *fIntFlowSumOfProductOfEventWeights; // sum of products of event weights for correlations <2>, <4>, <6> and <8>
+ TH1D *fIntFlowSumOfProductOfEventWeights; // sum of products of event weights for correlations <2>, <4>, <6> and <8>
+ TH1D *fIntFlowCovariancesVsM[6]; // final result for covariances of correlations (multiplied with weight dependent prefactor) versus M
+ // [0=Cov(2,4),1=Cov(2,6),2=Cov(2,8),3=Cov(4,6),4=Cov(4,8),5=Cov(6,8)]
+ TH1D *fIntFlowSumOfEventWeightsVsM[4][2]; // sum of linear and quadratic event weights for <2>, <4>, <6> and <8> versum multiplicity
+ // [0=sum{w_{<2>}},1=sum{w_{<4>}},2=sum{w_{<6>}},3=sum{w_{<8>}}][0=linear 1,1=quadratic]
+ TH1D *fIntFlowSumOfProductOfEventWeightsVsM[6]; // sum of products of event weights for correlations <2>, <4>, <6> and <8> vs M
+ // [0=sum{w_{<2>}w_{<4>}},1=sum{w_{<2>}w_{<6>}},2=sum{w_{<2>}w_{<8>}},
+ // 3=sum{w_{<4>}w_{<6>}},4=sum{w_{<4>}w_{<8>}},5=sum{w_{<6>}w_{<8>}}]
TH1D *fIntFlowCovariancesNUA; // final result for covariances of all terms needed for NUA (multiplied with weight dependent prefactor)
TH1D *fIntFlowSumOfEventWeightsNUA[2][2]; // sum of linear and quadratic event weights for NUA terms: [0=sin,1=cos][0=linear 1,1=quadratic]
TH1D *fIntFlowSumOfProductOfEventWeightsNUA; // sum of products of event weights for NUA terms
TH1D *fIntFlowQcumulants; // final results for integrated Q-cumulants QC{2}, QC{4}, QC{6} and QC{8}
+ TH1D *fIntFlowQcumulantsVsM[4]; // final results for integrated Q-cumulants QC{2}, QC{4}, QC{6} and QC{8} versus multiplicity
TH1D *fIntFlow; // final results for integrated flow estimates v_n{2,QC}, v_n{4,QC}, v_n{6,QC} and v_n{8,QC}
-
+ TH1D *fIntFlowVsM[4]; // final results for integrated flow estimates v_n{2,QC}, v_n{4,QC}, v_n{6,QC} and v_n{8,QC} versus multiplicity
// 4.) differential flow
// 4a.) lists:
TList *fDiffFlowList; // list to hold list with all histograms (fDiffFlowResults) and list with profiles (fDiffFlowProfiles) relevant for differential flow
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff