AddTaskEMCALClusterize.C File Reference

Configuration of EMCal re-clusterization analysis task. More...

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Functions
AliAnalysisTaskEMCALClusterize *	AddTaskEMCALClusterize (TString &arrayName, const Bool_t bFillAOD=kFALSE, const Int_t bMC=kFALSE, const Bool_t exotic=kTRUE, const TString name="V1Unfold", const TString trigger="", const Bool_t tm=kTRUE, const Int_t minEcell=50, const Int_t minEseed=100, const Int_t maxDeltaT=250, const Int_t timeWindow=1000, const Int_t minEUnf=15, const Int_t minFrac=1, const Bool_t bRecalE=kTRUE, const Bool_t bBad=kTRUE, const Bool_t bRecalT=kTRUE, const Bool_t bNonLine=kFALSE, const Int_t minCen=-1, const Int_t maxCen=-1, const Float_t clusterEnergyCutEvent=-1, const Int_t nRowDiff=1, const Int_t nColDiff=1, const Bool_t skipOrReject=kFALSE)

Detailed Description

Configuration of EMCal re-clusterization analysis task.

This task reclusterizes on the fly EMCal clusters, creates a new branch with those clusters so that it can be used by another analysis task accessing this cluster branch.

The parameters for the analysis are:

Parameters

arrayName	TString name of new cluster branch.
bFillAOD	Bool, keep the new clusters in output file.
bMC	Bool, simulation or data.
exotic	Bool, remove exotic clusters.
name	TString, name of clusterizer: V1, V2, V1Unfold, NxN.
trigger	TString, name of triggered events to be analyzed.
tm	Bool, perform track matching recalculation.
minEcell	float, minimum cell energy entering the cluster.
minEseed	float, minimum cell energy seed of the cluster
maxDeltaT	float, maximum difference in time of cells in cluster, keep it rather open.
timeWindow	float, maximum/minimum time of the clusters/cells, after time recalibration.
minEUnf	minimum energy cut for unfolding (check what it does)
minFrac	minimum fraction of energy cut for unfolding (check what it does)
bRecalE	Bool, recalibrate EMCal energy
bBad	Bool, remove bad channels
bRecalT	Bool, recalibrate EMCal time
bNonLine	Bool, correct cluster non linearity
minCen	Integer, minimum centrality, -1 no selection
maxCen	Integer, maximum centrality, -1 no selection
clusterEnergyCutEvent	Float, in case of event filtering, select events with at least one EMCal cluster with this energy
nRowDiff	Integer, number of rows for NxM clusterizer
nColDiff	Integer, number of collumns for NxM clusterizer
skipOrReject	Bool, for unfolding (check)

Author

: Gustavo Conesa Balbastre Gusta.nosp@m.vo.C.nosp@m.onesa.nosp@m..Bal.nosp@m.bastr.nosp@m.e@ce.nosp@m.rn.ch, (LPSC-CNRS)

Definition in file AddTaskEMCALClusterize.C.

Function Documentation

AliAnalysisTaskEMCALClusterize* AddTaskEMCALClusterize	(	TString &	arrayName,
		const Bool_t	bFillAOD = kFALSE,
		const Int_t	bMC = kFALSE,
		const Bool_t	exotic = kTRUE,
		const TString	name = "V1Unfold",
		const TString	trigger = "",
		const Bool_t	tm = kTRUE,
		const Int_t	minEcell = 50,
		const Int_t	minEseed = 100,
		const Int_t	maxDeltaT = 250,
		const Int_t	timeWindow = 1000,
		const Int_t	minEUnf = 15,
		const Int_t	minFrac = 1,
		const Bool_t	bRecalE = kTRUE,
		const Bool_t	bBad = kTRUE,
		const Bool_t	bRecalT = kTRUE,
		const Bool_t	bNonLine = kFALSE,
		const Int_t	minCen = -1,
		const Int_t	maxCen = -1,
		const Float_t	clusterEnergyCutEvent = -1,
		const Int_t	nRowDiff = 1,
		const Int_t	nColDiff = 1,
		const Bool_t	skipOrReject = kFALSE
	)

Definition at line 36 of file AddTaskEMCALClusterize.C.

Referenced by ana(), and emcalReclusterize().