[u/mrichter/AliRoot.git] / PWG2 / FORWARD / analysis2 / AliFMDDensityCalculator.h

// This class calculates the inclusive charged particle density
// in each for the 5 FMD rings. 
//
#ifndef ALIFMDDENSITYCALCULATOR_H
#define ALIFMDDENSITYCALCULATOR_H
/**
 * @file   AliFMDDensityCalculator.h
 * @author Christian Holm Christensen <cholm@dalsgaard.hehi.nbi.dk>
 * @date   Wed Mar 23 14:02:09 2011
 * 
 * @brief  
 * 
 * 
 * @ingroup pwg2_forward_aod
 */
#include <TNamed.h>
#include <TList.h>
#include <TArrayI.h>
#include "AliForwardUtil.h"
class AliESDFMD;
class TH2D;
class TH1D;
class TProfile;
class AliFMDCorrELossFit;

/** 
 * This class calculates the inclusive charged particle density
 * in each for the 5 FMD rings. 
 *
 * @par Input:
 *   - AliESDFMD object possibly corrected for sharing
 *
 * @par Output:
 *   - 5 RingHistos objects - each with a number of vertex dependent 
 *     2D histograms of the inclusive charge particle density 
 * 
 * @par Corrections used: 
 *   - AliFMDAnaCalibEnergyDistribution 
 *   - AliFMDDoubleHitCorrection 
 *   - AliFMDDeadCorrection 
 *
 * @ingroup pwg2_forward_algo
 * @ingroup pwg2_forward_aod
 */
class AliFMDDensityCalculator : public TNamed
{
public:
  /** 
   * Constructor 
   */
  AliFMDDensityCalculator();
  /** 
   * Constructor 
   * 
   * @param name Name of object
   */
  AliFMDDensityCalculator(const char* name);
  /** 
   * Copy constructor 
   * 
   * @param o Object to copy from 
   */
  AliFMDDensityCalculator(const AliFMDDensityCalculator& o);
  /** 
   * Destructor 
   */
  virtual ~AliFMDDensityCalculator();
  /** 
   * Assignement operator
   * 
   * @param o Object to assign from 
   * 
   * @return Reference to this object
   */
  AliFMDDensityCalculator& operator=(const AliFMDDensityCalculator& o);
  /** 
   * Initialize this sub-algorithm
   * 
   * @param etaAxis Not used 
   */
  virtual void Init(const TAxis& etaAxis);
  /** 
   * Do the calculations 
   * 
   * @param fmd      AliESDFMD object (possibly) corrected for sharing
   * @param hists    Histogram cache
   * @param vtxBin   Vertex bin 
   * @param lowFlux  Low flux flag. 
   * 
   * @return true on successs 
   */
  virtual Bool_t Calculate(const AliESDFMD& fmd, 
			   AliForwardUtil::Histos& hists, 
			   UShort_t vtxBin, Bool_t lowFlux);
  /** 
   * Scale the histograms to the total number of events 
   * 
   * @param dir     where to put the output
   * @param nEvents Number of events 
   */
  virtual void ScaleHistograms(const TList* dir, Int_t nEvents);
  /** 
   * Output diagnostic histograms to directory 
   * 
   * @param dir List to write in
   */  
  virtual void DefineOutput(TList* dir);
  /** 
   * Set the debug level.  The higher the value the more output 
   * 
   * @param dbg Debug level 
   */
  void SetDebug(Int_t dbg=1) { fDebug = dbg; }
  /** 
   * Maximum particle weight to use 
   * 
   * @param m 
   */
  void SetMaxParticles(UShort_t m) { fMaxParticles = m; }  
  /** 
   * Set whether to use poisson statistics to estimate the 
   * number of particles that has hit within a region.  If this is true, 
   * then the average charge particle density is given by 
   * @f[
   *  \lambda = -\log\left(\frac{N_e}{N_t}\right)
   * @f]
   * where $N_e$ is the number of strips within the region that has no
   * hits over threshold, and $N_t$ is the total number of strips in the 
   * region/ 
   * 
   * @param u Whether to use poisson statistics to estimate the 
   * number of particles that has hit within a region.
   */
  void SetUsePoisson(Bool_t u) { fUsePoisson = u; }
  /** 
   * Set whether to use the phi acceptance correction. 
   * 
   * @param u If true, use the phi acceptance (default is false)
   */
  void SetUsePhiAcceptance(Bool_t u) { fUsePhiAcceptance = u; }
  /** 
   * Set the lower multiplicity cut.  This overrides the setting in
   * the energy loss fits.
   * 
   * @param cut Cut to use 
   */
  void SetMultCut(Double_t cut) { SetMultCuts(cut,cut,cut,cut,cut); }
  /** 
   * Set the lower multiplicity cuts 
   * 
   * @param fmd1i Lower mulitplicyt cut for FMD1i
   * @param fmd2i Lower mulitplicyt cut for FMD2i 
   * @param fmd2o Lower mulitplicyt cut for FMD2o 
   * @param fmd3i Lower mulitplicyt cut for FMD3i 
   * @param fmd3o Lower mulitplicyt cut for FMD3o 
   */
  void SetMultCuts(Double_t fmd1i, 
		   Double_t fmd2i, 
		   Double_t fmd2o, 
		   Double_t fmd3i, 
		   Double_t fmd3o); 
  /** 
   * Set the luming factors used in the Poisson method
   * 
   * @param eta Must be 1 or larger 
   * @param phi Must be 1 or larger 
   */
  void SetLumping(Int_t eta, Int_t phi) { 
    fEtaLumping = (eta < 1 ? 1 : eta); 
    fPhiLumping = (phi < 1 ? 1 : phi); 
  }
  /** 
   * Set the number of landau width to subtract from the most probably
   * value to get the low cut.
   * 
   * @param n Number of @f$ \xi@f$ 
   */
  void SetNXi(Double_t nXi) { fNXi = nXi; } 
  /** 
   * Whether to include sigma in the number subtracted from the MPV to
   * get the low cut
   * 
   * @param u If true, then low cut is @f$ \Delta_{mp} - n(\xi+\sigma)@f$ 
   */
  void SetIncludeSigma(Bool_t u) { fIncludeSigma = u; }
  /** 
   * Get the multiplicity cut.  If the user has set fMultCut (via
   * SetMultCut) then that value is used.  If not, then the lower
   * value of the fit range for the enery loss fits is returned.
   * 
   * @return Lower cut on multiplicity
   */
  Double_t GetMultCut(UShort_t d, Char_t r, Double_t eta, 
		      Bool_t errors=true) const;
  /** 
   * Get the multiplicity cut.  If the user has set fMultCut (via
   * SetMultCut) then that value is used.  If not, then the lower
   * value of the fit range for the enery loss fits is returned.
   * 
   * @return Lower cut on multiplicity
   */
  Double_t GetMultCut(UShort_t d, Char_t r, Int_t ieta, 
		      Bool_t errors=true) const;
  /** 
   * Print information 
   * 
   * @param option Print options 
   *   - max  Print max weights 
   */
  void Print(Option_t* option="") const;
protected:
  /** 
   * Find the max weight to use for FMD<i>dr</i> in eta bin @a iEta
   * 
   * @param cor   Correction
   * @param d     Detector 
   * @param r     Ring 
   * @param iEta  Eta bin 
   */
  Int_t FindMaxWeight(const AliFMDCorrELossFit* cor,
		      UShort_t d, Char_t r, Int_t iEta) const;

  /** 
   * Find the max weights and cache them 
   * 
   */  
  void CacheMaxWeights();
  /** 
   * Find the (cached) maximum weight for FMD<i>dr</i> in 
   * @f$\eta@f$ bin @a iEta
   * 
   * @param d     Detector
   * @param r     Ring
   * @param iEta  Eta bin
   * 
   * @return max weight or <= 0 in case of problems 
   */
  Int_t GetMaxWeight(UShort_t d, Char_t r, Int_t iEta) const;
  /** 
   * Find the (cached) maximum weight for FMD<i>dr</i> iat
   * @f$\eta@f$ 
   * 
   * @param d     Detector
   * @param r     Ring
   * @param eta   Eta bin
   * 
   * @return max weight or <= 0 in case of problems 
   */
  Int_t GetMaxWeight(UShort_t d, Char_t r, Float_t eta) const;

  /** 
   * Get the number of particles corresponding to the signal mult
   * 
   * @param mult     Signal
   * @param d        Detector
   * @param r        Ring 
   * @param s        Sector 
   * @param t        Strip (not used)
   * @param v        Vertex bin 
   * @param eta      Pseudo-rapidity 
   * @param lowFlux  Low-flux flag 
   * 
   * @return The number of particles 
   */
  virtual Float_t NParticles(Float_t mult, 
			     UShort_t d, Char_t r, UShort_t s, UShort_t t, 
			     UShort_t v, Float_t eta, Bool_t lowFlux) const;
  /** 
   * Get the inverse correction factor.  This consist of
   * 
   * - acceptance correction (corners of sensors) 
   * - double hit correction (for low-flux events) 
   * - dead strip correction 
   * 
   * @param d        Detector
   * @param r        Ring 
   * @param s        Sector 
   * @param t        Strip (not used)
   * @param v        Vertex bin 
   * @param eta      Pseudo-rapidity 
   * @param lowFlux  Low-flux flag 
   * 
   * @return 
   */
  virtual Float_t Correction(UShort_t d, Char_t r, UShort_t s, UShort_t t, 
			     UShort_t v, Float_t eta, Bool_t lowFlux) const;
  /** 
   * Get the acceptance correction for strip @a t in an ring of type @a r
   * 
   * @param r  Ring type ('I' or 'O')
   * @param t  Strip number 
   * 
   * @return Inverse acceptance correction 
   */
  virtual Float_t AcceptanceCorrection(Char_t r, UShort_t t) const;
  /** 
   * Generate the acceptance corrections 
   * 
   * @param r Ring to generate for 
   * 
   * @return Newly allocated histogram of acceptance corrections
   */
  virtual TH1D*   GenerateAcceptanceCorrection(Char_t r) const;
  /** 
   * Internal data structure to keep track of the histograms
   */
  struct RingHistos : public AliForwardUtil::RingHistos
  { 
    /** 
     * Default CTOR
     */
    RingHistos();
    /** 
     * Constructor
     * 
     * @param d detector
     * @param r ring 
     */
    RingHistos(UShort_t d, Char_t r);
    /** 
     * Copy constructor 
     * 
     * @param o Object to copy from 
     */
    RingHistos(const RingHistos& o);
    /** 
     * Assignment operator 
     * 
     * @param o Object to assign from 
     * 
     * @return Reference to this 
     */
    RingHistos& operator=(const RingHistos& o);
    /** 
     * Destructor 
     */
    ~RingHistos();
    /** 
     * Initialize the object 
     * 
     * @param eAxis 
     */
    void Init(const TAxis& eAxis);
    /** 
     * Make output 
     * 
     * @param dir Where to put it 
     */
    void Output(TList* dir);
    /** 
     * Scale the histograms to the total number of events 
     * 
     * @param dir     Where the output is 
     * @param nEvents Number of events 
     */
    void ScaleHistograms(TList* dir, Int_t nEvents);
    /** 
     * Create Poisson histograms 
     */
    void ResetPoissonHistos(const TH2D* h, Int_t etaLumping, Int_t phiLumping);
    TH2D*     fEvsN;           // Correlation of Eloss vs uncorrected Nch
    TH2D*     fEvsM;           // Correlation of Eloss vs corrected Nch
    TProfile* fEtaVsN;         // Average uncorrected Nch vs eta
    TProfile* fEtaVsM;         // Average corrected Nch vs eta
    TProfile* fCorr;           // Average correction vs eta
    TH2D*     fDensity;        // Distribution inclusive Nch
    TH2D*     fELossVsPoisson; // Correlation of energy loss vs Poisson N_ch
    TH2D*     fTotalStrips;    // Total number of strips in a region
    TH2D*     fEmptyStrips;    // Total number of strips in a region
    TH2D*     fBasicHits  ;    // Total number basic hits in a region
    TH2D*     fEmptyVsTotal;   // # of empty strips vs total number of strips 
    
    
    ClassDef(RingHistos,4);
  };
  /** 
   * Get the ring histogram container 
   * 
   * @param d Detector
   * @param r Ring 
   * 
   * @return Ring histogram container 
   */
  RingHistos* GetRingHistos(UShort_t d, Char_t r) const;

  TList    fRingHistos;    //  List of histogram containers
  Double_t fMultCut;       //  Low cut on scaled energy loss
  Double_t fNXi;           //  Delta-n(xi+sigma) factor 
  Bool_t   fIncludeSigma;  //  Whether or not to include sigma in cut
  TH1D*    fSumOfWeights;  //  Histogram
  TH1D*    fWeightedSum;   //  Histogram
  TH1D*    fCorrections;   //  Histogram
  UShort_t fMaxParticles;  //  Maximum particle weight to use 
  Bool_t   fUsePoisson;    //  If true, then use poisson statistics 
  Bool_t   fUsePhiAcceptance; // Whether to correct for corners 
  TH1D*    fAccI;          //  Acceptance correction for inner rings
  TH1D*    fAccO;          //  Acceptance correction for outer rings
  TArrayI  fFMD1iMax;      //  Array of max weights 
  TArrayI  fFMD2iMax;      //  Array of max weights 
  TArrayI  fFMD2oMax;      //  Array of max weights 
  TArrayI  fFMD3iMax;      //  Array of max weights 
  TArrayI  fFMD3oMax;      //  Array of max weights 
  TH2D*    fMaxWeights;    //  Histogram of max weights
  TH2D*    fLowCuts;       //  Histogram of low cuts
  Int_t    fEtaLumping;    //  How to lump eta bins for Poisson 
  Int_t    fPhiLumping;    //  How to lump phi bins for Poisson 
  Int_t    fDebug;         //  Debug level 
  Double_t fMultCuts[5];   //  Per-ring multiplicity cuts

  ClassDef(AliFMDDensityCalculator,3); // Calculate Nch density 
};

#endif
// Local Variables:
//   mode: C++
// End:
Commit	Line	Data
7984e5f7	1	// This class calculates the inclusive charged particle density
	2	// in each for the 5 FMD rings.
	3	//
	4	#ifndef ALIFMDDENSITYCALCULATOR_H
	5	#define ALIFMDDENSITYCALCULATOR_H
ffca499d	6	/**
	7	* @file AliFMDDensityCalculator.h
	8	* @author Christian Holm Christensen <cholm@dalsgaard.hehi.nbi.dk>
	9	* @date Wed Mar 23 14:02:09 2011
	10	*
	11	* @brief
	12	*
	13	*
	14	* @ingroup pwg2_forward_aod
	15	*/
7e4038b5	16	#include <TNamed.h>
7e4038b5	17	#include <TList.h>
1174780f	18	#include <TArrayI.h>
7e4038b5	19	#include "AliForwardUtil.h"
	20	class AliESDFMD;
	21	class TH2D;
dd497217	22	class TH1D;
0bd4b00f	23	class TProfile;
1174780f	24	class AliFMDCorrELossFit;
7e4038b5	25
	26	/**
	27	* This class calculates the inclusive charged particle density
	28	* in each for the 5 FMD rings.
	29	*
	30	* @par Input:
	31	* - AliESDFMD object possibly corrected for sharing
	32	*
	33	* @par Output:
	34	* - 5 RingHistos objects - each with a number of vertex dependent
	35	* 2D histograms of the inclusive charge particle density
	36	*
	37	* @par Corrections used:
	38	* - AliFMDAnaCalibEnergyDistribution
	39	* - AliFMDDoubleHitCorrection
	40	* - AliFMDDeadCorrection
	41	*
8eb443e1	42	* @ingroup pwg2_forward_algo
ffca499d	43	* @ingroup pwg2_forward_aod
7e4038b5	44	*/
	45	class AliFMDDensityCalculator : public TNamed
	46	{
	47	public:
	48	/**
	49	* Constructor
	50	*/
	51	AliFMDDensityCalculator();
	52	/**
	53	* Constructor
	54	*
	55	* @param name Name of object
	56	*/
	57	AliFMDDensityCalculator(const char* name);
	58	/**
	59	* Copy constructor
	60	*
	61	* @param o Object to copy from
	62	*/
	63	AliFMDDensityCalculator(const AliFMDDensityCalculator& o);
	64	/**
	65	* Destructor
	66	*/
	67	virtual ~AliFMDDensityCalculator();
	68	/**
	69	* Assignement operator
	70	*
	71	* @param o Object to assign from
	72	*
	73	* @return Reference to this object
	74	*/
7c1a1f1d	75	AliFMDDensityCalculator& operator=(const AliFMDDensityCalculator& o);
1174780f	76	/**
	77	* Initialize this sub-algorithm
	78	*
	79	* @param etaAxis Not used
	80	*/
	81	virtual void Init(const TAxis& etaAxis);
7e4038b5	82	/**
	83	* Do the calculations
	84	*
	85	* @param fmd AliESDFMD object (possibly) corrected for sharing
	86	* @param hists Histogram cache
	87	* @param vtxBin Vertex bin
	88	* @param lowFlux Low flux flag.
	89	*
	90	* @return true on successs
	91	*/
	92	virtual Bool_t Calculate(const AliESDFMD& fmd,
	93	AliForwardUtil::Histos& hists,
0bd4b00f	94	UShort_t vtxBin, Bool_t lowFlux);
7e4038b5	95	/**
	96	* Scale the histograms to the total number of events
	97	*
c389303e	98	* @param dir where to put the output
7e4038b5	99	* @param nEvents Number of events
7e4038b5	100	*/
fb3430ac	101	virtual void ScaleHistograms(const TList* dir, Int_t nEvents);
7e4038b5	102	/**
	103	* Output diagnostic histograms to directory
	104	*
	105	* @param dir List to write in
	106	*/
8eb443e1	107	virtual void DefineOutput(TList* dir);
ea3e5d95	108	/**
	109	* Set the debug level. The higher the value the more output
	110	*
	111	* @param dbg Debug level
	112	*/
	113	void SetDebug(Int_t dbg=1) { fDebug = dbg; }
0bd4b00f	114	/**
	115	* Maximum particle weight to use
	116	*
	117	* @param m
	118	*/
	119	void SetMaxParticles(UShort_t m) { fMaxParticles = m; }
9d05ffeb	120	/**
	121	* Set whether to use poisson statistics to estimate the
	122	* number of particles that has hit within a region. If this is true,
	123	* then the average charge particle density is given by
	124	* @f[
ffca499d	125	* \lambda = -\log\left(\frac{N_e}{N_t}\right)
9d05ffeb	126	* @f]
	127	* where $N_e$ is the number of strips within the region that has no
	128	* hits over threshold, and $N_t$ is the total number of strips in the
	129	* region/
	130	*
	131	* @param u Whether to use poisson statistics to estimate the
	132	* number of particles that has hit within a region.
	133	*/
	134	void SetUsePoisson(Bool_t u) { fUsePoisson = u; }
5bb5d1f6	135	/**
	136	* Set whether to use the phi acceptance correction.
	137	*
	138	* @param u If true, use the phi acceptance (default is false)
	139	*/
	140	void SetUsePhiAcceptance(Bool_t u) { fUsePhiAcceptance = u; }
0bd4b00f	141	/**
	142	* Set the lower multiplicity cut. This overrides the setting in
	143	* the energy loss fits.
	144	*
	145	* @param cut Cut to use
	146	*/
5bb5d1f6	147	void SetMultCut(Double_t cut) { SetMultCuts(cut,cut,cut,cut,cut); }
	148	/**
	149	* Set the lower multiplicity cuts
	150	*
	151	* @param fmd1i Lower mulitplicyt cut for FMD1i
	152	* @param fmd2i Lower mulitplicyt cut for FMD2i
	153	* @param fmd2o Lower mulitplicyt cut for FMD2o
	154	* @param fmd3i Lower mulitplicyt cut for FMD3i
	155	* @param fmd3o Lower mulitplicyt cut for FMD3o
	156	*/
	157	void SetMultCuts(Double_t fmd1i,
	158	Double_t fmd2i,
	159	Double_t fmd2o,
	160	Double_t fmd3i,
	161	Double_t fmd3o);
b6b35c77	162	/**
	163	* Set the luming factors used in the Poisson method
	164	*
	165	* @param eta Must be 1 or larger
	166	* @param phi Must be 1 or larger
	167	*/
	168	void SetLumping(Int_t eta, Int_t phi) {
	169	fEtaLumping = (eta < 1 ? 1 : eta);
	170	fPhiLumping = (phi < 1 ? 1 : phi);
	171	}
5bb5d1f6	172	/**
	173	* Set the number of landau width to subtract from the most probably
	174	* value to get the low cut.
	175	*
	176	* @param n Number of @f$ \xi@f$
	177	*/
	178	void SetNXi(Double_t nXi) { fNXi = nXi; }
	179	/**
	180	* Whether to include sigma in the number subtracted from the MPV to
	181	* get the low cut
	182	*
	183	* @param u If true, then low cut is @f$ \Delta_{mp} - n(\xi+\sigma)@f$
	184	*/
	185	void SetIncludeSigma(Bool_t u) { fIncludeSigma = u; }
	186	/**
	187	* Get the multiplicity cut. If the user has set fMultCut (via
	188	* SetMultCut) then that value is used. If not, then the lower
	189	* value of the fit range for the enery loss fits is returned.
	190	*
	191	* @return Lower cut on multiplicity
	192	*/
	193	Double_t GetMultCut(UShort_t d, Char_t r, Double_t eta,
	194	Bool_t errors=true) const;
0bd4b00f	195	/**
	196	* Get the multiplicity cut. If the user has set fMultCut (via
	197	* SetMultCut) then that value is used. If not, then the lower
	198	* value of the fit range for the enery loss fits is returned.
	199	*
	200	* @return Lower cut on multiplicity
	201	*/
5bb5d1f6	202	Double_t GetMultCut(UShort_t d, Char_t r, Int_t ieta,
5bb5d1f6	203	Bool_t errors=true) const;
0bd4b00f	204	/**
	205	* Print information
	206	*
1174780f	207	* @param option Print options
1174780f	208	* - max Print max weights
0bd4b00f	209	*/
0bd4b00f	210	void Print(Option_t* option="") const;
7e4038b5	211	protected:
1174780f	212	/**
	213	* Find the max weight to use for FMD<i>dr</i> in eta bin @a iEta
	214	*
	215	* @param cor Correction
	216	* @param d Detector
	217	* @param r Ring
	218	* @param iEta Eta bin
	219	*/
fb3430ac	220	Int_t FindMaxWeight(const AliFMDCorrELossFit* cor,
1174780f	221	UShort_t d, Char_t r, Int_t iEta) const;
	222
	223	/**
	224	* Find the max weights and cache them
	225	*
	226	*/
	227	void CacheMaxWeights();
	228	/**
	229	* Find the (cached) maximum weight for FMD<i>dr</i> in
	230	* @f$\eta@f$ bin @a iEta
	231	*
	232	* @param d Detector
	233	* @param r Ring
	234	* @param iEta Eta bin
	235	*
	236	* @return max weight or <= 0 in case of problems
	237	*/
	238	Int_t GetMaxWeight(UShort_t d, Char_t r, Int_t iEta) const;
	239	/**
	240	* Find the (cached) maximum weight for FMD<i>dr</i> iat
	241	* @f$\eta@f$
	242	*
	243	* @param d Detector
	244	* @param r Ring
	245	* @param eta Eta bin
	246	*
	247	* @return max weight or <= 0 in case of problems
	248	*/
	249	Int_t GetMaxWeight(UShort_t d, Char_t r, Float_t eta) const;
	250
7e4038b5	251	/**
	252	* Get the number of particles corresponding to the signal mult
	253	*
	254	* @param mult Signal
	255	* @param d Detector
	256	* @param r Ring
	257	* @param s Sector
	258	* @param t Strip (not used)
	259	* @param v Vertex bin
	260	* @param eta Pseudo-rapidity
	261	* @param lowFlux Low-flux flag
	262	*
	263	* @return The number of particles
	264	*/
	265	virtual Float_t NParticles(Float_t mult,
	266	UShort_t d, Char_t r, UShort_t s, UShort_t t,
0bd4b00f	267	UShort_t v, Float_t eta, Bool_t lowFlux) const;
7e4038b5	268	/**
	269	* Get the inverse correction factor. This consist of
	270	*
	271	* - acceptance correction (corners of sensors)
	272	* - double hit correction (for low-flux events)
	273	* - dead strip correction
	274	*
	275	* @param d Detector
	276	* @param r Ring
	277	* @param s Sector
	278	* @param t Strip (not used)
	279	* @param v Vertex bin
	280	* @param eta Pseudo-rapidity
	281	* @param lowFlux Low-flux flag
	282	*
	283	* @return
	284	*/
	285	virtual Float_t Correction(UShort_t d, Char_t r, UShort_t s, UShort_t t,
0bd4b00f	286	UShort_t v, Float_t eta, Bool_t lowFlux) const;
7e4038b5	287	/**
	288	* Get the acceptance correction for strip @a t in an ring of type @a r
	289	*
	290	* @param r Ring type ('I' or 'O')
	291	* @param t Strip number
	292	*
	293	* @return Inverse acceptance correction
	294	*/
	295	virtual Float_t AcceptanceCorrection(Char_t r, UShort_t t) const;
0bd4b00f	296	/**
	297	* Generate the acceptance corrections
	298	*
	299	* @param r Ring to generate for
	300	*
	301	* @return Newly allocated histogram of acceptance corrections
	302	*/
	303	virtual TH1D* GenerateAcceptanceCorrection(Char_t r) const;
7e4038b5	304	/**
	305	* Internal data structure to keep track of the histograms
	306	*/
9d99b0dd	307	struct RingHistos : public AliForwardUtil::RingHistos
7e4038b5	308	{
	309	/**
	310	* Default CTOR
	311	*/
	312	RingHistos();
	313	/**
	314	* Constructor
	315	*
	316	* @param d detector
	317	* @param r ring
	318	*/
	319	RingHistos(UShort_t d, Char_t r);
	320	/**
	321	* Copy constructor
	322	*
	323	* @param o Object to copy from
	324	*/
	325	RingHistos(const RingHistos& o);
	326	/**
	327	* Assignment operator
	328	*
	329	* @param o Object to assign from
	330	*
	331	* @return Reference to this
	332	*/
	333	RingHistos& operator=(const RingHistos& o);
	334	/**
	335	* Destructor
	336	*/
	337	~RingHistos();
9d05ffeb	338	/**
	339	* Initialize the object
	340	*
	341	* @param eAxis
	342	*/
	343	void Init(const TAxis& eAxis);
c389303e	344	/**
	345	* Make output
	346	*
	347	* @param dir Where to put it
	348	*/
7e4038b5	349	void Output(TList* dir);
9d99b0dd	350	/**
	351	* Scale the histograms to the total number of events
	352	*
c389303e	353	* @param dir Where the output is
9d99b0dd	354	* @param nEvents Number of events
	355	*/
	356	void ScaleHistograms(TList* dir, Int_t nEvents);
e308a636	357	/**
	358	* Create Poisson histograms
	359	*/
b6b35c77	360	void ResetPoissonHistos(const TH2D* h, Int_t etaLumping, Int_t phiLumping);
	361	TH2D* fEvsN; // Correlation of Eloss vs uncorrected Nch
	362	TH2D* fEvsM; // Correlation of Eloss vs corrected Nch
	363	TProfile* fEtaVsN; // Average uncorrected Nch vs eta
	364	TProfile* fEtaVsM; // Average corrected Nch vs eta
	365	TProfile* fCorr; // Average correction vs eta
	366	TH2D* fDensity; // Distribution inclusive Nch
9d05ffeb	367	TH2D* fELossVsPoisson; // Correlation of energy loss vs Poisson N_ch
b6b35c77	368	TH2D* fTotalStrips; // Total number of strips in a region
	369	TH2D* fEmptyStrips; // Total number of strips in a region
	370	TH2D* fBasicHits ; // Total number basic hits in a region
	371	TH2D* fEmptyVsTotal; // # of empty strips vs total number of strips
9fde7142	372
9fde7142	373
1f480471	374	ClassDef(RingHistos,4);
7e4038b5	375	};
	376	/**
	377	* Get the ring histogram container
	378	*
	379	* @param d Detector
	380	* @param r Ring
	381	*
	382	* @return Ring histogram container
	383	*/
	384	RingHistos* GetRingHistos(UShort_t d, Char_t r) const;
	385
ea3e5d95	386	TList fRingHistos; // List of histogram containers
ea3e5d95	387	Double_t fMultCut; // Low cut on scaled energy loss
5bb5d1f6	388	Double_t fNXi; // Delta-n(xi+sigma) factor
5bb5d1f6	389	Bool_t fIncludeSigma; // Whether or not to include sigma in cut
1174780f	390	TH1D* fSumOfWeights; // Histogram
	391	TH1D* fWeightedSum; // Histogram
	392	TH1D* fCorrections; // Histogram
0bd4b00f	393	UShort_t fMaxParticles; // Maximum particle weight to use
9d05ffeb	394	Bool_t fUsePoisson; // If true, then use poisson statistics
5bb5d1f6	395	Bool_t fUsePhiAcceptance; // Whether to correct for corners
0bd4b00f	396	TH1D* fAccI; // Acceptance correction for inner rings
0bd4b00f	397	TH1D* fAccO; // Acceptance correction for outer rings
1174780f	398	TArrayI fFMD1iMax; // Array of max weights
	399	TArrayI fFMD2iMax; // Array of max weights
	400	TArrayI fFMD2oMax; // Array of max weights
	401	TArrayI fFMD3iMax; // Array of max weights
	402	TArrayI fFMD3oMax; // Array of max weights
5bb5d1f6	403	TH2D* fMaxWeights; // Histogram of max weights
5bb5d1f6	404	TH2D* fLowCuts; // Histogram of low cuts
b6b35c77	405	Int_t fEtaLumping; // How to lump eta bins for Poisson
b6b35c77	406	Int_t fPhiLumping; // How to lump phi bins for Poisson
ea3e5d95	407	Int_t fDebug; // Debug level
5bb5d1f6	408	Double_t fMultCuts[5]; // Per-ring multiplicity cuts
7e4038b5	409
5bb5d1f6	410	ClassDef(AliFMDDensityCalculator,3); // Calculate Nch density
7e4038b5	411	};
	412
	413	#endif
	414	// Local Variables:
	415	// mode: C++
	416	// End:
	417