ITS/AliITSstatistics2.h

   1 #ifndef ALIITSSTATISTICS2_H
   2 #define ALIITSSTATISTICS2_H
   3 //////////////////////////////////////////////////////////////////////////
   4 //  Alice ITS first detector alignment program.                         //
   5 //                                                                      //
   6 // version: 0.0.0 Draft.                                                //
   7 // Date: April 18 1999                                                  //
   8 // By: Bjorn S. Nilsen                                                  //
   9 //                                                                      //
  10 //////////////////////////////////////////////////////////////////////////
  11 #include "TObject.h"
  12
  13 class AliITSstatistics2 : public TObject {
  14 //
  15
  16  public:
  17     AliITSstatistics2();
  18     AliITSstatistics2(Int_t order);
  19          AliITSstatistics2(AliITSstatistics2 &source); // copy  constructor
  20          AliITSstatistics2& operator=(AliITSstatistics2 &source); // operator=
  21     virtual ~AliITSstatistics2();
  22     void Reset();
  23     void AddValue(Double_t y,Double_t x,Double_t w);
  24     Double_t GetXNth (Int_t order);
  25     Double_t GetYNth (Int_t order);
  26     Double_t GetYXNth(Int_t order);
  27     Double_t GetMeanY()  {
  28                                // return mean y
  29                                return GetYNth(1);
  30                                                                  };
  31     Double_t GetMeanX()  {
  32                                // return mean x
  33                                return GetXNth(1);
  34                                                                  };
  35     Double_t GetMeanYX() {
  36                                // return mean Y*X
  37                                return GetYXNth(1);
  38                                                                  };
  39     Int_t GetN(){
  40                       // retrun the number of entries
  41                       return fN;
  42                                          };
  43     Int_t GetOrder(){
  44                           // return the maximum moment order
  45                           return fOrder;
  46                                                   };
  47     Double_t GetXN (Int_t order){
  48                                       // returns x^n
  49                                       return fX[order-1];
  50                                                                                   };
  51     Double_t GetYN (Int_t order){
  52                                       // returns y^n
  53                                       return fY[order-1];
  54                                                                                   };
  55     Double_t GetYXN(Int_t order){
  56                                       // returns (yx)^n
  57                                       return fYx[order-1];
  58                                                                                   };
  59     Double_t GetWN (Int_t order){
  60                                       // returns w^n (weight)
  61                                       return fW[order-1];
  62                                                                                   };
  63     Double_t GetRMSY();
  64     Double_t GetRMSX();
  65     Double_t GetRMSYX();
  66     Double_t GetErrorMeanY();
  67     Double_t GetErrorMeanX();
  68     Double_t GetErrorMeanYX();
  69     Double_t GetErrorRMSY();
  70     Double_t GetErrorRMSX();
  71     Double_t GetErrorRMSYX();
  72     Double_t FitToLine(Double_t &a,Double_t &b);
  73
  74  private:
  75     Int_t  fN;       // number of enetries
  76     Int_t  fOrder;   // maximum moment of distributions (^n)
  77     Double_t *fX;    //[fOrder] array of sums of x^n
  78     Double_t *fYx;   //[fOrder] array of sums of (xy)^n
  79     Double_t *fY;    //[fOrder] array of sums of y^n
  80     Double_t *fW;    //[fOrder] array of sums of w^n (weights)
  81
  82
  83     ClassDef(AliITSstatistics2,1)  //compute usueful statistics in 2D
  84 };
  85 #endif