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740ebff3 1#ifndef ALIGAUSCORR_H
2#define ALIGAUSCORR_H
3/* Copyright(c) 2001-2002, ALICE Experiment at CERN, All rights reserved. *
4 * See cxx source for full Copyright notice */
5#include <TMatrixD.h>
6class TArrayD;
7
8
9class AliGausCorr : public TObject {
10////////////////////////////////////////////////////////////////////////
11// Class used to generate correlated gaussian numbers with mean
12// zero and known covariance matrix.
13// Adapted from the Fortran code in Cernlib V122 (corset, corgen)
14// F. James, Monte Carlo theory and practice,
15// Rep. Prog. Phys. 43 (1980) 1145-1189.
16// M.Masera 14.03.2001 19:30 - last mod. 26.02.2002 17:45
17////////////////////////////////////////////////////////////////////////
18 public:
19 //
20 AliGausCorr();
21 AliGausCorr(const TMatrixD & cov, Int_t size);
22 AliGausCorr(const AliGausCorr & tgcorr);
23 virtual ~AliGausCorr();
24 void GetGaussN(TArrayD &vec) const;
25 TMatrixD GetSqrtMatrix() const { return *fCv;}
26 void PrintCv() const;
27 AliGausCorr & operator=(const AliGausCorr & tgcorr);
28 //
29 private:
30 //
31 Int_t fSize; // number of correlated gaussian random numbers
32 TMatrixD *fCv; // 'square root' of the covariance matrix
33
34 ClassDef(AliGausCorr,1)
35};
36
37
38#endif
39
40
41