+++ /dev/null
-/**************************************************************************
- * Copyright(c) 1998-1999, ALICE Experiment at CERN, All rights reserved. *
- * *
- * Author: The ALICE Off-line Project. *
- * Contributors are mentioned in the code where appropriate. *
- * *
- * Permission to use, copy, modify and distribute this software and its *
- * documentation strictly for non-commercial purposes is hereby granted *
- * without fee, provided that the above copyright notice appears in all *
- * copies and that both the copyright notice and this permission notice *
- * appear in the supporting documentation. The authors make no claims *
- * about the suitability of this software for any purpose. It is *
- * provided "as is" without express or implied warranty. *
- **************************************************************************/
-
-
-//-------------------------------------------------------------------------
-// Helper -DATA class ESD V0 vertex class
-// contains effective errror parameterization
-// Effective parameterization of resolution in DCA and PA as function of radii and momenta
-// Mini-max coeficient fPMinFraction... fPMaxFraction...
-// as limits for Error parameterization using Covariance matrix
-// For detailes : see AliESDv0 class
-//
-// Origin: Marian Ivanov marian.ivanov@cern.ch
-//-------------------------------------------------------------------------
-
-
-#include "AliESDV0Params.h"
-
-
-ClassImp(AliESDV0Params)
-
-
-
-
-AliESDV0Params::AliESDV0Params() :
- TObject(),
- // These constants are used in the error parameterization using covariance matrix
- // minimal sigma in AP and DCA
- fPSigmaOffsetD0(0.03), // minimal sigma of error estimate
- fPSigmaOffsetAP0(0.005),
- //
- // Effective parameterization of DCA resolution as function of pt and decay radii
- //
- fPSigmaMaxDE(0.5),
- fPSigmaOffsetDE(0.06),
- fPSigmaCoefDE(0.02),
- fPSigmaRminDE(2.7),
- //
- //
- // Effective parameterization of PA resolution as function of pt and decay radii
- //
- fPSigmaBase0APE(0.005),
- fPSigmaMaxAPE(0.06),
- fPSigmaR0APE(0.02),
- fPSigmaR1APE(0.1),
- fPSigmaP0APE(0.7*0.4),
- fPSigmaP1APE(0.3*0.4),
- //
- //
- // Minimax parameters
- //
- fPMinFractionAP0(0.5),
- fPMaxFractionAP0(1.5),
- fPMinAP0(0.003),
- fPMinFractionD0(0.5),
- fPMaxFractionD0(1.5),
- fPMinD0(0.05),
- fkMaxDist0(0.1),
- fkMaxDist1(0.1),
- fkMaxDist(1.),
- fkMinPointAngle(0.85),
- fkMinPointAngle2(0.99),
- fkMinR(0.5),
- fkMaxR(220.),
- fkMinPABestConst(0.9999),
- fkMaxRBestConst(10.),
- fkCausality0Cut(0.19),
- fkLikelihood01Cut(0.45),
- fkLikelihood1Cut(0.5),
- fkCombinedCut(0.55),
- fkMinClFullTrk(5.0),
- fkMinTgl0(1.05),
-
- fkMinClForb0(4.5),
- fkMinRTgl0(40.),
- fkMinNormDistForbTgl0(3.0),
- fkMinNormDistForb1(3.0),
- fkMinNormDistForb2(2.0),
- fkMinNormDistForb3(1.0),
- fkMinNormDistForb4(4.0),
- fkMinNormDistForb5(5.0),
- fkMinNormDistForbProt(2.0),
- fkMaxPidProbPionForb(0.5),
- fkMinRTPCdensity(40.),
- fkMaxRTPCdensity0(110.),
- fkMaxRTPCdensity10(120.),
- fkMaxRTPCdensity20(130.),
- fkMaxRTPCdensity30(140.),
-
- fkMinTPCdensity(0.6),
- fkMinTgl1(1.1),
- fkMinTgl2(1.),
- fkMinchi2before0(16.),
- fkMinchi2before1(16.),
- fkMinchi2after0(16.),
- fkMinchi2after1(16.),
- fkAddchi2SharedCl(18.),
- fkAddchi2NegCl0(25.),
- fkAddchi2NegCl1(30.),
-
- fkSigp0Par0(0.0001),
- fkSigp0Par1(0.001),
- fkSigp0Par2(0.1),
- fkSigpPar0(0.5),
- fkSigpPar1(0.6),
- fkSigpPar2(0.4),
- fkMaxDcaLh0(0.5),
-
- fkChi2KF(100.),
- fkRobustChi2KF(100.),
- fgStreamLevel(0)
-
- //
-
-{
- //
- // Default constructor
- // Consult AliESDv0 to see actual error parameterization
- //
-}
-
-
-