class AliESDv0: public AliVParticle

 Default constructor  (K0s)

 The copy constructor

 Main constructor  (K0s)

 The assignment operator

 Empty destructor

 This gives the energy assuming the ChangeMassHypothesis was called

 This gives the energy assuming the ChangeMassHypothesis was called

 This gives the energy with the particle hypothesis as argument

 This gives the rapidity with the particle hypothesis as argument

 This gives the pseudorapidity assuming a K0s particle

 This gives the pseudorapidity assuming a (Anti) Lambda particle

 This gives the Armenteros-Podolanski alpha

 This gives the Armenteros-Podolanski ptarm

 This function changes the mass hypothesis for this V0
 and returns the "kinematical quality" of this hypothesis

 This function returns V0's momentum (global)

 This function returns V0's position (global)

 This function returns V0's impact parameter calculated in 2D in XY plane

 This function returns V0's impact parameter calculated in 3D

 calculates the pointing angle of the V0 wrt a reference point

 return sigmay in y  at vertex position  using covariance matrix

 return sigmay in y  at vertex position  using covariance matrix

 Sigma parameterization using covariance matrix

 sigma of distance between two tracks in vertex position
 sigma of DCA is proportianal to sigmaD0
 factor 2 difference is explained by the fact that the DCA is calculated at the position
 where the tracks as closest together ( not exact position of the vertex)

Sigma parameterization using covariance matrices

 minimax - effective Sigma parameterization
 p12 effective curvature and v0 radius postion used as parameters

 effective Sigma parameterization of point angle resolution

 calculate mini-max effective sigma of point angle resolution

compv0->fTree->SetAlias("SigmaAP2","max(min((SigmaAP0+SigmaAPE0)*0.5,1.5*SigmaAPE0),0.5*SigmaAPE0+0.003)");

 calculate mini-max sigma of dca resolution

compv0->fTree->SetAlias("SigmaD2","max(min((SigmaD0+SigmaDE0)*0.5,1.5*SigmaDE0),0.5*SigmaDE0)");

 get likelihood for point angle

 get likelihood for DCA

 get likelihood for Causality
 !!!  Causality variables defined in AliITStrackerMI !!!
      when more information was available

 set probabilities

 Set its clusters indexes

 calculate effective mass

 type:
   0 - return mass
   1 - return err mass
   2 - return chi2

 type
   0 - return mass
   1 - return err mass
   2 - return chi2
   d1pt - 1/pt shift
   s1pt - scaling of 1/pt
 Important function to benchmark the pt resolution, and to find out systematic distortion

 Start with AliVParticle functions

 Dummy

virtual Bool_t   GetPxPyPz(Double_t */*p*/) const { return kFALSE; }