Design of a toy Monte Carlo model to predict experimental precision on flow measurement

The study of the azimuthal anisotropy of final-state particle distribution allows a better understanding of the perfect fluid properties of the Quark-Gluon Plasma (QGP). Using a Toy Monte Carlo generator, we have measured flow coefficient (vn) as a function of the number of events, particle multiplicity and signal strength (vn magnitude) with a 2-particle cumulant technique. This study allows to demonstrate that cumulant technique works down to small particle multiplicities and signal strength. In addition, it is a good tool to predict experimental precision as a function of number of events, particle multiplicity and signal strength