Machine Learning Application for Λ Hyperon Reconstruction in CBM at FAIR

The Compressed Baryonic Matter experiment at FAIR will investigate the QCD phase diagram in region of high net-baryon densities. Enhanced production strange baryons, such as most abundantly produced $\Lambda$ hyperons, can signal transition to a new matter. In this work, CBM performance for reconstruction hyperon via its decay proton and $\pi^{-}$ is presented. Decay topology implemented Particle-Finder Simple (PFSimple) package with Machine Learning algorithms providing efficient selection decays background ratio.