Machine Learning Application for $\mathbfΛ$ Hyperon Reconstruction in CBM at FAIR

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

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