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Machine Learning Application for Λ Hyperon Reconstruction in CBM at FAIR
oleh: Khan Shahid, Klochkov Viktor, Lavoryk Olha, Lubynets Oleksii, Imdad Khan Ali, Dubla Andrea, Selyuzhenkov Ilya
Format: | Article |
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Diterbitkan: | EDP Sciences 2022-01-01 |
Deskripsi
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 effcient selection of the decays and high signal to background ratio.