Machine learning application for Λ 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 effcient selection of the decays and high signal to background ratio.

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Author:Shahid KhanORCiD, Viktor KlochkovORCiD, Olha LavorykORCiD, Oleksii Lubynets, Ali Imdad Khan, Andrea DublaORCiDGND, Ilya SelyuzhenkovORCiD
URN:urn:nbn:de:hebis:30:3-717939
DOI:https://doi.org/10.1051/epjconf/202225913008
ISSN:2100-014X
Parent Title (English):EPJ Web of Conferences
Publisher:EDP Sciences
Place of publication:Les Ulis
Document Type:Article
Language:English
Date of Publication (online):2022/02/01
Date of first Publication:2022/02/01
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Contributing Corporation:International Conference of Strangeness in Quark Matter (19. : 2021 : Online)
Release Date:2023/03/02
Volume:259
Issue:13008
Page Number:4
HeBIS-PPN:507192354
Institutes:Physik / Physik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0