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.
Author: | Shahid KhanORCiD, Viktor KlochkovORCiD, Olha LavorykORCiD, Oleksii LubynetsORCiDGND, Ali Imdad Khan, Andrea DublaORCiDGND, Ilya SelyuzhenkovORCiD |
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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): | Creative Commons - Namensnennung 4.0 |