| Issue |
EPJ Web Conf.
Volume 259, 2022
The 19th International Conference of Strangeness in Quark Matter (SQM 2021)
|
|
|---|---|---|
| Article Number | 13008 | |
| Number of page(s) | 4 | |
| Section | Open and New (Parallel) | |
| DOI | https://doi.org/10.1051/epjconf/202225913008 | |
| Published online | 01 February 2022 | |
https://doi.org/10.1051/epjconf/202225913008
Machine Learning Application for Λ Hyperon Reconstruction in CBM at FAIR
1 Eberhard Karls University of Tübingen
2 Taras Shevchenko National University of Kyiv
3 GSI, Darmstadt ;
4 Goethe University Frankfurt
5 NRNU MEPhI, Moscow
* e-mail: shahidzafarkhan@gmail.com
Published online: 1 February 2022
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.
© The Authors, published by EDP Sciences, 2022
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