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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
