TY  - JOUR
A1  - Khan, Shahid
A1  - Klochkov, Viktor
A1  - Lavoryk, Olha
A1  - Lubynets, Oleksii
A1  - Imdad Khan, Ali
A1  - Dubla, Andrea
A1  - Selyuzhenkov, Ilya
T1  - Machine learning application for Λ reconstruction in CBM at FAIR
T2  - EPJ Web of Conferences
N2  - 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.
Y1  - 2022
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/71793
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-717939
SN  - 2100-014X
VL  - 259
IS  - 13008
PB  - EDP Sciences
CY  - Les Ulis
ER  -