• DOI:10.1051/epjconf/202225913008
• Corpus ID: 237420751

Machine Learning Application for Λ Hyperon Reconstruction in CBM at FAIR

@article{Khan2021MachineLA,
  title={Machine Learning Application for $\Lambda$ Hyperon Reconstruction in CBM at FAIR},
  author={Shahid Hassan Khan and Viktor Klochkov and Olha Lavoryk and Oleksii Lubynets and Ali Imdad Khan and A. Dubla and Ilya Selyuzhenkov},
  journal={EPJ Web of Conferences},
  year={2021}
}

• S. Khan, V. Klochkov, +4 authors I. Selyuzhenkov
• Published 30 August 2021
• Physics
• EPJ Web of Conferences

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.