May 17 – 22, 2021
US/Eastern timezone

Machine Learning Application for Λ Hyperon Reconstruction in CBM at FAIR

May 18, 2021, 12:30 PM
Room D (Zoom)

Room D


zoom co-host: Mriganka Mouli Mondal
Experimental talk Upgrades and New Experiments


Shahid Khan (Eberhard Karls Universität Tübingen)


The Compressed Baryonic Matter (CBM) experiment at FAIR will investigate the QCD phase diagram in the region of high net-baryon densities (µB > 500 MeV) in the collision energy range of √sNN = 2.7−4.9 GeV with high interaction rate, up to 10 MHz, provided by the SIS100 accelerator. Enhanced production of strange baryons can signal transition to a new phase of the QCD matter. Λ hyperons are the most abundantly produced strange baryons. They weakly decay, with a branching ratio of 64%, into a proton and a negatively charged pion (π-). To reconstruct the Λ→π-+p decay kinematics, Particle-Finder Simple (PFSimple) package is used. PFSimple interfaces the mathematics of the Kalman Filter Particle (KFParticle) package and provides a convenient interface to control the reconstruction parameters. For the reduction of combinatorial background specific selection criteria needs to be applied to the proton and π- tracks and Λ-candidates decay topology.

In this work, the performance for Λ hyperon reconstruction in CBM with Machine Learning (ML) algorithms such as XGBoost will be presented. The ML algorithms allow efficient, non-linear and multi-dimensional selection criteria to be implemented and achieve high signal to background ratio in the region around the Λ candidate invariant mass peak.

Collaboration CBM at FAIR

Primary authors

Shahid Khan (University of Tuebingen) Dr Viktor Klochkov ( Eberhard Karls University of Tübingen, Tübingen, Germany) Mr Oleksii Lubynets (GSI, Darmstadt, Germany) Dr Andrea Dubla (GSI, Darmstadt, Germany) Dr Ilya Selyuzhenkov (GSI, Darmstadt, Germany)

Presentation materials