DPG Phi
Verhandlungen
Verhandlungen
DPG

SMuK 2023 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

HK: Fachverband Physik der Hadronen und Kerne

HK 54: AI Topical Day – Heavy-Ion Collisions and QCD Phases XI (joint session HK/AKPIK)

HK 54.3: Vortrag

Donnerstag, 23. März 2023, 14:30–14:45, HSZ/0105

Physics performance studies on Ξ Baryon at CBM — •Lisa-Katrin Kümmerer1,2, Andrea Dubla2, and Ilya Selyuzhenkov2 for the CBM collaboration — 1Physikalisches Institut, Universität Heidelberg — 2GSI Helmholtzzentrum für Schwerionenforschung, Darmstadt

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. The (multi)strange baryons are crucial in determining the chemical freeze-out and its connection to hadronization from deconfined QCD matter.

In this contribution the performance for Ξ selection in Au-Au collisions at √sNN = 4.93 GeV in the CBM experiment will be presented. The Ξ hyperon is reconstructed via the weak decay channel Ξ → (Λ → p π) π using the Particle-Finder Simple package.

For the reduction of the data size, which is driven by the large combinatorial background, specific skimming pre-selection criteria are optimized in this work. To obtain an optimal and stable separation between signal and background candidates the machine learning tool XGBoost is used. Machine learning allows for efficient, non-linear and multi-dimensional selection criteria to be implemented in a heavy-ion collision environment, enabling to extract and correct the Ξ raw yield in different rapidity and transverse momentum intervals.

100% | Mobil-Ansicht | English Version | Kontakt/Impressum/Datenschutz
DPG-Physik > DPG-Verhandlungen > 2023 > SMuK