29. Oktober 2024
GSI Helmholtzzentrum für Schwerionenforschung GmbH
Europe/Berlin Zeitzone

Reconstruction of Weak Decays using Machine Learning with HADES

29.10.2024, 15:00
15m
KBW Lecture Hall (GSI Helmholtzzentrum für Schwerionenforschung GmbH)

KBW Lecture Hall

GSI Helmholtzzentrum für Schwerionenforschung GmbH

Planckstraße 1, 64291 Darmstadt, Germany
Heavy-ion Physics Session

Sprecher

Dr. Simon Spies (Goethe-University Frankfurt)

Beschreibung

In this contribution we present weak decay topology recognition utilizing an artifial Neural Network. This approach significantly improved the precision of the analysis of Λ hyperons and K0s mesons and enabled us to measure more rare probes like the Ξ hyperon or Hypernuclei for the first time in heavy-ion collisions with HADES. We highlight the choice of input parameters as well as the applied training proceedure and finally present the obtained results.

Hauptautor

Dr. Simon Spies (Goethe-University Frankfurt)

Präsentationsmaterialien