Speaker
Dr
Simon Spies
(Goethe-University Frankfurt)
Description
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.
Primary author
Dr
Simon Spies
(Goethe-University Frankfurt)