SPMS 2023

Session

Data processing

27 Jun 2023, 11:00

12. Transformer-based models for detector simulation

Kristina Jarůšková (FNSPE CTU in Prague)

27/06/2023, 11:00

Detector simulations are an important component of the research in High Energy Physics. However, the current Mote Carlo-based simulation tools are computationally intensive and finding a faster alternative is necessary. This talk focuses on the current development in the domain of using deep learning models for calorimeter simulations, namely the experimentation with transformer neural networks.

3. Application of machine learning methods for the identification of proton decay in liquid argon detector

Anna Guľa Gartman

27/06/2023, 11:20

The Deep Underground Neutrino Experiment (DUNE) is a long baseline neutrino oscillation experiment hosted by the Fermi National Accelerator Laboratory (Fermilab). Beyond its primary focus on advancing neutrino physics, DUNE also aspires to explore the possibility of proton decay, which holds the potential to provide evidence for grand unified theories.
The DUNE far detector comprising four 10...