Speaker
Kristina Jarůšková
(FNSPE CTU in Prague)
Description
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.
Primary author
Kristina Jarůšková
(FNSPE CTU in Prague)
