Description
Simulation of Calorimeters is a computational-costly process. Different strategies to replace these simulations with generative models are currently developed. This is especially important for the High Luminosity LHC and the coming high granularity upgrade of the CMS forward calorimeter. The summer student will have opportunities to learn about generative modelling and calorimetry.
We will explore different strategies to use Generative Adversarial Networks with different complexities.
Special Qualifications:
- Experience in programming is essential
- Exposure to Deep Learning considered an asset
| Field | B1: Particle physics analysis (software-oriented) |
|---|---|
| DESY Place | Hamburg |
| DESY Division | FH |
| DESY Group | CMS |
Primary author
Dirk Kruecker
(CMS (CMS Fachgruppe Searches))
Co-authors
Simon Patrik Schnake
(CMS (CMS Fachgruppe Searches))
Isabell Melzer-Pellmann
(CMS (CMS-Experiment))
