Machine Learning for end-to-end Fast Detector Simulation

Monday 3 Jun 2024, 17:30 → 19:00 Europe/Zurich

virtual

Krzysztof Genser (Fermi National Accelerator Laboratory (US)), Kolja Kauder (Brookhaven National Lab), Tommaso Lari (University and INFN, Milano)

Minutes :

https://docs.google.com/document/d/1dTNVlBsQ4IcVaInrWvEzFMmvdiNf-jSFv8MrrklrgEk/edit?usp=sharing

GMT20240603-153519_Recording_2560x1440.mp4

Live Notes

17:30 → 17:35 Introduction

Speakers: Krzysztof Genser (Fermi National Accelerator Laboratory (US)), Tommaso Lari (University and INFN, Milano), Kolja Kauder (Brookhaven National Lab)

Presentazione.pdf

17:35 → 18:05 FlashSim: a flow-based end-to-end simulation framework for CMS NanoAOD

Speaker: Francesco Vaselli (Scuola Normale Superiore & INFN Pisa (IT))

FlashSim slides

18:05 → 18:35 Lamarr: implementing the flash-simulation paradigm at LHCb

Speaker: Matteo Barbetti (INFN CNAF)

lamarr_hsf-det-sim-wg_mbarbetti.pdf

18:35 → 18:50 Discussion