Machine Learning for end-to-end Fast Detector Simulation

Name: Machine Learning for end-to-end Fast Detector Simulation
Start: 2024-06-03T17:30:00+02:00
End: 2024-06-03T19:00:00+02:00
Location: virtual

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)

Description

Minutes :

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

- 17:30 → 17:35
  
  Introduction 5m
  
  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 30m
  
  Speaker: Francesco Vaselli (Scuola Normale Superiore & INFN Pisa (IT))
  
  FlashSim slides
- 18:05 → 18:35
  
  Lamarr: implementing the flash-simulation paradigm at LHCb 30m
  
  Speaker: Matteo Barbetti (INFN CNAF)
  
  lamarr_hsf-det-sim-wg_mbarbetti.pdf
- 18:35 → 18:50
  
  Discussion 15m

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Machine Learning for end-to-end Fast Detector Simulation

virtual