Machine Learning for end-to-end Fast Detector Simulation

Europe/Zurich
virtual

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

    • 1
      Introduction
      Speakers: Krzysztof Genser (Fermi National Accelerator Laboratory (US)), Tommaso Lari (University and INFN, Milano), Kolja Kauder (Brookhaven National Lab)
    • 2
      FlashSim: a flow-based end-to-end simulation framework for CMS NanoAOD
      Speaker: Francesco Vaselli (Scuola Normale Superiore & INFN Pisa (IT))
    • 3
      Lamarr: implementing the flash-simulation paradigm at LHCb
      Speaker: Matteo Barbetti (INFN CNAF)
    • 4
      Discussion