30–31 May 2023
Villa Mondragone
Europe/Rome timezone

Session

GANs

30 May 2023, 11:00
Villa Mondragone

Villa Mondragone

Presentation materials

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  1. Michele Faucci Giannelli (Istituto Nazionale di Fisica Nucleare), Rui Zhang
    30/05/2023, 11:00
  2. Benno Käch (Deutsches-Elektronen Synchrotron (DESY))
    30/05/2023, 11:30
  3. Federico Andrea Guillaume Corchia (Istituto Nazionale di Fisica Nucleare)
    30/05/2023, 12:00
  4. 30/05/2023, 12:30
  5. Federico Andrea Guillaume Corchia (Istituto Nazionale di Fisica Nucleare), Lorenzo Rinaldi (Istituto Nazionale di Fisica Nucleare)

    The simulation of electromagnetic and hadronic interactions in calorimeters is a very demanding process, both in terms of time and computing resources. A novel technique based on Generative Adversarial Networks (GANs) may benefit from a more efficient use of computing resources, although initial training could be computationally demanding. Nowadays and in the near future we expect to have more...

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  6. Vinicius Mikuni (LBNL)
  7. Benno Käch (Deutsches-Elektronen Synchrotron (DESY))

    We propose the application of our previously published Cross AtteNtion meAn-fielD mAtching CANADA-GAN for generating particle showers in high-granularity datasets. Results are presented for dataset 2 and 3. Point cloud generative models are known to benefit from higher granularity, making these datasets well-suited for high-granularity calorimeters. Although the regular architecture of the...

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