Contribution List

19 out of 19 displayed
  1. 12/09/2024, 17:00
  2. Andrea García Alonso (Nikhef)
    13/09/2024, 09:10
  3. Dr Wouter Waalewijn (University of Amsterdam)
    13/09/2024, 09:30
  4. Dr Clara Nellist (University of Amsterdam)
    13/09/2024, 10:00
  5. Dr Armin Ilg (University of Zurich)
    13/09/2024, 11:10
  6. Prof. Jorgen D' Hondt (VU Brussel)
    13/09/2024, 11:30
  7. Prof. Antonio Pellegrino (University of Groningen)
    13/09/2024, 13:30
  8. Prof. Tristan du Pree (University of Twente)
    13/09/2024, 13:45
  9. Kirill Skovpen (Ghent University)
    13/09/2024, 14:15
  10. Dr Mara Senghi Soares (Vrije Universiteit Amsterdam)
    13/09/2024, 15:15
  11. Armin Ilg (University of Zurich), Clara Nellist (University of Amsterdam), Jorgen D' Hondt (VU Brussel), Mara Senghi Soares (Vrije Universiteit Amsterdam)
    13/09/2024, 15:45
  12. Marion Missio (Nikhef - Radboud University)
    13/09/2024, 16:45
  13. Eduardo Ploerer (UZH/VUB)

    CMOS Monolithic Active Pixel Sensors (MAPS) have become a prominent technology choice for tracking and vertexing detectors in high-energy physics experiments over the last decades. The ALICE ITS3 project foresees the use of ultra-light MAPS, developed in the 65 nm imaging process, for the vertex detector in the ALICE experiment at the LHC to improve the vertexing performance drastically. This...

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  14. Kunal Gautam (VUB [BE]/UZH [CH])

    Jet flavour tagging is crucial in experimental high-energy physics. A tagging algorithm, DeepJetTransformer, is presented, which exploits a transformer-based neural network that is substantially faster to train.

    The DeepJetTransformer network uses information from particle flow-style objects and secondary vertex reconstruction as is standard for $b$- and $c$-jet identification...

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