MICRO-WORKSHOP ON MACHINE LEARNING AIDED SHOWER DETECTION

Europe/Warsaw
421N (Pedagogical University of Krakow)

421N

Pedagogical University of Krakow

Podchorążych 2, 30-084 Kraków
Łukasz Bibrzycki (Institute of Computer Science, Pedagogical University of Krakow)
Participants
  • Agata Dominiak
  • Alexnader Ayriyan
  • Apoorva Bhatt
  • Arman Tursunov
  • Berenika Čermáková
  • David Alvarez Castillo
  • Jacek Bienias
  • Jagiellonian Cracow
  • Julia Idczak
  • Kacper Dorszewski
  • Katarzyna Smelcerz
  • Kevin Almeida Cheminant
  • Krzysztof Rzecki
  • Krzysztof Wozniak
  • Luis Del Peral
  • Marcin Kasztelan
  • Marcin Piekarczyk
  • Martin Kološ
  • Michal Frontczak
  • Michal Karbowiak
  • Michał Niedźwiecki
  • Noemi Zabari
  • Olaf Bar
  • Oleksandr Sushchov
  • Piotr Homola
  • Radim Pánis
  • Robert Kaminski
  • Sławomir Stuglik
  • Tadeusz Wibig
  • Tomasz Antonik
  • Tomasz Hachaj
  • Tomasz Sośnicki
  • Łukasz Bibrzycki
    • 11:00 AM 11:15 AM
      Welcome address 15m

      Piotr Homola, the CREDO Project Coordinator, Institute of Nuclear Physics PAN, Kraków

    • 11:15 AM 12:00 PM
      Status of the CREDO Detector and CREDO-ML 45m

      Łukasz Bibrzycki, Institute of Computer Science, Pedagogical
      University of Krakow

    • 12:00 PM 1:30 PM
      Brainstorming on ML aided CR detection. 1h 30m

      Topics:
      - increase of the morphological dataset by one order of magnitude:
      annotators recruitment, annotation quality assurance, automatic annotation, etc.
      - inclusion of metadata (timestamp, geolocation, hit orientation etc.) in the training process

    • 1:30 PM 2:00 PM
      Lunch break 30m
    • 2:00 PM 2:45 PM
      CORSIKA below the knee 45m

      Tadeusz Wibig, Faculty of Physics and Applied Informatics, University of Łódź

    • 2:45 PM 4:30 PM
      Brainstorming on EAS simulation 1h 45m

      Topics:
      - physics model (CORSIKA),
      - detector understanding (Geant),
      - statistical considerations,
      - investigator recruitment,
      - politics - target paper selection in multidisciplinary environment.