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JENNIFER2 Project General Meeting

June 2, 2024
KEK, Tsukuba Campus
Asia/Tokyo timezone

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Contribution List

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  1. 1. Welcome address
    6/2/24, 10:30 AM
  2. 2. Coordinator's Report
    Antonio Passeri (Istituto Nazionale di Fisica Nucleare)
    6/2/24, 10:40 AM
  3. 17. WP1 overview
    Christoph Schwanda (Institute of High Energy Physics, Austrian Academy of Sciences)
    6/2/24, 11:10 AM
  4. 18. Search for B-> K l tau
    Junaid Ur Rehman (COMSATS University Islamabad)
    6/2/24, 11:30 AM
  5. 12. Status and commissioning of the ND280 upgrade
    Emilio Radicioni (Istituto Nazionale di Fisica Nucleare)
    6/2/24, 11:45 AM
  6. 5. Computing
    Silvio Pardi (Istituto Nazionale di Fisica Nucleare)
    6/2/24, 12:15 PM
  7. 19. Real Time machine learning techniques
    Dmytro Meleshko (Giessen University)
    6/2/24, 12:30 PM
  8. 14. WP5 intro and outer detector status
    Francesca Di Lodovico (King's College London)
    6/2/24, 1:50 PM
  9. 15. HyperK software development
    Thomas Dealtry (Lancaster University)
    6/2/24, 2:10 PM
  10. 16. HyperK electronics
    Luigi Lavitola (Istituto Nazionale di Fisica Nucleare)
    6/2/24, 2:25 PM
  11. 3. SiPM and MCP-PMT activities
    Rok Pestotnik
    6/2/24, 2:40 PM
  12. 4. Organic photodetectors R&D
    Paolo Branchini (Istituto Nazionale di Fisica Nucleare)
    6/2/24, 3:00 PM
  13. 20. Determination of Vcb from the decay B->D l nu
    Philipp Horak (HEPHY Vienna)
    6/2/24, 3:15 PM
  14. 13. T2K oscillation and cross section analyses
    Tomas Nosek (CUNI)
    6/2/24, 4:00 PM
  15. 21. mPMT for HyperK
    Vincenzo Berardi (Istituto Nazionale di Fisica Nucleare)
    6/2/24, 4:20 PM
  16. 7. Statistical methods
    Diego Tonelli (Istituto Nazionale di Fisica Nucleare)
    6/2/24, 4:35 PM
  17. 8. Theory and generators activities
    6/2/24, 4:55 PM
  18. 9. The KEK Sumer Student Program
    Shohei Nishida (KEK)
    6/2/24, 5:00 PM
  19. 10. Masterclass activities
    6/2/24, 5:15 PM
  20. 11. PhD Co-supervision program
    6/2/24, 5:30 PM
  21. 6. Real time ML techniques
    Dmytro Meleshko (Giessen University)