TADAML 2025 - Telescope Array Data Analysis & Machine Learning Workshop 2025

Asia/Taipei
Institute of Physics, Academia Sinica

Institute of Physics, Academia Sinica

No. 128, Sec. 2, Academia Rd., Nangang Dist., Taipei City 115201, Taiwan (R.O.C.)
Anatoli Fedynitch (Institute of Physics, Academia Sinica), Anton Prosekin (Institute of Physics, Academia Sinica), Hiroyuki Sagawa (ICRR, The University of Tokyo), Karolin Hymon (Institute of Physics, Academia Sinica), Kozo Fujisue (Institute of Physics, Academia Sinica), Stefan Fröse (Institute of Physics, Academia Sinica)
Description

We are happy to announce the international Telescope Array Data Analysis & Machine Learning Workshop 2025 (TADAML 2025) at Academia Sinica!

The workshop will bring together the developers of a next-generation event reconstruction method, data analyzers, and PIs from the Telescope Array collaboration. The aim of the workshop is to:

  1. Report about ongoing efforts or planned machine learning projects in TA.
  2. Education for students and collaborators in machine learning methods.
  3. Hands-on training for modern computational methods and data analysis applied to TA.

We will provide travel support for limited participants from nearby regions. Please register and apply as soon as possible, indicating whether you require travel support.

We acknowledge the Academia Sinica, Taiwan's National Science and Technology Council (NSTC) program, and the Core-to-Core program of the Japan Society for the Promotion of Science (JSPS) for generously supporting the workshop.

Remote participation will be possible via Zoom.

Contact: stefanfroese@as.edu.tw

    • 08:30 09:00
      Registration 30m
    • 09:00 09:20
      Organization: Welcome & Introduction
    • 09:20 10:30
      Participant Talks: Trial and Error
    • 10:30 10:50
      Coffee Break 20m
    • 10:50 12:30
      Participant Talks: Trial and Error
    • 12:30 14:00
      Lunch (on your own) 1h 30m
    • 14:00 15:30
      Participant Talks: Trial and Error
    • 15:30 15:50
      Coffee Break 20m
    • 15:50 17:00
      Participant Talks: Trial and Error
    • 17:00 18:00
      Invited Talks:: Machine Learning
    • 18:00 20:00
      Social Event: Welcome Reception
    • 09:00 10:00
      Invited Talks:: Jonas Glombitza
    • 10:30 11:00
      Coffee Break 30m
    • 11:00 12:30
      Hands-On Lecture
    • 12:30 14:00
      Lunch (on your own) 1h 30m
    • 14:00 15:00
      Invited Talks:: Machine Learning for the Global Cosmic Ray Observatory
      Convener: Toshihiro Fujii (OMU)
    • 15:00 15:30
      Coffee Break 30m
    • 15:30 18:00
      Hands-On Lecture
    • 18:00 21:00
      Social Event: Dinner
    • 09:00 10:00
      Invited Talks:: Data Analysis
    • 10:00 10:20
      Coffee Break 20m
    • 10:20 12:30
      Hands-On Lecture
    • 12:30 14:00
      Lunch (on your own) 1h 30m
    • 14:00 15:30
      Hands-On Lecture
    • 15:30 15:50
      Coffee Break 20m
    • 15:50 17:30
      Invited Talks:: Future plans with the ML WG, Rapporteur Talk
    • 17:30 18:00
      Organization: Closing Remarks