TAML 2024 - Telescope Array Machine Learning Workshop 2024

22 Oct 2024, 08:00 → 25 Oct 2024, 18:00 Asia/Taipei

1F Auditorium (near lobby) (Institute of Physics, Academia Sinica)

Anatoli Fedynitch (Institute of Physics, Academia Sinica), Anton Prosekin (Institute of Physics, Academia Sinica), Hiroyuki Sagawa (ICRR Utokyo), Karolin Hymon (Academia Sinica), Kozo Fujisue (Institute of Physics, Academia Sinica), Svetlana Sam

We are happy to announce the first international Telescope Array Machine Learning Workshop 2024 (TAML 2024) 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 and their applications on TA simulation or data.
3. Hands-on training for selected computational tools and in the TAi Framework developed here at Academia Sinica, designed for training deep-neural networks to reconstruct surface detector data.

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.

The Academia Sinica Grand Challenge SEED program and the Japan Society for the Promotion of Science (JSPS) generously support the workshop.

Remote participation will be possible via Zoom.

Contact: taml-organizers@googlegroups.com

Tuesday 22 October

Registration

Welcome and workshop introduction

1 Welcome from the organizers

Speakers: Anatoli Fedynitch (Institute of Physics, Academia Sinica), Hiroyuki Sagawa (ICRR Utokyo)

2 Introduction to the Telescope Array experiment

Speaker: Hiroyuki Sagawa (ICRR Utokyo)

10:35 Coffee break

Lectures: Neural networks 1 & reproducible analysis

3 Reproducible analysis

Speaker: Stefan Froese

4 Neural networks 1

Speaker: Dr Anton Prosekin (Institute of Physics, Academia Sinica)

12:30 Lunch (on your own)

Lectures: ML lectures

5 Neural networks 2

Speaker: Dr Anton Prosekin (Institute of Physics, Academia Sinica)

Hands-on session: simple neural networks

6 Simple neural networks 1

Speaker: Karolin Hymon (Academia Sinica)

7 Simple neural networks 2

Speaker: Karolin Hymon (Academia Sinica)

Welcome reception

Wednesday 23 October

Invited talks: SD

8 SD design and operation

Speaker: Prof. Eiji Kido

9 SD data analysis and reconstruction

Speaker: Kozo Fujisue (Institute of Physics, Academia Sinica)

10:30 Coffee break

Invited talks: FD & hybrid

10 FD design and operation

Speaker: Takayuki Tomida

11 FD data analysis and reconstruction

Speaker: Dr Hitoshi Oshima

12 Hybrid detection and data analysis

Speaker: Prof. Heungsu Shin

12:30 Lunch (on your own)

Hands-on session: Data preparation and TAi

13 TAi, srecog and DST Parser

Speakers: Dr Anton Prosekin (Institute of Physics, Academia Sinica), Kozo Fujisue (Institute of Physics, Academia Sinica)

14 Hands-on training with TAi

Thursday 24 October

Excursion

Friday 25 October

Contributed talks: ongoing projects in TA

15 Extragalactic magnetic field

Speaker: Konstantin Dolgikh

16 Muon density

Speaker: Konstantin Dolgikh

17 TALE infill SD

Speaker: Yusuke Kawachi

18 DNN reconstruction of air shower events with TA FD

Speaker: Kanatoshi Nakazawa

10:15 Coffee break

Invited talks: machine learning

19 Data representation and post-neural network analysis

Speaker: Dr Ivan Kharuk

20 Transformers

Speaker: Stefan Froese

Working group introduction

12:35 Lunch (on your own)

Closing remarks

21 Closing remarks and farewell

Speakers: Anatoli Fedynitch (Institute of Physics, Academia Sinica), Hiroyuki Sagawa (ICRR Utokyo)

Hands-on session: Discussion and advanced applications