A Survey of Machine Learning-Based Physics Event Generation

Alanazi, Yasir; Sato, Nobuo; Ambrozewicz, Pawel; Hiller-Blin, Astrid; Melnitchouk, Wally; Battaglieri, Marco; Liu, Tianbo; Li, Yaohang

doi:10.24963/ijcai.2021/588

A Survey of Machine Learning-Based Physics Event Generation

Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid Hiller-Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, Yaohang Li

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Survey Track. Pages 4286-4293.

https://doi.org/10.24963/ijcai.2021/588

Keywords

Machine learning: General
Multidisciplinary topics and applications: General

Abstract

Event generators in high-energy nuclear and particle physics play an important role in facilitating studies of particle reactions. We survey the state of the art of machine learning (ML) efforts at building physics event generators. We review ML generative models used in ML-based event generators and their specific challenges, and discuss various approaches of incorporating physics into the ML model designs to overcome these challenges. Finally, we explore some open questions related to super-resolution, fidelity, and extrapolation for physics event generation based on ML technology.

Yasir Alanazi, Nobuo Sato, Pawel Ambrozewicz, Astrid Hiller-Blin, Wally Melnitchouk, Marco Battaglieri, Tianbo Liu, and Yaohang Li. 2021. A Survey of Machine Learning-Based Physics Event Generation. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4286–4293. https://doi.org/10.24963/ijcai.2021/588

@inproceedings{ijcai2021p588,
  title     = {A Survey of Machine Learning-Based Physics Event Generation},
  author    = {Alanazi, Yasir and Sato, Nobuo and Ambrozewicz, Pawel and Hiller-Blin, Astrid and Melnitchouk, Wally and Battaglieri, Marco and Liu, Tianbo and Li, Yaohang},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Prof. Zhi-Hua Zhou},
  pages     = {4286--4293},
  year      = {2021},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2021/588},
  url       = {https://doi.org/10.24963/ijcai.2021/588},
}

TY  - CPAPER
TI  - A Survey of Machine Learning-Based Physics Event Generation
AU  - Alanazi, Yasir
AU  - Sato, Nobuo
AU  - Ambrozewicz, Pawel
AU  - Hiller-Blin, Astrid
AU  - Melnitchouk, Wally
AU  - Battaglieri, Marco
AU  - Liu, Tianbo
AU  - Li, Yaohang
T2  - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2021
SP  - 4286
EP  - 4293
DO  - 10.24963/ijcai.2021/588
UR  - https://doi.org/10.24963/ijcai.2021/588
ER  -