IEEE 2021 NSS MIC

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Application of the machine learning to the collider experiments

Session chair: Iwasaki , Masako (Osaka City University, Department of Physics, Osaka, Japan)
 
Shortcut: SC-02
Date: Sunday, 17 October, 2021, 8:00 AM - 10:00 AM
Room: SC-01
Session type: Short Course

This course introduces the various applications of the modern machine learning (ML) technique to the collider experiments. ML has been used in many collider experiments for 20-30 years, mainly for the classification in the data analysis (signal vs noise, flavor-tag, etc.) Recently ML technology has dramatically improved, and various modern ML techniques provide more precise and effective data processing in the collider experiments. In this course, ML application for data analyses in the collider experiments will be mentioned after brief introduction of ML. Some examples will be also provided.

  • Brief introduction of the ML,
  • ML application to the collider experiments
  • Several introductory examples to start ML (Keras+TensorFlow).

Contents

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8:00 AM SC-02-01

Lecture by Masako Iwasaki (#1583)

M. Iwasaki1

1 Osaka City University, Department of Physics, Osaka, Japan

Abstract

- Brief introduction of the ML, - ML application to the collider experiments - Several introductory examples to start ML (Keras+TensorFlow). Biographie Associate Professor, Osaka-City University, Osaka, Japan Masako Iwasaki is an associate professor in the Department of Physics, Osaka City University, Japan. She is also a researcher in NITEP, Osaka City Univ., a specially appointed associate professor in RCNP, and IDS, Osaka Univ. She took her master’s and Ph.D. degrees in physics from Nara Women’s University in 1993 and 1996, respectively. She has been involved in many high energy experiments of SLD, BaBar and ILC in US (SLAC), T2K, Belle, and Bele II in Japan. She also worked on SuperKEKB accelerator. Since 2018, she has been leading a group consists of experimental and theoretical physicists and information scientists, for ML application to the collider experiments, as a RCNP project, in RCNP, Osaka Univ.


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