Research field (1)：
Particle, nuclear, cosmic-ray, and astrophysics - experiment
Research theme for competitive and other funds (2)：
2021 - 2023 LHC・ATLAS実験データ解析における深層学習の発展
2018 - 2020 新しいトラッキング手法を用いた新粒子探索
Papers (20)：
Masahiko Saito, Masahiro Morinaga, Tomoe Kishimoto, Junichi Tanaka. Signal model parameter scan using Normalizing Flow. 2024
Tomoe Kishimoto, Masahiro Morinaga, Masahiko Saito, Junichi Tanaka. Pre-training strategy using real particle collision data for event classification in collider physics. 2023
Tomoe Kishimoto, Masahiro Morinaga, Masahiko Saito, Junichi Tanaka. Decay-aware neural network for event classification in collider physics. 2022
Tomoe Kishimoto, Masahiro Morinaga, Masahiko Saito, Junichi Tanaka. Application of transfer learning to event classification in collider physics. Proceedings of International Symposium on Grids & Clouds 2022 - PoS(ISGC2022). 2022
Wonho Jang, Koji Terashi, Masahiko Saito, Christian W. Bauer, Benjamin Nachman, Yutaro Iiyama, Ryunosuke Okubo, Ryu Sawada. Initial-State Dependent Optimization of Controlled Gate Operations with Quantum Computer. 2022
