3 papers
physics.comp-ph2026
Toward AI-Agent-Driven Particle Transport Simulations: Implementation of AI-Assisted Workflows for PHITS
Tatsuhiko Sato, Shintaro Hashimoto, Tatsuhiko Ogawa +5
Monte Carlo particle transport codes are powerful tools, but their use requires substantial knowledge of input preparation, execution, and result analysis. In this study, we presen…
physics.acc-ph2026
Quantitative Evaluation of a Hybrid Target for Ultraslow-Muon Production in TRISTAN
Yasuhito Sakaki, Shusei Kamioka, Mitsuhiro Yoshida
We present the first quantitative evaluation of the hybrid target concept proposed in TRISTAN. The TRISTAN project is a positive-muon collider concept based on the ultraslow-…
hep-ex2026
Search for Sub-GeV Axion-Like Particles at EBES Pilot Run Using 4 GeV Positron Beam at KEK LINAC
Takahiro Fusayasu, Tomoya Iizawa, Fumihito Ikeda +18
We report the results of a search for sub-GeV axion-like particles (ALPs) using pilot run data from the Electron Beam-dump Experiment at KEK LINAC Switching Yard 3 (EBES). The data…