3 papers
physics.data-an2026
Jet flavor tagging with Particle Transformer for Higgs factories
Taikan Suehara, Takahiro Kawahara, Tomohiko Tanabe +1
We study the performance of the Particle Transformer (ParT) for jet flavor tagging using ILD full simulation events (1M jets) as well as fast simulation samples (10M and 1M jets).…
hep-ex2024
Application of Particle Transformer to quark flavor tagging in the ILC project
Risako Tagami, Taikan Suehara, Masaya Ishino
International Linear Collider (ILC) is a next-generation linear collider to explore Beyond-Standard-Models by precise measurements of Higgs bosons. Jet flavor tagging play…
physics.data-an2024
High Level Reconstruction with Deep Learning using ILD Full Simulation
Taikan Suehara, Risako Tagami, Lai Gui +4
Deep learning can give a significant impact on physics performance of electron-positron Higgs factories such as ILC and FCCee. We are working on two topics on event reconstruction…