Please visit Jefferson Lab Event Policies and Guidance before planning your next event: https://www.jlab.org/conference_planning.

May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

High level reconstruction for e+e- Higgs factories with Machine Learning

Not scheduled
1h
Hampton Roads Ballroom and Foyer Area (Norfolk Waterside Marriott)

Hampton Roads Ballroom and Foyer Area

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Poster Poster Poster Session

Speaker

Suehara, Taikan (Kyushu University)

Description

There exist emerging interests for e+e- Higgs factories in the context of FCCee feasibility study in Europe, ILC in Japan, and new proposals (C3, HELEN) at US. As an original developer of a widely-used software package of jet analysis including flavor tagging for e+e- linear collider studies, LCFIPlus (published at NIMA and arXiv:1506.08371), we are now developing DNN-based flavor tagging following original strategy of LCFIPlus. Based on the published results (arXiv:2101.11906, just accepted at NIMA), we present a trial to perform vertex reconstruction with RNN-based approach as well as more recent development for flavor tagging using GNN-based algorithm, accompanied with performance comparison with LCFIPlus. We are also working on DNN implementation of particle flow algorithm based on GravNet-based algorithm developed for CMS HGCal reconstruction, which will also be presented.

Consider for long presentation No

Primary authors

Suehara, Taikan (Kyushu University) Mr Goto, Kiichi (Kyushu University) Mr Onoe, Tomoki (Kyushu University) Mr Tsumura, Shusaku (Kyushu University) Dr Nakashima, Yuta (Osaka University) Dr Takemura, Noriko (Kyushu Institute of Technology) Dr Nagahara, Hajime (Osaka University)

Presentation materials