ParticleNet and its application on CEPC Jet Flavor Tagging

• DOI: 10.48550/arxiv.2309.13231
• Publication Date: 2023-01-01
• Authors: Yongfeng Zhu; H. Liang; Yuexin Wang; H. Qu; C. Zhou; Manqi Ruan
• Keywords: Benchmark (surveying); Bar (unit)

Identification of quark flavor is essential for collider experiments in high-energy physics, relying on the tagging algorithm. In this study, using a full simulation Circular Electron Positron Collider (CEPC), we investigated performance two different algorithms: ParticleNet, originally developed at CMS, and LCFIPlus, current algorithm employed CEPC. Compared to ParticleNet significantly enhances performance, resulting significant improvement benchmark measurement accuracy, i.e., 36% $\nu\bar{\nu}H\to c\bar{c}$ 75% $|V_{cb}|$ via W boson decay when CEPC operates as Higgs factory center-of-mass energy 240 GeV integrated luminosity 5.6 $ab^{-1}$. We compared LCFIPlus vertex detector configurations, observing that inner radius most sensitive parameter, followed by material budget spatial resolution.