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Hauptverfasser: Liao, Libo, Wang, Shudong, Song, Weimin, Zhang, Zhaoling, Li, Gang
Format: Preprint
Veröffentlicht: 2022
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Online-Zugang:https://arxiv.org/abs/2208.13503
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author Liao, Libo
Wang, Shudong
Song, Weimin
Zhang, Zhaoling
Li, Gang
author_facet Liao, Libo
Wang, Shudong
Song, Weimin
Zhang, Zhaoling
Li, Gang
contents Jet flavor tagging plays a crucial role in the measurement of relative partial decay widths of $Z$ boson, denoted as $R_b$($R_c$), which is considered as a fundamental test of the Standard Model and sensitive probe to new physics. In this study, a Deep Learning algorithm, ParticleNet, is employed to enhance the performance of jet flavor tagging. The combined efficiency and purity of $c$-tagging is improved by more than 50\% compared to the Circular Electron Positron Collider (CEPC) baseline software. In order to measure $R_b$($R_c$) with this new flavor tagging approach, we have adopted the double-tagging method. The precision of $R_b$($R_c$) is improved significantly, in particular to $R_c$, which has seen a reduction in statistical uncertainty by 40\%.
format Preprint
id arxiv_https___arxiv_org_abs_2208_13503
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Performance studies of jet flavor tagging and measurement of $R_b(R_c)$ using ParticleNet at CEPC
Liao, Libo
Wang, Shudong
Song, Weimin
Zhang, Zhaoling
Li, Gang
High Energy Physics - Experiment
Jet flavor tagging plays a crucial role in the measurement of relative partial decay widths of $Z$ boson, denoted as $R_b$($R_c$), which is considered as a fundamental test of the Standard Model and sensitive probe to new physics. In this study, a Deep Learning algorithm, ParticleNet, is employed to enhance the performance of jet flavor tagging. The combined efficiency and purity of $c$-tagging is improved by more than 50\% compared to the Circular Electron Positron Collider (CEPC) baseline software. In order to measure $R_b$($R_c$) with this new flavor tagging approach, we have adopted the double-tagging method. The precision of $R_b$($R_c$) is improved significantly, in particular to $R_c$, which has seen a reduction in statistical uncertainty by 40\%.
title Performance studies of jet flavor tagging and measurement of $R_b(R_c)$ using ParticleNet at CEPC
topic High Energy Physics - Experiment
url https://arxiv.org/abs/2208.13503