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| Format: | Preprint |
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2022
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| Online-Zugang: | https://arxiv.org/abs/2208.13503 |
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| _version_ | 1866914646369239040 |
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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 |