CERN Accelerating science

CERN Document Server 4 record trovati  La ricerca ha impiegato 0.59 secondi. 
1.
One-to-one correspondence reconstruction at the electron-positron Higgs factory / Wang, Yuexin (Beijing, Inst. High Energy Phys.) ; Liang, Hao (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS ; Vanderbilt U.) ; Zhu, Yongfeng (Peking U., SKLNPT) ; Che, Yuzhi (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS) ; Xia, Xin (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS) ; Qu, Huilin (CERN) ; Zhou, Chen (Peking U., SKLNPT) ; Zhuang, Xuai (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS) ; Ruan, Manqi (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS)
We propose one-to-one correspondence reconstruction for electron-positron Higgs factories. [...]
arXiv:2411.06939.
- 18.
Fulltext
2.
CEPC Technical Design Report: Accelerator / CEPC Study Group Collaboration
The Circular Electron Positron Collider (CEPC) is a large scientific project initiated and hosted by China, fostered through extensive collaboration with international partners. The complex comprises four accelerators: a 30 GeV Linac, a 1.1 GeV Damping Ring, a Booster capable of achieving energies up to 180 GeV, and a Collider operating at varying energy modes (Z, W, H, and ttbar). [...]
arXiv:2312.14363; IHEP-CEPC-DR-2023-01; IHEP-AC-2023-01.- 2024-06-03 - 1106 p. - Published in : Radiat. Detect. Technol. Methods 8 (2024) 1-1105 Fulltext: 2312.14363 - PDF; Publication - PDF;
3.
ParticleNet and its application on CEPC Jet Flavor Tagging / Zhu, Yongfeng (Peking U., SKLNPT) ; Liang, Hao (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS) ; Wang, Yuexin (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS) ; Qu, Huilin (CERN) ; Zhou, Chen (Peking U., SKLNPT) ; Ruan, Manqi (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS)
Identification of quark flavor is essential for collider experiments in high-energy physics, relying on the flavor tagging algorithm. In this study, using a full simulation of the Circular Electron Positron Collider (CEPC), we investigated the flavor tagging performance of two different algorithms: ParticleNet, originally developed at CMS, and LCFIPlus, the current flavor tagging algorithm employed at CEPC. [...]
arXiv:2309.13231.- 2024-02-14 - 10 p. - Published in : Eur. Phys. J. C 84 (2024) 152 Fulltext: 2309.13231 - PDF; document - PDF;
4.
Jet-Origin Identification and Its Application at an Electron-Positron Higgs Factory / Liang, Hao (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS) ; Zhu, Yongfeng (Peking U., SKLNPT) ; Wang, Yuexin (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS ; CCAST World Lab, Beijing) ; Che, Yuzhi (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS) ; Zhou, Chen (Peking U., SKLNPT) ; Qu, Huilin (CERN) ; Ruan, Manqi (Beijing, Inst. High Energy Phys. ; Beijing, GUCAS)
To enhance the scientific discovery power of high-energy collider experiments, we propose and realize the concept of jet origin identification that categorizes jets into 5 quark species $(b,c,s,u,d)$, 5 anti-quarks $(\bar{b},\bar{c},\bar{s},\bar{u},\bar{d})$, and the gluon. Using state-of-the-art algorithms and simulated $\nu\bar{\nu}H, H\rightarrow jj$ events at 240 GeV center-of-mass energy at the electron-positron Higgs factory, the jet origin identification simultaneously reaches jet flavor tagging efficiencies ranging from 67% to 92% for bottom, charm, and strange quarks, and jet charge flip rates of 7% to 24% for all quark species. [...]
arXiv:2310.03440.- 2024-05-31 - 8 p. - Published in : Phys. Rev. Lett. 132 (2024) 221802 Fulltext: 2310.03440 - PDF; Publication - PDF;

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