Hadronic Decay Branching Ratio Measurements of the Higgs Boson at Future Colliders Using the Holistic Approach

Jianfeng Jiang; Yongfeng Zhu; Chao Yang; Manqi Ruan

doi:10.53941/hihep.2026.100005

Abstract

Accurately measuring the properties of the Higgs boson is one of the primary physics objectives of the high-energy frontier. By incorporating the inclusive information of all reconstructed particles to identify the signal events, referred to as the holistic approach, we estimate the relative statistical uncertainty for the Higgs hadronic decay modes \(H \to b\bar{b}, c\bar{c}, gg, WW^* \to 4q\), and \(ZZ^* \to 4q\) at the Circular Electron–Positron Collider (CEPC) operating as a Higgs factory with an integrated luminosity of 21.6 ab⁻¹. In the Z(μ⁺μ⁻)H and \(Z(\nu\bar{\nu})H\) channels, the relative statistical uncertainties for these decay modes are projected to range from 0.36% to 5.21% and 0.16% to 2.52%, respectively. Compared to the CEPC Snowmass results, the holistic approach boosts the measurement precision by a factor of two to four. The scaling behavior, specifically the dependence of the anticipated accuracy on the training dataset size, is observed and analyzed. The precision of these leading Higgs decay modes, especially the \(H \to b\bar{b}\) mode, is asymptotically approaching the statistical limit. The scaling behavior could also be applied to monitor the robustness and to quantify the uncertainties of the holistic approach.

References

1.
Aad, G.; Abajyan, T.; Abbott, B.; et al. Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC. Phys. Lett. B 2012, 716, 1–29.
2.
Chatrchyan, S.; Khachatryan, V.; Sirunyan, A.M.; et al. Observation of a New Boson at a Mass of 125 GeV with the CMS Experiment at the LHC. Phys. Lett. B 2012, 716, 30–61.
3.
The European Strategy Group. Deliberation Document on the 2020 Update of the European Strategy for Particle Physics; Technical Report; CERN: Geneva, Switzerland, 2020.
4.
de Blas, J.; Dunford, M.; Bagnaschi, E.; et al. Physics Briefing Book: Input for the 2026 update of the European Strategy for Particle Physics. arXiv 2025, arXiv:2511.03883.
5.
The CEPC Study Group. CEPC Conceptual Design Report: Volume 1—Accelerator. arXiv 2018, arXiv:1809.00285.
6.
The CEPC Study Group. CEPC Conceptual Design Report: Volume 2—Physics & Detector. arXiv 2018, arXiv:1811.10545.
7.
The CEPC Study Group. CEPC Technical Design Report: Accelerator. Radiat. Detect. Technol. Methods 2024, 8, 1–1105.
8.
The CEPC Study Group. CEPC Technical Design Report—Reference Detector. arXiv 2025, arXiv:2510.05260.
9.
Agapov, I.; Benedikt, M.; Blondel, A.; et al. Future Circular Lepton Collider FCC-ee: Overview and Status. arXiv 2022, arXiv:2203.08310.
10.
Baer, H.; Barklow, T.; Fujii, K.; et al. The International Linear Collider Technical Design Report—Volume 2: Physics. arXiv 2013, arXiv:1306.6352.
11.
Linssen, L.; Miyamoto, A.; Stanitzki, M.; et al. Physics and Detectors at CLIC: CLIC Conceptual Design Report. arXiv 2012, arXiv:1202.5940.
12.
Anastopoulos, C.; Assmann, R.; Ball, A.; et al. LEP3: A High-Luminosity e+e− Higgs and ElectroweakFactory in the LHC Tunnel. arXiv 2025, arXiv:2504.00541.
13.
Del Vecchio, A.; Eysermans, J.; Gouskos, L.; et al. Precision Measurements of Higgs Hadronic Decay Modes at the FCC-ee. arXiv 2025, arXiv:2511.23149.
14.
Liang, H.; Zhu, Y.; Wang, Y.; et al. Jet-Origin Identification and Its Application at an Electron-Positron Higgs Factory. Phys. Rev. Lett. 2024, 132, 221802.
15.
Wang, Y.; Liang, H.; Zhu, Y.; et al. One-to-one correspondence reconstruction at the electron-positron Higgs factory. Comput. Phys. Commun. 2025, 314, 109661.
16.
Zhu, Y.; Liang, H.; Wang, Y.; et al. Holistic approach and Advanced Color Singlet Identification for physics measurements at high energy frontier. arXiv 2025, arXiv:2506.11783.
17.
Zhu, Y.; Cui, H.; Ruan, M. The Higgs→bb,cc, gg measurement at CEPC. JHEP 2022, 11, 100.
18.
Alwall, J.; Frederix, R.; Frixione, S.; et al. The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations. JHEP 2014, 2014, 79.
19.
Frixione, S.; Mattelaer, O.; Zaro, M.; et al. Lepton collisions in MadGraph5 aMC@NLO. arXiv 2021, arXiv:2108.10261.
20.
Bierlich, C.; Chakraborty, S.; Desai, N.; et al. A comprehensive guide to the physics and usage of PYTHIA 8.3. SciPost Phys. Codeb. 2022, 2022, 8.
21.
de Favereau, J.; Delaere, C.; Demin, P.; et al. DELPHES 3, A modular framework for fast simulation of a generic collider experiment. JHEP 2014, 2014, 57.
22.
Qu, H.; Gouskos, L. ParticleNet: Jet Tagging via Particle Clouds. Phys. Rev. D 2020, 101, 056019.
23.
Ma, X.; Wu, Z.; Wu, J.; et al. Measurements of decay branching fractions of the Higgs boson to hadronic final states at the CEPC. Chin. Phys. C 2025, 49, 053001.
24.
Cheng, H.; Chiu, W.H.; Fang, Y.; et al. The Physics potential of the CEPC. Prepared for the US Snowmass Community Planning Exercise (Snowmass 2021). arXiv 2022, arXiv:2205.08553.
25.
Yu, D.; Ruan, M.; Boudry, V.; et al. The measurement of the H → τ τ signal strength in the future e+e− Higgs factories. Eur. Phys. J. C 2020, 80, 7.
26.
Kaplan, J.; McCandlish, S.; Henighan, T.; et al. Scaling laws for neural language models. arXiv 2020, arXiv:2001.08361.
27.
Hoffmann, J.; Borgeaud, S.; Mensch, A.; et al. Training compute-optimal large language models. arXiv 2022, arXiv:2203.15556.
28.
Bewick, G.; Ravasio, S.F.; Gieseke, S.; et al. Herwig 7.3 release note. Eur. Phys. J. C 2024, 84, 1053.
29.
Webber, B.R. A QCD Model for Jet Fragmentation Including Soft Gluon Interference. Nucl. Phys. B 1984, 238, 492–528.
30.
Sjostrand, T. The Lund Monte Carlo for Jet Fragmentation. Comput. Phys. Commun. 1982, 27, 243.
31.
Andersson, B. The Lund Model; Cambridge University Press: Cambridge, UK, 1998; Volume 7.

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