MétaCan
Menu
← Back to cohort
Record W4415119988 · doi:10.1007/jhep10(2025)090

Observation of $$ {\chi}_{cJ}\left(J=0,1,2\right)\to p\overline{p}\eta \eta $$

2025· article· en· W4415119988 on OpenAlexaff
M. Ablikim, М. Н. Ачасов, P. Adlarson, X. Ai, R. Aliberti, A. Amoroso, Q. An, Y. Bai, O. Bakina, Y. Ban, H. Bao, V. Batozskaya, K. Begzsuren, N. Berger, M. Berlowski, M. Bertani, D. Bettoni, F. Bianchi, E. Bianco, A. Bortone, I. Boyko, R. A. Briere, A. Brueggemann, Hao Cai, M. H. Cai, X. Cai, A. Calcaterra, G. F. Cao, N. Cao, S. A. Çetin, X. Chai, J. F. Chang, G. R., Yuzhi Che, G. Chelkov, C. Chen, C. H. Chen, G. Chen, H. S. Chen, H. Y. Chen, M. L. Chen, S. J. Chen, S. L. Chen, Shaomin Chen, T. Chen, Xurong Chen, X. T. Chen, Yuanbo Chen, Y. Q. Chen, Zhuojun Chen, Z. K. Chen, S.-K. Choi, X. Chu, G. Cibinetto, F. Cossio, J. J. Cui, H. L. Dai, J. P. Dai, A. Dbeyssi, R. E. de Boer, D. Dedovich, C. Q. Deng, Z. Y. Deng, A. G. Denig, I. Denisenko, M. Destefanis, F. De Mori, B. Ding, X. X. Ding, Y. Ding, Y. X. Ding, J. Dong, L. Y. Dong, M. Y. Dong, X. Dong, M. C. Du, Yunyou Duan, Z. H. Duan, P. Egorov, Y. H. Fan, J. Fang, J. Fang, S. S. Fang, Wenxing Fang, Y. Q. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, J. H. Feng, Y. T. Feng, M. Fritsch, C. D. Fu, J. Fu, Y. W. Fu, H. Gao, X. B. Gao, Y. Gao, Y. Y. Gao, S. Garbolino, I. Garzia, P. T. Ge, Z. W. Ge, C. Geng, E. Gersabeck, A. Gilman, K. Götzen, J. D. Gong, Lu Gong, W. X. Gong, W. Gradl, S. Gramigna, M. Greco, M. H. Gu, Y. T. Gu, C. Y. Guan, A. Q. Guo, L. B. Guo, Ming Guo, R. P. Guo, Y. P. Guo, A. Guskov, J. Gutierrez, K. Han, T. T. Han, F. Hanisch, Kai Hao, X. Q. Hao, F. A. Harris, K. K. He, K. L. He, F. H. Heinsius, C. H. Heinz, Y. K. Heng, C. Herold, T. Holtmann, P. C. Hong, G. Y. Hou, X. T. Hou, Y. R. Hou, Z. L. Hou, B. Y. Hu, H. Hu, J. F. Hu, Q. Hu, S. L. Hu, T. Hu, Y. Hu, Z. M. Hu, G. S. Huang, K. X. Huang, L. Q. Huang, P. Huang, X. T. Huang, Yanping Huang, Y. S. Huang, T. Hussain, N. Huesken, N. in der Wiesche, J. Jackson, S. Janchiv, Quan Ji, Q. P. Ji, W. Ji, X. B. Ji, X. L. Ji, Y. Y. Ji, Z. Jiao, Danli Jiang, H. B. Jiang, P. C. Jiang, S. J. Jiang, T. J. Jiang, X. S. Jiang, Y. Jiang, J. B. Jiao, J. K. Jiao, Z. Jiao, S. Jin, Y. Jin, M. Q. Jing, T. Johansson, S. Kabana, N. Kalantar-Nayestanaki, X. L. Kang, X. S. Kang, M. Kavatsyuk, B. C. Ke, V. Khachatryan, A. Khoukaz, R. Kiuchi, O. B. Kolcu, B. Kopf, M. Kuessner, X. Kui, Navneet Kumar, A. Kupść, W. Kühn, Qing Lan, W. N. Lan, T. T. Lei, Z. H. Lei, M. Lellmann, T. Lenz, C. Li, C. Li, C. Li, C. K. Li, Cheng Li, D. M. Li, Li Fei, Gang Li, Hai-Bo Li, H. J. Li, H. Li, Hui Li, J. R. Li, Jingshu Li, K. Li, K. L. Li, K. L. Li, L. J. Li, Lei Li, M. H. Li, M. R. Li, Peilian Li, P. R. Li, Q. M. Li, Q. X. Li, R. Li, Teng Li, T. Y. Li, W. D. Li, Weiguo Li, X. Li, X. H. Li, X. L. Li, X. Y. Li, X. Z. Li, Y. Li, Y. G. Li, Y. P. Li, Z. J. Li, Z. Y. Li, C. Liang, Liang Hong-wei, Y. F. Liang, Y. F. Liang, G. R. Liao, L. B. Liao, M. H. Liao, Y. P. Liao, J. Libby, A. Limphirat, C. C. Lin, C. X. Lin, D. X. Lin, L. Q. Lin, T. Lin, B. Liu, B. X. Liu, C. Liu, C. X. Liu, Fang Liu, F. H. Liu, Feng Liu, G. Liu, Hao Liu, H. Liu, H. Liu, H. M. Liu, Huihui Liu, Jianbei Liu, J. J. Liu, K. Liu, K. Liu, K. Y. Liu, K. Liu, L. C. Liu, Lu Liu, P. Liu, Qian Liu, Shubin Liu, T. Liu, W. K. Liu, W. M. Liu, W. T. Liu, Xiang Liu, X. Liu, Y. Liu, Yi Liu, Yuan Liu, Y. B. Liu, Zhenan Liu, Z. D. Liu, Zhiqing Liu, X. C. Lou, F. X. Lu, H. J. Lu, J. G. Lu, Y. Lu, Yuehui Lu, Y. Lu, Z. H. Lu, C. L. Luo, J. R. Luo, J. S. Luo, M. X. Luo, T. Luo, X. L. Luo, Zheng Lv, X. R. Lyu, Y. F. Lyu, Y. H. Lyu, F. C., H. Ma, H. L., J. L., L.L. Ma, L. R., R. Q., T. Ma, X. T., X. Y. Ma, Y. Ma, F. E. Maas, I. Mackay, M. Maggiora, S. Malde, Y. J. Mao, Z. P. Mao, S. Marcello, Y. H. Meng, Z. X. Meng, J. G. Messchendorp, G. Mezzadri, H. Miao, T. J. Min, R. E. Mitchell, X. H. Mo, B. Moses, N. Yu. Muchnoi, J. Muskalla, Y. Nefedov, F. Nerling, L. S. Nie, I. B. Nikolaev, Zhe Ning, S. Nisar, Q. L. Niu, W. D. Niu, S. L. Olsen, Q. Ouyang, S. Pacetti, X. Pan, Y. Pan, A. Pathak, Y. P. Pei, M. Pelizaeus, H. Peng, Yiyan Peng, K. Peters, Jialun Ping, R. G. Ping, V. Prasad, F. Z. Qi, H. R. Qi, Ming Qi, S. Qian, W. B. Qian, Cong‐Feng Qiao, J. H. Qiao, J. J. Qin, J. L. Qin, L. Q. Qin, Lu Qin, P. B. Qin, X. P. Qin, Xiaoshuai Qin, Zhonghua Qin, J. F. Qiu, Z. H. Qu, C. F. Redmer, Angelo Rivetti, M. Rolo, G. Rong, S. S. Rong, Ch. Rosner, M. Q. Ruan, S. N. Ruan, N. Salone, A. Sarantsev, Y. Schelhaas, K. Schoenning, M. Scodeggio, K. Y. Shan, W. Shan, X. Y. Shan, Z. J. Shang, J. F. Shangguan, L. G. Shao, M. Shao, C. P. Shen, H. F. Shen, X. Y. Shen, B. A. Shi, H. Shi, J. L. Shi, Jingyan Shi, S. Y. Shi, X. Shi, Haifeng Song, J. J. Song, T. Z. Song, Y. X. Song, S. Sosio, S. Spataro, F. Stieler, S. Su, Y. J. Su, G. B. Sun, G. X. Sun, Hao-Kai Sun, J. F. Sun, K. Sun, L. Sun, S. S. Sun, T. Sun, Yu-Chang Sun, Y. H. Sun, Y. Sun, Y. Z. Sun, Z. Q. Sun, Z. T. Sun, C. J. Tang, G. Y. Tang, J. Tang, L. F. Tang, Ming Tang, Yong Tang, L. Y. Tao, M. Tat, J. X. Teng, J. Y. Tian, W. H. Tian, Y. Tian, Z. F. Tian, I. Uman, B. Wang, B. Wang, Bo Wang, C. Wang, Cong Wang, D. Wang, A. Washbrook, J. Wang, K. Wang, Liangliang Wang, L. W. Wang, Meng Wang, M. Wang, N. W. Wang, S. Wang, Ting Wang, T. J. Wang, Wei Wang, Wei Wang, W. P. Wang, X. Wang, X. F. Wang, X. J. Wang, X. L. Wang, X. N. Wang, Yaqian Wang, Y. D. Wang, Y. F. Wang, Yinghao Wang, Y. Wang, Y. N. Wang, Y. Q. Wang, Yi Wang, Yuan Wang, Z. Wang, Z. L. Wang, Z. Q. Wang, Z. Y. Wang, D. H. Wei, H. R. Wei, F. Weidner, S. P. Wen, Y. R. Wen, U. Wiedner, G. Wilkinson, M. Wolke, Chunhua Wu, J. F. Wu, L. H. Wu, L. J. Wu, Lianjie Wu, S. Wu, S. M. Wu, X. Wu, X. H. Wu, Y. J. Wu, L. Xia, X. M. Xian, B. H. Xiang, Teng Xiang, D. Xiao, G. Y. Xiao, H. Xiao, Y. L. Xiao, Zhen-Jun Xiao, C. Xie, K. J. Xie, X. H. Xie, Y. G. Xie, Y. G. Xie, Y. Xie, Z. P. Xie, Tianyu Xing, C. F. Xu, Chuangjie Xu, G. F. Xu, H. Y. Xu, H. Y. Xu, M. Xu, Qingjun Xu, Q. N. Xu, W. L. Xu, X. P. Xu, Y. C. Xu, Z. S. Xu, H. Y. Yan, L. Yan, W. B. Yan, W. C. Yan, W. P. Yan, X. Q. Yan, H. J. Yang, H. L. Yang, H. X. Yang, J. H. Yang, Tao Yang, Y. F. Yang, Y. Yang, Y. Q. Yang, Y. X. Yang, Y. Z. Yang, M. Ye, M. H. Ye, J. H. Yin, Z. You, B. Yu, Chunxu Yu, G. Yu, J. Yu, M. C. Yu, Tao Yu, Xudong Yu, Y. C. Yu, C. Z. Yuan, H. Yuan, J. Yuan, J. Yuan, L. Yuan, S. C. Yuan, Y. Yuan, Z. Y. Yuan, C. X. Yue, Ying Yue, A. A. Zafar, S. H. Zeng, X. Zeng, Y. Zeng, Yujie Zeng, Y. J. Zeng, X. Y. Zhai, Y. H. Zhan, A. Q. Zhang, B. L. Zhang, B. X. Zhang, D. H. Zhang, G. Y. Zhang, G. Zhang, H. Zhang, H. Zhang, Hangchang Zhang, H. H. Zhang, Huaqiao Zhang, H. R. Zhang, Hongyu Zhang, Jin Zhang, Jin Zhang, J. J. Zhang, Jielei Zhang, Jingqing Zhang, J. S. Zhang, Jiawen Zhang, J. X. Zhang, J. Y. Zhang, J. Z. Zhang, Jianyu Zhang, L. Zhang, Lei Zhang, N. Zhang, P. Zhang, Q. Zhang, Q. Y. Zhang, R. Y. Zhang, Shuihan Zhang, Shulei Zhang, X. M. Zhang, X. Y Zhang, X. Zhang, Y. Zhang, Yu Zhang, Y. T. Zhang, Yinhong Zhang, Y. M. Zhang, Zhengde Zhang, Z. H. Zhang, Z. L. Zhang, Z. L. Zhang, Z. X. Zhang, Zhenyu Zhang, Z. Y. Zhang, Z. Z. Zhang, Zh. Zh. Zhang, Guang Zhao, J. Y. Zhao, J. Zhao, Ling Zhao, Lei Zhao, M. G. Zhao, N. Zhao, R. P. Zhao, Shujun Zhao, Yubin Zhao, Y. L. Zhao, Y. X. Zhao, Z. Zhao, A. Zhemchugov, B. Zheng, B. M. Zheng, J. P. Zheng, W. J. Zheng, Y. Zheng, B. Zhong, X. Zhong, H. Zhou, J. Q. Zhou, J. Y. Zhou, S. Zhou, Xiang Zhou, X. Zhou, X. R. Zhou, X. Y. Zhou, Y. Z. Zhou, Z. C. Zhou, A. N. Zhu, J. Zhu, K. J. Zhu, Kejun Zhu, K. Zhu, L. Zhu, L. Z. Zhu, S. H. Zhu, T. J. Zhu, Weidong Zhu, W. D. Zhu, W. J. Zhu, W. Z. Zhu, Y. C. Zhu, Zian Zhu, X. Zhuang, J. H. Zou, J. Zu

Bibliographic record

VenueJournal of High Energy Physics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsInstitute of Particle Physics
FundersInstitute of High Energy PhysicsAgencia Nacional de Investigación y DesarrolloGuangxi UniversityState Key Laboratory of Particle Detection and ElectronicsJoint Institute for Nuclear ResearchGuangxi Normal UniversitySouth China Normal UniversitySoutheast UniversityNational Research FoundationPeking UniversityNankai UniversityUniversità degli Studi di PerugiaShanghai Jiao Tong UniversityHenan UniversityShanxi UniversityLiaoning UniversityJilin UniversityInner Mongolia UniversityNational Natural Science Foundation of ChinaNational Research Foundation of KoreaQufu Normal UniversityFudan UniversityHebei UniversityUniversidad de TarapacáHenan University of Science and TechnologyStrongUniversità degli Studi di FerraraShanghai Key Laboratory for Particle Physics and CosmologyKnut och Alice Wallenbergs StiftelseHenan University of TechnologyHunan Normal UniversityIstituto Nazionale di Fisica NucleareSoochow UniversityVetenskapsrådetShandong UniversityU.S. Department of EnergyLanzhou UniversitySwedish Foundation for International Cooperation in Research and Higher EducationChinese Academy of SciencesDeutsche ForschungsgemeinschaftRenmin University of ChinaCAS Center for Excellence in Particle PhysicsHangzhou Normal UniversityShanxi Normal UniversityHenan Normal UniversitySichuan UniversityHunan UniversityNanjing Normal UniversityNanjing UniversityIndian Institute of Technology Madras
KeywordsBranching fractionDetectorBranching (polymer chemistry)Statistical analysisRadiative transferElectron–positron annihilation

Abstract

fetched live from OpenAlex

A bstract Using (2712 . 4 ± 14 . 3) × 10 6 ψ (3686) candidates collected by the BESIII detector operating at the BEPCII storage ring, the decays $$ {\chi}_{cJ}\left(J=0,1,2\right)\to p\overline{p}\eta \eta $$ χ cJ J = 0 1 2 → p p ¯ ηη are observed for the first time through the radiative transition ψ (3686) → γχ cJ . The statistical significances for χ cJ signals are all larger than 5 σ . The branching fractions of $$ {\chi}_{c0,1,2}\to p\overline{p}\eta \eta $$ χ c 0 , 1 , 2 → p p ¯ ηη are determined to be (5 . 75 ± 0 . 59 ± 0 . 42) × 10 − 5 , (1 . 40 ± 0 . 33 ± 0 . 17) × 10 − 5 , and (2 . 64 ± 0 . 40 ± 0 . 27) × 10 − 5 , respectively, where the first uncertainties are statistical and the second systematic. No evident resonant structures are found in the $$ p\overline{p} $$ p p ¯ and $$ p\eta /\overline{p}\eta $$ pη / p ¯ η systems.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0200.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.251
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of High Energy Physics→Same topicParticle physics theoretical and experimental studies→French-language works237,207→