MétaCan
Menu
Back to cohort
Record W4415055784 · doi:10.1007/jhep10(2025)081

Amplitude analysis of $$ \psi (3686)\to \gamma {K}_S^0{K}_S^0 $$

2025· article· lv· W4415055784 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. 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, X. Y. Chen, Yuanbo Chen, Y. Q. Chen, Y. Q. Chen, Zhuojun Chen, Z. K. Chen, S.-K. Choi, X. Chu, G. Cibinetto, F. Cossio, J. Cottee-Meldrum, 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, S. X. 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, L. Feng, Qichun 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, 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, 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, X. M. 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, M. Lellmann, T. Lenz, Cheng Li, C. Li, C. Li, C. Li, C. K. 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, L. J. Li, Lei Li, M. H. Li, M. R. Li, Peilian Li, P. R. Li, Q. M. Li, Q. X. Li, R. Li, S. X. 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, H. Liang, 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. Y. Liu, K. Y. Liu, K. Liu, L. C. Liu, Lu Liu, M. H. Liu, P. Liu, Qian Liu, Shubin Liu, T. Liu, W. M. Liu, W. T. Liu, Xiang Liu, X. Liu, X. K. Liu, X. Y. Liu, Y. Liu, Yi Liu, Yuan Liu, Zhenan Liu, Z. D. Liu, Zhiqing Liu, X. C. Lou, F. X. Lu, H. J. Lu, J. G. Lu, X. L. 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, Q. A. Malik, H. X. Mao, Y. J. Mao, Z. P. Mao, S. Marcello, A. M. Marshall, F. M. Melendi, 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, C. Normand, S. L. Olsen, Q. Ouyang, S. Pacetti, X. Pan, Y. Pan, A. Pathak, Y. P. Pei, M. Pelizaeus, H. Peng, X. J. Peng, Yiyan Peng, K. Peters, K. Petridis, 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, J. H. Rademacker, C. F. Redmer, Angelo Rivetti, M. Rolo, G. Rong, S. S. Rong, F. Rosini, Ch. Rosner, M. Q. 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, J. J. Tang, L. F. 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, 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, Z. Wang, Y. D. Wang, Y. F. Wang, Yinghao Wang, Y. J. Wang, Y. Wang, Y. N. Wang, Y. Q. Wang, Yaqian Wang, Yi Wang, Yuan Wang, Z. L. 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, 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, 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, Changhua Xu, Chuangjie Xu, G. F. Xu, H. Y. Xu, H. Y. Xu, M. Xu, Qingjun Xu, Q. N. Xu, T. D. Xu, W. Xu, W. L. Xu, X. P. Xu, Y. C. Xu, Z. S. Xu, F. Yan, H. Y. Yan, L. Yan, W. B. Yan, W. C. Yan, W. H. 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, Z. J. Ye, J. H. Yin, Z. You, B. Yu, Chunxu Yu, G. Yu, J. Yu, Long 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, X. Q. 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, 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, XY Zhang, X. Zhang, Y. Zhang, Yu Zhang, Y. T. Zhang, Yinhong Zhang, Y. M. Zhang, Y. P. 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, C. Zhong, H. Zhou, J. Q. Zhou, J. Y. Zhou, S. Zhou, Xiang Zhou, X. Zhou, X. R. Zhou, X. Y. Zhou, Y. Zhou, Y. Z. Zhou, A. N. Zhu, J. Zhu, K. J. Zhu, Kejun Zhu, K. Zhu, L. Zhu, L. Z. Zhu, S. H. Zhu, T. J. 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
Languagelv
FieldPhysics and Astronomy
TopicQuantum Chromodynamics and Particle Interactions
Canadian institutionsInstitute of Particle Physics
FundersInstitute of High Energy PhysicsNational Research Foundation of KoreaAgencia Nacional de Investigación y DesarrolloShanghai Key Laboratory for Particle Physics and CosmologyCAS Center for Excellence in Particle PhysicsDeutsche ForschungsgemeinschaftIstituto Nazionale di Fisica NucleareChinese Academy of SciencesNational Natural Science Foundation of ChinaKnut och Alice Wallenbergs StiftelseNational Research FoundationStrong
KeywordsAmplitudeRadiative transferResonance (particle physics)Dalitz plotBranching fractionElectron–positron annihilation

Abstract

fetched live from OpenAlex

A bstract Using (2712 ± 14) × 10 6 ψ (3686) events collected with the BESIII detector, we perform the first amplitude analysis of the radiative decay $$ \psi (3686)\to \gamma {K}_S^0{K}_S^0 $$ ψ 3686 → γ K S 0 K S 0 within the mass region $$ {M}_{K_S^0{K}_S^0}<2.8 $$ M K S 0 K S 0 < 2.8 GeV/ c 2 . Employing a one-channel K-matrix approach for the description of the dynamics of the $$ {K}_S^0{K}_S^0 $$ K S 0 K S 0 system, the data sample is well described with four poles for the f 0 -wave and three poles for the f 2 -wave. The determined pole positions are consistent with those of well-established resonance states. The observed f 0 and f 2 states are found to be in agreement with those produced in radiative J/ψ decays. The production behaviors of f 0 and f 2 poles in $$ \psi (3686)\to \gamma {K}_S^0{K}_S^0 $$ ψ 3686 → γ K S 0 K S 0 are qualified with their residues and the converted branching fractions. By comparing with $$ J/\psi \to \gamma {K}_S^0{K}_S^0 $$ J / ψ → γ K S 0 K S 0 decay, the ratios $$ \frac{\mathcal{B}\left(\psi (3686)\to \gamma {f}_{0,2}\right)}{\mathcal{B}\left(J/\psi \to \gamma {f}_{0,2}\right)} $$ B ψ 3686 → γ f 0 , 2 B J / ψ → γ f 0 , 2 are determined, which provides crucial experimental inputs on the internal structure of the f 0 , 2

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)0.001
metaresearch head score (Gemma)0.002
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 score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.274
Teacher spread0.264 · 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 PhysicsSame topicQuantum Chromodynamics and Particle InteractionsFrench-language works237,207