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arXiv:2210.09601v2 [hep-ex] 27 Dec 2022

Observation of the 𝑱/𝝍J/\psi and 𝝍⁑(πŸ‘πŸ”πŸ–πŸ”)\psi(3686) decays into 𝜼𝚺+πšΊΒ―βˆ’\eta\Sigma^{+}\overline{\Sigma}{}^{-}

M. Ablikim1, M. N. Achasov12,b, P. Adlarson72, M. Albrecht4, R. Aliberti33, A. Amoroso71A,71C, M. R. An37, Q. An68,55, Y. Bai54, O. Bakina34, R. Baldini Ferroli27A, I. Balossino28A, Y. Ban44,g, V. Batozskaya1,42, D. Becker33, K. Begzsuren30, N. Berger33, M. Bertani27A, D. Bettoni28A, F. Bianchi71A,71C, E. Bianco71A,71C, J. Bloms65, A. Bortone71A,71C, I. Boyko34, R. A. Briere5, A. Brueggemann65, H. Cai73, X. Cai1,55, A. Calcaterra27A, G. F. Cao1,60, N. Cao1,60, S. A. Cetin59A, J. F. Chang1,55, W. L. Chang1,60, G. R. Che41, G. Chelkov34,a, C. Chen41, Chao Chen52, G. Chen1, H. S. Chen1,60, M. L. Chen1,55,60, S. J. Chen40, S. M. Chen58, T. Chen1,60, X. R. Chen29,60, X. T. Chen1,60, Y. B. Chen1,55, Z. J. Chen24,h, W. S. Cheng71C, S. K. Choi 52, X. Chu41, G. Cibinetto28A, F. Cossio71C, J. J. Cui47, H. L. Dai1,55, J. P. Dai76, A. Dbeyssi18, R. E. de Boer4, D. Dedovich34, Z. Y. Deng1, A. Denig33, I. Denysenko34, M. Destefanis71A,71C, F. De Mori71A,71C, Y. Ding38, Y. Ding32, J. Dong1,55, L. Y. Dong1,60, M. Y. Dong1,55,60, X. Dong73, S. X. Du78, Z. H. Duan40, P. Egorov34,a, Y. L. Fan73, J. Fang1,55, S. S. Fang1,60, W. X. Fang1, Y. Fang1, R. Farinelli28A, L. Fava71B,71C, F. Feldbauer4, G. Felici27A, C. Q. Feng68,55, J. H. Feng56, K Fischer66, M. Fritsch4, C. Fritzsch65, C. D. Fu1, H. Gao60, Y. N. Gao44,g, Yang Gao68,55, S. Garbolino71C, I. Garzia28A,28B, P. T. Ge73, Z. W. Ge40, C. Geng56, E. M. Gersabeck64, A Gilman66, K. Goetzen13, L. Gong38, W. X. Gong1,55, W. Gradl33, M. Greco71A,71C, L. M. Gu40, M. H. Gu1,55, Y. T. Gu15, C. Y Guan1,60, A. Q. Guo29,60, L. B. Guo39, R. P. Guo46, Y. P. Guo11,f, A. Guskov34,a, W. Y. Han37, X. Q. Hao19, F. A. Harris62, K. K. He52, K. L. He1,60, F. H. Heinsius4, C. H. Heinz33, Y. K. Heng1,55,60, C. Herold57, G. Y. Hou1,60, Y. R. Hou60, Z. L. Hou1, H. M. Hu1,60, J. F. Hu53,i, T. Hu1,55,60, Y. Hu1, G. S. Huang68,55, K. X. Huang56, L. Q. Huang29,60, X. T. Huang47, Y. P. Huang1, Z. Huang44,g, T. Hussain70, N HΓΌsken26,33, W. Imoehl26, M. Irshad68,55, J. Jackson26, S. Jaeger4, S. Janchiv30, E. Jang52, J. H. Jeong52, Q. Ji1, Q. P. Ji19, X. B. Ji1,60, X. L. Ji1,55, Y. Y. Ji47, Z. K. Jia68,55, P. C. Jiang44,g, S. S. Jiang37, X. S. Jiang1,55,60, Y. Jiang60, J. B. Jiao47, Z. Jiao22, S. Jin40, Y. Jin63, M. Q. Jing1,60, T. Johansson72, S. Kabana31, N. Kalantar-Nayestanaki61, X. L. Kang9, X. S. Kang38, R. Kappert61, M. Kavatsyuk61, B. C. Ke78, I. K. Keshk4, A. Khoukaz65, R. Kiuchi1, R. Kliemt13, L. Koch35, O. B. Kolcu59A, B. Kopf4, M. Kuemmel4, M. Kuessner4, A. Kupsc42,72, W. KΓΌhn35, J. J. Lane64, J. S. Lange35, P. Larin18, A. Lavania25, L. Lavezzi71A,71C, T. T. Lei68,k, Z. H. Lei68,55, H. Leithoff33, M. Lellmann33, T. Lenz33, C. Li45, C. Li41, C. H. Li37, Cheng Li68,55, D. M. Li78, F. Li1,55, G. Li1, H. Li68,55, H. Li49, H. B. Li1,60, H. J. Li19, H. N. Li53,i, J. Q. Li4, J. S. Li56, J. W. Li47, Ke Li1, L. J Li1,60, L. K. Li1, Lei Li3, M. H. Li41, P. R. Li36,j,k, S. X. Li11, S. Y. Li58, T. Li47, W. D. Li1,60, W. G. Li1, X. H. Li68,55, X. L. Li47, Xiaoyu Li1,60, Y. G. Li44,g, Z. X. Li15, Z. Y. Li56, C. Liang40, H. Liang32, H. Liang1,60, H. Liang68,55, Y. F. Liang51, Y. T. Liang29,60, G. R. Liao14, L. Z. Liao47, J. Libby25, A. Limphirat57, C. X. Lin56, D. X. Lin29,60, T. Lin1, B. J. Liu1, C. Liu32, C. X. Liu1, D. Liu18,68, F. H. Liu50, Fang Liu1, Feng Liu6, G. M. Liu53,i, H. Liu36,j,k, H. B. Liu15, H. M. Liu1,60, Huanhuan Liu1, Huihui Liu20, J. B. Liu68,55, J. L. Liu69, J. Y. Liu1,60, K. Liu1, K. Y. Liu38, Ke Liu21, L. Liu68,55, Lu Liu41, M. H. Liu11,f, P. L. Liu1, Q. Liu60, S. B. Liu68,55, T. Liu11,f, W. K. Liu41, W. M. Liu68,55, X. Liu36,j,k, Y. Liu36,j,k, Y. B. Liu41, Z. A. Liu1,55,60, Z. Q. Liu47, X. C. Lou1,55,60, F. X. Lu56, H. J. Lu22, J. G. Lu1,55, X. L. Lu1, Y. Lu7, Y. P. Lu1,55, Z. H. Lu1,60, C. L. Luo39, M. X. Luo77, T. Luo11,f, X. L. Luo1,55, X. R. Lyu60, Y. F. Lyu41, F. C. Ma38, H. L. Ma1, L. L. Ma47, M. M. Ma1,60, Q. M. Ma1, R. Q. Ma1,60, R. T. Ma60, X. Y. Ma1,55, Y. Ma44,g, F. E. Maas18, M. Maggiora71A,71C, S. Maldaner4, S. Malde66, Q. A. Malik70, A. Mangoni27B, Y. J. Mao44,g, Z. P. Mao1, S. Marcello71A,71C, Z. X. Meng63, J. G. Messchendorp13,61, G. Mezzadri28A, H. Miao1,60, T. J. Min40, R. E. Mitchell26, X. H. Mo1,55,60, N. Yu. Muchnoi12,b, Y. Nefedov34, F. Nerling18,d, I. B. Nikolaev12,b, Z. Ning1,55, S. Nisar10,l, Y. Niu 47, S. L. Olsen60, Q. Ouyang1,55,60, S. Pacetti27B,27C, X. Pan52, Y. Pan54, A. Pathak32, Y. P. Pei68,55, M. Pelizaeus4, H. P. Peng68,55, K. Peters13,d, J. L. Ping39, R. G. Ping1,60, S. Plura33, S. Pogodin34, V. Prasad68,55, F. Z. Qi1, H. Qi68,55, H. R. Qi58, M. Qi40, T. Y. Qi11,f, S. Qian1,55, W. B. Qian60, Z. Qian56, C. F. Qiao60, J. J. Qin69, L. Q. Qin14, X. P. Qin11,f, X. S. Qin47, Z. H. Qin1,55, J. F. Qiu1, S. Q. Qu58, K. H. Rashid70, C. F. Redmer33, K. J. Ren37, A. Rivetti71C, V. Rodin61, M. Rolo71C, G. Rong1,60, Ch. Rosner18, S. N. Ruan41, A. Sarantsev34,c, Y. Schelhaas33, C. Schnier4, K. Schoenning72, M. Scodeggio28A,28B, K. Y. Shan11,f, W. Shan23, X. Y. Shan68,55, J. F. Shangguan52, L. G. Shao1,60, M. Shao68,55, C. P. Shen11,f, H. F. Shen1,60, W. H. Shen60, X. Y. Shen1,60, B. A. Shi60, H. C. Shi68,55, J. Y. Shi1, q. q. Shi52, R. S. Shi1,60, X. Shi1,55, J. J. Song19, W. M. Song32,1, Y. X. Song44,g, S. Sosio71A,71C, S. Spataro71A,71C, F. Stieler33, P. P. Su52, Y. J. Su60, G. X. Sun1, H. Sun60, H. K. Sun1, J. F. Sun19, L. Sun73, S. S. Sun1,60, T. Sun1,60, W. Y. Sun32, Y. J. Sun68,55, Y. Z. Sun1, Z. T. Sun47, Y. H. Tan73, Y. X. Tan68,55, C. J. Tang51, G. Y. Tang1, J. Tang56, L. Y Tao69, Q. T. Tao24,h, M. Tat66, J. X. Teng68,55, V. Thoren72, W. H. Tian49, Y. Tian29,60, I. Uman59B, B. Wang1, B. Wang68,55, B. L. Wang60, C. W. Wang40, D. Y. Wang44,g, F. Wang69, H. J. Wang36,j,k, H. P. Wang1,60, K. Wang1,55, L. L. Wang1, M. Wang47, M. Z. Wang44,g, Meng Wang1,60, S. Wang14, S. Wang11,f, T. Wang11,f, T. J. Wang41, W. Wang56, W. H. Wang73, W. P. Wang68,55, X. Wang44,g, X. F. Wang36,j,k, X. L. Wang11,f, Y. Wang58, Y. D. Wang43, Y. F. Wang1,55,60, Y. H. Wang45, Y. Q. Wang1, Yaqian Wang17,1, Z. Wang1,55, Z. Y. Wang1,60, Ziyi Wang60, D. H. Wei14, F. Weidner65, S. P. Wen1, D. J. White64, U. Wiedner4, G. Wilkinson66, M. Wolke72, L. Wollenberg4, J. F. Wu1,60, L. H. Wu1, L. J. Wu1,60, X. Wu11,f, X. H. Wu32, Y. Wu68, Y. J Wu29, Z. Wu1,55, L. Xia68,55, T. Xiang44,g, D. Xiao36,j,k, G. Y. Xiao40, H. Xiao11,f, S. Y. Xiao1, Y. L. Xiao11,f, Z. J. Xiao39, C. Xie40, X. H. Xie44,g, Y. Xie47, Y. G. Xie1,55, Y. H. Xie6, Z. P. Xie68,55, T. Y. Xing1,60, C. F. Xu1,60, C. J. Xu56, G. F. Xu1, H. Y. Xu63, Q. J. Xu16, X. P. Xu52, Y. C. Xu75, Z. P. Xu40, F. Yan11,f, L. Yan11,f, W. B. Yan68,55, W. C. Yan78, H. J. Yang48,e, H. L. Yang32, H. X. Yang1, Tao Yang1, Y. F. Yang41, Y. X. Yang1,60, Yifan Yang1,60, M. Ye1,55, M. H. Ye8, J. H. Yin1, Z. Y. You56, B. X. Yu1,55,60, C. X. Yu41, G. Yu1,60, T. Yu69, X. D. Yu44,g, C. Z. Yuan1,60, L. Yuan2, S. C. Yuan1, X. Q. Yuan1, Y. Yuan1,60, Z. Y. Yuan56, C. X. Yue37, A. A. Zafar70, F. R. Zeng47, X. Zeng6, Y. Zeng24,h, X. Y. Zhai32, Y. H. Zhan56, A. Q. Zhang1,60, B. L. Zhang1,60, B. X. Zhang1, D. H. Zhang41, G. Y. Zhang19, H. Zhang68, H. H. Zhang32, H. H. Zhang56, H. Q. Zhang1,55,60, H. Y. Zhang1,55, J. L. Zhang74, J. Q. Zhang39, J. W. Zhang1,55,60, J. X. Zhang36,j,k, J. Y. Zhang1, J. Z. Zhang1,60, Jianyu Zhang1,60, Jiawei Zhang1,60, L. M. Zhang58, L. Q. Zhang56, Lei Zhang40, P. Zhang1, Q. Y. Zhang37,78, Shuihan Zhang1,60, Shulei Zhang24,h, X. D. Zhang43, X. M. Zhang1, X. Y. Zhang47, X. Y. Zhang52, Y. Zhang66, Y. T. Zhang78, Y. H. Zhang1,55, Yan Zhang68,55, Yao Zhang1, Z. H. Zhang1, Z. L. Zhang32, Z. Y. Zhang41, Z. Y. Zhang73, G. Zhao1, J. Zhao37, J. Y. Zhao1,60, J. Z. Zhao1,55, Lei Zhao68,55, Ling Zhao1, M. G. Zhao41, S. J. Zhao78, Y. B. Zhao1,55, Y. X. Zhao29,60, Z. G. Zhao68,55, A. Zhemchugov34,a, B. Zheng69, J. P. Zheng1,55, Y. H. Zheng60, B. Zhong39, C. Zhong69, X. Zhong56, H. Zhou47, L. P. Zhou1,60, X. Zhou73, X. K. Zhou60, X. R. Zhou68,55, X. Y. Zhou37, Y. Z. Zhou11,f, J. Zhu41, K. Zhu1, K. J. Zhu1,55,60, L. X. Zhu60, S. H. Zhu67, S. Q. Zhu40, T. J. Zhu74, W. J. Zhu11,f, Y. C. Zhu68,55, Z. A. Zhu1,60, J. H. Zou1, J. Zu68,55
(BESIII Collaboration)
1 Institute of High Energy Physics, Beijing 100049, People’s Republic of China
2 Beihang University, Beijing 100191, People’s Republic of China
3 Beijing Institute of Petrochemical Technology, Beijing 102617, People’s Republic of China
4 Bochum Ruhr-University, D-44780 Bochum, Germany
5 Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
6 Central China Normal University, Wuhan 430079, People’s Republic of China
7 Central South University, Changsha 410083, People’s Republic of China
8 China Center of Advanced Science and Technology, Beijing 100190, People’s Republic of China
9 China University of Geosciences, Wuhan 430074, People’s Republic of China
10 COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
11 Fudan University, Shanghai 200433, People’s Republic of China
12 G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
13 GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
14 Guangxi Normal University, Guilin 541004, People’s Republic of China
15 Guangxi University, Nanning 530004, People’s Republic of China
16 Hangzhou Normal University, Hangzhou 310036, People’s Republic of China
17 Hebei University, Baoding 071002, People’s Republic of China
18 Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
19 Henan Normal University, Xinxiang 453007, People’s Republic of China
20 Henan University of Science and Technology, Luoyang 471003, People’s Republic of China
21 Henan University of Technology, Zhengzhou 450001, People’s Republic of China
22 Huangshan College, Huangshan 245000, People’s Republic of China
23 Hunan Normal University, Changsha 410081, People’s Republic of China
24 Hunan University, Changsha 410082, People’s Republic of China
25 Indian Institute of Technology Madras, Chennai 600036, India
26 Indiana University, Bloomington, Indiana 47405, USA
27 INFN Laboratori Nazionali di Frascati , (A)INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy; (B)INFN Sezione di Perugia, I-06100, Perugia, Italy; (C)University of Perugia, I-06100, Perugia, Italy
28 INFN Sezione di Ferrara, (A)INFN Sezione di Ferrara, I-44122, Ferrara, Italy; (B)University of Ferrara, I-44122, Ferrara, Italy
29 Institute of Modern Physics, Lanzhou 730000, People’s Republic of China
30 Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
31 Instituto de Alta Investigaci, Universidad de Tarapac, Casilla 7D, Arica, Chile
32 Jilin University, Changchun 130012, People’s Republic of China
33 Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
34 Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
35 Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
36 Lanzhou University, Lanzhou 730000, People’s Republic of China
37 Liaoning Normal University, Dalian 116029, People’s Republic of China
38 Liaoning University, Shenyang 110036, People’s Republic of China
39 Nanjing Normal University, Nanjing 210023, People’s Republic of China
40 Nanjing University, Nanjing 210093, People’s Republic of China
41 Nankai University, Tianjin 300071, People’s Republic of China
42 National Centre for Nuclear Research, Warsaw 02-093, Poland
43 North China Electric Power University, Beijing 102206, People’s Republic of China
44 Peking University, Beijing 100871, People’s Republic of China
45 Qufu Normal University, Qufu 273165, People’s Republic of China
46 Shandong Normal University, Jinan 250014, People’s Republic of China
47 Shandong University, Jinan 250100, People’s Republic of China
48 Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
49 Shanxi Normal University, Linfen 041004, People’s Republic of China
50 Shanxi University, Taiyuan 030006, People’s Republic of China
51 Sichuan University, Chengdu 610064, People’s Republic of China
52 Soochow University, Suzhou 215006, People’s Republic of China
53 South China Normal University, Guangzhou 510006, People’s Republic of China
54 Southeast University, Nanjing 211100, People’s Republic of China
55 State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People’s Republic of China
56 Sun Yat-Sen University, Guangzhou 510275, People’s Republic of China
57 Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
58 Tsinghua University, Beijing 100084, People’s Republic of China
59 Turkish Accelerator Center Particle Factory Group, (A)Istinye University, 34010, Istanbul, Turkey; (B)Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
60 University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
61 University of Groningen, NL-9747 AA Groningen, Netherlands
62 University of Hawaii, Honolulu, Hawaii 96822, USA
63 University of Jinan, Jinan 250022, People’s Republic of China
64 University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
65 University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
66 University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
67 University of Science and Technology Liaoning, Anshan 114051, People’s Republic of China
68 University of Science and Technology of China, Hefei 230026, People’s Republic of China
69 University of South China, Hengyang 421001, People’s Republic of China
70 University of the Punjab, Lahore-54590, Pakistan
71 University of Turin and INFN, (A)University of Turin, I-10125, Turin, Italy; (B)University of Eastern Piedmont, I-15121, Alessandria, Italy; (C)INFN, I-10125, Turin, Italy
72 Uppsala University, Box 516, SE-75120 Uppsala, Sweden
73 Wuhan University, Wuhan 430072, People’s Republic of China
74 Xinyang Normal University, Xinyang 464000, People’s Republic of China
75 Yantai University, Yantai 264005, People’s Republic of China
76 Yunnan University, Kunming 650500, People’s Republic of China
77 Zhejiang University, Hangzhou 310027, People’s Republic of China
78 Zhengzhou University, Zhengzhou 450001, People’s Republic of China
a Also at the Moscow Institute of Physics and Technology, Moscow 141700, Russia.
b Also at the Novosibirsk State University, Novosibirsk, 630090, Russia.
c Also at the NRC ”Kurchatov Institute”, PNPI, 188300, Gatchina, Russia.
d Also at Goethe University Frankfurt, 60323 Frankfurt am Main, Germany.
e Also at Key Laboratory for Particle Physics, Astrophysics and Cosmology, Ministry of Education; Shanghai Key Laboratory for Particle Physics and Cosmology; Institute of Nuclear and Particle Physics, Shanghai 200240, People’s Republic of China.
f Also at Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443, People’s Republic of China.
g Also at State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, People’s Republic of China.
h Also at School of Physics and Electronics, Hunan University, Changsha 410082, China.
i Also at Guangdong Provincial Key Laboratory of Nuclear Science, Institute of Quantum Matter, South China Normal University, Guangzhou 510006, China.
j Also at Frontiers Science Center for Rare Isotopes, Lanzhou University, Lanzhou 730000, People’s Republic of China.
k Also at Lanzhou Center for Theoretical Physics, Lanzhou University, Lanzhou 730000, People’s Republic of China.
l Also at the Department of Mathematical Sciences, IBA, Karachi , Pakistan.
Abstract

The decays J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} are observed for the first time, using (10087Β±44)Γ—106(10087\pm 44)\times 10^{6} J/ψJ/\psi and (448.1Β±2.9)Γ—106(448.1\pm 2.9)\times 10^{6} ψ⁑(3686)\psi(3686) events collected with the BESIII detector at the BEPCII collider. We determine the branching fractions of these two decays to be ℬ(J/Οˆβ†’Ξ·Ξ£+Σ¯)βˆ’=(6.34Β±0.21Β±0.37)Γ—10βˆ’5{\cal B}(J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})=(6.34\pm 0.21\pm 0.37)\times 10^{-5} and ℬ(ψ(3686)β†’Ξ·Ξ£+Σ¯)βˆ’=(9.59Β±2.37Β±0.61)Γ—10βˆ’6{\cal B}(\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})=(9.59\pm 2.37\pm 0.61)\times 10^{-6}, where the first uncertainties are statistical and the second are systematic. The ratio of these two branching fractions is determined to be ℬ(ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’)ℬ(J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’)=(15.1Β±3.8)%\frac{{\cal B}(\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})}{{\cal B}(J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})}=(15.1\pm 3.8)\%, which is in agreement with the β€œ12% rule.”

I Introduction

Studies of the hadronic decays of the c​cΒ―c\bar{c} states J/ψJ/\psi and ψ⁑(3686)\psi(3686) (here referred to as ψ\psi) provide good opportunities to test theories in the transition region of perturbative and nonperturbative quantum chromodynamics (QCD), as well as valuable information on the structure of charmonia [1].

Many kinds of two-body decays of charmonia into a baryon pair, i.e. Οˆβ†’B​BΒ―\psi\to B\bar{B} (BB stands for a baryon), have been observed in experiments, and they have been understood in terms of c​cΒ―c\bar{c} annihilations into three gluons or into a virtual photon [2]. The measurement of three-body decays Οˆβ†’B​B¯​P\psi\to B\bar{B}P, where PP stands for a pseudoscalar meson such as Ξ·\eta or Ο€0\pi^{0}, has the additional advantage to study the intermediate excited hadrons. On this field, so far the BESIII Collaboration has published the studies on the decays Οˆβ†’p​p¯​π0​(Ξ·)\psi\to p\bar{p}\pi^{0}(\eta) [3] and Οˆβ†’Ξ›β€‹Ξ›Β―β€‹Ο€0​(Ξ·)\psi\to\Lambda\bar{\Lambda}\pi^{0}(\eta) [4], while the similar isospin-allowed decay Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} has not yet been measured. In addition, since most of the excitation spectra of hyperons are still not well understood [5], the Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} decay provides a good opportunity to search for potential Ξ£\Sigma excitations.

Perturbative QCD (pQCD) predicts that the ratio between the branching fractions of J/ψJ/\psi and ψ⁑(3686)\psi(3686) decaying into the same final states obeys the so-called β€œ12% rule” [6, 7], expressed by ℬ⁑(ψ⁑(3686)β†’X)ℬ⁑(J/Οˆβ†’X)β‰ˆ12%\frac{{\cal B}(\psi(3686)\to X)}{{\cal B}(J/\psi\to X)}\approx 12\%, where XX denotes any exclusive hadronic decay mode or the Ε‚+β€‹Ε‚βˆ’β€‹(Ε‚=e,ΞΌ)\l^{+}\l^{-}\penalty\ (\l=e,\penalty\ \mu) final state. A large fraction of measured branching fractions for exclusive decays follows the β€œ12% rule” within errors. However, the measured ratio of ℬ⁑(ψ⁑(3686)→ρ​π){\cal B}(\psi(3686)\to\rho\pi) to ℬ⁑(J/Οˆβ†’Οβ€‹Ο€){\cal B}(J/\psi\to\rho\pi) is much less than the prediction. To understand the deviation from β€œ12% rule” in some decay modes, many theoretical and experimental efforts have been made. For example, the ratio for the isospin violating decay Οˆβ†’Ξ›β€‹Ξ›Β―β€‹Ο€0\psi\to\Lambda\bar{\Lambda}\pi^{0} deviates from 12%, while it is consistent for the isospin-allowed decay Οˆβ†’Ξ›β€‹Ξ›Β―β€‹Ξ·\psi\to\Lambda\bar{\Lambda}\eta [4]. The BESIII experiment has collected the largest data sample of J/ψJ/\psi and ψ⁑(3686)\psi(3686) events, providing a good opportunity to test the β€œ12% rule” in the decays involving Ξ£\Sigma hyperons in the final state.

In this paper, we report the first measurements of the branching fractions of J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, based on the data samples of (10087Β±44)Γ—106(10087\pm 44)\times 10^{6} J/ψJ/\psi events and (448.1Β±2.9)Γ—106(448.1\pm 2.9)\times 10^{6} ψ⁑(3686)\psi(3686) events [8, 9] collected with the BESIII detector. Besides, we search for potential excited baryon states and unknown structures in the η​Σ\eta\Sigma and Ξ£+Ξ£Β―βˆ’\Sigma^{+}\overline{\Sigma}{}^{-} invariant mass spectra.

II BESIII Detector and Monte Carlo Simulation

The BESIII detector is a magnetic spectrometer [10] located at the electron positron collider BEPCII. The cylindrical core of the BESIII detector consists of a helium-based multilayer drift chamber (MDC), a plastic scintillator time-of-flight system (TOF), and a CsI (Tl) electromagnetic calorimeter (EMC), which are all enclosed in a superconducting solenoidal magnet providing a 1.0 T (0.9 T in 2012) magnetic field. The solenoid is supported by an octagonal flux-return yoke with resistive plate counter muon identifier modules interleaved with steel. The acceptance of charged particles and photons is 93% over 4Ο€\pi solid angle. The charged-particle momentum resolution at 1 GeV/cc is 0.5%, and the specific ionization energy loss (d​E/d​xdE/dx) resolution is 6% for the electrons from Bhabha scattering. The EMC measures photon energies with a resolution of 2.5% (5%) at 1 GeV in the barrel (end cap) region. The time resolution of the TOF barrel part is 68 ps, while that of the end cap part is 110 ps. The end cap TOF system was upgraded in 2015 with multigap resistive plate chamber technology, providing a time resolution of 60 ps [11, 12].

To determine the reconstruction efficiency of the decay channels, exclusive MC samples are simulated by using the phase space (PHSP) model for the decay of each reaction channel. These samples are produced with a GEANT4-based [13] Monte Carlo (MC) package, which includes the geometric description of the BESIII detector and the detector response. The simulation also models the beam energy spread and initial state radiation (ISR) in the e+​eβˆ’e^{+}e^{-} annihilations with the generator KKMC [14]. For the determination of background contributions, the so-called inclusive MC samples are used. These samples include the production of the J/ψJ/\psi or ψ⁑(3686)\psi(3686) events as resonance, in ISR production of the ψ\psi, and as continuum processes as incorporated in KKMC. For these decays all known modes are modeled with EVTGEN [15, 16] using branching fractions taken from the Particle Data Group (PDG) [17]. All remaining unknown decays of charmonium states are modeled with LUNDCHARM [18]. Final state radiation from charged final state particles is incorporated using PHOTOS [19].

III Event selection

In the channel Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, the Ξ£+\Sigma^{+}(Ξ£Β―βˆ’\overline{\Sigma}^{-}) is reconstructed with Ξ£+β†’p​π0​(Ξ£Β―βˆ’β†’p¯​π0)\Sigma^{+}\to p\pi^{0}(\overline{\Sigma}^{-}\to\bar{p}\pi^{0}), while the Ο€0\pi^{0} and Ξ·\eta are reconstructed with Ο€0→γ​γ\pi^{0}\to\gamma\gamma and η→γ​γ\eta\to\gamma\gamma, respectively.

For each charged track, the distance of closest approach to the interaction point (IP) is required to be within 20 cm along the beam direction, while no requirement in the plane perpendicular to the beam direction is applied. Charged tracks detected in the MDC are required to be within a polar angle (ΞΈ\theta) range of |cos⁑θ|<0.93|\cos\theta|<0.93, where ΞΈ\theta is defined with respect to the zz axis. The measurements of the flight time in the TOF and of the d​E/d​xdE/dx in the MDC are combined to compute particle identification (PID) confidence levels for pion, kaon and proton hypotheses. The track is assigned to the particle type with the highest confidence level. One proton and one antiproton are required to be identified.

Photon candidates are reconstructed from isolated showers in the EMC within 700 ns from the event start time. Their energy is required to be greater than 25 MeV in the barrel region (|cos⁑θ|<0.8|\cos\theta|<0.8) and 50 MeV in the end cap region (0.86<|cos⁑θ|<0.920.86<|\cos\theta|<0.92). The Ο€0\pi^{0} and Ξ·\eta candidates are selected from all the photon pairs by a selection on invariant mass of (0.110, 0.160) and (0.450, 0.650) GeV/c2c^{2}, respectively. Furthermore, events are required to contain at least one Ξ·\eta and two Ο€0\pi^{0} candidates.

In order to suppress the remaining backgrounds and to improve the mass resolution, a seven-constraint (7C) kinematic fit is performed on the η​π0​π0​p​pΒ―\eta\pi^{0}\pi^{0}p\bar{p} candidates, by constraining the total four-momentum of the final state particles to the total initial four-momentum of the colliding beams, and the invariant mass of the two photons from the decay of the Ξ·/Ο€0\eta/\pi^{0} to the nominal mass value. If there is more than one combination surviving the selections, the one with the least Ο‡7​C2\chi^{2}_{\rm 7C} of the kinematic fit is selected. Furthermore, the Ο‡7​C2\chi^{2}_{\rm 7C} value is required to be less than 30 and 25 for J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively, by optimizing the figure of merit (FOM), defined as S/S+BS/\sqrt{S+B}, where SS is the number of signal events from the signal MC sample and BB is the number of background events from the inclusive MC sample. Since the masses of the Ξ£+\Sigma^{+} and Ξ£Β―βˆ’\overline{\Sigma}^{-} candidates are not constrained in the fit, the two Ο€0\pi^{0} from Ξ£+\Sigma^{+} and Ξ£Β―βˆ’\overline{\Sigma}^{-} decays are selected by minimizing Ξ”=(Mp​π0βˆ’mΞ£+)2+(Mp¯​π0βˆ’mΞ£Β―βˆ’)2\Delta=\sqrt{(M_{p\pi^{0}}-m_{\Sigma^{+}})^{2}+(M_{\bar{p}\pi^{0}}-m_{\overline{\Sigma}^{-}})^{2}} by iterating all the possible proton/antiproton and Ο€0\pi^{0} combinations.

For J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, the background from J/Οˆβ†’p​p¯​η′J/\psi\to p\bar{p}\eta^{\prime} is vetoed by requiring the invariant mass of the η​π0​π0\eta\pi^{0}\pi^{0} combination to be outside the Ξ·β€²\eta^{\prime} signal region [0.95, 0.97] GeV/c2c^{2}. For ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, the recoil mass of the Ξ·\eta is required to satisfy MΞ·rec<3.050M_{\eta}^{\rm rec}<3.050 GeV/c2 to suppress the backgrounds from ψ⁑(3686)→η​J/ψ\psi(3686)\to\eta J/\psi and ψ⁑(3686)→γ​χc​0,1,2,Ο‡c​0,1,2→γ​J/ψ\psi(3686)\to\gamma\chi_{c0,1,2},\penalty\ \chi_{c0,1,2}\to\gamma J/\psi with J/Οˆβ†’Ξ£+Ξ£Β―βˆ’J/\psi\to\Sigma^{+}\overline{\Sigma}{}^{-}. The background from ψ⁑(3686)β†’Ο€0​π0​J/ψ\psi(3686)\to\pi^{0}\pi^{0}J/\psi is vetoed by requiring the recoil mass of the Ο€0​π0\pi^{0}\pi^{0} pair to be outside the J/ψJ/\psi signal region [3.080, 3.120] GeV/c2c^{2}.

Potential remaining backgrounds are investigated by studying the inclusive J/ψJ/\psi and ψ⁑(3686)\psi(3686) MC samples, using the event-type analysis tool TopoAna [20]. It is found that the peaking backgrounds are mainly from J/Οˆβ†’Ο€0Ξ£+Ξ£Β―βˆ’J/\psi\to\pi^{0}\Sigma^{+}\overline{\Sigma}{}^{-} for the J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} channel, and ψ(3686)β†’Ξ³Ο‡c​0,1,2,Ο‡c​0,1,2β†’Ο€0Ξ£+Ξ£Β―βˆ’\psi(3686)\to\gamma\chi_{c0,1,2},\penalty\ \chi_{c0,1,2}\to\pi^{0}\Sigma^{+}\overline{\Sigma}{}^{-} for the ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} channel.

After imposing all the selection criteria, the two-dimensional (2D) distributions of the invariant mass of p​π0p\pi^{0} (Mp​π0M_{p\pi^{0}}) versus the invariant mass of p¯​π0\bar{p}\pi^{0} (Mp¯​π0M_{\bar{p}\pi^{0}}) of the accepted candidates for J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} in data are shown in Fig. 1. A clear enhancement around the masses of Ξ£+\Sigma^{+} and Ξ£Β―βˆ’\overline{\Sigma}^{-} is visible. The Ξ£\Sigma signal and sideband regions are set to be Mp​π0∈M_{p\pi^{0}}\in [1.177, 1.201] GeV/c2c^{2} and Mp​π0∈M_{p\pi^{0}}\in[1.141, 1.165] GeV/c2c^{2} or Mp​π0∈M_{p\pi^{0}}\in [1.213, 1.237] GeV/c2c^{2}, respectively. Figure 2 shows the Mp¯​π0M_{\bar{p}\pi^{0}} distributions after requiring Mp​π0M_{p\pi^{0}} to be within the Ξ£+\Sigma^{+} signal region. A clear peak in the Ξ£Β―βˆ’\overline{\Sigma}^{-} region is visible.

The quantum electrodynamics (QED) production of e+eβˆ’β†’Ξ·Ξ£+Ξ£Β―βˆ’e^{+}e^{-}\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} is studied using the off-resonance data taken at s=\sqrt{s}= 3.080, 3.650 and 3.682 GeV. In the analysis no event satisfies the above selection criteria, thereby indicating that the background from the QED process is negligible.

(a)
(b)
Figure 1: The 2D distributions of Mp​π0M_{p\pi^{0}} versus Mp¯​π0M_{\bar{p}\pi^{0}} of the accepted candidates for (a) J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and (b) ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, where the red solid lines and the blue dashed lines denote the Ξ£\Sigma signal and sideband regions, respectively.

IV Determination of the branching fractions

For the branching fraction measurement, the signal yield NobsN_{\rm obs} of the Ξ£Β―βˆ’\overline{\Sigma}^{-} peak is determined by an unbinned maximum likelihood fit to the Mp¯​π0M_{\bar{p}\pi^{0}} distribution, as shown in Fig. 2. The Ξ£Β―βˆ’\overline{\Sigma}^{-} signal shape is described by a normalized Crystal Ball function [21], since the distribution of the photon energy deposited in the EMC has a long tail on the low energy side. The smooth background shape is described by third-order and second-order Chebyshev functions for J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively, whose parameters are fixed from the fits to the sideband events and contributions are floated. The contribution of peaking backgrounds is described by the MC-simulated shapes obtained from the exclusive MC samples. To determine the expected yield of the peaking background, the control samples of J/Οˆβ†’Ο€0Ξ£+Ξ£Β―βˆ’J/\psi\to\pi^{0}\Sigma^{+}\overline{\Sigma}{}^{-} and ψ(3686)β†’Ξ³Ο‡c​0,1,2,Ο‡c​0,1,2β†’Ο€0Ξ£+Ξ£Β―βˆ’\psi(3686)\to\gamma\chi_{c0,1,2},\penalty\ \chi_{c0,1,2}\to\pi^{0}\Sigma^{+}\overline{\Sigma}{}^{-} are used. Based on the branching fractions obtained from the control samples and the detection efficiencies determined from the exclusive MC samples, we determined the yields of the peaking background to be 107.6Β±0.6107.6\pm 0.6 and 1.1Β±0.11.1\pm 0.1 for J/ψJ/\psi and ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, respectively. The statistical significance is estimated by the likelihood difference between the fits with and without the signal component, taking into account the modified number of the degrees of freedom. The fit is also performed by changing the fit range, the signal shape, or the background shape. In all cases, the statistical significance for ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} is greater than 5​σ5\sigma. The signal yields are determined to be 1821.17Β±60.751821.17\pm 60.75 and 20.49Β±5.0720.49\pm 5.07 for J/ψJ/\psi and ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, respectively, where the uncertainties are statistical only.

(a)
(b)
Figure 2: Fits to the Mp¯​π0M_{\bar{p}\pi^{0}} distributions of the accepted candidates for (a) J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and (b) ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}. The black points with uncertainties are data, the blue solid curves are the fit results, the red dotted lines denote the signal MC sample, the green dashed lines denote the Chebyshev function, the black long-dashed lines denote the backgrounds of J/Οˆβ†’Ο€0Ξ£+Ξ£Β―βˆ’J/\psi\to\pi^{0}\Sigma^{+}\overline{\Sigma}{}^{-} (J/ψJ/\psi data) and ψ(3686)β†’Ξ³Ο‡c​0,1,2,Ο‡0,1,2β†’Ο€0Ξ£+Ξ£Β―βˆ’\psi(3686)\to\gamma\chi_{c0,1,2},\penalty\ \chi_{0,1,2}\to\pi^{0}\Sigma^{+}\overline{\Sigma}{}^{-} (ψ⁑(3686)\psi(3686) data). The pink shadow denote the scaled 1D sideband contribution according to the final fit results.

Figures 3 (a)-3(f) show the invariant mass distributions of the different two-body particle combinations for Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, where the background contributions are estimated from the Ξ£\Sigma sidebands. The experimental distributions deviate from the signal MC sample generated according to the phase space distribution (PHSP). To improve the reliability of the reconstruction efficiency Ξ΅J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’\varepsilon_{J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}}, the PHSP model is replaced by the modified data-driven generator BODY3 [15], where the MC-simulated events are sampled according to the Dalitz distribution of the data to describe the potential intermediate states for a given three-body final state, obtaining good consistency. As shown in Fig. 3, there is no structure visible in the η​Σ+\eta\Sigma^{+}, Ξ·β€‹Ξ£Β―βˆ’\eta\overline{\Sigma}^{-} and Ξ£+Ξ£Β―βˆ’\Sigma^{+}\overline{\Sigma}{}^{-} invariant mass spectra.

(a)
(d)
(b)
(e)
(c)
(f)
Figure 3: Invariant mass distributions of all the two-body particle combinations for (left side) J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and (right side) ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}. The points with error bars are data, the red histograms are the sum of the sidebands and the signal MC sample generated with the modified data-driven generator, the blue dotted histograms are the sum of the sidebands and the signal MC sample generated with PHSP model, the green shaded histograms are the background contributions estimated from the Ξ£\Sigma sidebands. The signal and background yields have been normalized according to the fitting results for data.

The branching fraction of Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} is calculated by

ℬ(Οˆβ†’Ξ·Ξ£+Σ¯)βˆ’=NobsNψtotβ‹…βˆβ„¬iβ‹…Ο΅,{\cal B}(\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})=\frac{N_{\rm obs}}{N^{\rm tot}_{\psi}\cdot\prod{\cal B}_{i}\cdot\epsilon}, (1)

where NobsN_{\rm obs} is the number of signal events determined by the fit, NψtotN^{\rm tot}_{\psi} is the number of the total J/ψJ/\psi or ψ⁑(3686)\psi(3686) events [8, 9], ℬi{\cal B}_{i} is the branching fraction of the iith intermediate state taken from the PDG [17], i.e. ℬ⁑(Ο€0→γ​γ)=(98.823Β±0.034)%{\cal B}(\pi^{0}\to\gamma\gamma)=(98.823\pm 0.034)\%, ℬ⁑(η→γ​γ)=(39.36Β±0.18)%{\cal B}(\eta\to\gamma\gamma)=(39.36\pm 0.18)\% and ℬ⁑(Ξ£+​(Ξ£Β―βˆ’)β†’Ο€0​p​(pΒ―))=(51.57Β±0.30)%{\cal B}(\Sigma^{+}(\overline{\Sigma}^{-})\to\pi^{0}p(\bar{p}))=(51.57\pm 0.30)\%, Ο΅\epsilon is the reconstruction efficiency, which is determined by the MC simulation based the BODY3 generator. The corresponding numerical values are listed in Table 1.

Table 1: Summary of the number of ψ\psi events, the branching fractions of the intermediate states taken from the PDG [17], the reconstruction efficiency, the correction factors and the signal yields used for branching fraction calculations. The uncertainties are statistical only.
J/ψJ/\psi decay ψ⁑(3686)\psi(3686) decay
NJ/ψ⁑(ψ⁑(3686))totN^{\rm tot}_{J/\psi(\psi(3686))}(Γ—106\times 10^{6}) 10087 Β±\pm 44 448.1 Β±\pm 2.9
ℬ⁑(Ο€0→γ​γ){\cal B}(\pi^{0}\to\gamma\gamma) (98.823Β±0.034)(98.823\pm 0.034)%
ℬ⁑(η→γ​γ){\cal B}(\eta\to\gamma\gamma) (39.36Β±0.18)(39.36\pm 0.18)%
ℬ⁑(Ξ£+​(Ξ£Β―βˆ’)β†’Ο€0​p​(pΒ―)){\cal B}(\Sigma^{+}(\overline{\Sigma}^{-})\to\pi^{0}p(\bar{p})) (51.57Β±0.30)(51.57\pm 0.30)%
Efficiency (%) 2.78 Β±\pm 0.01 4.66 Β±\pm 0.01
NobsN_{\rm obs} 1821.17 Β±\pm 60.75 20.49 Β±\pm 5.07
ℬ{\cal B} (6.34Β±0.21)Γ—10βˆ’5(6.34\pm 0.21)\times 10^{-5} (9.59Β±2.37)Γ—10βˆ’6(9.59\pm 2.37)\times 10^{-6}
Table 2: Relative systematic uncertainties (in %) of the measurements of the branching fractions.
Source J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}
Track reconstruction 3.0 3.0
PID 2.9 2.9
Ο€0\pi^{0} reconstruction 1.4 1.0
Ξ·\eta reconstruction 0.9 1.1
Fit range 1.4 1.1
Signal shape 1.9 0.5
Smooth background 1.3 1.1
Peaking background 0.6 1.0
p​p¯​η′p\bar{p}\eta^{\prime} background veto 0.9 -
Ο€0​π0​J/ψ\pi^{0}\pi^{0}J/\psi background veto - 0.7
Signal MC model 0.3 1.1
Kinematic fit 2.0 3.6
ℬ{\cal B} of intermediate state 1.3 1.3
NψtotN_{\psi}^{\rm tot} 0.4 0.6
Total 5.9 6.3

V Systematic uncertainty

Several sources of systematic uncertainties for the branching fraction measurements are considered: the differences between data and MC simulation for track reconstruction, PID and Ο€0\pi^{0}(Ξ·\eta) reconstruction, the uncertainty of the fitting model, the background substraction and description, the signal modeling, kinematic fit, the branching fractions of intermediate states, and the total number of ψ\psi events.

The uncertainties of track reconstruction efficiencies are estimated with the control sample ψ⁑(3686)β†’p​p¯​π+β€‹Ο€βˆ’\psi(3686)\to p\bar{p}\pi^{+}\pi^{-} [22], and are determined to be 1.3% and 1.7% for each proton and antiproton, respectively. With the same control sample, the PID uncertainties are determined to be 1.3% per proton and 1.6% per antiproton.

The systematic uncertainty due to the Ο€0\pi^{0}(Ξ·\eta) reconstruction efficiency is determined by using the control sample of J/Οˆβ†’p​p¯​π0​(Ξ·)J/\psi\to p\bar{p}\pi^{0}(\eta) decays. The resulting systematic uncertainties of the Ο€0\pi^{0} reconstruction efficiency are determined to be 0.7% and 0.5% for the J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively, depending on the different Ο€0\pi^{0} momentum. The resulting systematic uncertainties of the Ξ·\eta reconstruction efficiency are determined to be 0.9% and 1.1% for the J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively, depending on the different Ξ·\eta momentum.

The systematic uncertainty of the fitting model originates from the fit range and the choice of the signal and the background functions. The uncertainty due to the fit range is estimated by varying the range by Β±10\pm 10 MeV/c2c^{2}. The largest difference of the resulting branching fractions is taken as the systematic uncertainty, which is 1.4% and 1.1% for the J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively. To estimate the uncertainties of the signal shape, a Breit-Wigner function convolved with a Gaussian function is used to replace the signal shape instead of the Crystal Ball function, while the background contributions are fixed to the nominal fit result. The differences to the nominal models, 1.9% and 0.5%, are taken as the systematic uncertainties for the J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively. For the smooth background, the uncertainties are estimated by varying the order of the Chebychev polynomial function by Β±1\pm 1 order. The largest difference to the original function is taken as the systematic uncertainty, which is 1.3% and 1.1% for J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively. For the peaking background, the systematic uncertainty for J/Οˆβ†’Ο€0Ξ£+Ξ£Β―βˆ’J/\psi\to\pi^{0}\Sigma^{+}\overline{\Sigma}{}^{-} is estimated by removing and adding the background contribution in extracting the signal yield. The difference in the branching fraction determination, 0.6%, is taken as the systematic uncertainty. The systematic uncertainty for the background of ψ(3686)β†’Ξ³Ο‡c​0,1,2,Ο‡c​0,1,2β†’Ο€0Ξ£+Ξ£Β―βˆ’\psi(3686)\to\gamma\chi_{c0,1,2},\penalty\ \chi_{c0,1,2}\to\pi^{0}\Sigma^{+}\overline{\Sigma}{}^{-} is estimated by changing the expected yield for peaking background events by Β±1​σ\pm 1\sigma, where Οƒ\sigma is the uncertainty of NpeakN_{\rm peak} mentioned above. The larger difference to the nominal result, 1.0%, is taken as the systematic uncertainty.

To estimate the systematic uncertainty of the background veto for J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, the background contribution J/Οˆβ†’Ξ·β€²β€‹p​pΒ―,Ξ·β€²β†’Ο€0​π0​ηJ/\psi\to\eta^{\prime}p\bar{p},\penalty\ \eta^{\prime}\to\pi^{0}\pi^{0}\eta is subtracted by requiring the invariant mass of the Ο€0​π0​η\pi^{0}\pi^{0}\eta combination outside the Ξ·β€²\eta^{\prime} signal window [0.95, 0.97] GeV/c2c^{2}. The associated systematic uncertainty is estimated by changing the Ξ·β€²\eta^{\prime} signal window by Β±1​σ\pm 1\sigma, where the Οƒ\sigma denotes the mass resolution of Ξ·β€²\eta^{\prime}. The largest change to the nominal result, 0.9%, is taken as the systematic uncertainty.

For ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, the systematic uncertainty of the requirement on the MΟ€0​π0recM^{\rm rec}_{\pi^{0}\pi^{0}} is estimated by using the control sample of ψ⁑(3686)β†’Ο€0​π0​J/ψ,J/Οˆβ†’Ξ·β€‹p​pΒ―\psi(3686)\to\pi^{0}\pi^{0}J/\psi,\penalty\ J/\psi\to\eta p\bar{p}. The efficiency, defined as the ratio of the number of signal events with and without the MΟ€0​π0recM^{\rm rec}_{\pi^{0}\pi^{0}} requirement, is calculated and the difference between data and MC simulation values, 0.7%, is taken as the systematic uncertainty.

The uncertainty due to the MΞ·recM^{\rm rec}_{\eta} veto is ignored since the efficiency loss due to this requirement is negligible.

The systematic uncertainty of the signal MC modeling is estimated by varying the bin size of the input Dalitz plot by Β±\pm10%, and varying the background level in the input Dalitz plot in the BODY3 generator by Β±1​σ\pm 1\sigma, where the Οƒ\sigma denotes the statistical uncertainty of the background level which is determined from the fit result. Combining the results from the two sources, the largest change to the nominal reconstruction efficiency, 0.3% and 1.1%, are taken as the systematic uncertainties for the J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively.

The systematic uncertainty of the kinematic fit is estimated by using the control sample of ψ⁑(3686)β†’Ο€0​π0​J/ψ,J/Οˆβ†’p​p¯​η\psi(3686)\to\pi^{0}\pi^{0}J/\psi,\penalty\ J/\psi\to p\bar{p}\eta. The efficiency of kinematic fit is defined as the ratio of the number of signal events with and without the kinematic fit. The differences of the efficiencies between data and MC simulation are determined to be 2.0% and 3.6% for J/ψJ/\psi and ψ⁑(3686)\psi(3686) decays, respectively, depending on the different Ο‡7​C2\chi^{2}_{\rm 7C} requirement.

The uncertainties from the quoted branching fractions of η→γ​γ\eta\to\gamma\gamma, Ξ£+​(Ξ£Β―βˆ’)β†’p⁑(pΒ―)​π0\Sigma^{+}(\overline{\Sigma}^{-})\to p(\bar{p})\pi^{0}, Ο€0→γ​γ\pi^{0}\to\gamma\gamma [17] are 0.5%, 0.6% and less than 0.1%, respectively, and the total uncertainty is determined to be 1.3%.

The systematic uncertainty from the total number of ψ\psi events, which are determined with inclusive hadronic events, are 0.4% and 0.6% for J/ψJ/\psi and ψ⁑(3686)\psi(3686) data samples, respectively [8, 9].

Table 2 lists all the systematic uncertainty contributions on the branching fraction measurements. The total systematic uncertainty is obtained by adding the individual contributions in quadrature. The total systematic uncertainties are 5.9% and 6.3% for J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-}, respectively.

VI Summary and discussion

Using the data samples of (10087Β±44)Γ—106(10087\pm 44)\times 10^{6} J/ψJ/\psi and (448.1Β±2.9)Γ—106(448.1\pm 2.9)\times 10^{6} ψ⁑(3686)\psi(3686) events collected with the BESIII detector, the decays J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} and ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-} are observed for the first time. The branching fractions of these two decays are determined to be ℬ(J/Οˆβ†’Ξ·Ξ£+Σ¯)βˆ’=(6.34Β±0.21Β±0.37)Γ—10βˆ’5{\cal B}(J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})=(6.34\pm 0.21\pm 0.37)\times 10^{-5} and ℬ(ψ(3686)β†’Ξ·Ξ£+Σ¯)βˆ’=(9.59Β±2.37Β±0.61)Γ—10βˆ’6{\cal B}(\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})=(9.59\pm 2.37\pm 0.61)\times 10^{-6}, where the first uncertainties are statistical and the second are systematic. The ratio of these two branching fractions is determined to be ℬ(ψ(3686)β†’Ξ·Ξ£+Ξ£Β―βˆ’)ℬ(J/Οˆβ†’Ξ·Ξ£+Ξ£Β―βˆ’)=(15.1Β±3.8)%\frac{{\cal B}(\psi(3686)\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})}{{\cal B}(J/\psi\to\eta\Sigma^{+}\overline{\Sigma}{}^{-})}=(15.1\pm 3.8)\%, where the uncertainty includes the statistical uncertainty and the uncorrelated systematic uncertainty, which is in agreement with the β€œ12% rule”. No significant structures are observed in the η​Σ+\eta\Sigma^{+}, Ξ·β€‹Ξ£Β―βˆ’\eta\overline{\Sigma}^{-}, and Ξ£+Ξ£Β―βˆ’\Sigma^{+}\overline{\Sigma}{}^{-} invariant mass spectra. However, the shapes of the invariant mass distributions of all subsystems deviate from the pure 3-body decay distribution. This implies the existence of some unknown dynamical effect. A partial wave analysis applied in a larger data sample may lead to decouple the underlying dynamics of the phenomenon [23].

Acknowledgements.
The BESIII Collaboration thanks the staff of BEPCII and the IHEP computing center for their strong support. This work is supported in part by National Key R&\&D Program of China under Contracts No. 2020YFA0406300, No. 2020YFA0406400; National Natural Science Foundation of China (NSFC) under Contracts No. 11635010, No. 11735014, No. 11835012, No. 11935015, No. 11935016, No. 11935018, No. 11961141012, No. 12022510, No. 12025502, No. 12035009, No. 12035013, No. 12192260, No. 12192261, No. 12192262, No. 12192263, No. 12192264, No. 12192265; the Chinese Academy of Sciences (CAS) Large-Scale Scientific Facility Program; Joint Large-Scale Scientific Facility Funds of the NSFC and CAS under Contract No. U1832207; the CAS Center for Excellence in Particle Physice (CCEPP); 100 Talents Program of CAS; The Institute of Nuclear and Particle Physics (INPAC) and Shanghai Key Laboratory for Particle Physics and Cosmology; ERC under Contract No. 758462; European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement under Contract No. 894790; German Research Foundation DFG under Contracts No. 443159800, No. 455635585, Collaborative Research Center CRC 1044, FOR5327, GRK 2149; Istituto Nazionale di Fisica Nucleare, Italy; Ministry of Development of Turkey under Contract No. DPT2006K-120470; National Science and Technology fund; National Science Research and Innovation Fund (NSRF) via the Program Management Unit for Human Resources &\& Institutional Development, Research and Innovation under Contract No. B16F640076; Olle Engkvist Foundation under Contract No. 200-0605; STFC (United Kingdom); Suranaree University of Technology (SUT), Thailand Science Research and Innovation (TSRI), and National Science Research and Innovation Fund (NSRF) under Contract No. 160355; The Royal Society, UK under Contracts No. DH140054, No. DH160214; The Swedish Research Council; U. S. Department of Energy under Contract No. DE-FG02-05ER41374.

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