Investigation of the rule and test of CP symmetry through
the measurement of decay asymmetry parameters in decays
M. Ablikim1, M. N. Achasov5,b, P. Adlarson75, X. C. Ai81, R. Aliberti36, A. Amoroso74A,74C, M. R. An40, Q. An71,58, Y. Bai57, O. Bakina37, I. Balossino30A, Y. Ban47,g, V. Batozskaya1,45, K. Begzsuren33, N. Berger36, M. Berlowski45, M. Bertani29A, D. Bettoni30A, F. Bianchi74A,74C, E. Bianco74A,74C, A. Bortone74A,74C, I. Boyko37, R. A. Briere6, A. Brueggemann68, H. Cai76, X. Cai1,58, A. Calcaterra29A, G. F. Cao1,63, N. Cao1,63, S. A. Cetin62A, J. F. Chang1,58, T. T. Chang77, W. L. Chang1,63, G. R. Che44, G. Chelkov37,a, C. Chen44, Chao Chen55, G. Chen1, H. S. Chen1,63, M. L. Chen1,58,63, S. J. Chen43, S. L. Chen46, S. M. Chen61, T. Chen1,63, X. R. Chen32,63, X. T. Chen1,63, Y. B. Chen1,58, Y. Q. Chen35, Z. J. Chen26,h, W. S. Cheng74C, S. K. Choi11A, X. Chu44, G. Cibinetto30A, S. C. Coen4, F. Cossio74C, J. J. Cui50, H. L. Dai1,58, J. P. Dai79, A. Dbeyssi19, R. E. de Boer4, D. Dedovich37, Z. Y. Deng1, A. Denig36, I. Denysenko37, M. Destefanis74A,74C, F. De Mori74A,74C, B. Ding66,1, X. X. Ding47,g, Y. Ding35, Y. Ding41, J. Dong1,58, L. Y. Dong1,63, M. Y. Dong1,58,63, X. Dong76, M. C. Du1, S. X. Du81, Z. H. Duan43, P. Egorov37,a, Y. H. Fan46, J. Fang1,58, S. S. Fang1,63, W. X. Fang1, Y. Fang1, R. Farinelli30A, L. Fava74B,74C, F. Feldbauer4, G. Felici29A, C. Q. Feng71,58, J. H. Feng59, K Fischer69, M. Fritsch4, C. D. Fu1, J. L. Fu63, Y. W. Fu1, H. Gao63, Y. N. Gao47,g, Yang Gao71,58, S. Garbolino74C, I. Garzia30A,30B, P. T. Ge76, Z. W. Ge43, C. Geng59, E. M. Gersabeck67, A Gilman69, K. Goetzen14, L. Gong41, W. X. Gong1,58, W. Gradl36, S. Gramigna30A,30B, M. Greco74A,74C, M. H. Gu1,58, Y. T. Gu16, C. Y Guan1,63, Z. L. Guan23, A. Q. Guo32,63, L. B. Guo42, M. J. Guo50, R. P. Guo49, Y. P. Guo13,f, A. Guskov37,a, T. T. Han50, W. Y. Han40, X. Q. Hao20, F. A. Harris65, K. K. He55, K. L. He1,63, F. H H.. Heinsius4, C. H. Heinz36, Y. K. Heng1,58,63, C. Herold60, T. Holtmann4, P. C. Hong13,f, G. Y. Hou1,63, X. T. Hou1,63, Y. R. Hou63, Z. L. Hou1, H. M. Hu1,63, J. F. Hu56,i, T. Hu1,58,63, Y. Hu1, G. S. Huang71,58, K. X. Huang59, L. Q. Huang32,63, X. T. Huang50, Y. P. Huang1, T. Hussain73, N Hüsken28,36, N. in der Wiesche68, M. Irshad71,58, J. Jackson28, S. Jaeger4, S. Janchiv33, J. H. Jeong11A, Q. Ji1, Q. P. Ji20, X. B. Ji1,63, X. L. Ji1,58, Y. Y. Ji50, X. Q. Jia50, Z. K. Jia71,58, H. J. Jiang76, P. C. Jiang47,g, S. S. Jiang40, T. J. Jiang17, X. S. Jiang1,58,63, Y. Jiang63, J. B. Jiao50, Z. Jiao24, S. Jin43, Y. Jin66, M. Q. Jing1,63, T. Johansson75, X. K.1, S. Kabana34, N. Kalantar-Nayestanaki64, X. L. Kang10, X. S. Kang41, M. Kavatsyuk64, B. C. Ke81, A. Khoukaz68, R. Kiuchi1, R. Kliemt14, O. B. Kolcu62A, B. Kopf4, M. Kuessner4, A. Kupsc45,75, W. Kühn38, J. J. Lane67, P. Larin19, A. Lavania27, L. Lavezzi74A,74C, T. T. Lei71,58, Z. H. Lei71,58, H. Leithoff36, M. Lellmann36, T. Lenz36, C. Li44, C. Li48, C. H. Li40, Cheng Li71,58, D. M. Li81, F. Li1,58, G. Li1, H. Li71,58, H. B. Li1,63, H. J. Li20, H. N. Li56,i, Hui Li44, J. R. Li61, J. S. Li59, J. W. Li50, K. L. Li20, Ke Li1, L. J Li1,63, L. K. Li1, Lei Li3, M. H. Li44, P. R. Li39,j,k, Q. X. Li50, S. X. Li13, T. Li50, W. D. Li1,63, W. G. Li1, X. H. Li71,58, X. L. Li50, Xiaoyu Li1,63, Y. G. Li47,g, Z. J. Li59, Z. X. Li16, C. Liang43, H. Liang1,63, H. Liang35, H. Liang71,58, Y. F. Liang54, Y. T. Liang32,63, G. R. Liao15, L. Z. Liao50, Y. P. Liao1,63, J. Libby27, A. Limphirat60, D. X. Lin32,63, T. Lin1, B. J. Liu1, B. X. Liu76, C. Liu35, C. X. Liu1, F. H. Liu53, Fang Liu1, Feng Liu7, G. M. Liu56,i, H. Liu39,j,k, H. B. Liu16, H. M. Liu1,63, Huanhuan Liu1, Huihui Liu22, J. B. Liu71,58, J. L. Liu72, J. Y. Liu1,63, K. Liu1, K. Y. Liu41, Ke Liu23, L. Liu71,58, L. C. Liu44, Lu Liu44, M. H. Liu13,f, P. L. Liu1, Q. Liu63, S. B. Liu71,58, T. Liu13,f, W. K. Liu44, W. M. Liu71,58, X. Liu39,j,k, Y. Liu39,j,k, Y. Liu81, Y. B. Liu44, Z. A. Liu1,58,63, Z. Q. Liu50, X. C. Lou1,58,63, F. X. Lu59, H. J. Lu24, J. G. Lu1,58, X. L. Lu1, Y. Lu8, Y. P. Lu1,58, Z. H. Lu1,63, C. L. Luo42, M. X. Luo80, T. Luo13,f, X. L. Luo1,58, X. R. Lyu63, Y. F. Lyu44, F. C. Ma41, H. L. Ma1, J. L. Ma1,63, L. L. Ma50, M. M. Ma1,63, Q. M. Ma1, R. Q. Ma1,63, R. T. Ma63, X. Y. Ma1,58, Y. Ma47,g, Y. M. Ma32, F. E. Maas19, M. Maggiora74A,74C, S. Malde69, Q. A. Malik73, A. Mangoni29B, Y. J. Mao47,g, Z. P. Mao1, S. Marcello74A,74C, Z. X. Meng66, J. G. Messchendorp14,64, G. Mezzadri30A, H. Miao1,63, T. J. Min43, R. E. Mitchell28, X. H. Mo1,58,63, N. Yu. Muchnoi5,b, J. Muskalla36, Y. Nefedov37, F. Nerling19,d, I. B. Nikolaev5,b, Z. Ning1,58, S. Nisar12,l, Q. L. Niu39,j,k, W. D. Niu55, Y. Niu 50, S. L. Olsen63, Q. Ouyang1,58,63, S. Pacetti29B,29C, X. Pan55, Y. Pan57, A. Pathak35, P. Patteri29A, Y. P. Pei71,58, M. Pelizaeus4, H. P. Peng71,58, Y. Y. Peng39,j,k, K. Peters14,d, J. L. Ping42, R. G. Ping1,63, S. Plura36, V. Prasad34, F. Z. Qi1, H. Qi71,58, H. R. Qi61, M. Qi43, T. Y. Qi13,f, S. Qian1,58, W. B. Qian63, C. F. Qiao63, J. J. Qin72, L. Q. Qin15, X. P. Qin13,f, X. S. Qin50, Z. H. Qin1,58, J. F. Qiu1, S. Q. Qu61, C. F. Redmer36, K. J. Ren40, A. Rivetti74C, M. Rolo74C, G. Rong1,63, Ch. Rosner19, S. N. Ruan44, N. Salone45, A. Sarantsev37,c, Y. Schelhaas36, K. Schoenning75, M. Scodeggio30A,30B, K. Y. Shan13,f, W. Shan25, X. Y. Shan71,58, J. F. Shangguan55, L. G. Shao1,63, M. Shao71,58, C. P. Shen13,f, H. F. Shen1,63, W. H. Shen63, X. Y. Shen1,63, B. A. Shi63, H. C. Shi71,58, J. L. Shi13, J. Y. Shi1, Q. Q. Shi55, R. S. Shi1,63, X. Shi1,58, J. J. Song20, T. Z. Song59, W. M. Song35,1, Y. J. Song13, Y. X. Song47,g, S. Sosio74A,74C, S. Spataro74A,74C, F. Stieler36, Y. J. Su63, G. B. Sun76, G. X. Sun1, H. Sun63, H. K. Sun1, J. F. Sun20, K. Sun61, L. Sun76, S. S. Sun1,63, T. Sun1,63, W. Y. Sun35, Y. Sun10, Y. J. Sun71,58, Y. Z. Sun1, Z. T. Sun50, Y. X. Tan71,58, C. J. Tang54, G. Y. Tang1, J. Tang59, Y. A. Tang76, L. Y Tao72, Q. T. Tao26,h, M. Tat69, J. X. Teng71,58, V. Thoren75, W. H. Tian59, W. H. Tian52, Y. Tian32,63, Z. F. Tian76, I. Uman62B, S. J. Wang 50, B. Wang1, B. L. Wang63, Bo Wang71,58, C. W. Wang43, D. Y. Wang47,g, F. Wang72, H. J. Wang39,j,k, H. P. Wang1,63, J. P. Wang 50, K. Wang1,58, L. L. Wang1, M. Wang50, Meng Wang1,63, S. Wang13,f, S. Wang39,j,k, T. Wang13,f, T. J. Wang44, W. Wang72, W. Wang59, W. P. Wang71,58, X. Wang47,g, X. F. Wang39,j,k, X. J. Wang40, X. L. Wang13,f, Y. Wang61, Y. D. Wang46, Y. F. Wang1,58,63, Y. H. Wang48, Y. N. Wang46, Y. Q. Wang1, Yaqian Wang18,1, Yi Wang61, Z. Wang1,58, Z. L. Wang72, Z. Y. Wang1,63, Ziyi Wang63, D. Wei70, D. H. Wei15, F. Weidner68, S. P. Wen1, C. W. Wenzel4, U. Wiedner4, G. Wilkinson69, M. Wolke75, L. Wollenberg4, C. Wu40, J. F. Wu1,63, L. H. Wu1, L. J. Wu1,63, X. Wu13,f, X. H. Wu35, Y. Wu71, Y. H. Wu55, Y. J. Wu32, Z. Wu1,58, L. Xia71,58, X. M. Xian40, T. Xiang47,g, D. Xiao39,j,k, G. Y. Xiao43, S. Y. Xiao1, Y. L. Xiao13,f, Z. J. Xiao42, C. Xie43, X. H. Xie47,g, Y. Xie50, Y. G. Xie1,58, Y. H. Xie7, Z. P. Xie71,58, T. Y. Xing1,63, C. F. Xu1,63, C. J. Xu59, G. F. Xu1, H. Y. Xu66, Q. J. Xu17, Q. N. Xu31, W. Xu1,63, W. L. Xu66, X. P. Xu55, Y. C. Xu78, Z. P. Xu43, Z. S. Xu63, F. Yan13,f, L. Yan13,f, W. B. Yan71,58, W. C. Yan81, X. Q. Yan1, H. J. Yang51,e, H. L. Yang35, H. X. Yang1, Tao Yang1, Y. Yang13,f, Y. F. Yang44, Y. X. Yang1,63, Yifan Yang1,63, Z. W. Yang39,j,k, Z. P. Yao50, M. Ye1,58, M. H. Ye9, J. H. Yin1, Z. Y. You59, B. X. Yu1,58,63, C. X. Yu44, G. Yu1,63, J. S. Yu26,h, T. Yu72, X. D. Yu47,g, C. Z. Yuan1,63, L. Yuan2, S. C. Yuan1, X. Q. Yuan1, Y. Yuan1,63, Z. Y. Yuan59, C. X. Yue40, A. A. Zafar73, F. R. Zeng50, X. Zeng13,f, Y. Zeng26,h, Y. J. Zeng1,63, X. Y. Zhai35, Y. C. Zhai50, Y. H. Zhan59, A. Q. Zhang1,63, B. L. Zhang1,63, B. X. Zhang1, D. H. Zhang44, G. Y. Zhang20, H. Zhang71, H. C. Zhang1,58,63, H. H. Zhang59, H. H. Zhang35, H. Q. Zhang1,58,63, H. Y. Zhang1,58, J. Zhang81, J. J. Zhang52, J. L. Zhang21, J. Q. Zhang42, J. W. Zhang1,58,63, J. X. Zhang39,j,k, J. Y. Zhang1, J. Z. Zhang1,63, Jianyu Zhang63, Jiawei Zhang1,63, L. M. Zhang61, L. Q. Zhang59, Lei Zhang43, P. Zhang1,63, Q. Y. Zhang40,81, Shuihan Zhang1,63, Shulei Zhang26,h, X. D. Zhang46, X. M. Zhang1, X. Y. Zhang50, Xuyan Zhang55, Y. Zhang69, Y. Zhang72, Y. T. Zhang81, Y. H. Zhang1,58, Yan Zhang71,58, Yao Zhang1, Z. H. Zhang1, Z. L. Zhang35, Z. Y. Zhang44, Z. Y. Zhang76, G. Zhao1, J. Zhao40, J. Y. Zhao1,63, J. Z. Zhao1,58, Lei Zhao71,58, Ling Zhao1, M. G. Zhao44, S. J. Zhao81, Y. B. Zhao1,58, Y. X. Zhao32,63, Z. G. Zhao71,58, A. Zhemchugov37,a, B. Zheng72, J. P. Zheng1,58, W. J. Zheng1,63, Y. H. Zheng63, B. Zhong42, X. Zhong59, H. Zhou50, L. P. Zhou1,63, X. Zhou76, X. K. Zhou7, X. R. Zhou71,58, X. Y. Zhou40, Y. Z. Zhou13,f, J. Zhu44, K. Zhu1, K. J. Zhu1,58,63, L. Zhu35, L. X. Zhu63, S. H. Zhu70, S. Q. Zhu43, T. J. Zhu13,f, W. J. Zhu13,f, Y. C. Zhu71,58, Z. A. Zhu1,63, J. H. Zou1, J. Zu71,58
(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 Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
6 Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
7 Central China Normal University, Wuhan 430079, People’s Republic of China
8 Central South University, Changsha 410083, People’s Republic of China
9 China Center of Advanced Science and Technology, Beijing 100190, People’s Republic of China
10 China University of Geosciences, Wuhan 430074, People’s Republic of China
11 Chung-Ang University, Seoul, 06974, Republic of Korea
12 COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
13 Fudan University, Shanghai 200433, People’s Republic of China
14 GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
15 Guangxi Normal University, Guilin 541004, People’s Republic of China
16 Guangxi University, Nanning 530004, People’s Republic of China
17 Hangzhou Normal University, Hangzhou 310036, People’s Republic of China
18 Hebei University, Baoding 071002, People’s Republic of China
19 Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
20 Henan Normal University, Xinxiang 453007, People’s Republic of China
21 Henan University, Kaifeng 475004, People’s Republic of China
22 Henan University of Science and Technology, Luoyang 471003, People’s Republic of China
23 Henan University of Technology, Zhengzhou 450001, People’s Republic of China
24 Huangshan College, Huangshan 245000, People’s Republic of China
25 Hunan Normal University, Changsha 410081, People’s Republic of China
26 Hunan University, Changsha 410082, People’s Republic of China
27 Indian Institute of Technology Madras, Chennai 600036, India
28 Indiana University, Bloomington, Indiana 47405, USA
29 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
30 INFN Sezione di Ferrara, (A)INFN Sezione di Ferrara, I-44122, Ferrara, Italy; (B)University of Ferrara, I-44122, Ferrara, Italy
31 Inner Mongolia University, Hohhot 010021, People’s Republic of China
32 Institute of Modern Physics, Lanzhou 730000, People’s Republic of China
33 Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
34 Instituto de Alta Investigación, Universidad de Tarapacá, Casilla 7D, Arica 1000000, Chile
35 Jilin University, Changchun 130012, People’s Republic of China
36 Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
37 Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
38 Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
39 Lanzhou University, Lanzhou 730000, People’s Republic of China
40 Liaoning Normal University, Dalian 116029, People’s Republic of China
41 Liaoning University, Shenyang 110036, People’s Republic of China
42 Nanjing Normal University, Nanjing 210023, People’s Republic of China
43 Nanjing University, Nanjing 210093, People’s Republic of China
44 Nankai University, Tianjin 300071, People’s Republic of China
45 National Centre for Nuclear Research, Warsaw 02-093, Poland
46 North China Electric Power University, Beijing 102206, People’s Republic of China
47 Peking University, Beijing 100871, People’s Republic of China
48 Qufu Normal University, Qufu 273165, People’s Republic of China
49 Shandong Normal University, Jinan 250014, People’s Republic of China
50 Shandong University, Jinan 250100, People’s Republic of China
51 Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
52 Shanxi Normal University, Linfen 041004, People’s Republic of China
53 Shanxi University, Taiyuan 030006, People’s Republic of China
54 Sichuan University, Chengdu 610064, People’s Republic of China
55 Soochow University, Suzhou 215006, People’s Republic of China
56 South China Normal University, Guangzhou 510006, People’s Republic of China
57 Southeast University, Nanjing 211100, People’s Republic of China
58 State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People’s Republic of China
59 Sun Yat-Sen University, Guangzhou 510275, People’s Republic of China
60 Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
61 Tsinghua University, Beijing 100084, People’s Republic of China
62 Turkish Accelerator Center Particle Factory Group, (A)Istinye University, 34010, Istanbul, Turkey; (B)Near East University, Nicosia, North Cyprus, 99138, Mersin 10, Turkey
63 University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
64 University of Groningen, NL-9747 AA Groningen, The Netherlands
65 University of Hawaii, Honolulu, Hawaii 96822, USA
66 University of Jinan, Jinan 250022, People’s Republic of China
67 University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
68 University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
69 University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
70 University of Science and Technology Liaoning, Anshan 114051, People’s Republic of China
71 University of Science and Technology of China, Hefei 230026, People’s Republic of China
72 University of South China, Hengyang 421001, People’s Republic of China
73 University of the Punjab, Lahore-54590, Pakistan
74 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
75 Uppsala University, Box 516, SE-75120 Uppsala, Sweden
76 Wuhan University, Wuhan 430072, People’s Republic of China
77 Xinyang Normal University, Xinyang 464000, People’s Republic of China
78 Yantai University, Yantai 264005, People’s Republic of China
79 Yunnan University, Kunming 650500, People’s Republic of China
80 Zhejiang University, Hangzhou 310027, People’s Republic of China
81 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 75270, Pakistan
Abstract
Using events collected with the
BESIII detector, numerous and decay asymmetry
parameters are simultaneously determined from the process and its charge-conjugate channel. The precisions of
for and for compared to world averages are improved by factors
of 4 and 1.7, respectively. The ratio of decay asymmetry parameters of
to that of , , is
determined to be , where the first
and the second uncertainties are statistical and systematic,
respectively.
The ratio is smaller than unity more than ,
which signifies the existence of the transition
in for the first time.
Besides, we test for CP symmetry in and
in with the best precision to date.
The non-invariance of fundamental interactions under the combination
of charge-conjugation (C) and parity (P) transformations is a
necessary condition for baryogenesis Sakharov (1967), a process
that dynamically generates the matter-antimatter asymmetry in the
universe. Although the Standard Model (SM) accommodates CP violation
with the Kobayashi-Maskawa
phase Cabibbo (1963); Kobayashi and Maskawa (1973), it can only explain a
matter-antimatter asymmetry that is at least ten orders of magnitude
smaller than the observed value Barr et al. (1979). Additional
sources of CP violation beyond the SM are expected to exist, and the
weak hadronic transitions of hyperons are another place to search
for such sources of CP
violation Salone et al. (2022); Donoghue et al. (1986).
When two or more transition amplitudes interfere with each other,
relative weak- and strong-phase contributions exist between them.
For Alavi-Harati et al. (1999); Fanti et al. (1999), the CP violating weak
phase comes from the interference between -wave isospin
() and isospin () amplitudes, which
correspond to and transitions,
respectively Cirigliano et al. (2012). The unforeseen large discrepancy
between the real parts of the two isospin amplitudes, , known as the rule Amhis et al. (2022); Manzari et al. (2021), is a long-standing
puzzle. Various theoretical
models have been proposed to explain this large ratio, but the dual
QCD approach Buras et al. (2014) and lattice QCD
calculation Abbott et al. (2020) can only partially explain it. A
comprehensive understanding of this rule is desirable.
The rule is also applicable in the decays of spin 1/2
hyperons Overseth and Pakvasa (1969); Olsen et al. (1970), which can be described
in terms of its decay asymmetry parameters, and
Lee and Yang (1957). The ratio of decay asymmetry parameters
for the two isospin decay modes and ,
, is a sensitive probe to determine the contribution
of transitions. In their absence, the ratio
is predicted to be unity Olsen et al. (1970). A
recent BESIII result suggests that this might not be the
case Ablikim et al. (2019). Further studies of the isospin
amplitude in hyperon decays is required to rigorously test the rule.
Moreover, contrary to kaon decays, CP-violation in hyperon decays could arise from
the interference between parity-conserving (-wave) and
parity-violating (-wave) amplitudes with a CP-odd weak phase.
The decay asymmetry parameters of hyperon are CP-odd and assuming CP conservation
and , where and
are decay asymmetry parameters for antihyperon Donoghue et al. (1986).
CP symmetry, which is broken in the presence of non-negligible
weak phase contributions, is gauged by the CP-observables
and Ablikim et al. (2022a):
(1)
(2)
where , , denotes the strong
phase difference of the final-state interaction, and
denotes the weak phase difference. Experimentally, the weak phase
difference has been directly determined to be
rad Ablikim et al. (2022a) for
the decay using entangled and
produced at BESIII.
In this Letter, the process is studied
with events Ablikim et al. (2022b)
collected by the BESIII detector. Benefiting from the
transversely-polarized hyperons and the spin correlation between
hyperon and anti-hyperons, various decay properties of and
are determined by an extended formalism that completely
describes the angular distributions of the production and decay
processes Perotti et al. (2019).
The design and performance of the BESIII detector
are described in Refs. Ablikim et al. (2010); Huang et al. (2022). The
corresponding simulation, analysis framework, and software are
presented in Refs. Ping (2008); Deng et al. (2006); Li et al. (2006). Simulated
Monte Carlo (MC) samples are produced with Geant4-based Agostinelli et al. (2003) MC software, which models the
experimental conditions including the electron-positron collision, the
decays of the particles, and the response of the detector. A sample of
simulated events of generic decays, corresponding to the
luminosity of data, is used to study the potential background
reactions. To eliminate experimenter bias, the central values were
blinded by using the hidden answer technique Klein and Roodman (2005) until
all selections, fits, and uncertainty evaluations were finalized.
Simulated signal and background samples are used to verify the
analysis approaches and to study the systematic effects. Unless
otherwise indicated, the charge-conjugate channel is implied
throughout the text.
Four charged tracks are required in the multilayer drift
chamber (MDC) within the range , where
is the polar angle with respect to the -axis, which is the
symmetry axis of the MDC.
Due to the non-overlapping momentum ranges of the proton and
pions, a positively charged track with momentum
greater than GeV/ is assigned to be a proton, while a
positively and two negatively charged tracks with momentum less than
GeV/ are assigned to be pions. The probability of
misidentifying a proton for a is negligible. The sequential
decay is reconstructed by a
vertex fit Xu et al. (2010); Ablikim et al. (2022a), which takes into account the flight paths of the hyperons.
The combination with the smallest is retained, where
denotes the invariant mass of
() and refers to the nominal mass of
() Workman and Others (2022). The probability of a
from the and decays being wrongly assigned
is found to be , which is negligible. The candidate events are
required to satisfy MeV/ and MeV/. The decay lengths of the and are
calculated in the vertex fit and required to be positive. To improve
the resolution and minimize the discrepancy between data and MC
simulation, the polar angle of the reconstructed
in the center-of-mass frame is required to satisfy
.
At least two photon candidates in the electromagnetic calorimeter
(EMC) are required. A photon candidate should have energy greater
than MeV in the barrel region () or
MeV in the end-cap region (). For antiprotons, which may annihilate in the detector, photon
candidates must be separated from charged tracks with an opening angle
greater than , while for other tracks the angle must be
greater than . To suppress electronic noise and showers
unrelated to the event, photon candidates are required to have the
EMC time difference from the event start time within ns.
To veto the showers from antineutron interactions in the EMC, the
photon candidates should be separated from the direction of the recoiling system with an opening angle greater than .
A boosted decision tree (BDT) classifier Therhaag (2010) is constructed based on the
shower shape variables to discriminate a signal photon from a noise
shower. The shower shape variables include the deposited energy,
number of hits, second and Zernike moments, and deposition
shape clu . The signal efficiency of the BDT is
, and of the background is rejected. The
candidates are reconstructed from a pair of photons by constraining
their invariant mass to the nominal mass, and the
corresponding is required to be less than 25. Due to
combinatorial effects, it is possible to have more than one unique
candidate in a single event.
A kinematic fit under the hypothesis of is performed imposing energy-momentum
conservation and constraining the invariant masses of
and to the nominal masses of and
, respectively. The kinematics of the are obtained
from the above vertex fit. The antineutron is treated as a missing
particle with unknown mass. The fit is performed for each
candidate. If there is more than one candidate, the candidate
with the smallest is retained, and is
required. The invariant mass of is
required to satisfy MeV/. Since all other final
state particles are detected, the kinematic fit allows for the reconstruction of
the four momentum of antineutron. The signal is identified by
the antineutron’s missing mass, as shown in Fig. 1 with a
prominent signal peak in the antineutron vicinity and a low level
background.
Detailed studies are performed with MC simulation and data in the
and sideband regions to evaluate the potential
backgrounds. The dominant background, referred to as
combinatorial background, is from signal events with
misreconstructed candidates, which does not peak in the
antineutron missing mass distribution. The remaining background sources
are classified into two categories Zhou et al. (2021): resonant
background that contains intermediate states, such as,
and
; non-resonant background without
intermediate states. The decay processes of
resonant backgrounds are well understood, and the corresponding
contributions are evaluated by MC simulation, which are generated
according to the helicity amplitudes and weighted according to the
branching fractions Workman and Others (2022). MC simulation shows that
the distributions of and
of non-resonant background are almost
flat. Therefore, the corresponding contribution can be evaluated from
the and sideband regions.
Figure 1: Distribution of antineutron missing mass.
The data are shown as black data points with error bars.
The blue solid curve represents the total fit result,
and the red dashed line denotes the signal shape.
The dotted lines in green, light blue and magenta denote the combinatorial,
resonant and non-resonant background contributions, respectively.
The red arrows indicate the signal region.
Signal yields are obtained from an unbinned maximum likelihood fit of
the missing mass distribution. In the fit shown in
Fig. 1, the signal is described by an
MC-simulated shape convolved by a Gaussian function accounting for the
resolution difference between data and MC simulation. The
combinatorial background is described by the signal MC sample, and it
is parameterized by a product of an ARGUS
function Albrecht et al. (1990) and a cubic function. Fixing both
the magnitude and shape, the resonant and non-resonant backgrounds are
described with the MC simulation and data events in the sideband
region, respectively. The normalization of the background and the
definition of the sideband region are shown in Sec. 2 of the
Supplemental Material sup . The fit yields signal events and a purity of in the mass range GeV/. The same procedure is performed for the
charge-conjugate process and results in signal
events and a purity of .
The joint angular amplitude of the full decay chain can be written in
a modular form as
(3)
Here is a real-valued spin density matrix
describing the spin configuration of the entangled
pair, is also a real-valued matrix
representing the propagation of the spin density matrix in the decays
of a spin 1/2 hyperon into a spin 1/2 baryon and a pseudoscalar, . Therefore, the distribution of the nine helicity
angles is determined by eight global
parameters . In this analysis, stands for
, and .
The distribution of the helicity angle in the
rest frame is written as
(4)
by integrating over the remaining eight helicity angles.
The formalism of the full angular distribution and the definition of the reference system are discussed in detail in Ref. Ablikim et al. (2022a).
A simultaneous fit on the joint angular distribution is carried out
with the production parameters, and , and decay asymmetry parameters of
shared between the two charge-conjugate channels. For each
channel, the probability distribution function of the eight unknown
parameters can be defined in terms of the helicity angles
(5)
where the normalization factor is calculated with by a signal MC sample generated with parameters .
The sum runs over all events in the generated sample , which is chosen to be thirty times the yield
obtained in data after the full selection.
The log-likelihood function for observed events is
(6)
where the second term in brackets with from one to three
represents the three different sources of background remaining in the
final event sample. Their contributions are evaluated with the
corresponding MC samples or data events in the sideband region and
their associated weight factors . The global factor,
, corrects for the statistical
uncertainties in the weighted likelihood
fit Langenbruch (2022).
The function is minimized using
Minuit2 Hatlo et al. (2005) to determine the production and
decay asymmetry parameters . The results from the
fit, as shown in Table 1, are consistent with
previous measurements, but with improved precision. In particular,
is almost the same in magnitude and opposite in sign as
, and its precision is improved by a factor of four over
previous measurements.
Table 1: The production and decay asymmetry parameters, the
weak and strong phase differences from decay, the
tests of CP symmetry, and the ratios of decay asymmetry
parameters, and . The
first and second uncertainties are statistical and
systematic, respectively.
If CP is conserved, the product of the decay asymmetry parameters
and should be
equal to each other, and the ratios of helicity angular distributions
for different nucleons in the final states, and , are flat and equal to unity. In a similar way,
if there is no transition in decay,
should be equal to and the ratios, and
, are also flat and equal to
unity. The accuracy of the CP symmetry and the rule
tests can be improved by using the isospin average for , , where stands for
the helicity angle of nucleon, is defined
as , and the average of the decay symmetry
parameters of hyperon and antihyperon for , .
To illustrate the tests of CP symmetry and the rule,
four ratios of the helicity angular distributions for different
nucleons in the final states are shown in Fig. 2 by
dots with error bars. and with parameters
from Table 1 are also presented in
Fig. 2. The ratios obtained by fitting the events in
bins of are in good agreement with the global curves
obtained for and . The nearly flat distribution of
is consistent with CP conservation. The sloping distribution
of indicates the existence of the
contribution of transition in decay.
Figure 2: The ratios of helicity angular
distributions for different nucleons in the final states,
and (top) as well as
and (bottom) versus .
The dots with errors are determined by independent fits for each bin of the corresponding nucleons.
The solid curves in red with 1 (red) and 3 (pink) statistical uncertainty bands show the results of the simultaneous fit.
The dashed curves in black show the CP-conserving and no transition expectations.
The systematic uncertainties are split into different categories:
reconstruction and event selection of the signal candidates, the
uncertainties related to the background contributions, and the effects
which arise from the final fit procedure. The uncertainty of the
reconstruction is investigated by studying the decay as
it has a similar final state topology and decay length as the signal.
The systematic uncertainty from reconstruction is
investigated by using a control sample of .
The systematic uncertainties related to the selection criteria (the
decay points and invariant masses of and , the polar
angle of , the missing mass and the of the kinematic
fit) are studied by varying their required values around the nominal
ones and repeating the fit. The uncertainty due to the combinatorial
background is determined by both smearing the parameters of model and
varying its yield from the fit to the missing mass distribution by .
The uncertainties associated with the resonant backgrounds, which are
propagated from the uncertainties in branching fractions, number of
events and MC sample statistics, are also evaluated by
varying the background yield by . In the case of
non-resonant background, the fit is repeated without this background
component, and the deviation from the nominal fit is taken as the
systematic uncertainty. To estimate the systematic uncertainty of the
fit procedure, 1000 sets of toy MC samples are generated with the
parameters from Table 1. Each set is fitted to
obtain the distribution of the output parameters.
The average values of the
difference between the input and output parameters
and statistical errors of the average differences
are regarded as systematic uncertainties. More details can be found in the
Supplemental Material sup .
In summary, the decay asymmetry parameters listed in
Table 1 are simultaneously determined from the
process and its charge-conjugate channel
with events collected by the
BESIII detector. Using Eq. 1 and Eq. 2, the
CP observables and for
decay, as well as
and of the charged and neutral
decays, are obtained from the corresponding decay asymmetry
parameters and correlations. and are measured with world-leading precision, and
is measured for the first time. The correlations and measured from two
charge-conjugate channels are negligible. The precise CP
symmetry test of the decay is conducted with its isospin
averages, , which
improves the sensitivity of the CP symmetry test by 20% compared to the
individual tests for each isospin decay mode. The strong phase and
weak phase differences of , derived from
Eq. 1 and Eq. 2, are both consistent with
previous BESIII results Ablikim et al. (2022a). The strong phase
difference is also in agreement with the HyperCP
measurement Holmstrom et al. (2004). The CP symmetry is conserved in
the decay of and within the current precision. The
theoretical predictions within the Standard
Model Tandean and Valencia (2003); He et al. (2022) are ,
and .
The ratios of and deviate from
unity by more than standard deviations, which signifies the
existence of the transition in both and
decays for the first time.
Using the averages of the ratio with combinations of the decay rates , Workman and Others (2022) and the
- scattering phase shift Hoferichter et al. (2016), the ratio
of to transitions in -wave is
determined to be , while
in -wave
according to Ref. Salone et al. (2022), where the first uncertainties
are statistical, the second systematic and the third from the input
parameters. The ratio in -wave is consistent
with in within the uncertainty,
while the ratio in -wave is measured for the first time
and found different from that in -wave.
This measurement provides a
constraint for lattice QCD Abbott et al. (2020) and dual
QCD Buras et al. (2014) approach to understand the rule.
The authors thank Professor X.G. He and Professor X. Feng for helpful discussions.
The BESIII Collaboration thanks the staff of BEPCII and the IHEP computing center and the supercomputing center of the University of Science and Technology of China (USTC) for their strong support. This work is supported in part by National Key R&D Program of China under Contracts Nos. 2020YFA0406300, 2020YFA0406400; National Natural Science Foundation of China (NSFC) under Contracts Nos. 11635010, 11735014, 11835012, 11935015, 11935016, 11935018, 11961141012, 12022510, 12025502, 12035009, 12035013, 12061131003, 12192260, 12192261, 12192262, 12192263, 12192264, 12192265, 12221005, 12225509, 12235017, 12122509, 12105276, 11625523; the Chinese Academy of Sciences (CAS) Large-Scale Scientific Facility Program; the CAS Center for Excellence in Particle Physics (CCEPP); Joint Large-Scale Scientific Facility Funds of the NSFC and CAS under Contract No. U1832207, U2032111, U1732263, U1832103; CAS Key Research Program of Frontier Sciences under Contracts Nos. QYZDJ-SSW-SLH003, QYZDJ-SSW-SLH040; 100 Talents Program of CAS; The Institute of Nuclear and Particle Physics (INPAC) and Shanghai Key Laboratory for Particle Physics and Cosmology; 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 Nos. 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 Research Foundation of Korea under Contract No. NRF-2022R1A2C1092335; National Science and Technology fund of Mongolia; National Science Research and Innovation Fund (NSRF) via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation of Thailand under Contract No. B16F640076; Polish National Science Centre under Contract No. 2019/35/O/ST2/02907; The Swedish Research Council; U. S. Department of Energy under Contract No. DE-FG02-05ER41374; Olle Engkvist Foundation under Contract No. 200-0605 and Lundström-Åman Foundation.
(31)The deposited energy is the total
cluster energy of a shower denoted as . The hit number is the
total number of the ignited crystals of a shower denoted as . The
secondary moment is defined as .
The Zernike moment () is defined as with the coefficient , where
and are the radial and angular separation of crystal with
respect to the cluster center, is the th ignited crystals and
is a cutoff radius of 15 cm. The deposition shape is defined as
and , where are the deposited energies in crystals around the
cluster seed.