M. Ablikim1, M. N. Achasov11,b, P. Adlarson70, M. Albrecht4, R. Aliberti31, A. Amoroso69A,69C, M. R. An35, Q. An66,53, X. H. Bai61, Y. Bai52, O. Bakina32, R. Baldini Ferroli26A, I. Balossino27A, Y. Ban42,g, V. Batozskaya1,40, D. Becker31, K. Begzsuren29, N. Berger31, M. Bertani26A, D. Bettoni27A, F. Bianchi69A,69C, J. Bloms63, A. Bortone69A,69C, I. Boyko32, R. A. Briere5, A. Brueggemann63, H. Cai71, X. Cai1,53, A. Calcaterra26A, G. F. Cao1,58, N. Cao1,58, S. A. Cetin57A, J. F. Chang1,53, W. L. Chang1,58, G. Chelkov32,a, C. Chen39, Chao Chen50, G. Chen1, H. S. Chen1,58, M. L. Chen1,53, S. J. Chen38, S. M. Chen56, T. Chen1, X. R. Chen28,58, X. T. Chen1, Y. B. Chen1,53, Z. J. Chen23,h, W. S. Cheng69C, S. K. Choi 50, X. Chu39, G. Cibinetto27A, F. Cossio69C, J. J. Cui45, H. L. Dai1,53, J. P. Dai73, A. Dbeyssi17, R. E. de Boer4, D. Dedovich32, Z. Y. Deng1, A. Denig31, I. Denysenko32, M. Destefanis69A,69C, F. De Mori69A,69C, Y. Ding36, J. Dong1,53, L. Y. Dong1,58, M. Y. Dong1,53,58, X. Dong71, S. X. Du75, P. Egorov32,a, Y. L. Fan71, J. Fang1,53, S. S. Fang1,58, W. X. Fang1, Y. Fang1, R. Farinelli27A, L. Fava69B,69C, F. Feldbauer4, G. Felici26A, C. Q. Feng66,53, J. H. Feng54, K Fischer64, M. Fritsch4, C. Fritzsch63, C. D. Fu1, H. Gao58, Y. N. Gao42,g, Yang Gao66,53, S. Garbolino69C, I. Garzia27A,27B, P. T. Ge71, Z. W. Ge38, C. Geng54, E. M. Gersabeck62, A Gilman64, K. Goetzen12, L. Gong36, W. X. Gong1,53, W. Gradl31, M. Greco69A,69C, L. M. Gu38, M. H. Gu1,53, Y. T. Gu14, C. Y Guan1,58, A. Q. Guo28,58, L. B. Guo37, R. P. Guo44, Y. P. Guo10,f, A. Guskov32,a, T. T. Han45, W. Y. Han35, X. Q. Hao18, F. A. Harris60, K. K. He50, K. L. He1,58, F. H. Heinsius4, C. H. Heinz31, Y. K. Heng1,53,58, C. Herold55, G. Y. Hou1,58, Y. R. Hou58, Z. L. Hou1, H. M. Hu1,58, J. F. Hu51,i, T. Hu1,53,58, Y. Hu1, G. S. Huang66,53, K. X. Huang54, L. Q. Huang28,58, X. T. Huang45, Y. P. Huang1, Z. Huang42,g, T. Hussain68, N Hüsken25,31, W. Imoehl25, M. Irshad66,53, J. Jackson25, S. Jaeger4, S. Janchiv29, E. Jang50, J. H. Jeong50, Q. Ji1, Q. P. Ji18, X. B. Ji1,58, X. L. Ji1,53, Y. Y. Ji45, Z. K. Jia66,53, H. B. Jiang45, S. S. Jiang35, X. S. Jiang1,53,58, Y. Jiang58, J. B. Jiao45, Z. Jiao21, S. Jin38, Y. Jin61, M. Q. Jing1,58, T. Johansson70, N. Kalantar-Nayestanaki59, X. S. Kang36, R. Kappert59, M. Kavatsyuk59, B. C. Ke75, I. K. Keshk4, A. Khoukaz63, R. Kiuchi1, R. Kliemt12, L. Koch33, O. B. Kolcu57A, B. Kopf4, M. Kuemmel4, M. Kuessner4, A. Kupsc40,70, W. Kühn33, J. J. Lane62, J. S. Lange33, P. Larin17, A. Lavania24, L. Lavezzi69A,69C, Z. H. Lei66,53, H. Leithoff31, M. Lellmann31, T. Lenz31, C. Li39, C. Li43, C. H. Li35, Cheng Li66,53, D. M. Li75, F. Li1,53, G. Li1, H. Li47, H. Li66,53, H. B. Li1,58, H. J. Li18, H. N. Li51,i, J. Q. Li4, J. S. Li54, J. W. Li45, Ke Li1, L. J Li1, L. K. Li1, Lei Li3, M. H. Li39, P. R. Li34,j,k, S. X. Li10, S. Y. Li56, T. Li45, W. D. Li1,58, W. G. Li1, X. H. Li66,53, X. L. Li45, Xiaoyu Li1,58, Y. G. Li42,g, Z. X. Li14, H. Liang1,58, H. Liang30, H. Liang66,53, Y. F. Liang49, Y. T. Liang28,58, G. R. Liao13, L. Z. Liao45, J. Libby24, A. Limphirat55, C. X. Lin54, D. X. Lin28,58, T. Lin1, B. J. Liu1, C. X. Liu1, D. Liu17,66, F. H. Liu48, Fang Liu1, Feng Liu6, G. M. Liu51,i, H. Liu34,j,k, H. B. Liu14, H. M. Liu1,58, Huanhuan Liu1, Huihui Liu19, J. B. Liu66,53, J. L. Liu67, J. Y. Liu1,58, K. Liu1, K. Y. Liu36, Ke Liu20, L. Liu66,53, Lu Liu39, M. H. Liu10,f, P. L. Liu1, Q. Liu58, S. B. Liu66,53, T. Liu10,f, W. K. Liu39, W. M. Liu66,53, X. Liu34,j,k, Y. Liu34,j,k, Y. B. Liu39, Z. A. Liu1,53,58, Z. Q. Liu45, X. C. Lou1,53,58, F. X. Lu54, H. J. Lu21, J. G. Lu1,53, X. L. Lu1, Y. Lu7, Y. P. Lu1,53, Z. H. Lu1, C. L. Luo37, M. X. Luo74, T. Luo10,f, X. L. Luo1,53, X. R. Lyu58, Y. F. Lyu39, F. C. Ma36, H. L. Ma1, L. L. Ma45, M. M. Ma1,58, Q. M. Ma1, R. Q. Ma1,58, R. T. Ma58, X. Y. Ma1,53, Y. Ma42,g, F. E. Maas17, M. Maggiora69A,69C, S. Maldaner4, S. Malde64, Q. A. Malik68, A. Mangoni26B, Y. J. Mao42,g, Z. P. Mao1, S. Marcello69A,69C, Z. X. Meng61, J. Messchendorp12,59, G. Mezzadri27A, H. Miao1, T. J. Min38, R. E. Mitchell25, X. H. Mo1,53,58, N. Yu. Muchnoi11,b, Y. Nefedov32, F. Nerling17,d, I. B. Nikolaev11,b, Z. Ning1,53, S. Nisar9,l, Y. Niu 45, S. L. Olsen58, Q. Ouyang1,53,58, S. Pacetti26B,26C, X. Pan10,f, Y. Pan52, A. Pathak30, M. Pelizaeus4, H. P. Peng66,53, K. Peters12,d, J. L. Ping37, R. G. Ping1,58, S. Plura31, S. Pogodin32, V. Prasad66,53, F. Z. Qi1, H. Qi66,53, H. R. Qi56, M. Qi38, T. Y. Qi10,f, S. Qian1,53, W. B. Qian58, Z. Qian54, C. F. Qiao58, J. J. Qin67, L. Q. Qin13, X. P. Qin10,f, X. S. Qin45, Z. H. Qin1,53, J. F. Qiu1, S. Q. Qu56, K. H. Rashid68, C. F. Redmer31, K. J. Ren35, A. Rivetti69C, V. Rodin59, M. Rolo69C, G. Rong1,58, Ch. Rosner17, S. N. Ruan39, H. S. Sang66, A. Sarantsev32,c, Y. Schelhaas31, C. Schnier4, K. Schoenning70, M. Scodeggio27A,27B, K. Y. Shan10,f, W. Shan22, X. Y. Shan66,53, J. F. Shangguan50, L. G. Shao1,58, M. Shao66,53, C. P. Shen10,f, H. F. Shen1,58, X. Y. Shen1,58, B. A. Shi58, H. C. Shi66,53, J. Y. Shi1, Q. Q. Shi50, R. S. Shi1,58, X. Shi1,53, X. D Shi66,53, J. J. Song18, W. M. Song30,1, Y. X. Song42,g, S. Sosio69A,69C, S. Spataro69A,69C, F. Stieler31, K. X. Su71, P. P. Su50, Y. J. Su58, G. X. Sun1, H. Sun58, H. K. Sun1, J. F. Sun18, L. Sun71, S. S. Sun1,58, T. Sun1,58, W. Y. Sun30, X Sun23,h, Y. J. Sun66,53, Y. Z. Sun1, Z. T. Sun45, Y. H. Tan71, Y. X. Tan66,53, C. J. Tang49, G. Y. Tang1, J. Tang54, L. Y Tao67, Q. T. Tao23,h, M. Tat64, J. X. Teng66,53, V. Thoren70, W. H. Tian47, Y. Tian28,58, I. Uman57B, B. Wang1, B. L. Wang58, C. W. Wang38, D. Y. Wang42,g, F. Wang67, H. J. Wang34,j,k, H. P. Wang1,58, K. Wang1,53, L. L. Wang1, M. Wang45, M. Z. Wang42,g, Meng Wang1,58, S. Wang13, S. Wang10,f, T. Wang10,f, T. J. Wang39, W. Wang54, W. H. Wang71, W. P. Wang66,53, X. Wang42,g, X. F. Wang34,j,k, X. L. Wang10,f, Y. Wang56, Y. D. Wang41, Y. F. Wang1,53,58, Y. H. Wang43, Y. Q. Wang1, Yaqian Wang16,1, Z. Wang1,53, Z. Y. Wang1,58, Ziyi Wang58, D. H. Wei13, F. Weidner63, S. P. Wen1, D. J. White62, U. Wiedner4, G. Wilkinson64, M. Wolke70, L. Wollenberg4, J. F. Wu1,58, L. H. Wu1, L. J. Wu1,58, X. Wu10,f, X. H. Wu30, Y. Wu66, Y. J Wu28, Z. Wu1,53, L. Xia66,53, T. Xiang42,g, D. Xiao34,j,k, G. Y. Xiao38, H. Xiao10,f, S. Y. Xiao1, Y. L. Xiao10,f, Z. J. Xiao37, C. Xie38, X. H. Xie42,g, Y. Xie45, Y. G. Xie1,53, Y. H. Xie6, Z. P. Xie66,53, T. Y. Xing1,58, C. F. Xu1, C. J. Xu54, G. F. Xu1, H. Y. Xu61, Q. J. Xu15, X. P. Xu50, Y. C. Xu58, Z. P. Xu38, F. Yan10,f, L. Yan10,f, W. B. Yan66,53, W. C. Yan75, H. J. Yang46,e, H. L. Yang30, H. X. Yang1, L. Yang47, S. L. Yang58, Tao Yang1, Y. F. Yang39, Y. X. Yang1,58, Yifan Yang1,58, M. Ye1,53, M. H. Ye8, J. H. Yin1, Z. Y. You54, B. X. Yu1,53,58, C. X. Yu39, G. Yu1,58, T. Yu67, X. D. Yu42,g, C. Z. Yuan1,58, L. Yuan2, S. C. Yuan1, X. Q. Yuan1, Y. Yuan1,58, Z. Y. Yuan54, C. X. Yue35, A. A. Zafar68, F. R. Zeng45, X. Zeng6, Y. Zeng23,h, Y. H. Zhan54, A. Q. Zhang1, B. L. Zhang1, B. X. Zhang1, D. H. Zhang39, G. Y. Zhang18, H. Zhang66, H. H. Zhang54, H. H. Zhang30, H. Y. Zhang1,53, J. L. Zhang72, J. Q. Zhang37, J. W. Zhang1,53,58, J. X. Zhang34,j,k, J. Y. Zhang1, J. Z. Zhang1,58, Jianyu Zhang1,58, Jiawei Zhang1,58, L. M. Zhang56, L. Q. Zhang54, Lei Zhang38, P. Zhang1, Q. Y. Zhang35,75, Shuihan Zhang1,58, Shulei Zhang23,h, X. D. Zhang41, X. M. Zhang1, X. Y. Zhang50, X. Y. Zhang45, Y. Zhang64, Y. T. Zhang75, Y. H. Zhang1,53, Yan Zhang66,53, Yao Zhang1, Z. H. Zhang1, Z. Y. Zhang71, Z. Y. Zhang39, G. Zhao1, J. Zhao35, J. Y. Zhao1,58, J. Z. Zhao1,53, Lei Zhao66,53, Ling Zhao1, M. G. Zhao39, Q. Zhao1, S. J. Zhao75, Y. B. Zhao1,53, Y. X. Zhao28,58, Z. G. Zhao66,53, A. Zhemchugov32,a, B. Zheng67, J. P. Zheng1,53, Y. H. Zheng58, B. Zhong37, C. Zhong67, X. Zhong54, H. Zhou45, L. P. Zhou1,58, X. Zhou71, X. K. Zhou58, X. R. Zhou66,53, X. Y. Zhou35, Y. Z. Zhou10,f, J. Zhu39, K. Zhu1, K. J. Zhu1,53,58, L. X. Zhu58, S. H. Zhu65, S. Q. Zhu38, T. J. Zhu72, W. J. Zhu10,f, Y. C. Zhu66,53, Z. A. Zhu1,58, B. S. Zou1, J. H. Zou1(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 COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
10 Fudan University, Shanghai 200433, People’s Republic of China
11 G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
12 GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
13 Guangxi Normal University, Guilin 541004, People’s Republic of China
14 Guangxi University, Nanning 530004, People’s Republic of China
15 Hangzhou Normal University, Hangzhou 310036, People’s Republic of China
16 Hebei University, Baoding 071002, People’s Republic of China
17 Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
18 Henan Normal University, Xinxiang 453007, People’s Republic of China
19 Henan University of Science and Technology, Luoyang 471003, People’s Republic of China
20 Henan University of Technology, Zhengzhou 450001, People’s Republic of China
21 Huangshan College, Huangshan 245000, People’s Republic of China
22 Hunan Normal University, Changsha 410081, People’s Republic of China
23 Hunan University, Changsha 410082, People’s Republic of China
24 Indian Institute of Technology Madras, Chennai 600036, India
25 Indiana University, Bloomington, Indiana 47405, USA
26 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
27 INFN Sezione di Ferrara, (A)INFN Sezione di Ferrara, I-44122, Ferrara, Italy; (B)University of Ferrara, I-44122, Ferrara, Italy
28 Institute of Modern Physics, Lanzhou 730000, People’s Republic of China
29 Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
30 Jilin University, Changchun 130012, People’s Republic of China
31 Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
32 Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
33 Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
34 Lanzhou University, Lanzhou 730000, People’s Republic of China
35 Liaoning Normal University, Dalian 116029, People’s Republic of China
36 Liaoning University, Shenyang 110036, People’s Republic of China
37 Nanjing Normal University, Nanjing 210023, People’s Republic of China
38 Nanjing University, Nanjing 210093, People’s Republic of China
39 Nankai University, Tianjin 300071, People’s Republic of China
40 National Centre for Nuclear Research, Warsaw 02-093, Poland
41 North China Electric Power University, Beijing 102206, People’s Republic of China
42 Peking University, Beijing 100871, People’s Republic of China
43 Qufu Normal University, Qufu 273165, People’s Republic of China
44 Shandong Normal University, Jinan 250014, People’s Republic of China
45 Shandong University, Jinan 250100, People’s Republic of China
46 Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
47 Shanxi Normal University, Linfen 041004, People’s Republic of China
48 Shanxi University, Taiyuan 030006, People’s Republic of China
49 Sichuan University, Chengdu 610064, People’s Republic of China
50 Soochow University, Suzhou 215006, People’s Republic of China
51 South China Normal University, Guangzhou 510006, People’s Republic of China
52 Southeast University, Nanjing 211100, People’s Republic of China
53 State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People’s Republic of China
54 Sun Yat-Sen University, Guangzhou 510275, People’s Republic of China
55 Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
56 Tsinghua University, Beijing 100084, People’s Republic of China
57 Turkish Accelerator Center Particle Factory Group, (A)Istinye University, 34010, Istanbul, Turkey; (B)Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
58 University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
59 University of Groningen, NL-9747 AA Groningen, The Netherlands
60 University of Hawaii, Honolulu, Hawaii 96822, USA
61 University of Jinan, Jinan 250022, People’s Republic of China
62 University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
63 University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
64 University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
65 University of Science and Technology Liaoning, Anshan 114051, People’s Republic of China
66 University of Science and Technology of China, Hefei 230026, People’s Republic of China
67 University of South China, Hengyang 421001, People’s Republic of China
68 University of the Punjab, Lahore-54590, Pakistan
69 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
70 Uppsala University, Box 516, SE-75120 Uppsala, Sweden
71 Wuhan University, Wuhan 430072, People’s Republic of China
72 Xinyang Normal University, Xinyang 464000, People’s Republic of China
73 Yunnan University, Kunming 650500, People’s Republic of China
74 Zhejiang University, Hangzhou 310027, People’s Republic of China
75 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
Based on 7.33 fb-1 of collision data taken at center-of-mass energies between 4.128 and 4.226 GeV with the BESIII detector, we measure
the branching fraction of relative to that of to be
.
The first uncertainty is statistical and the second one is systematic.
By using the world average value of the branching fraction of ,
we determine the branching fractions of and
to be and , respectively.
I Introduction
The excited strange charmed meson, , is formed from quark-antiquark pair.
Throughout this paper, charge-conjugate states are always included.
The decays are dominated by the radiative process and the isospin-violating hadronic process due to the quark SU(2) flavor breaking and isospin violating effects.
Measurements of the branching fractions (BFs) of the decays are important to explore
quantum chromodynamics (QCD) Fritzsch:1973pi describing the strong interaction.
The decay widths of and/or have been theoretically predicted based on effective models,
e.g. chiral perturbation theory (PT) Yang:2019cat ; Cheng:1993kp ; Cho:1994zu ; Wang:2019mhm , the light-front quark model (LFQM) Choi:2007us , the relativistic quark model (RQM)Goity:2000dk , QCD sum rules (QCDSR) Aliev:1994nq ; Yu:2015xwa ,
the Nambu-Jona-Lasinio model (NJLM) Deng:2013uca , lattice QCD (LQCD) Donald:2013sra , the non-relativistic quark model (NRQM) Kamal:1992uv ; Fayyazuddin:1993eb ,
and the covariant model (CM) Cheung:2015rya .
The BF of relative to that of has been measured by
using collision data accumulated at the and by the CLEO cleo2 and BaBar babar2 experiments.
The precision of the world average of the BF of is about 0.7% pdg2022 .
Precision measurements of these BFs help to constrain the model parameters, thereby improving the
effective models. In addition, the BFs are important inputs in the precise
determination of the decay constant and the CKM matrix element via the processes.
In this paper, we report an improved measurement of the BF of relative to
and then determine the BFs of and .
This analysis is carried out by using 7.33 fb-1 of collision data taken at center-of-mass energies between 4.128 and 4.226 GeV with the BESIII detector.
II BESIII detector and Monte Carlo
The BESIII detector Ablikim:2009aa records symmetric collisions
provided by the BEPCII storage ring Yu:IPAC2016-TUYA01 in the center-of-mass energy range from 2.0 to 4.95 GeV, with a peak luminosity of cm-2s-1 achieved at .
BESIII has collected large data samples in this energy region Ablikim:2019hff . BESIII is a cylindrical spectrometer with a geometrical acceptance of over the solid angle. It 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 magnetic field. The solenoid is supported by an
octagonal flux-return yoke with resistive plate counter muon
identifier modules interleaved with steel Huang:geometry .
The charged particle momentum resolution is at 1 GeV/, and the specific energy loss (d/d) resolution is for the electrons
from Bhabha scattering. The EMC measures photon energies with a
resolution of () at GeV in the barrel (end-cap)
region. The time resolution in the TOF barrel region is 68 ps. The end-cap TOF
system was upgraded in 2015 using multi-gap resistive plate chamber
technology, providing a time resolution of
60 ps etof . Approximately 83% of the data used here was collected after this upgrade; luminosities lumi at each energy are given in Table 1.
Simulated data samples are produced with a geant4-based geant4 Monte Carlo (MC) toolkit
including the geometric description of the BESIII detector and the
detector response. The simulation includes the beam
energy spread and initial state radiation (ISR) in the
annihilations with the generator kkmcref:kkmc .
In the MC simulation, the production of open-charm
processes directly produced via annihilations are modelled with the generator conexcref:conexc .
The ISR production of vector charmonium(-like) states
and the continuum processes are incorporated in kkmcref:kkmc .
All particle decays are modelled with evtgenref:evtgen using BFs
either taken from the
Particle Data Group pdg2022 , when available,
or otherwise estimated with lundcharmref:lundcharm .
Final state radiation (FSR)
from charged final state particles is incorporated using photosphotos .
The input cross section line shape of
is based on the results in Ref. crsDsDss .
In this analysis, the inclusive MC sample, which is generated at various energy points and has an integrated luminosity of 40 times individual data sets, is used to determine detection efficiencies
and to estimate background contributions.
III Event selection
At the center-of-mass energies between 4.128 and 4.226 GeV,
pairs are produced copiously by collisions.
The mesons decay predominantly via and .
Candidate events are selected by reconstructing and mesons via hadronic decay modes.
To obtain better momentum resolution and lower background contamination, we use three modes of
versus ,
versus ,
and versus ,
which are labelled as modes I, II, and III, respectively.
In order to improve detection efficiencies, no transition photon or from the decay is required.
Charged tracks detected in the MDC are required to be within a polar angle () range of , where is defined with respect to the -axis, which is the symmetry axis of the MDC. For charged tracks not originating from decays, the distance of closest approach to the interaction point (IP) must be less than 10 cm along the -axis, , and less than 1 cm in the transverse plane, . No additional charged track passing the and IP cuts is allowed for selected candidates. Particle identification (PID) for charged tracks combines measurements of the d/d in the MDC and the flight time in the TOF to form likelihoods for charged pion and kaon hypotheses, and .
Pion candidates are required to satisfy and ,
and kaon candidates are required to satisfy and .
The candidates are reconstructed via the decay .
The two charged pions are required to satisfy cm and but no particle identification is applied.
The invariant mass is required to be within the interval GeV/.
A vertex fit is performed, constraining the two tracks to originate from a common vertex, and the decay length of candidates is required to be greater than twice the resolution.
To suppress non- events, the beam-constrained mass of the candidate
(1)
is required to be within the intervals as shown in Table 1. Here, is the beam energy and is the three-momentum of the reconstructed candidate in the center-of-mass frame. In each event, we only keep one candidate per tag mode per charge, selecting the one with the recoil mass
(2)
closest to the nominal mass pdg2022 .
The candidate is selected in the presence of the tag .
If there are multiple combinations in an event, the one giving the minimum is retained for further analysis.
Here is the invariant mass of the candidate and is the nominal mass pdg2022 .
Figure 1 shows the distribution of vs. of the accepted candidates in data.
To suppress background, the invariant masses of and combinations
are required to be within the interval GeV/.
Table 1: The integrated luminosity and requirement for each energy () point.
(GeV)
Luminosity (pb-1)
(GeV/)
4.128
401.5
[2.010, 2.061]
4.157
408.7
[2.010, 2.070]
4.178
3189.0
[2.010, 2.073]
4.189
569.8
[2.010, 2.076]
4.199
526.0
[2.010, 2.079]
4.209
571.7
[2.010, 2.082]
4.219
568.7
[2.010, 2.085]
4.226
1091.7
[2.010, 2.088]
To improve momentum resolution, a two-constraint (2C) kinematic fit, in which the invariant mass of the or combination is constrained to the known mass pdg2022 is performed.
The momenta updated by the kinematic fit are kept for further analysis.
To separate the and candidates,
we define the missing mass squared of the reconstructed combination as
(3)
where and are the energy and momentum of in the center-of-mass system, respectively.
The resultant distribution of the accepted candidate combinations is shown in Fig. 2,
where the peak near to zero and its right-side peak correspond to and candidates, respectively.
Fig. 1: The distribution of vs. summing over modes I, II, and III in data.
The red rectangle denotes the signal region.
Fig. 2: The distributions
of the accepted candidates, summing over
modes I, II, and III. The points with error bars are data, the
open red histograms are the scaled signal MC events, and the filled green histograms are normalized
background events from the inclusive MC sample.
The blue vertical arrow shows the dividing line for and candidates; for the filled green histogram, the small peaking background around zero is from the process, and the open red and magenta histograms are the signals of and , respectively.
IV Branching fractions
Following Ref. songwm , the BF of relative to the sum of and is determined by
(4)
where
and are the numbers
of produced and
events, respectively.
This ratio captures the binomial nature of the separation of the
low-background signal into the two decays under study.
As shown in Fig. 2, the individual signal regions of are defined as and GeV2/
for and , respectively.
The dividing line accepts about 99.0% of the signal and about 98.5% of the signal.
Due to the overlapping distributions, some events can be misidentified as , and vice versa.
To account for this effect, the yields of and are obtained by solving the following
equation
(5)
where is the number of selected events in data by counting,
is the number of background events estimated from the inclusive MC sample;
is the efficiency of the generated
events selected as ,
where and denote or .
Both are simulated.
The background rates estimated from the inclusive MC sample for modes I, II, and III are all less than 1.5%.
To consider different detection efficiencies for ISR and FSR effects,
the detection efficiencies at various energy points have been weighted by individual single tag yields in data.
Table 2 lists the quantities used for the measurements and the results obtained.
Weighting the results for modes I, II, and III by their inverse statistical uncertainties squared, we obtain their average .
Table 2:
The quantities used for measurements and the obtained results.
The average result is weighted over modes I, II, and III by their inverse statistical uncertainties squared.
The uncertainties are statistical only.
Mode
I
II
III
Average
V Systematic uncertainties
The systematic uncertainties in the BF measurements are discussed below.
The systematic uncertainty due to resolution is examined in the following procedure.
We perform a fit to distribution of data. To take into account the resolution difference between data and MC, a signal MC shape smeared with a Gaussian function is used.
From the fit, we obtain the parameters (means, widths) of the Gaussian resolution functions, which are
, , and MeV2/ for modes I, II, and III, respectively.
The change of BF before and after smearing the Gaussian resolution function to the distribution of the signal MC events, 0.07%, is taken as the associated systematic uncertainty.
The systematic uncertainty caused by the statistical uncertainty of the MC efficiencies is estimated by varying
each of the efficiency matrix elements by .
The largest change of the BF is taken as the systematic uncertainty.
The systematic uncertainty from background estimation is considered in two parts.
The number of background events is calculated from the inclusive MC
sample. The corresponding systematic uncertainty is estimated from the uncertainties of the cross sections used in generating this sample. The dominant background events are from open charm processes of and . The systematic uncertainty is estimated by varying
the cross sections and BFs of the hadronic decays by .
This effect on the BF measurement is negligible.
In addition, we have also varied the simulated background events by the ratio of the background events
observed in the sideband regions between data and the inclusive MC sample.
The change of the BF, 0.10%, is taken as the corresponding systematic uncertainty.
Other possible systematic uncertainty sources, such as the ISR simulation,
the kinematic fit, the tracking and the particle identification efficiencies between the two decay modes of , the requirement and the range, have also been investigated.
All of them are negligible.
All systematic uncertainties are summarized in Table 3.
Assuming the systematic uncertainties from different sources are independent,
the total systematic uncertainty is obtained to be 0.17% by adding all the sources quadratically.
VI Summary
By analyzing 7.33 fb-1 of collision data taken at center-of-mass energies between
4.128 and 4.226 GeV,
we measure the BF of relative to the sum of and to be . This gives the BF of relative to that of to be
.
The is known to decay dominantly into three final states of , and Cheung:2015rya . Combining
the world average of pdg2022 , we obtain
and .
Figure 3 shows the comparison of the measured BF of with other experiments and the
world average value pdg2022 . Our measurement is well consistent with the
previous ones but with better precision.
Table 4 shows comparisons of the BFs measured in this work with the world average values and the decay widths or BFs predicted by various theories.
Our results of and are consistent with those predicted in Ref. Cheung:2015rya .
At present, only limits on the width have been reported.
More experimental measurements and theoretical calculations of the decays will be beneficial to
give quantitative tests on the predicted partial decay widths, thereby better understand the radiative and strong decays of . As necessary inputs, the reported BFs with much improved precision are also important for the precise measurements of and by using the reactions of .
Table 3: Relative systematic uncertainties in the determination of .
Source
Uncertainty
resolution
0.07
MC statistics
0.12
Background
0.10
Sum
0.17
Fig. 3: Comparison of measured by this work and previous experiments.
The points with error bars are from different experiments.
For each experiment, the shorter error bar denotes statistical only
while the longer error bar combines both statistical and systematic uncertainties.
The green band corresponds to the limit of the world average.
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 Nos. 2020YFA0406400, 2020YFA0406300; National Natural Science Foundation of China (NSFC) under Contracts Nos. 11635010, 11735014, 11835012, 11935015, 11935016, 11935018, 11961141012, 12022510, 12025502, 12035009, 12035013, 12192260, 12192261, 12192262, 12192263, 12192264, 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, U1932102; 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 Nos. 443159800, Collaborative Research Center CRC 1044, 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; 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 Nos. DH140054, DH160214; The Swedish Research Council; U. S. Department of Energy under Contract No. DE-FG02-05ER41374.
Table 4: Comparisons of the partial widths () and BFs (in brackets). The decay widths are in units of keV. The first two rows are from this work and the PDG, while the others are from various theoretical predictions.
The superscript a denotes the value corresponding to , GeV-1, and GeV;
b denotes the values for a linear model;
c denotes the value for ; and
d denotes the values for model.
(23)
M. Ablikim et al. (BESIII Collaboration),
Chin. Phys. C 39, 093001 (2015);
Chin. Phys. C 46, 113002 (2022).
These articles described the integrated luminosity measurement for
data taken at , and GeV.
The integrated luminosity values for the other data samples
have been obtained by a similar procedure.