Evidence for $Z_{c}^{\pm}$ decays into the $\rho^{\pm} \eta_{c}$ final state
M. Ablikim, M. N. Achasov, S. Ahmed, M. Albrecht, M. Alekseev, A., Amoroso, F. F. An, Q. An, Y. Bai, O. Bakina, R. Baldini Ferroli, Y. Ban, K., Begzsuren, D. W. Bennett, J. V. Bennett, N. Berger, M. Bertani, D. Bettoni,, F. Bianchi, E. Boger, I. Boyko, R. A. Briere, H. Cai

TL;DR
This study reports evidence for the decay of the exotic $Z_c^{\u00b1}$ states into $ ho^{b1}\u03b5_c$, measuring the cross section at specific energies and setting upper limits at others, aiding understanding of their nature.
Contribution
First evidence of $Z_c^{b1} o ho^{b1}\u03b5_c$ decay, with measured cross section and ratios to other decay modes, providing new insights into the structure of these exotic states.
Findings
Evidence for $Z_c^{b1} o ho^{b1}\u03b5_c$ at 4.226 GeV with 3.9$\sigma$ significance.
Measured cross section times branching fraction: $(48 \u00b1 11 \u00b1 11)$ pb.
Upper limits set at other energies; ratios of decay modes used to test theoretical models.
Abstract
We study collisions with a final state using data samples collected with the BESIII detector at center-of-mass energies , , , , and GeV. Evidence for the decay is reported with a statistical significance of with various systematic uncertainties taken into account at GeV, and the Born cross section times branching fraction is measured to be . The signal is not significant at the other center-of-mass energies and the corresponding upper limits are determined. In addition, no significant signal is observed in a search for with the same data samples. The ratios $R_{\zc}=\BR(\zcpm\to \rho^{\pm}…
| () | ||||||
|---|---|---|---|---|---|---|
| 4.226 | 1091.7 | 0.74 | 1.056 | 0.82 | ||
| 4.258 | 825.7 | 0.76 | 1.054 | 0.80 | ( ) | |
| 4.358 | 539.8 | 1.03 | 1.051 | 0.62 | ( ) | |
| 4.416 | 1073.6 | 1.15 | 1.053 | 0.49 | ( ) | |
| 4.600 | 566.9 | 1.32 | 1.055 | 0.31 | ( ) |
| (GeV) | (%) | (%) | (pb) | (pb) | (pb) | () | () | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 4.226 | 0.74 | 1.056 | 0.59 | 0.52 | … | 4.3 | 1.0 | ||||
| 4.258 | 0.76 | 1.054 | 0.50 | 0.56 | 2.0 | … | |||||
| 4.358 | 1.03 | 1.051 | 0.44 | 0.42 | 0.3 | … | |||||
| 4.416 | 1.15 | 1.053 | 0.35 | 0.34 | 2.2 | … | |||||
| 4.600 | 1.32 | 1.055 | 0.20 | 0.21 | … | … |
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Study of and evidence for decaying into
M. Ablikim1, M. N. Achasov10,d, S. Ahmed15, M. Albrecht4, M. Alekseev55A,55C, A. Amoroso55A,55C, F. F. An1, Q. An52,42, Y. Bai41, O. Bakina27, R. Baldini Ferroli23A, Y. Ban35,k, K. Begzsuren25, D. W. Bennett22, J. V. Bennett5, N. Berger26, M. Bertani23A, D. Bettoni24A, F. Bianchi55A,55C, I. Boyko27, R. A. Briere5, H. Cai57, X. Cai1,42, A. Calcaterra23A, G. F. Cao1,46, S. A. Cetin45B, J. Chai55C, J. F. Chang1,42, W. L. Chang1,46, G. Chelkov27,b,c, G. Chen1, H. S. Chen1,46, J. C. Chen1, M. L. Chen1,42, P. L. Chen53, S. J. Chen33, Y. B. Chen1,42, W. Cheng55C, G. Cibinetto24A, F. Cossio55C, H. L. Dai1,42, J. P. Dai37,h, A. Dbeyssi15, D. Dedovich27, Z. Y. Deng1, A. Denig26, I. Denysenko27, M. Destefanis55A,55C, F. De Mori55A,55C, Y. Ding31, C. Dong34, J. Dong1,42, L. Y. Dong1,46, M. Y. Dong1,42,46, Z. L. Dou33, S. X. Du60, P. F. Duan1, J. Z. Fan44, J. Fang1,42, S. S. Fang1,46, Y. Fang1, R. Farinelli24A,24B, L. Fava55B,55C, F. Feldbauer4, G. Felici23A, C. Q. Feng52,42, M. Fritsch4, C. D. Fu1, Y. Fu1, X. L. Gao52,42, Y. Gao44, Y. G. Gao6, Z. Gao52,42, I. Garzia24A,24B, A. Gilman49, K. Goetzen11, L. Gong34, W. X. Gong1,42, W. Gradl26, M. Greco55A,55C, L. M. Gu33, M. H. Gu1,42, S. Gu2, Y. T. Gu13, A. Q. Guo1,22, L. B. Guo32, R. P. Guo1,46, Y. P. Guo26, A. Guskov27, Z. Haddadi29, S. Han57, X. Q. Hao16, F. A. Harris47, K. L. He1,46, F. H. Heinsius4, T. Held4, Y. K. Heng1,42,46, T. Holtmann4, Z. L. Hou1, H. M. Hu1,46, J. F. Hu37,h, T. Hu1,42,46, Y. Hu1, G. S. Huang52,42, J. S. Huang16, X. T. Huang36, X. Z. Huang33, N. Huesken50, T. Hussain54, W. Ikegami Andersson56, M. Irshad52,42, Q. Ji1, Q. P. Ji16, X. B. Ji1,46, X. L. Ji1,42, H. B. Jiang36, X. S. Jiang1,42,46, X. Y. Jiang34, J. B. Jiao36, Z. Jiao18, D. P. Jin1,42,46, S. Jin33, Y. Jin48, T. Johansson56, A. Julin49, N. Kalantar-Nayestanaki29, X. S. Kang34, M. Kavatsyuk29, B. C. Ke1, I. K. Keshk4, T. Khan52,42, A. Khoukaz50, P. Kiese26, R. Kiuchi1, R. Kliemt11, L. Koch28, O. B. Kolcu45B,f, B. Kopf4, M. Kuemmel4, M. Kuessner4, A. Kupsc56, W. Kühn28, J. S. Lange28, P. Larin15, L. Lavezzi55C, S. Leiber4, H. Leithoff26, C. Leng55C, C. Li56, Cheng Li52,42, D. M. Li60, F. Li1,42, G. Li1, H. B. Li1,46, H. J. Li1,46, J. C. Li1, J. W. Li40, Ke Li1, Lei Li3, P. L. Li52,42, P. R. Li46,7, Q. Y. Li36, T. Li36, W. D. Li1,46, W. G. Li1, X. L. Li36, X. N. Li1,42, X. Q. Li34, Z. B. Li43, H. Liang52,42, Y. F. Liang39, Y. T. Liang28, G. R. Liao12, L. Z. Liao1,46, J. Libby21, C. X. Lin43, D. X. Lin15, B. Liu37,h, B. J. Liu1, C. X. Liu1, D. Liu52,42, D. Y. Liu37,h, F. H. Liu38, Fang Liu1, Feng Liu6, H. B. Liu13, H. J. Liu41, H. M. Liu1,46, Huanhuan Liu1, Huihui Liu17, J. B. Liu52,42, J. Y. Liu1,46, K. Y. Liu31, Ke Liu6, Q. Liu46, S. B. Liu52,42, X. Liu30, Y. B. Liu34, Z. A. Liu1,42,46, Zhiqing Liu26, Y. F. Long35,k, X. C. Lou1,42,46, H. J. Lu18, J. D. Lu1,46, J. G. Lu1,42, Y. Lu1, Y. P. Lu1,42, C. L. Luo32, M. X. Luo59, P. W. Luo43, T. Luo9,i, X. L. Luo1,42, S. Lusso55C, X. R. Lyu46, F. C. Ma31, H. L. Ma1, L. L. Ma36, M. M. Ma1,46, Q. M. Ma1, X. N. Ma34, X. X. Ma1,46, X. Y. Ma1,42, Y. M. Ma36, F. E. Maas15, M. Maggiora55A,55C, S. Maldaner26, Q. A. Malik54, A. Mangoni23B, Y. J. Mao35,k, Z. P. Mao1, S. Marcello55A,55C, Z. X. Meng48, J. G. Messchendorp29, G. Mezzadri24A, J. Min1,42, T. J. Min33, R. E. Mitchell22, X. H. Mo1,42,46, Y. J. Mo6, C. Morales Morales15, N. Yu. Muchnoi10,d, H. Muramatsu49, A. Mustafa4, S. Nakhoul11,g, Y. Nefedov27, F. Nerling11,g, I. B. Nikolaev10,d, Z. Ning1,42, S. Nisar8,j, S. L. Niu1,42, S. L. Olsen46, Q. Ouyang1,42,46, S. Pacetti23B, Y. Pan52,42, M. Papenbrock56, P. Patteri23A, M. Pelizaeus4, H. P. Peng52,42, K. Peters11,g, J. Pettersson56, J. L. Ping32, R. G. Ping1,46, A. Pitka4, R. Poling49, V. Prasad52,42, H. R. Qi2, M. Qi33, T. Y. Qi2, S. Qian1,42, C. F. Qiao46, N. Qin57, X. S. Qin4, Z. H. Qin1,42, J. F. Qiu1, S. Q. Qu34, K. H. Rashid54, K. Ravindran21, C. F. Redmer26, M. Richter4, A. Rivetti55C, M. Rolo55C, G. Rong1,46, Ch. Rosner15, M. Rump50, A. Sarantsev27,e, M. Savrié24B, C. Schnier4, K. Schoenning56, W. Shan19, X. Y. Shan52,42, M. Shao52,42, C. P. Shen2, P. X. Shen34, X. Y. Shen1,46, H. Y. Sheng1, X. Shi1,42, J. J. Song36, W. M. Song36, X. Y. Song1, S. Sosio55A,55C, C. Sowa4, S. Spataro55A,55C, F. F. Sui36, G. X. Sun1, J. F. Sun16, L. Sun57, S. S. Sun1,46, Y. J. Sun52,42, Y. K Sun52,42, Y. Z. Sun1, Z. J. Sun1,42, Z. T. Sun1, Y. X. Tan52,42, C. J. Tang39, G. Y. Tang1, X. Tang1, M. Tiemens29, B. Tsednee25, I. Uman45D, B. Wang1, B. L. Wang46, C. W. Wang33, D. Y. Wang35,k, H. H. Wang36, K. Wang1,42, L. L. Wang1, L. S. Wang1, M. Wang36, Meng Wang1,46, P. Wang1, P. L. Wang1, W. P. Wang52,42, X. F. Wang1, Y. Wang52,42, Y. D. Wang15, Y. F. Wang1,42,46, Z. Wang1,42, Z. G. Wang1,42, Z. Y. Wang1, Zongyuan Wang1,46, T. Weber4, D. H. Wei12, P. Weidenkaff26, S. P. Wen1, U. Wiedner4, M. Wolke56, L. H. Wu1, L. J. Wu1,46, Z. Wu1,42, L. Xia52,42, X. Xia36, D. Xiao1, Y. J. Xiao1,46, Z. J. Xiao32, Y. G. Xie1,42, Y. H. Xie6, X. A. Xiong1,46, Q. L. Xiu1,42, G. F. Xu1, J. J. Xu1,46, L. Xu1, Q. J. Xu14, X. P. Xu40, F. Yan53, L. Yan55A,55C, W. B. Yan52,42, W. C. Yan2, H. J. Yang37,h, H. X. Yang1, L. Yang57, R. X. Yang52,42, S. L. Yang1,46, Y. H. Yang33, Y. X. Yang12, Yifan Yang1,46, M. Ye1,42, M. H. Ye7, J. H. Yin1, Z. Y. You43, B. X. Yu1,42,46, C. X. Yu34, J. S. Yu20,l, C. Z. Yuan1,46, Y. Yuan1, A. Yuncu45B,a, A. A. Zafar54, Y. Zeng20,l, B. X. Zhang1, B. Y. Zhang1,42, C. C. Zhang1, D. H. Zhang1, H. H. Zhang43, H. Y. Zhang1,42, J. Zhang1,46, J. L. Zhang58, J. Q. Zhang4, J. W. Zhang1,42,46, J. Y. Zhang1, J. Z. Zhang1,46, K. Zhang1,46, L. Zhang44, S. F. Zhang33, T. J. Zhang37,h, X. Y. Zhang36, Y. H. Zhang1,42, Y. T. Zhang52,42, Yan Zhang52,42, Yang Zhang1, Yao Zhang1, Yu Zhang46, Z. H. Zhang6, Z. P. Zhang52, Z. Y. Zhang57, G. Zhao1, J. W. Zhao1,42, J. Y. Zhao1,46, J. Z. Zhao1,42, Lei Zhao52,42, Ling Zhao1, M. G. Zhao34, Q. Zhao1, S. J. Zhao60, T. C. Zhao1, Y. B. Zhao1,42, Z. G. Zhao52,42, A. Zhemchugov27,b, B. Zheng53, J. P. Zheng1,42, W. J. Zheng36, Y. H. Zheng46, B. Zhong32, L. Zhou1,42, Q. Zhou1,46, X. Zhou57, X. K. Zhou52,42, X. R. Zhou52,42, X. Y. Zhou1, A. N. Zhu1,46, J. Zhu34, K. Zhu1, K. J. Zhu1,42,46, S. Zhu1, S. H. Zhu51, X. L. Zhu44, Y. C. Zhu52,42, Y. S. Zhu1,46, Z. A. Zhu1,46, J. Zhuang1,42, 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 China Center of Advanced Science and Technology, Beijing 100190, People’s Republic of China
8 COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
9 Fudan University, Shanghai 200443, People’s Republic of China
10 G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
11 GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
12 Guangxi Normal University, Guilin 541004, People’s Republic of China
13 Guangxi University, Nanning 530004, People’s Republic of China
14 Hangzhou Normal University, Hangzhou 310036, People’s Republic of China
15 Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
16 Henan Normal University, Xinxiang 453007, People’s Republic of China
17 Henan University of Science and Technology, Luoyang 471003, People’s Republic of China
18 Huangshan College, Huangshan 245000, People’s Republic of China
19 Hunan Normal University, Changsha 410081, People’s Republic of China
20 Hunan University, Changsha 410082, People’s Republic of China
21 Indian Institute of Technology Madras, Chennai 600036, India
22 Indiana University, Bloomington, Indiana 47405, USA
23 (A)INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy; (B)INFN and University of Perugia, I-06100, Perugia, Italy
24 (A)INFN Sezione di Ferrara, I-44122, Ferrara, Italy; (B)University of Ferrara, I-44122, Ferrara, Italy
25 Institute of Physics and Technology, Peace Ave. 54B, Ulaanbaatar 13330, Mongolia
26 Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
27 Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
28 Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
29 KVI-CART, University of Groningen, NL-9747 AA Groningen, The Netherlands
30 Lanzhou University, Lanzhou 730000, People’s Republic of China
31 Liaoning University, Shenyang 110036, People’s Republic of China
32 Nanjing Normal University, Nanjing 210023, People’s Republic of China
33 Nanjing University, Nanjing 210093, People’s Republic of China
34 Nankai University, Tianjin 300071, People’s Republic of China
35 Peking University, Beijing 100871, People’s Republic of China
36 Shandong University, Jinan 250100, People’s Republic of China
37 Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
38 Shanxi University, Taiyuan 030006, People’s Republic of China
39 Sichuan University, Chengdu 610064, People’s Republic of China
40 Soochow University, Suzhou 215006, People’s Republic of China
41 Southeast University, Nanjing 211100, People’s Republic of China
42 State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People’s Republic of China
43 Sun Yat-Sen University, Guangzhou 510275, People’s Republic of China
44 Tsinghua University, Beijing 100084, People’s Republic of China
45 (A)Ankara University, 06100 Tandogan, Ankara, Turkey; (B)Istanbul Bilgi University, 34060 Eyup, Istanbul, Turkey; (C)Uludag University, 16059 Bursa, Turkey; (D)Near East University, Nicosia, North Cyprus, Mersin 10, Turkey
46 University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
47 University of Hawaii, Honolulu, Hawaii 96822, USA
48 University of Jinan, Jinan 250022, People’s Republic of China
49 University of Minnesota, Minneapolis, Minnesota 55455, USA
50 University of Muenster, Wilhelm-Klemm-Str. 9, 48149 Muenster, Germany
51 University of Science and Technology Liaoning, Anshan 114051, People’s Republic of China
52 University of Science and Technology of China, Hefei 230026, People’s Republic of China
53 University of South China, Hengyang 421001, People’s Republic of China
54 University of the Punjab, Lahore-54590, Pakistan
55 (A)University of Turin, I-10125, Turin, Italy; (B)University of Eastern Piedmont, I-15121, Alessandria, Italy; (C)INFN, I-10125, Turin, Italy
56 Uppsala University, Box 516, SE-75120 Uppsala, Sweden
57 Wuhan University, Wuhan 430072, People’s Republic of China
58 Xinyang Normal University, Xinyang 464000, People’s Republic of China
59 Zhejiang University, Hangzhou 310027, People’s Republic of China
60 Zhengzhou University, Zhengzhou 450001, People’s Republic of China
a Also at Bogazici University, 34342 Istanbul, Turkey
b Also at the Moscow Institute of Physics and Technology, Moscow 141700, Russia
c Also at the Functional Electronics Laboratory, Tomsk State University, Tomsk, 634050, Russia
d Also at the Novosibirsk State University, Novosibirsk, 630090, Russia
e Also at the NRC ”Kurchatov Institute”, PNPI, 188300, Gatchina, Russia
f Also at Istanbul Arel University, 34295 Istanbul, Turkey
g Also at Goethe University Frankfurt, 60323 Frankfurt am Main, Germany
h 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
i 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
j Also at Harvard University, Department of Physics, Cambridge, MA, 02138, USA
k Also at State Key Laboratory of Nuclear Physics and Technology, Peking University, Beijing 100871, People’s Republic of China
l School of Physics and Electronics, Hunan University, Changsha 410082, China
Abstract
We study the reaction for the first time using data samples collected with the BESIII detector at center-of-mass energies , , , , and GeV. Evidence of this process is found and the Born cross section , excluding and , is measured to be at GeV. Evidence for the decay is reported at GeV with a significance of , including systematic uncertainties, and the Born cross section times branching fraction is measured to be , which indicates that dominates the process. The signal is not significant at the other center-of-mass energies and the corresponding upper limits are determined. In addition, no significant signal is observed in a search for with the same data samples. The ratios and are obtained and compared with different theoretical interpretations of the and .
pacs:
14.40.Rt, 13.66.Bc, 14.40.Pq, 13.25.Gv
The charged charmonium-like states Ablikim:2013mio ; Liu:2013dau ; Ablikim:2013xfr and Ablikim:2013wzq ; Ablikim:2013emm were first observed in 2013. Although their observed properties indicate they are not conventional mesons consisting of a quark-antiquark pair, their exact quark configurations are still unknown. Several models have been developed to describe their inner structure reviews , including loosely bound hadronic molecules of two charmed mesons Voloshin:1976ap , compact tetraquarks Maiani:2004vq ; Wang:2013vex , and hadro-quarkonium Voloshin:2007dx ; Dubynskiy:2008mq .
It has recently been suggested that the relative decay rate of states, such as to (or to ), can be used to discriminate between the tetraquark and meson molecule scenarios Esposito:2014hsa . In Ref. Esposito:2014hsa , the predicted ratio is or based on the diquark-antidiquark tetraquark model, depending on how the spin-spin interaction outside the diquarks is treated. On the other hand, using Non-Relativistic Effective Field Theory techniques, this ratio is only if we assume the is a meson molecule state. Similarly, the predicted ratio of is in the tetraquark model, but only in the meson molecule model Esposito:2014hsa . However, the well-separated predictions for and , shown above, could move closer or even overlap according to different theoretical approaches. Within QCD sum rule approaches Faccini:2013lda ; Agaev:2016dev ; Dias:2013xfa ; Wang:2017lot and convaraint quark model approaches Goerke:2016hxf to the tetraquark scenario, the predicted value of can vary from 0.66 to 1.86. Furthermore, different approaches to the meson molecule model Patel:2014zja ; Ke:2013gia ; Goerke:2016hxf can lead to predictions for from to . Consequently, the capability to separate the molecular and tetraquark models is currently model-dependent. In the hadron-charmonium model, the is treated as a embedded in an S-wave spinless excitation of light-quark matter and consequently the transition is expected to be suppressed compared to . A search for the decays of or to thus offers an important opportunity to discrimate among the wide range of theoretical predictions.
In this Letter, we first report a search for the process . Then, based on the first step, we study the subprocesses ; and ; . We use data samples collected with the BESIII detector bes3-detector at center-of-mass (c.m.) energies above 4 GeV, as listed in Table 1. The c.m. energies are measured using the process with an uncertainty of MeV Ablikim:2015zaa . The beam spread is measured to be 1.6 MeV.
The design and performance of the BESIII detector are given in Ref bes3-detector . A geant4-based geant4 Monte Carlo (MC) simulation software package is used to optimize event selection criteria, determine the detection efficiencies, and estimate the backgrounds. At each energy, the signal events are generated according to phase space using evtgen evtgen . Initial state radiation (ISR) is simulated with kkmc kkmc , and final state radiation is handled with photos photos .
Charged tracks, photons and candidates are reconstructed using the standard criteria of the BESIII experiment Ablikim:2017pg . Candidate and decays to are reconstructed from pairs of photons with invariant mass in the range [0.120, 0.145] GeV/ for the and [0.50, 0.57] GeV/ for the . To improve the resolution, a one-constraint (1C) kinematic fit is imposed on the selected photon pairs to constrain their invariant mass to the nominal or mass Tanabashi:2018oca .
The candidates are reconstructed using nine hadronic decays: , , , , , , , , and . All combinations with invariant mass in the range [2.7, 3.2] GeV/ are kept within each event. The signal region for the candidates is defined as [2.95, 3.02] GeV/ and the sidebands as [2.78, 2.92] and [3.05, 3.19] GeV/.
After the above selection, a four-constraint (4C) kinematic fit is performed for each event, and the of the fit () is required to be less than 40 to suppress backgrounds. In each event, the mass of each track (excluding daughters) is taken to be that of the kaon, pion or proton, depending on the decay mode under study. Finally, only the combination of mass assignments with the minimum is kept. Here, is the of the 1C fit for (), is the sum of the for the PID of all charged tracks, and is the of the secondary vertex fit.
Inclusive MC samples with the same statistics as the data are studied to understand the backgrounds. The major backgrounds to are classified into two categories. They are events from (1) charmonium(-like) states decays (most of which include open-charm decays, e.g. ); and (2) the continuum process, , with , , and .
By analyzing 600,000 MC simulation events with decaying inclusively, a small enhancement in the signal region is found. Using the measured cross section given in Ref Ablikim:2013wzq and the luminosity of data, its contribution, , is estimated to be at GeV. The contributions at other energies are estimated in a similar way.
To suppress background events with charmed mesons, events are rejected if a meson candidate is reconstructed in one of its five decay modes: , , , , and . To accomplish this, we require the invariant mass of () candidates to be outside the region MeV ( MeV). To reduce the continuum background, events with a , an , or an candidate are removed by requiring MeV, MeV, and MeV, respectively. Here, , , , and are the nominal masses of the corresponding states.
The mass windows for the background veto mentioned above and the requirement of the 4C kinematic fit are determined by optimizing the figure-of-merit (FOM), which is defined as . Here, is the number of signal events from the MC simulation assuming , which is evaluated from a measurement with unoptimized selection criteria. is the number of background events obtained from the sidebands in the data and extrapolated to the signal region linearly. The optimization is performed through iterations until all the selection criteria become stable.
To obtain the yield, the invariant mass distributions of the candidates in the nine decay modes are fitted simultaneously using an unbinned maximum likelihood method. In the fit, the signal shape is determined from MC simulation and is described with a constant-width Breit-Wigner function (mass and width are fixed to the world average values Tanabashi:2018oca ) convolved with a Crystal Ball function, which represents instrumental resolution. The background is described with a second order Chebyshev Polynomial (CP). Both the signal and background shapes are channel dependent, but the relative signal yields among all the channels are constrained by branching fractions and efficiencies Ablikim:2017pg . The total signal yield of the nine channels is labeled , which is shared for all the channels and required to be positive. The free parameters in the fit include and the background yield and shape parameters for each decay mode. Figure 1(left) shows the fit results at = 4.226 GeV projected onto the sum of events from all nine decay modes. Figure 1(right) shows the background-subtracted distribution. The total signal yield is with a statistical significance of , which is obtained by comparing the change of the log-likelihood value with and without the signal in the fit with one degree of freedom. The same selection criteria are applied to the other data sets, but no significant signals are observed.
The Born cross section of the reaction is calculated using
[TABLE]
where is the number of signal events after the peaking background subtraction; is the integrated luminosity; is the ISR correction factor, assuming the signal is from decays Tanabashi:2018oca ; and is the vacuum-polarization factor Jegerlehner:1985gq . The cross sections and the numbers used for their calculation are listed in Table 1 for all energy points. The upper limits of the cross sections at 90% confidence level (C.L.) are determined using a Bayesian method, assuming a flat prior in . The systematic uncertainties are incorporated into the upper limit by smearing the probability density function of the cross section Ablikim:2017pg . The corresponding results for are also listed in Table 1.
The and signals are examined after requiring that the invariant mass of an candidate is within the signal region [2.95, 3.02] GeV/ and the invariant mass of is within the signal region [0.675, 0.875] GeV/. Here, we don’t distinguish the pions from decay or from collision and decay, therefore all possible combinations in one event are kept to avoid bias. To suppress the combinatorial background, the momenta of the pions from the decays are required to be less than 0.8 GeV/. The events in the sidebands and sideband, which is defined as [0.475, 0.675] GeV/, are investigated and no peaking structure is found. In addition, the simulated background events are studied (Fig. 2 left) and show good agreement with data both in the signal (Fig. 3 top) and sideband regions (Fig. 2 right). In the data sample, the signal is apparent, but there is no statistically significant signal.
To obtain the yields of and , the invariant mass of candidates in the nine decay channels are fitted simultaneously using the same method as for . In the fit, a possible interference between the signal and the background is neglected. The mass and width of the are fixed to the values from the latest measurement Collaboration:2017njt and those of the are fixed to world average values Tanabashi:2018oca . The mass resolution is obtained from MC simulation and parameterized as a Crystal Ball function Oreglia:1980cs . The background is described with a second order CP function. To validate the fit model, we perform a fit with the same model on the simulated background as shown in Fig. 2 (left). The signal yields of and are and , respectively, and the statistical significance of the is . We also fit the sideband events both from data and MC with the second order CP function and the function can describe the sidebands well as shown in Fig. 2 (right). After the validation, we apply the fit model to data. Figure 3 shows the fit to the data set taken at GeV. The total signal yield is events with a statistical significance of , and that of the is events with a statistical significance of . The signals at the other c.m. energies are not statistically significant.
The Born cross section for with is calculated using the same equation as shown in Eq. (1). The numbers used in the calculation and the results are listed in Table 2.
The systematic uncertainties in the measurement originate from the uncertainty of each factor in Eq. (1). The integrated luminosity has an uncertainty of Ablikim:2015nan . The uncertainty due to the subtraction of the peaking background events includes both the uncertainty due to the cross section and the statistical error of the MC sample. To estimate the uncertainty due to ISR correction, the c.m. energy dependent cross section of measured by the BESIII experiment Ablikim:2016qzw is used instead of Y(4260). The uncertainty from the signal shape consists of the mass resolution discrepancy between data and MC simulation and the uncertainty of the resonant parameters. The former is studied using an Ablikim:2017ove sample and the latter is estimated by varying the mass and width by around the world average values Tanabashi:2018oca . The uncertainty for the background shape is estimated by changing the order of the CP function and adjusting the fit boundaries. The methods for estimating the uncertainties due to the vacuum polarization and are the same as those described in Ref. Ablikim:2017pg . Furthermore, the uncertainty due to the decay dynamics is obtained by comparing the simulations with and without the resonance. All of the sources are assumed to be independent and added in quadrature and the largest systematics uncertainty is that of . The total systematic uncertainties are listed in Table 1.
For the measurement, the uncertainties on , ISR factors, and the vacuum polarization factor are studied following the methods described in the measurement of . Moreover, additional systematic uncertainties arise from the and selections, and the fit of the invariant mass spectrum of . The uncertainty due to the mass window is estimated by comparing the invariant mass of in data and MC assuming the mass resolution of is larger than . The discrepancy is found to be negligible. The uncertainty of the line shape is estimated by the varying the mass and width of the within the errors given by world average values Tanabashi:2018oca . The uncertainties affecting the fit to the () are estimated with the same methods as in the case. All these sources and those in the measurement are assumed to be independent and added in quadrature. The uncertainties related to the fit of invariant mass of hadrons are excluded because they don’t affect the measurement. The largest systematics uncertainty comes from . The total systematic uncertainties are listed in Table 2.
To evaluate the effect of the systematic uncertainty on the signal significance at GeV, we vary the signal shape, background parametrization, and fit range, or free the mass, then repeat the fit. We find that the statistical significance of the is always larger than .
In summary, using the annihilation data at , , , , and GeV, we study the process for the first time. Evidence of this process is observed at GeV with a significance of and the Born cross section is measured to be , excluding the processes and . Evidence for the decay mode of the charged charmonium-like state is found in the process with from the same data set. The measured cross section times branching ratio is . This result indicates that the process is dominated by the subprocess (and implicitly ). The significance of is including the systematical uncertainty. No significant signal of is observed at 4.258, 4.358, 4.416, and 4.600 GeV and no significant signal of with is found in any of the data sets. Upper limits are deterimened at 90% C.L.
Using the results from Refs. Ablikim:2013wzq and Collaboration:2017njt , we calculate the ratios and . The results obtained from the measurements at 4.226, 4.258, and 4.358 GeV are listed in Table 3, together with the theoretical predictions for comparison.
The measured is closer to the calculation of the tetraquark model than to that of the meson molecule model in Ref. Esposito:2014hsa . The measurement is also consistent with several other independent calculations based on the tetraquark scenario Faccini:2013lda ; Agaev:2016dev ; Dias:2013xfa ; Wang:2017lot ; Goerke:2016hxf . For the molecule model, as we mentioned before, the calculated is highly model dependent Patel:2014zja ; Ke:2013gia ; Goerke:2016hxf . Therefore, it is necessary to narrow down the theoretical uncertainty in the molecular framework to have a better comparison with the measurement. In the hadron-charmonium model, the is suppressed compared with and therefore inconsistent with the measurement Voloshin:2013dpa . Furthermore, this model predicts a new resonance , which can be produced via , the same final state we analyzed here. As we found that the process is saturated by , we can conclude that the production of the , if present, is small compared to .
For , we can only report upper limits, but they are smaller than the value calculated based on the tetraquark model. On the other hand, the upper limits are not in contradiction with the molecule model calculation, which is about two orders of magnitude smaller than the current upper limits Esposito:2014hsa .
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 Basic Research Program of China under Contract No. 2015CB856700; National Natural Science Foundation of China (NSFC) under Contracts Nos. 11335008, 11425524, 11625523, 11635010, 11735014, and 11575198; 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 Contracts Nos. U1532257, U1532258, U1732263; CAS Key Research Program of Frontier Sciences under Contracts Nos. QYZDJ-SSW-SLH003, QYZDJ-SSW-SLH040; 100 Talents Program of CAS; INPAC and Shanghai Key Laboratory for Particle Physics and Cosmology; German Research Foundation DFG under Contracts Nos. Collaborative Research Center CRC 1044, FOR 2359; Istituto Nazionale di Fisica Nucleare, Italy; Koninklijke Nederlandse Akademie van Wetenschappen (KNAW) under Contract No. 530-4CDP03; Ministry of Development of Turkey under Contract No. DPT2006K-120470; National Science and Technology fund; The Knut and Alice Wallenberg Foundation (Sweden) under Contract No. 2016.0157; The Swedish Research Council; U. S. Department of Energy under Contracts Nos. DE-FG02-05ER41374, DE-SC-0010118, DE-SC-0012069; University of Groningen (RuG) and the Helmholtzzentrum fuer Schwerionenforschung GmbH (GSI), Darmstadt.
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