Observation of $e^+e^- \rightarrow D_s^+ \overline{D}{}^{(*)0} K^-$ and study of the $P$-wave $D_s$ mesons
BESIII Collaboration: M. Ablikim, M. N. Achasov, S. Ahmed, M., Albrecht, M. Alekseev, A. Amoroso, F. F. An, Q. An, J. Z. Bai, Y. Bai, O., Bakina, R. Baldini Ferroli, Y. Ban, K. Begzsuren, D. W. Bennett, J. V., Bennett, N. Berger, M. Bertani, D. Bettoni, J. M. Bian, F. Bianchi

TL;DR
This paper reports the first observation of specific $e^+e^-$ collision processes producing $D_s$ mesons and studies their properties, including cross sections, masses, widths, and quantum numbers, using data from the BESIII detector at 4.6 GeV.
Contribution
The study provides the first measurements of certain $e^+e^-$ to $D_s$ meson processes and determines properties of $P$-wave $D_s$ mesons, including their masses, widths, and spin-parity.
Findings
First observation of $e^+e^- o D_s^+ ar{D}^{(*)0} K^-$ processes.
Measured masses and widths of $D_{s1}(2536)^-$ and $D_{s2}^*(2573)^-$ mesons.
Determined spin-parity $J^P=2^+$ for $D_{s2}^*(2573)^-$.
Abstract
Studies of and the -wave charmed-strange mesons are performed based on an collision data sample corresponding to an integrated luminosity of 567 pb collected with the BESIII detector at GeV. The processes of and are observed for the first time and are found to be dominated by the modes and , respectively. The Born cross sections are measured to be and , and the products of Born cross section and the decay branching fraction are measured to be $\sigma^{B}(e^+e^-\to D_s^+D_{s1}(2536)^- + c.c.)\cdot\mathcal{B}(D_{s1}(2536)^- \to…
| 4.600 | 4.575 | 4.527 | 4.467 | 4.416 | ||
|---|---|---|---|---|---|---|
| () | 567 | 48 | 110 | 110 | 1029 | |
| 1.059 | 1.059 | 1.059 | 1.061 | 1.055 | ||
| 0.765 | 0.755 | 0.735 | ||||
| (%) | 16.1 | 14.3 | 13.2 | |||
| () | ||||||
| 3.7 | 6.7 | |||||
| pb | 13.5 | 11.3 | ||||
| 0.694 | 0.698 | 0.702 | 0.691 | 0.762 | ||
| (%) | 22.3 | 23.9 | 20.3 | 18.2 | 14.6 | |
| () | ||||||
| 5.8 | 7.3 | 10.6 | 10.5 | |||
| pb | 12.7 | 8.1 | 13.2 | 1.6 |
| Mass () | Width ( MeV) | |||
|---|---|---|---|---|
| Source | ||||
| Mass shift | 3.0 | 1.3 | ||
| Detector resolution | 0.5 | 0.1 | ||
| Center-of-mass energy | 0.7 | 1.0 | 0.2 | 0.3 |
| Signal model | ||||
| Background shape | 0.2 | 0.4 | 0.2 | 0.3 |
| Fit range | 0.2 | 1.0 | ||
| Total | 3.1 | 1.7 | 0.6 | 1.1 |
| at different | at 4.600 GeV | ||||||
| Source | 4.600 | 4.575 | 4.527 | 4.467 | 4.416 | ||
| Tracking | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| Particle ID | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| Luminosity | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
| Branching faction | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| center-of-mass energy | |||||||
| Fit range | (, 2) | (2, ) | (4, 3) | (,-) | (,-) | 3 | 4 |
| Background shape | (3, 1) | (1, 4) | (4, 5) | (5,-) | (6,-) | 4 | 5 |
| Line shape | (3, 4) | (2, 3) | (1, 1) | (1,-) | (,-) | 4 | 3 |
| Total: | (8, 8) | (7, 8) | (9, 9) | (8,-) | (9,-) | 9 | 10 |
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00footnotetext: Received *** 20**
Observation of and study of the -wave mesons
Abstract
Studies of and the -wave charmed-strange mesons are performed based on an collision data sample corresponding to an integrated luminosity of 567 pb*-1* collected with the BESIII detector at . The processes of and are observed for the first time and are found to be dominated by the modes and , respectively. The Born cross sections are measured to be and , and the products of Born cross section and the decay branching fraction are measured to be and . For the and mesons, the masses and widths are measured to be and The spin-parity of the meson is determined to be . In addition, the process are searched for using the data samples taken at four (two) center-of-mass energies between 4.416 (4.527) and 4.575 GeV, and upper limits at the confidence level on the cross sections are determined.
keywords:
cross section, -wave mesons, resonance parameters, spin-parity, BESIII
pacs:
1
M. Ablikim(麦迪娜)1, M. N. Achasov10,d, S. Ahmed15, M. Albrecht4, M. Alekseev55A,55C, A. Amoroso55A,55C, F. F. An(安芬芬)1, Q. An(安琪)42,52, Y. Bai(白羽)41, O. Bakina27, R. Baldini Ferroli23A, Y. Ban(班勇)35, K. Begzsuren25, D. W. Bennett22, J. V. Bennett5, N. Berger26, M. Bertani23A, D. Bettoni24A, F. Bianchi55A,55C, I. Boyko27, R. A. Briere5, H. Cai(蔡浩)57, X. Cai(蔡啸)1,42, A. Calcaterra23A, G. F. Cao(曹国富)1,46, S. A. Cetin45B, J. Chai55C, J. F. Chang(常劲帆)1,42, W. L. Chang1,46, G. Chelkov27,b,c, G. Chen(陈刚)1, H. S. Chen(陈和生)1,46, J. C. Chen(陈江川)1, M. L. Chen(陈玛丽)1,42, S. J. Chen(陈申见)33, Y. B. Chen(陈元柏)1,42, W. S. Cheng(成伟帅)55C, G. Cibinetto24A, F. Cossio55C, H. L. Dai(代洪亮)1,42, J. P. Dai(代建平)37,h, A. Dbeyssi15, D. Dedovich27, Z. Y. Deng(邓子艳)1, A. Denig26, I. Denysenko27, M. Destefanis55A,55C, F. De Mori55A,55C, Y. Ding(丁勇)31, C. Dong(董超)34, J. Dong(董静)1,42, L. Y. Dong(董燎原)1,46, M. Y. Dong(董明义)1, Z. L. Dou(豆正磊)33, S. X. Du(杜书先)60, J. Z. Fan(范荆州)44, J. Fang(方建)1,42, S. S. Fang(房双世)1,46, Y. Fang(方易)1, R. Farinelli24A,24B, L. Fava55B,55C, F. Feldbauer4, G. Felici23A, C. Q. Feng(封常青)42,52, M. Fritsch4, C. D. Fu(傅成栋)1, Y. Fu(付颖)1, Q. Gao(高清)1, X. L. Gao(高鑫磊)42,52, Y. N. Gao(高原宁)44, Y. G. Gao(高勇贵)6, Z. Gao(高榛)42,52, B. Garillon26, I. Garzia24A, A. Gilman49, K. Goetzen11, L. Gong(龚丽)34, W. X. Gong(龚文煊)1,42, W. Gradl26, M. Greco55A,55C, L. M. Gu(谷立民)33, M. H. Gu(顾旻皓)1,42, S. Gu(顾珊)2, Y. T. Gu(顾运厅)13, A. Q. Guo(郭爱强)1, L. B. Guo(郭立波)32, R. P. Guo(郭如盼)1,46, Y. P. Guo(郭玉萍)26, A. Guskov27, Z. Haddadi29, S. Han(韩爽)57, X. Q. Hao(郝喜庆)16, F. A. Harris47, K. L. He(何康林)1,46, F. H. Heinsius4, T. Held4, Y. K. Heng(衡月昆)1, Z. L. Hou(侯治龙)1, H. M. Hu(胡海明)1,46, J. F. Hu(胡继峰)37,h, T. Hu(胡涛)1, Y. Hu(胡誉)1, G. S. Huang(黄光顺)42,52, J. S. Huang(黄金书)16, X. T. Huang(黄性涛)36, X. Z. Huang(黄晓忠)33, Z. L. Huang(黄智玲)31, N. Huesken50, T. Hussain54, W. Ikegami Andersson56, W. Imoehl22, M. Irshad42,52, Q. Ji(纪全)1, Q. P. Ji(姬清平)16, X. B. Ji(季晓斌)1,46, X. L. Ji(季筱璐)1,42, H. L. Jiang(姜侯兵)36, X. S. Jiang(江晓山)1, X. Y. Jiang(蒋兴雨)34, J. B. Jiao(焦健斌)36, Z. Jiao(焦铮)18, D. P. Jin(金大鹏)1, S. Jin(金山)33, Y. Jin(金毅)48, T. Johansson56, N. Kalantar-Nayestanaki29, X. S. Kang(康晓bsmi 珅)34, M. Kavatsyuk29, B. C. Ke(柯百谦)1, I. K. Keshk4, T. Khan42,52, A. Khoukaz50, P. Kiese26, R. Kiuchi1, R. Kliemt11, L. Koch28, O. B. Kolcu45B,f, B. Kopf4, M. Kuemmel4, M. Kuessner4, A. Kupsc56, M. Kurth1, W. Kühn28, J. S. Lange28, P. Larin15, L. Lavezzi55C,1, H. Leithoff26, C. Li(李翠)56, Cheng Li(李澄)42,52, D. M. Li(李德民)60, F. Li(李飞)1,42, F. Y. Li(李峰云)35, G. Li(李刚)1, H. B. Li(李海波)1,46, H. J. Li(李惠静)9,j, J. C. Li(李家才)1, J. W. Li(李井文)40, Ke Li(李科)1, L. K. Li(李龙科)1, Lei Li(李蕾)3, P. L. Li(李佩莲)42,52, P. R. Li(李培荣)30, Q. Y. Li(李启云)36, W. D. Li(李卫东)1,46, W. G. Li(李卫国)1, X. L. Li(李晓玲)36, X. N. Li(李小男)1,42, X. Q. Li(李学潜)34, Z. B. Li(李志兵)43, H. Liang(梁昊)42,52, Y. F. Liang(梁勇飞)39, Y. T. Liang(梁羽铁)28, G. R. Liao(廖广睿)12, L. Z. Liao(廖龙洲)1,46, J. Libby21, C. X. Lin(林创新)43, D. X. Lin(林德旭)15, B. Liu(刘冰)37,h, B. J. Liu(刘北江)1, C. X. Liu(刘春秀)1, D. 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Sosio55A,55C, C. Sowa4, S. Spataro55A,55C, F. F. Sui(隋风飞)36, G. X. Sun(孙功星)1, J. F. Sun(孙俊峰)16, L. Sun(孙亮)57, S. S. Sun(孙胜森)1,46, X. H. Sun(孙新华)1, Y. J. Sun(孙勇杰)42,52, Y. K Sun(孙艳坤)42,52, Y. Z. Sun(孙永昭)1, Z. J. Sun(孙志嘉)1,42, Z. T. Sun(孙振田)1, Y. T Tan(谭雅星)42,52, C. J. Tang(唐昌建)39, G. Y. Tang(唐光毅)1, X. Tang(唐晓)1, M. Tiemens29, B. Tsednee25, I. Uman45D, B. Wang(王斌)1, B. L. Wang(王滨龙)46, C. W. Wang(王成伟)33, D. Y. Wang(王大勇)35, H. H. Wang(王豪豪)36, K. Wang(王科)1,42, L. L. Wang(王亮亮)1, L. S. Wang(王灵淑)1, M. Wang(王萌)36, Meng Wang(王蒙)1,46, P. Wang(王平)1, P. L. Wang(王佩良)1, R. M. Wang(王茹敏)58, W. P. Wang(王维平)42,52, X. F. Wang(王雄飞)1, Y. Wang(王越)42,52, Y. F. Wang(王贻芳)1, Z. Wang(王铮)1,42, Z. G. Wang(王志刚)1,42, Z. Y. Wang(王至勇)1, Zongyuan Wang(王宗源)1,46, T. Weber4, D. H. Wei(魏代会)12, P. Weidenkaff26, S. P. Wen(文硕频)1, U. Wiedner4, M. Wolke56, L. H. Wu(伍灵慧)1, L. J. Wu(吴连近)1,46, Z. Wu(吴智)1,42, L. Xia(夏磊)42,52, Y. Xia(夏宇)20, Y. J. Xiao(肖言佳)1,46, Z. J. Xiao(肖振军)32, Y. G. Xie(谢宇广)1,42, Y. H. Xie(谢跃红)6, X. A. 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Zhang(张亚腾)42,52, Yang Zhang(张洋)1, Yao Zhang(张瑶)1, Yu Zhang(张宇)46, Z. H. Zhang(张正好)6, Z. P. Zhang(张子平)52, Z. Y. Zhang(张振宇)57, G. Zhao(赵光)1, J. W. Zhao(赵京伟)1,42, J. Y. Zhao(赵静宜)1,46, J. Z. Zhao(赵京周)1,42, Lei Zhao(赵雷)42,52, Ling Zhao(赵玲)1, M. G. Zhao(赵明刚)34, Q. Zhao(赵强)1, S. J. Zhao(赵书俊)60, T. C. Zhao(赵天池)1, Y. B. Zhao(赵豫斌)1,42, Z. G. Zhao(赵政国)42,52, A. Zhemchugov27,b, B. Zheng(郑波)53, J. P. Zheng(郑建平)1,42, Y. H. Zheng(郑阳恒)46, B. Zhong(钟彬)32, L. Zhou(周莉)1,42, Q. Zhou(周巧)1,46, X. Zhou(周详)57, X. K. Zhou(周晓康)42,52, X. R. Zhou(周小蓉)42,52, Xiaoyu Zhou(周晓宇)20, Xu Zhou(周旭)20, A. N. Zhu(朱傲男)1,46, J. Zhu(朱江)34, J. Zhu(朱江)43, K. Zhu(朱凯)1, K. J. Zhu(朱科军)1, S. H. Zhu(朱世海)51, X. L. Zhu(朱相雷)44, Y. C. Zhu(朱莹春)42,52, Y. S. Zhu(朱永生)1,46, Z. A. Zhu(朱自安)1,46, J. Zhuang(庄建)1,42, B. S. Zou(邹冰松)1, J. H. Zou(邹佳恒)1
(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 Government College Women University, Sialkot - 51310. Punjab, Pakistan.
j 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
k Also at Harvard University, Department of Physics, Cambridge, MA, 02138, USA
4.40 Lb, 13.66 Bc
1 Introduction
Although the Heavy Quark Effective Theory (HQET) [1, 2, 3, 4] has achieved great success in the past decades in explaining and predicting the spectrum of charmed-strange mesons (), there still exist discrepancies between the theoretical predictions and experimental measurements, especially for the -wave excited states. The unexpectedly low masses of and stimulated theoretical and experimental interest not only in them, but also in the other two -wave charmed-strange states, and . The resonance parameters of the and mesons need more experimentally independent measurements [5]. In particular, the latest result on the mass from LHCb [6, 7] deviates from the other measurements [8, 9, 10] significantly, and therefore, the world average fit gives a bad quality [5], where is the number of degrees of freedom. In addition, the quantum numbers spin and parity () of the meson have been determined to be only recently with a partial wave analysis carried out by LHCb [11], and more confirmation is needed.
In recent years, measurements of the exclusive cross sections for annihilation into charmed or charmed-strange mesons above the open charm threshold have attracted great interest. First, the charmonium states above the open charm threshold ( states) still lack of adequate experimental measurements and theoretical explanations. The latest parameter values of these resonances are given by BES [12] from a fit to the total cross section of hadron production in annihilation. However, model predictions for decays into two-body final states were used, hence the values of the resonance parameters remain model-dependent. Studies of the exclusive cross sections would help to measure the parameters of the states model-independently. Second, many additional states with lying above the open charm threshold have been discovered recently [13, 14, 15, 16, 17]. Exclusive cross section measurements will provide important information in explaining these states. Measurements of cross sections for the final states were performed by Belle [18, 19, 20, 21, 22, 23], BABAR [24, 25, 26], and CLEO [27], only with low-lying charmed or charmed-strange mesons in the final states. Up to now, only the final states in annihilation have been observed by Belle [32], others with higher excited charmed or charmed-strange mesons have not yet been observed. In addition, the cross sections of have also been measured by CLEO [27] and BESIII [28, 29, 30, 31]. However, a search for final states with strange flavor, , has not been performed before.
Using collision data corresponding to an integrated luminosity of 567 [33] collected at a center-of-mass energy of GeV with the BESIII detector operating at the Beijing Electron-Positron Collider (BEPCII), we observe the processes and , which are found to be dominated by and , respectively. For the observed and mesons, we present the resonance parameters and determine the spin and parity of . In addition, the processes are searched for using the data samples taken at four (two) center-of-mass energies between 4.416 (4.527) and 4.575 GeV, and upper limits at confidence level on the cross sections are determined. Throughout the paper, the charge conjugate processes are implied to be included, unless explicitly stated otherwise.
2 BESIII Detector and Monte Carlo Simulation
The BESIII detector is a magnetic spectrometer [35] located at the Beijing Electron Positron Collider (BEPCII) [36]. The cylindrical core of the BESIII detector consists of a helium-based multilayer drift chamber (MDC), a plastic scintillator time-of-flight system (TOF), and a CsI(Tl) electromagnetic calorimeter (EMC), which are all enclosed in a superconducting solenoidal magnet providing a 1.0 T magnetic field. The solenoid is supported by an octagonal flux-return yoke with resistive plate counter muon identifier modules interleaved with steel. The acceptance for charged particles and photons is 93% over solid angle. The charged-particle momentum resolution at is , and the specific energy loss () resolution is for electrons from Bhabha scattering. The EMC measures photon energies with a resolution of () at GeV in the barrel (end cap) region. The time resolution of the TOF barrel part is 68 ps, while that of the end cap part is 110 ps.
Simulated data samples are produced with the geant4-based [37] Monte Carlo (MC) package which includes the geometric description of the BESIII detector and the detector response. They are used to determine the detection efficiency and to estimate the backgrounds. The simulation includes the beam energy spread and effects of initial state radiation (ISR) in the annihilations modeled with the generator kkmc [38]. The inclusive MC samples consist of the production of open charm processes, the ISR production of vector charmonium(-like) states, and the continuum processes incorporated in kkmc [38]. The known decay modes are model-led with evtgen [39] using branching fractions taken from the Particle Data Group [5], and the remaining unknown decays from the charmonium states with lundcharm [40]. Final state radiation (FSR) from charged final state particles is simulated with the photos package [41]. The intermediate states in the decay are considered in the simulation [42]. In the measurements of and resonance parameters, the angular distributions are taken into account in the generation of signal MC samples. For the signal process of , the spin-parity of the meson is assumed to be . To determine the spin-parity of , efficiencies were obtained from the two MC samples, which assume the spin-parity as or . The MC sample with spin-parity is used in the measurement of the resonance parameters.
3 Basic event selections
To identify the final state , a partial reconstruction method is adopted, in which we detect the and reconstruct candidates through the decay. The remaining meson is identified with the mass recoiling against the reconstructed system.
For each of the four reconstructed charged tracks, the polar angle in the MDC must satisfy , and the distance of the closest approach from the interaction point to the reconstructed track is required to be within cm in the beam direction and within cm in the plane perpendicular to the beam direction. The ionization energy loss measured in the MDC and the time of flight measured by the TOF are used to perform the particle identification (PID). Pion candidates are required to satisfy , where and are the PID confidence levels for a track to be a pion and kaon, respectively. Kaon candidates are identified by requiring .
The meson candidates are reconstructed from two kaons with opposite charge and one charged pion. To satisfy strangeness and charge conservation, each candidate must be accompanied by a negatively charged kaon. For the candidates, the distributions of the reconstructed masses versus and are shown in Figs. 1(a) and (b), respectively. The two dominant sub-resonant decays, , a horizontal band for the process and a vertical band for the process are clearly visible. To improve the signal significance in Fig. 1(b), only the candidates which satisfy (region A) or (region B) are retained. The corresponding distributions for events in region A+B and A are plotted in Figs. 1(c) and (d), respectively, showing improved signal significance. The final candidates must have a reconstructed mass in the region .
In this analysis, the resolution of the recoiling mass is improved by using the variables and . Here, and are the reconstructed recoiling masses against the and system, respectively, and is the nominal mass taken from the world average [5].
4 Studies of data at 4.600 GeV
4.1 Cross section of
To reject the backgrounds from decays in the measurement of the cross section of , we further demand that . Figure 2 presents evident peaks in the distribution of around the signal positions of and , which correspond to the processes and , respectively.
To determine the signal yields of the processes at 4.600 GeV, an unbinned maximum likelihood fit is performed to the spectrum as shown in Fig. 2. The signal peaks are described by the MC-determined signal shapes and the background shapes are taken as ARGUS functions [50]. In the fit to data, the endpoint of the background shape is fixed at the value obtained from a fit of an ARGUS function to the spectrum in the background MC sample. The Born cross section is calculated as
[TABLE]
where is the number of the observed signal candidates, is the integrated luminosity, is the detection efficiency determined from MC simulations, is the radiative correction factor [47], is the vacuum polarization factor [48], and is branching fraction of . The detection efficiencies are estimated based on MC simulations, assuming the two body final states of and dominate the decays to according to the studies in Secs. 4.2 and 4.3. The numerical results are given in Table 1.
4.2 Studies on the
For the candidates surviving the basic event selections, we further select the signal candidates for by requiring , as shown in Fig. 3(a). The distribution of the remaining events is displayed in Fig. 4(a), where a clear signal peak near the nominal mass is visible. An unbinned maximum likelihood fit is performed to the distribution, where the signal shape is taken as a sum of the efficiency-weighted -wave and -wave Breit-Wigner function convolved with the detector resolution function, . Here, the resolution function (plotted in Fig. 4(c)) and the efficiency (plotted in Fig. 4(b) ) are determined from MC simulations, and is the fraction of the -wave Breit-Wigner function. The -wave and -wave Breit-Wigner functions are , and , respectively, where and are the mass and width of the to be determined and is the momentum of () in the rest frame of () system. The backgrounds are described with a first-order polynomial function. The parameter is fixed to 0.72 [46], while the other parameters are determined in the fit.
In this fit, the number of signal candidates is estimated to be . The mass and width of the are measured to be , and , respectively. The branching fraction weighted Born cross section is determined to be . The relevant systematic uncertainties are discussed later and summarized in Table 3.
4.3 Studies on the
To study the properties, we select the signal candidates of the process by requiring in the signal region of , as shown in Fig. 3(b). To reject backgrounds from , only the candidates in region A of Fig. 1 are used. For the selected events, the corresponding distribution is plotted in Fig. 4(d), where a clear signal peak near the known mass is observed.
An unbinned maximum likelihood fit is performed to the spectrum in Fig. 4(d). The spin-parity of the meson is fixed to be , following the studies in Sec. 4.4, and the meson is assumed to decay to predominantly via -wave [2]. Hence, we take the -wave Breit-Wigner function convolved with the resolution function (shown in Fig. 4(f)), , to describe the signal, and a flat line to represent backgrounds. Here, is the momentum of () in the rest frame of the () system. Figure 4 (e) shows the efficiency distribution with the assignment , which is consistent with a flat line. All parameters are left free in the fit.
The fit yields signal events. The mass and width of the are measured to be , and , respectively, where the systematic uncertainties are summarized in Table 2. The branching fraction weighted Born cross section is given to be . The relevant systematic uncertainties are discussed later and summarized in Table 3.
4.4 Spin-parity of the
At , the exclusive process is observed just above the production threshold. For the meson, the assignments with high spins would be strongly suppressed in this process. Hence, we assume that the meson can only have two possible assignments, or . Under these two hypotheses, the differential decay rates as a function of the helicity angle of the in the rest frame of the , , follow two very distinctive formulae of for and for . We can determine the true spin-parity from tests of the two hypotheses based on data.
In each interval of width 0.2, the number of background events is estimated from the sideband region (2.44, 2.50) according to the global fit shown in Fig. 4 (d) and subtracted from the signal candidates in the signal region, (2.54, 2.60) . Then we obtain the efficiency-corrected angular distribution of , as depicted in Fig. 5 for the signals. The efficiency distributions in Figs. 5 (a) and (c) are obtained from the signal MC simulation samples, which assume the spin-parity of the as and , respectively.
The shapes of the two spin-parity hypotheses are constructed as and for and , respectively. Here, and normalize the shapes to the area of the efficiency corrected angular distributions. To test the two different assumptions, we calculate , where is the index of the interval in the angular distributions, is the estimated signal yield in interval , is the corresponding statistical uncertainty, and is the expected number of signal events. The values of for the and assumptions are evaluated as and , respectively. Hence, our results strongly favor the assignment and disfavor the assignment for the .
5 Studies at the other energy points
The process is also searched for at four (two) other energy points. The corresponding integrated luminosities [33] and center-of-mass energies [34] are shown in Table 1. The analysis strategy and event selection are the same as those explained in Sec. 3. The resultant distributions are shown in Fig. 6, together with the results of unbinned maximum likelihood fits as described in Sec. 4.1. The fit results are given in Table 1.
As has been studied with the largest statistics data at , the processes and dominate the processes and , respectively. We assume that this conclusion still holds for the MC simulations of the final states of for the energy points above the or mass thresholds. For the energy points below the mass thresholds, the signal MC simulation samples of the three-body processes are generated with average momentum distributions in the phase space.
Since the four data samples taken at lower energies suffer from low statistics, we also present upper limits at the confidence level on the cross sections. The upper limits are determined using a Bayesian approach with a flat prior. The systematic uncertainties are considered by convolving the likelihood distribution with a Gaussian function representing the systematic uncertainties. The numerical results are summarized in Table 1.
6 Systematic Uncertainties
The systematic uncertainties on the resonance parameters and cross section measurements are summarized in Tables 2 and 3, respectively, where the total systematic uncertainties are obtained by adding all items in quadrature. For each item, details are elaborated as follows.
Tracking efficiency. The difference in tracking efficiency for the kaon and pion reconstruction between the MC simulation and the real data is estimated to be per track [49]. Hence, is taken as the systematic uncertainty for four charged tracks. 2. 2.
PID efficiency. The uncertainty of identifying the particle types of kaon and pion is estimated to be per charged track [49]. Therefore, is taken as the systematic uncertainty for the PID efficiency of the four detected charged tracks. 3. 3.
Signal Model. In the fits of the , the fraction of the -wave and -wave components is varied according to the Belle measurement [46], and the maximum changes on the fit results are taken as systematic uncertainties. In the measurement of the resonance parameters, the uncertainty stemming from the signal model is negligible as the -wave amplitude dominates in the heavy quark limit. 4. 4.
Background Shape. In the measurements of the and resonance parameters, linear background functions are used in the nominal fits. To estimate the uncertainties due to the background parametrization, higher order polynomial functions are studied, and the largest changes on the final results are taken as the systematic uncertainty. In the measurement of ), we replace the ARGUS background shape in the nominal fit with a second-order polynomial function , where is the threshold value and is the same as that in the nominal fit, while and are free parameters. We take the difference on the final results as the systematic uncertainty. 5. 5.
Fit Range. We vary the boundaries of the fit ranges to estimate the relevant systematic uncertainty, which are taken as the maximum changes on the numerical results. 6. 6.
Mass Shift and Detector Resolution. In the nominal fits to measure the and resonance parameters, the effects of a mass shift and the detector resolution are included in the MC determined detector resolution shape. The potential bias from the MC simulations are studied using the control sample of . We select the candidates following the aforementioned selection criteria and plot the distribution to be fitted to the peak. The signal function is composed of a Breit-Wigner shape convolved with a Gaussian function. We extract the detector resolution parameters from a series of fits at different momentum intervals of the candidates. Hence, the absolute resolution parameters for the fits to the or are extrapolated according to the detected momentum. In an alternative fit, we fix the resolution parameters according to this study, instead of to the MC-determined resolution shape. The resultant change in the new fit from the original fit is considered as the systematic uncertainty. 7. 7.
Branching Fraction. The systematic uncertainty in the branching fraction for the process is taken from PDG [5]. 8. 8.
Luminosity. The integrated luminosity of each sample is measured with a precision of with Bhabha scattering events [33]. 9. 9.
Center-of-mass energy. We change the values of center-of-mass energy of each sample according to the uncertainties in Ref. [34] to estimate the systematic uncertainties due to the center-of-mass energy. 10. 10.
Line Shape of Cross Section. The line shape of the cross section (including the intermediate and states) affects the radiative correction factor and the detection efficiency. This uncertainty is estimated by changing the input of the observed line shape to the simulation. In the nominal measurement, a power function of is taken as the input of the observed line shape. Here, is the production threshold energy for the process , and and are parameters determined from fits to the observed line shape. To estimate the uncertainty, we change the exponent of the nominal input power function to and compare the results with the nominal measurement. The largest difference is taken as the systematic uncertainty.
7 Summary
We study the process at 4.600 GeV and observe the two -wave charmed-strange mesons, and . The mass is measured to be and its width is , both consistent with the current world-average values in PDG [5]. The mass and width of the meson are measured to be and , respectively, which are compatible with the LHCb [6, 7] and PDG [5] values. The spin-parity of the meson is determined to be , which confirms the LHCb result [11]. The Born cross sections are measured to be and . The products of the Born cross section and the decay branching fraction are measured to be and . In addition, the processes are searched for using small data samples taken at four (two) center-of-mass energies between 4.416 (4.527) and 4.575 GeV, and upper limits at the confidence level on the cross sections are determined.
8 Acknowledgments
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; 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 Swedish Research Council; U. S. Department of Energy under Contracts Nos. DE-FG02-05ER41374, DE-SC-0010118, DE-SC-0010504, DE-SC-0012069; University of Groningen (RuG) and the Helmholtzzentrum fuer Schwerionenforschung GmbH (GSI), Darmstadt.
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