Measurement of the Dynamics of the Decays ${ D_s^+ \rightarrow \eta^{(\prime)} e^{+} \nu_e}$
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, F. Bianchi, E. Boger, I. Boyko, R. A. Briere

TL;DR
This study measures the decay rates and form factors of $D_s^+$ meson decays to $ a^{("}e^{+} u_e$ and determines the $ a- a'$ mixing angle, providing new insights into charm meson decay dynamics.
Contribution
First measurements of the decay dynamics of $D_s^+ o a^{("}e^{+} u_e$ decays and the $ a- a'$ mixing angle in the quark flavor basis.
Findings
Branching fractions: $ a e^{+} u_e$ = (2.323 ± 0.063 ± 0.063)% and $ a' e^{+} u_e$ = (0.824 ± 0.073 ± 0.027)%
Mixing angle $ a_{ m P} = (40.1 ± 2.1 ± 0.7)^ ext{o}$
Product of form factors and CKM matrix element: $f_+^{ a}(0)|V_{cs}| = 0.4455 ± 0.0053 ± 0.0044$ and $f_+^{ a'}(0)|V_{cs}| = 0.477 ± 0.049 ± 0.011$
Abstract
Using annihilation data corresponding to an integrated luminosity of 3.19\,fb collected at a center-of-mass energy of 4.178~GeV with the BESIII detector, we measure the absolute branching fractions = and = via a tagged analysis technique, where one is fully reconstructed in a hadronic mode. Combining these measurements with previous BESIII measurements of , the mixing angle in the quark flavour basis is determined to be . From the first measurements of the dynamics of decays, the products of…
| Decay | decay | (%) | (%) | |
|---|---|---|---|---|
| 41.11(27) | 1834(47) | 2.323(63)(63) | ||
| 16.06(31) | ||||
| 14.07(10) | 261(22) | 0.824(73)(27) | ||
| 18.98(10) |
| Case | Simple pole | Modified pole | Series 2 Par. | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 12.2/14 | 11.4/14 | 11.5/14 | |||||||
| 1.8/4 | 1.8/4 | 1.9/4 | |||||||
| CLFQM Verma:2011yw | CQM Melikhov:2000yu | CCQM Soni:2018adu | 3PSR Colangelo:2001cv | LCSR Azizi:2010zj | LCSR Offen:2013nma | LQCDA Bali:2014pva | LQCDB Bali:2014pva | LCSR Duplancic:2015zna | BESIII | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.76 | 0.78 | 0.78(12) | 0.50(4) | 0.45(15) | 0.432(33) | 0.564(11) | 0.542(13) | 0.495(30) | 0.4576(70) | |
| - | 0.78 | 0.73(11) | - | 0.55(18) | 0.520(88) | 0.437(18) | 0.404(25) | 0.558(47) | 0.490(51) |
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Measurement of the Dynamics of the Decays
M. Ablikim1, M. N. Achasov10,d, S. Ahmed15, M. Albrecht4, M. Alekseev55A,55C, A. Amoroso55A,55C, F. F. An1, Q. An52,42, J. Z. Bai1, Y. Bai41, O. Bakina27, R. Baldini Ferroli23A, Y. Ban35, K. Begzsuren25, D. W. Bennett22, J. V. Bennett5, N. Berger26, M. Bertani23A, D. Bettoni24A, F. Bianchi55A,55C, E. Boger27,b, 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, G. Chelkov27,b,c, G. Chen1, H. S. Chen1,46, J. C. Chen1, M. L. Chen1,42, P. L. Chen53, S. J. Chen33, X. R. Chen30, Y. B. Chen1,42, W. Cheng55C, X. K. Chu35, 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. Fang1,42, S. S. Fang1,46, Y. Fang1, R. Farinelli24A,24B, L. Fava55B,55C, S. Fegan26, F. Feldbauer4, G. Felici23A, C. Q. Feng52,42, E. Fioravanti24A, M. Fritsch4, C. D. Fu1, Q. Gao1, X. L. Gao52,42, Y. Gao44, Y. G. Gao6, Z. Gao52,42, B. Garillon26, I. Garzia24A, A. Gilman49, K. Goetzen11, L. Gong34, W. X. Gong1,42, W. Gradl26, M. Greco55A,55C, L. M. Gu33, M. H. Gu1,42, Y. T. Gu13, A. Q. Guo1, 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, X. Q. He51, F. H. Heinsius4, T. Held4, Y. K. Heng1,42,46, 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, Z. L. Huang31, T. Hussain54, W. Ikegami Andersson56, M. Irshad52,42, Q. Ji1, Q. P. Ji16, X. B. Ji1,46, X. L. Ji1,42, X. S. Jiang1,42,46, X. Y. Jiang34, J. B. Jiao36, Z. Jiao18, D. P. Jin1,42,46, S. Jin1,46, 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. Kornicer47, M. Kuemmel4, M. Kuessner4, A. Kupsc56, M. Kurth1, W. Kühn28, J. S. Lange28, P. Larin15, L. Lavezzi55C, S. Leiber4, H. Leithoff26, C. Li56, Cheng Li52,42, D. M. Li60, F. Li1,42, F. Y. Li35, G. Li1, H. B. Li1,46, H. J. Li1,46, J. C. Li1, J. W. Li40, K. J. Li43, Kang Li14, 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. L Liu41, H. M. Liu1,46, Huanhuan Liu1, Huihui Liu17, J. B. Liu52,42, J. Y. Liu1,46, K. Y. Liu31, Ke Liu6, L. D. Liu35, Q. Liu46, S. B. Liu52,42, X. Liu30, Y. B. Liu34, Z. A. Liu1,42,46, Zhiqing Liu26, Y. F. Long35, X. C. Lou1,42,46, H. J. Lu18, J. G. Lu1,42, Y. Lu1, Y. P. Lu1,42, C. L. Luo32, M. X. Luo59, T. Luo9,j, 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, T. Ma1, X. N. Ma34, X. Y. Ma1,42, Y. M. Ma36, F. E. Maas15, M. Maggiora55A,55C, S. Maldaner26, Q. A. Malik54, A. Mangoni23B, Y. J. Mao35, Z. P. Mao1, S. Marcello55A,55C, Z. X. Meng48, J. G. Messchendorp29, G. Mezzadri24B, 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, I. B. Nikolaev10,d, Z. Ning1,42, S. Nisar8, S. L. Niu1,42, X. Y. Niu1,46, S. L. Olsen46,k, Q. Ouyang1,42,46, S. Pacetti23B, Y. Pan52,42, M. Papenbrock56, P. Patteri23A, M. Pelizaeus4, J. Pellegrino55A,55C, H. P. Peng52,42, Z. Y. Peng13, 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,i, C. F. Redmer26, M. Richter4, M. Ripka26, A. Rivetti55C, M. Rolo55C, G. Rong1,46, Ch. Rosner15, A. Sarantsev27,e, M. Savrié24B, 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, G. X. Sun1, J. F. Sun16, L. Sun57, S. S. Sun1,46, X. H. Sun1, Y. J. Sun52,42, Y. K Sun52,42, Y. Z. Sun1, Z. J. Sun1,42, Z. T. Sun1, Y. T 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. Wang35, D. Y. Wang35, Dan Wang46, 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. 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, Y. Xia20, 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, Y. H. Yan20, H. J. Yang37,h, H. X. Yang1, L. Yang57, R. X. Yang52,42, Y. H. Yang33, Y. X. Yang12, Yifan Yang1,46, Z. Q. Yang20, M. Ye1,42, M. H. Ye7, J. H. Yin1, Z. Y. You43, B. X. Yu1,42,46, C. X. Yu34, J. S. Yu30, J. S. Yu20, C. Z. Yuan1,46, Y. Yuan1, A. Yuncu45B,a, A. A. Zafar54, Y. Zeng20, 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. Zhang52,42, Y. H. Zhang1,42, Y. T. 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, Xiaoyu Zhou20, Xu Zhou20, A. N. Zhu1,46, J. Zhu34, J. Zhu43, 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 Institute of Information Technology, Lahore, 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. *
Abstract
Using annihilation data corresponding to an integrated luminosity of 3.19 fb*-1* collected at a center-of-mass energy of 4.178 GeV with the BESIII detector, we measure the absolute branching fractions = and = via a tagged analysis technique, where one is fully reconstructed in a hadronic mode. Combining these measurements with previous BESIII measurements of , the mixing angle in the quark flavour basis is determined to be . From the first measurements of the dynamics of decays, the products of the hadronic form factors and the Cabibbo-Kobayashi-Maskawa matrix element are determined with different form factor parametrizations. For the two-parameter series expansion, the results are and .
Exclusive semi-leptonic (SL) decays provide a powerful way to extract the weak and strong interaction couplings of quarks due to simple theoretical treatment Riggio:2017zwh ; Zhang:2018jtm ; Fang:2014sqa . In the Standard Model, the rate of and depends not only on , an element of the Cabibbo-Kobayashi-Maskawa (CKM) matrix describing weak transitions between the charm and strange quarks, but also on the dynamics of strong interaction, parameterized by the form factor (FF) , where is the momentum transfer to the system. Unlike the final-state hadrons and , the mesons are especially intriguing because the spectator quark plays an important role in forming the final state. This gives access to the singlet-octet mixing of -gluon Christ:2010dd ; Dudek:2011tt , whose mixing parameter can be determined from the SL decays, and, consequently, gives a deeper understanding of non-perturbative QCD confinement.
Recently, the FFs were calculated using lattice quantum chromodynamics (LQCD) Bali:2014pva and QCD light-cone sum rules (LCSR) Offen:2013nma ; Duplancic:2015zna by assuming particular admixtures of quarks and gluons DiDonato:2011kr ; Ambrosino:2006gk ; Aaij:2014jna for and mesons. As information concerning the gluon content in the remains inconclusive, large uncertainties may be involved. Measurements of are crucial to calibrate these theoretical calculations. Once the predicted pass these experimental tests, they will help determine , and, in return, help test the unitarity of the CKM quark mixing matrix. Additionally, measurements of the branching fractions (BFs) of can shed light on -gluon mixing. The mixing angle in the quark flavour basis, , can be related to the BFs of the and via , in which a possible gluon component cancels DiDonato:2011kr . Determination of gives a complementary constraint on the role of gluonium in the , thus helping to improve our understanding of nonperturbative QCD dynamics and benefiting theoretical calculations of and decays involving the .
Previous measurements of the BFs of were made by CLEO Brandenburg:1995qq ; Yelton:2009aa ; Hietala:2015jqa and BESIII Ablikim:2016rqq , but these measurements include large uncertainties. This Letter reports improved measurements of the BFs and the first experimental studies of the dynamics of ref:ChargeConjugation . Based on these, the first measurements of are made, and measurements of and are presented.
This analysis is performed using collision data corresponding to an integrated luminosity of 3.19 fb*-1* taken at a center-of-mass energy GeV with the BESIII detector. A description of the design and performance of the BESIII detector can be found in Ref. Ablikim2010345 . For the data used in this Letter, the end cap time-of-flight system was upgraded with multi-gap resistive plate chambers with a time resolution of 60 ps Lxin ; Gyingxiao . Monte Carlo (MC) simulated events are generated with a geant4-based Agostinelli:2002hh detector simulation software package, which includes the geometric description and a simulation of the response of the detector. An inclusive MC sample with equivalent luminosity 35 times that of data is produced at GeV. It includes open charm processes, initial state radiation (ISR) production of , and , ) continuum processes, along with Bhabha scattering, , and events. The open charm processes are generated using conexc Ping:2013jka . The effects of ISR and final state radiation (FSR) are considered. The known particle decays are generated with the BFs taken from the Particle Data Group (PDG) Tanabashi:2018oca by evtgen ref:evtgen , and the other modes are generated using lundcharm ref:lundcharm . The SL decays are simulated with the modified pole model Chikilev:1999zn .
At GeV, mesons are produced mainly from the processes . We first fully reconstruct one in one of several hadronic decay modes [called the single-tag (ST) ]. We then examine the SL decays of the and the from the [called double-tag (DT) ]. The BF of the SL decay is determined by
[TABLE]
where and are the ST and DT yields in data, is the efficiency of finding determined by , where and are the efficiencies of selecting ST and DT candidates in the -th tag mode, and estimated by analyzing the inclusive MC sample and the independent signal MC events of various DT modes, respectively.
The ST candidates are reconstructed using fourteen hadronic decay modes as shown in Fig. 1. The selection criteria for charged tracks and , and the particle identification (PID) requirements for and , are the same as those used in Ref. Ablikim:2018jun . Positron PID is performed by using the specific ionization energy loss in the main drift chamber, the time of flight, and the energy deposited in the electromagnetic calorimeter (EMC). Confidence levels for the pion, kaon and positron hypotheses (, and ) are formed. Positron candidates must satisfy and . The energy loss of the positron due to bremsstrahlung is partially recovered by adding the energies of the EMC showers that are within of the positron direction and not matched to other particles (FSR recovery).
Photon candidates are selected from the EMC showers that begin within 700 ns of the event start time and have an energy greater than 25 (50) MeV in the barrel (endcap) region of the EMC Ablikim2010345 . Candidates of or are formed by photon pairs with an invariant mass in the range (0.115, 0.150) or (0.50, 0.57) GeV/. To improve the momentum resolution, the invariant mass is constrained to the or nominal mass Tanabashi:2018oca via a kinematic fit. Candidates of , , , , and are formed from , ,, and combinations whose invariant masses fall in the ranges , , , , and GeV/, respectively.
To remove soft pions originating from transitions, the momenta of pions from the ST are required to be larger than 0.1 GeV/. For the tag modes and , the contributions of and are removed by requiring outside GeV/ around the nominal mass Tanabashi:2018oca .
The ST mesons are identified by the beam constrained mass and the recoil mass , where is the 3-momentum of the ST candidate and is the nominal mass Tanabashi:2018oca . Non- events are suppressed by requiring GeV/. In each event, only the candidate with closest to the nominal mass Tanabashi:2018oca is chosen. The ST yield is determined by fits to the spectra for each of the 14 tag modes shown in Fig. 1, where is the invariant mass of the ST candidate. Signals and the peaking background in the mode are described by MC-simulated shapes. The nonpeaking background is modeled by a second- or third-order Chebychev polynomial. To account for the resolution difference between data and MC simulation, the MC simulated shape(s) is convolved with a Gaussian for each tag mode. The reliability of the fitted nonpeaking background has been verified using the inclusive MC sample. Events in the signal regions, denoted by the boundaries in each subfigure of Fig. 1, are kept for further analysis. The total ST yield is .
Once the tag has been found, the photon or from the transition is selected. We define the energy difference , where , and [ or tag] are the energy and momentum of or tag, respectively. All unused or candidates are looped over and that with the minimum is chosen. Candidates with GeV are accepted. The signal candidates are examined by the kinematic variable where and ( or ) are the energy and momentum of or . To suppress backgrounds from hadronic decays, the maximum energy of the unused showers () must be less than 0.3 GeV and events with additional charged tracks () are removed. We require GeV/ for and for to further suppress the and backgrounds, where is the helicity angle between the momentum directions of the and the in the rest frame.
Figure 2 shows the MM2 distribution after all selection criteria have been applied. The signal yields are determined from a simultaneous unbinned maximum likelihood fit to these spectra, where measured using two different subdecays are constrained to be the same after considering the different efficiencies and subdecay BFs. The signal and background components in the fit are described by shapes derived from MC simulation. For the decay , some peaking background from still remains. This background is modeled by a separate component in the fit; its size and shape are fixed based on MC simulation.
Table 1 summarizes the efficiencies for finding SL decays, the observed signal yields, and the obtained BFs.
With the DT method, the BF measurements are insensitive to the ST selection. The following relative systematic uncertainties in the BF measurements are assigned. The uncertainty in the ST yield is estimated to be 0.6% by alternative fits to the spectra with different signal shapes, background parameters, and fit ranges. The uncertainties in the tracking or PID efficiencies are assigned as 0.5% per by studying , and 0.5% per by radiative Bhabha process, respectively. The uncertainties of the and requirements are estimated to be 0.5% and 0.9% by analyzing DT hadronic events. The uncertainties of the requirement, FSR recovery and requirement are estimated with and without each requirement, and the BF changes are 0.8%, 0.8%, and 0.1%, respectively, which are taken as the individual uncertainties. The uncertainties of the selection of neutral particles are assigned as 1.0% per photon by studying Ablikim:2011kv and 1.0% per or by studying . The uncertainty due to the signal model is estimated to be 0.5% by comparing the DT efficiencies before and after re-weighting the distribution of the signal MC events to data. The uncertainty of the fit is assigned as 0.9%, 1.3%, 1.2% and 1.2% for , , and (the same sequence later), respectively, by repeating fits with different fit ranges and different signal and background shapes. The ST efficiencies may be different due to the different multiplicities in the tag environments, leading to incomplete cancelation of the systematic uncertainties associated with the ST selection. The associated uncertainty is assigned as 0.4%, 0.3%, 0.3%, 0.3%, from studies of the efficiency differences for tracking and PID of and as well as the selection of neutral particles between data and MC simulation in different environments. The uncertainty due to the requirement is found to be negligible. The uncertainty due to peaking background is assigned to be 1.4% by varying its size by of the corresponding BF. The uncertainties due to the quoted BFs, 0.9%, 1.4%, 1.8% and 1.9% of decays Tanabashi:2018oca are also considered. For each decay, the total systematic uncertainty is determined to be 2.7%, 3.3%, 3.4% and 4.0% by adding all these uncertainties in quadrature.
With the BFs measured in this work, we determine the BF ratio , where the systematic uncertainties on the ST yield and due to the photon from , FSR recovery, tracking and PID of cancel. Using these BFs and reported in Ref. Zhangyu:Dptoetaenu , we determine the mixing angle to be . This result is consistent with previous measurements using decays DiDonato:2011kr and decays Ambrosino:2006gk within uncertainties.
To study the dynamics, the candidate events are divided into various intervals. The measured partial decay width in the th interval is determined by , where is the lifetime of the meson Tanabashi:2018oca ; Aaij:2017vqj , and is the DT yield produced in the th interval, calculated by . Here is the number of intervals, is the observed DT yield obtained from similar fits to the MM2 distribution as described previously, and is the efficiency matrix determined from signal MC events and is given by , where is the DT yield generated in the th interval and reconstructed in the th interval, is the total signal yield generated in the th interval, and sums over all tag modes. See Tables 1 and 2 of Ref. [30] for details about the range, , , and of each interval for and , respectively.
In theory, the differential decay width can be expressed
[TABLE]
where is the magnitude of the meson 3-momentum in the rest frame and is the Fermi constant. In the modified pole model Becher:2005bg ,
[TABLE]
where is fixed to and is a free parameter. Setting and leaving free, it is the simple pole model Becirevic:1999kt . In the two-parameter (2 Par.) series expansion Becher:2005bg
[TABLE]
Here, , , , , and is a free parameter. The functions , , and are defined following Ref. Becher:2005bg .
For each SL decay, the product and one other parameter, , , or , are determined by constructing and minimizing
[TABLE]
with and the theoretically expected value , where is the covariance matrix of among intervals, as shown in Tables 3 and 4 in Ref. Supplement . For each subdecay, the statistical covariance matrix is constructed with the statistical uncertainty in each interval () as . The systematic covariance matrix is obtained by summing all the covariance matrices for all systematic uncertainties, which are all constructed with the systematic uncertainty in each interval () as . Here, an additional systematic uncertainty in (0.8%) Tanabashi:2018oca ; Aaij:2017vqj is involved besides those in the BF measurements.
The measured by the two subdecays are fitted simultaneously, with results shown in Fig 3. In the fits, the becomes a vector of length . Uncorrelated systematic uncertainties are from tag bias, quoted BFs, (and ) reconstruction, and FF parametrization, while other systematic uncertainties are fully correlated. Table 2 summarizes the fit results, where the obtained with different FF parameterizations are consistent with each other.
Combining from the global fit in the SM Tanabashi:2018oca with extracted from the two-parameter series expansion, we determine and . Table 3 compares the measured FFs with various theoretical calculations within uncertainties. When combining and calculated from Ref. Offen:2013nma , we obtain and , respectively. These results agree with the measurements of using Ablikim:2015ixa ; Ablikim:2015qgt ; Ablikim:2018evp ; Besson:2009uv ; Aubert:2007wg ; Widhalm:2006wz and decays Ablikim:2016duz ; Zupanc:2013byn ; delAmoSanchez:2010jg ; Onyisi:2009th ; Naik:2009tk within uncertainties.
In summary, by analyzing a data sample of 3.19 fb*-1* taken at GeV with the BESIII detector, we measure the absolute BFs of with a DT method. The precision is improved by a factor of 2 compared to the world average values. Using these BFs and measured in our previous work Zhangyu:Dptoetaenu , we determine the mixing angle , which provides complementary data to constrain the gluon component in the meson. From an analysis of the dynamics in , the products of are determined for the first time. Furthermore, by taking from a standard model fit (CKMfitter, Tanabashi:2018oca ) as input, we determine the form factor at zero momentum transfer for the first time. The obtained FFs provide important data to distinguish various theoretical calculations Bali:2014pva ; Offen:2013nma ; Duplancic:2015zna ; Melikhov:2000yu ; Soni:2018adu ; Colangelo:2001cv ; Azizi:2010zj . Alternatively, we also determine with decays for the first time, by taking values for calculated in theory. Our result on together with those measured by and are important to test the unitarity of the CKM matrix.
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; 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. U1632109, 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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