Observation of the decay $\Lambda_c^+\rightarrow \Sigma^- \pi^+\pi^+\pi^0$
BESIII Collaboration, M Ablikim, M N Achasov, S Ahmed, M Albrecht, A, Amoroso, F F An, Q An, J Z Bai, O Bakina, R Baldini Ferroli, Y Ban, D W, Bennett, J V Bennett, N Berger, M Bertani, D Bettoni, J M Bian, F Bianchi, E, Boger, I Boyko, R A Briere, H Cai, X Cai, O Cakir

TL;DR
This paper reports the first observation and measurement of the decay $oldsymbol{ ext{Lambda}_c^+ ightarrow ext{Sigma}^- ext{pi}^+ ext{pi}^+ ext{pi}^0}$, providing new data on charmed baryon decay modes using $e^+e^-$ collision data at BESIII.
Contribution
The paper presents the first observation of a specific Lambda_c^+ decay mode and provides precise measurements of its branching fraction, improving understanding of charmed baryon decays.
Findings
First observation of $ ext{Lambda}_c^+ ightarrow ext{Sigma}^- ext{pi}^+ ext{pi}^+ ext{pi}^0$ decay.
Branching fraction measured as $(2.11 \pm0.33 ext{(stat.)} ext{±}0.14 ext{(syst.)}) ext{ extperthousand}$.
Improved measurement of $ ext{Lambda}_c^+ ightarrow ext{Sigma}^- ext{pi}^+ ext{pi}^+$ decay.
Abstract
We report the first observation of the decay , based on data obtained in annihilations with an integrated luminosity of 567~pb at ~GeV. The data were collected with the BESIII detector at the BEPCII storage rings. The absolute branching fraction is determined to be . In addition, an improved measurement of is determined as .
| Mode | (GeV) | |
|---|---|---|
| Source | [%] | [%] |
|---|---|---|
| tracking | 3.0 | 3.0 |
| identification | 3.0 | 3.0 |
| reconstruction | 2.0 | |
| Fit to | 2.0 | 3.6 |
| Signal modelling | 2.0 | 2.0 |
| MC statistics | 0.6 | 0.7 |
| 1.0 | 1.0 | |
| Total | 5.2 | 6.4 |
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Observation of the decay
M. Ablikim1, M. N. Achasov9,e, S. Ahmed14, M. Albrecht4, A. Amoroso50A,50C, F. F. An1, Q. An47,a, J. Z. Bai1, O. Bakina24, R. Baldini Ferroli20A, Y. Ban32, D. W. Bennett19, J. V. Bennett5, N. Berger23, M. Bertani20A, D. Bettoni21A, J. M. Bian45, F. Bianchi50A,50C, E. Boger24,c, I. Boyko24, R. A. Briere5, H. Cai52, X. Cai1,a, O. Cakir42A, A. Calcaterra20A, G. F. Cao1, S. A. Cetin42B, J. Chai50C, J. F. Chang1,a, G. Chelkov24,c,d, G. Chen1, H. S. Chen1, J. C. Chen1, M. L. Chen1,a, S. J. Chen30, X. R. Chen27, Y. B. Chen1,a, X. K. Chu32, G. Cibinetto21A, H. L. Dai1,a, J. P. Dai35,j, A. Dbeyssi14, D. Dedovich24, Z. Y. Deng1, A. Denig23, I. Denysenko24, M. Destefanis50A,50C, F. De Mori50A,50C, Y. Ding28, C. Dong31, J. Dong1,a, L. Y. Dong1, M. Y. Dong1,a, O. Dorjkhaidav22, Z. L. Dou30, S. X. Du54, P. F. Duan1, J. Fang1,a, S. S. Fang1, X. Fang47,a, Y. Fang1, R. Farinelli21A,21B, L. Fava50B,50C, S. Fegan23, F. Feldbauer23, G. Felici20A, C. Q. Feng47,a, E. Fioravanti21A, M. Fritsch14,23, C. D. Fu1, Q. Gao1, X. L. Gao47,a, Y. Gao41, Y. G. Gao6, Z. Gao47,a, I. Garzia21A, K. Goetzen10, L. Gong31, W. X. Gong1,a, W. Gradl23, M. Greco50A,50C, M. H. Gu1,a, S. Gu15, Y. T. Gu12, A. Q. Guo1, L. B. Guo29, R. P. Guo1, Y. P. Guo23, Z. Haddadi26, S. Han52, X. Q. Hao15, F. A. Harris44, K. L. He1, X. Q. He46, F. H. Heinsius4, T. Held4, Y. K. Heng1,a, T. Holtmann4, Z. L. Hou1, C. Hu29, H. M. Hu1, T. Hu1,a, Y. Hu1, G. S. Huang47,a, J. S. Huang15, X. T. Huang34, X. Z. Huang30, Z. L. Huang28, T. Hussain49, W. Ikegami Andersson51, Q. Ji1, Q. P. Ji15, X. B. Ji1, X. L. Ji1,a, X. S. Jiang1,a, X. Y. Jiang31, J. B. Jiao34, Z. Jiao17, D. P. Jin1,a, S. Jin1, T. Johansson51, A. Julin45, N. Kalantar-Nayestanaki26, X. L. Kang1, X. S. Kang31, M. Kavatsyuk26, B. C. Ke5, T. Khan47,a, P. Kiese23, R. Kliemt10, L. Koch25, O. B. Kolcu42B,h, B. Kopf4, M. Kornicer44, M. Kuemmel4, M. Kuhlmann4, A. Kupsc51, W. Kühn25, J. S. Lange25, M. Lara19, P. Larin14, L. Lavezzi50C,1, H. Leithoff23, C. Leng50C, C. Li51, Cheng Li47,a, D. M. Li54, F. Li1,a, F. Y. Li32, G. Li1, H. B. Li1, H. J. Li1, J. C. Li1, Jin Li33, K. Li13, K. Li34, Lei Li3, P. L. Li47,a, P. R. Li7,43, Q. Y. Li34, T. Li34, W. D. Li1, W. G. Li1, X. L. Li34, X. N. Li1,a, X. Q. Li31, Z. B. Li40, H. Liang47,a, Y. F. Liang37, Y. T. Liang25, G. R. Liao11, D. X. Lin14, B. Liu35,j, B. J. Liu1, C. X. Liu1, D. Liu47,a, F. H. Liu36, Fang Liu1, Feng Liu6, H. B. Liu12, H. H. Liu16, H. H. Liu1, H. M. Liu1, J. B. Liu47,a, J. P. Liu52, J. Y. Liu1, K. Liu41, K. Y. Liu28, Ke Liu6, L. D. Liu32, P. L. Liu1,a, Q. Liu43, S. B. Liu47,a, X. Liu27, Y. B. Liu31, Y. Y. Liu31, Z. A. Liu1,a, Zhiqing Liu23, Y. F. Long32, X. C. Lou1,a,g, H. J. Lu17, J. G. Lu1,a, Y. Lu1, Y. P. Lu1,a, C. L. Luo29, M. X. Luo53, T. Luo44, X. L. Luo1,a, X. R. Lyu43, F. C. Ma28, H. L. Ma1, L. L. Ma34, M. M. Ma1, Q. M. Ma1, T. Ma1, X. N. Ma31, X. Y. Ma1,a, Y. M. Ma34, F. E. Maas14, M. Maggiora50A,50C, Q. A. Malik49, Y. J. Mao32, Z. P. Mao1, S. Marcello50A,50C, J. G. Messchendorp26, G. Mezzadri21B, J. Min1,a, T. J. Min1, R. E. Mitchell19, X. H. Mo1,a, Y. J. Mo6, C. Morales Morales14, G. Morello20A, N. Yu. Muchnoi9,e, H. Muramatsu45, P. Musiol4, A. Mustafa4, Y. Nefedov24, F. Nerling10, I. B. Nikolaev9,e, Z. Ning1,a, S. Nisar8, S. L. Niu1,a, X. Y. Niu1, S. L. Olsen33, Q. Ouyang1,a, S. Pacetti20B, Y. Pan47,a, P. Patteri20A, M. Pelizaeus4, J. Pellegrino50A,50C, H. P. Peng47,a, K. Peters10,i, J. Pettersson51, J. L. Ping29, R. G. Ping1, R. Poling45, V. Prasad39,47, H. R. Qi2, M. Qi30, S. Qian1,a, C. F. Qiao43, J. J. Qin43, N. Qin52, X. S. Qin1, Z. H. Qin1,a, J. F. Qiu1, K. H. Rashid49, C. F. Redmer23, M. Richter4, M. Ripka23, G. Rong1, Ch. Rosner14, X. D. Ruan12, A. Sarantsev24,f, M. Savrié21B, C. Schnier4, K. Schoenning51, W. Shan32, M. Shao47,a, C. P. Shen2, P. X. Shen31, X. Y. Shen1, H. Y. Sheng1, J. J. Song34, X. Y. Song1, S. Sosio50A,50C, C. Sowa4, S. Spataro50A,50C, G. X. Sun1, J. F. Sun15, S. S. Sun1, X. H. Sun1, Y. J. Sun47,a, Y. K Sun47,a, Y. Z. Sun1, Z. J. Sun1,a, Z. T. Sun19, C. J. Tang37, G. Y. Tang1, X. Tang1, I. Tapan42C, M. Tiemens26, B. T. Tsednee22, I. Uman42D, G. S. Varner44, B. Wang1, B. L. Wang43, D. Wang32, D. Y. Wang32, Dan Wang43, K. Wang1,a, L. L. Wang1, L. S. Wang1, M. Wang34, P. Wang1, P. L. Wang1, W. P. Wang47,a, X. F. Wang41, Y. D. Wang14, Y. F. Wang1,a, Y. Q. Wang23, Z. Wang1,a, Z. G. Wang1,a, Z. H. Wang47,a, Z. Y. Wang1, Z. Y. Wang1, T. Weber23, D. H. Wei11, P. Weidenkaff23, S. P. Wen1, U. Wiedner4, M. Wolke51, L. H. Wu1, L. J. Wu1, Z. Wu1,a, L. Xia47,a, Y. Xia18, D. Xiao1, H. Xiao48, Y. J. Xiao1, Z. J. Xiao29, Y. G. Xie1,a, Y. H. Xie6, X. A. Xiong1, Q. L. Xiu1,a, G. F. Xu1, J. J. Xu1, L. Xu1, Q. J. Xu13, Q. N. Xu43, X. P. Xu38, L. Yan50A,50C, W. B. Yan47,a, W. C. Yan47,a, Y. H. Yan18, H. J. Yang35,j, H. X. Yang1, L. Yang52, Y. H. Yang30, Y. X. Yang11, M. Ye1,a, M. H. Ye7, J. H. Yin1, Z. Y. You40, B. X. Yu1,a, C. X. Yu31, J. S. Yu27, C. Z. Yuan1, Y. Yuan1, A. Yuncu42B,b, A. A. Zafar49, Y. Zeng18, Z. Zeng47,a, B. X. Zhang1, B. Y. Zhang1,a, C. C. Zhang1, D. H. Zhang1, H. H. Zhang40, H. Y. Zhang1,a, J. Zhang1, J. L. Zhang1, J. Q. Zhang1, J. W. Zhang1,a, J. Y. Zhang1, J. Z. Zhang1, K. Zhang1, L. Zhang41, S. Q. Zhang31, X. Y. Zhang34, Y. Zhang1, Y. Zhang1, Y. H. Zhang1,a, Y. T. Zhang47,a, Yu Zhang43, Z. H. Zhang6, Z. P. Zhang47, Z. Y. Zhang52, G. Zhao1, J. W. Zhao1,a, J. Y. Zhao1, J. Z. Zhao1,a, Lei Zhao47,a, Ling Zhao1, M. G. Zhao31, Q. Zhao1, S. J. Zhao54, T. C. Zhao1, Y. B. Zhao1,a, Z. G. Zhao47,a, A. Zhemchugov24,c, B. Zheng48, J. P. Zheng1,a, W. J. Zheng34, Y. H. Zheng43, B. Zhong29, L. Zhou1,a, X. Zhou52, X. K. Zhou47,a, X. R. Zhou47,a, X. Y. Zhou1, Y. X. Zhou12,a, K. Zhu1, K. J. Zhu1,a, S. Zhu1, S. H. Zhu46, X. L. Zhu41, Y. C. Zhu47,a, Y. S. Zhu1, Z. A. Zhu1, J. Zhuang1,a, L. Zotti50A,50C, 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 G.I. Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
10 GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
11 Guangxi Normal University, Guilin 541004, People’s Republic of China
12 Guangxi University, Nanning 530004, People’s Republic of China
13 Hangzhou Normal University, Hangzhou 310036, People’s Republic of China
14 Helmholtz Institute Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
15 Henan Normal University, Xinxiang 453007, People’s Republic of China
16 Henan University of Science and Technology, Luoyang 471003, People’s Republic of China
17 Huangshan College, Huangshan 245000, People’s Republic of China
18 Hunan University, Changsha 410082, People’s Republic of China
19 Indiana University, Bloomington, Indiana 47405, USA
20 (A)INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy; (B)INFN and University of Perugia, I-06100, Perugia, Italy
21 (A)INFN Sezione di Ferrara, I-44122, Ferrara, Italy; (B)University of Ferrara, I-44122, Ferrara, Italy
22 Institute of Physics and Technology, Peace Ave. 54B, Ulaanbaatar 13330, Mongolia
23 Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
24 Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
25 Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
26 KVI-CART, University of Groningen, NL-9747 AA Groningen, The Netherlands
27 Lanzhou University, Lanzhou 730000, People’s Republic of China
28 Liaoning University, Shenyang 110036, People’s Republic of China
29 Nanjing Normal University, Nanjing 210023, People’s Republic of China
30 Nanjing University, Nanjing 210093, People’s Republic of China
31 Nankai University, Tianjin 300071, People’s Republic of China
32 Peking University, Beijing 100871, People’s Republic of China
33 Seoul National University, Seoul, 151-747 Korea
34 Shandong University, Jinan 250100, People’s Republic of China
35 Shanghai Jiao Tong University, Shanghai 200240, People’s Republic of China
36 Shanxi University, Taiyuan 030006, People’s Republic of China
37 Sichuan University, Chengdu 610064, People’s Republic of China
38 Soochow University, Suzhou 215006, People’s Republic of China
39 State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People’s Republic of China
40 Sun Yat-Sen University, Guangzhou 510275, People’s Republic of China
41 Tsinghua University, Beijing 100084, People’s Republic of China
42 (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
43 University of Chinese Academy of Sciences, Beijing 100049, People’s Republic of China
44 University of Hawaii, Honolulu, Hawaii 96822, USA
45 University of Minnesota, Minneapolis, Minnesota 55455, USA
46 University of Science and Technology Liaoning, Anshan 114051, People’s Republic of China
47 University of Science and Technology of China, Hefei 230026, People’s Republic of China
48 University of South China, Hengyang 421001, People’s Republic of China
49 University of the Punjab, Lahore-54590, Pakistan
50 (A)University of Turin, I-10125, Turin, Italy; (B)University of Eastern Piedmont, I-15121, Alessandria, Italy; (C)INFN, I-10125, Turin, Italy
51 Uppsala University, Box 516, SE-75120 Uppsala, Sweden
52 Wuhan University, Wuhan 430072, People’s Republic of China
53 Zhejiang University, Hangzhou 310027, People’s Republic of China
54 Zhengzhou University, Zhengzhou 450001, People’s Republic of China
a Also at State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People’s Republic of China
b Also at Bogazici University, 34342 Istanbul, Turkey
c Also at the Moscow Institute of Physics and Technology, Moscow 141700, Russia
d Also at the Functional Electronics Laboratory, Tomsk State University, Tomsk, 634050, Russia
e Also at the Novosibirsk State University, Novosibirsk, 630090, Russia
f Also at the NRC “Kurchatov Institute”, PNPI, 188300, Gatchina, Russia
g Also at University of Texas at Dallas, Richardson, Texas 75083, USA
h Also at Istanbul Arel University, 34295 Istanbul, Turkey
i Also at Goethe University Frankfurt, 60323 Frankfurt am Main, Germany
j 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
Abstract
We report the first observation of the decay , based on data obtained in annihilations with an integrated luminosity of 567 pb*-1* at GeV. The data were collected with the BESIII detector at the BEPCII storage rings. The absolute branching fraction is determined to be . In addition, an improved measurement of is determined as .
Keywords: branching fraction, charmed baryon, weak decays, annihilation, BESIII
††journal: Physics Letters B
1 Introduction
The study of hadronic decays of charmed baryons provides important information to understand both the strong and the weak interactions [1]. It also provides essential input to understand background contributions in the study of -baryon physics, as decays dominantly to . More than 30 years have passed since the baryon was first observed in annihilations by the Mark II experiment [2] and the knowledge of decays remains very poor compared to that for charmed mesons. So far, measured decay modes account for only about 60% [3] of all decays, primarily consisting of modes with a hyperon or a proton in the final state. Decays to the hyperon are Cabibbo-allowed and are expected to have large rates. However, no experimental measurements exist except for [3]. Therefore, searching for additional decay modes with in the final state is important to build up knowledge on decays. In this paper, we report the first observation of the so-far undetermined, but expected to be large, decay of [4]. In addition, we perform the first absolute measurement of the branching fraction for .
The data analyzed in this work corresponds to an integrated luminosity of pb*-1* [5] of annihilations at center-of-mass energy (c.m.) GeV by the BEPCII collider and collected with the BESIII detector [6]. The c.m. energy is slightly above the threshold for the production of , so pairs are produced with no additional hadrons. The analysis technique in this work, which was first applied in the Mark III experiment [7], is optimized for measuring charm hadron pairs produced near threshold. First, we select the subset of our events in which a is reconstructed in an exclusive hadronic decay mode, designated as the single-tag (ST) sample. Events in this ST sample are then searched for the signal channel in the system recoiling against the ST to select double tag (DT) events. In the final states of , the hyperon is detected through . As the neutron is not reconstructed in this analysis, we deduce its kinematic properties by four-momentum conservation. The absolute branching fraction (BF) of is derived from the probability of detecting the DT signals in the ST sample. Hence, this method provides a clean and straightforward BF measurement that is independent of the number of events produced.
2 BESIII Detector and Monte Carlo Simulation
BESIII [6] is a cylindrical detector with a coverage of 93% of the full solid angle. It consists of a Helium-gas based main drift chamber (MDC), a plastic scintillator time-of-flight (TOF) system, a CsI (Tl) electromagnetic calorimeter (EMC), a superconducting solenoid providing a 1.0 T magnetic field, and a muon detection system in the iron flux return of the magnet. The charged particle momentum resolution is 0.5% at a transverse momentum of 1 GeV/. The photon energy resolution at 1 GeV is 2.5% in the central barrel region and 5.0% in the two end caps. More details about the design and performance of the detector are given in Ref. [6].
A GEANT4-based [8] Monte Carlo (MC) simulation package, which includes the geometric description of the detector and the detector response, is used to determine the detection efficiency and to estimate the potential backgrounds. MC samples of the signal mode , together with a decaying to specified ST modes, are generated with KKMC [9] and EVTGEN [10], taking into account initial-state radiation (ISR) [11] and final-state radiation [12] effects. The decay is simulated by reweighting the phase-space-generated MC events to approximate observed kinematic distributions in data. To understand potential background contributions, an inclusive MC sample is used. It includes generic events, production, ISR return to the charmonium states at lower masses and continuum processes. Previously measured decay modes of the , and are simulated with EVTGEN, using BFs from the Particle Data Group (PDG) [3]. The unknown decays of the states are generated with LUNDCHARM [13].
3 Analysis
The ST and DT selection technique that is used in our analysis follows closely the one used and described in Ref. [14]. We reconstruct the baryons in the eleven hadronic decay modes listed in Table 1. Intermediate particles are reconstructed through their decays , , with , , and . The selection criteria for the proton, kaon, pion, , and candidates used in the reconstruction of the ST signals are described in Ref. [14].
The ST signals are identified using the beam-energy-constrained mass, , where is the beam energy and is the momentum of the candidate in the rest frame of the initial system [15]. To improve the signal purity, the energy difference for each candidate is required to be within approximately of the signal peak position, where is the resolution and is the reconstructed energy. Table 1 shows the mode-dependent requirements and the ST yields in the signal region GeV/, which are obtained by fits to the distributions. See Ref. [14] for more details. The total ST yield is , where the uncertainty is statistical only.
Candidates for the decay with are reconstructed from the tracks not used in the ST reconstruction. It is required that there are only three charged tracks in the system recoiling against the satisfying , where is the polar angle with respect to the beam direction. For the two candidates from the , the distances of closest approach to the interaction point must be within cm along the beam direction and within 1 cm in the perpendicular plane, while the candidate from decay is not subjected to this requirement. Identification of charged tracks is performed by combining the information from the MDC and the time of flight measured in the TOF to obtain the probability for each hadron type . The three charged pions must satisfy . Photon candidates are reconstructed from isolated clusters in the EMC in the regions (barrel) and (end cap). The deposited energy of a neutral cluster is required to be larger than 25 (50) MeV in the barrel (end cap) region, and the angle between the photon candidate and the nearest charged track must be larger than 10∘. To suppress electronic noise and energy deposits unrelated to the event, the difference between the EMC time and the event start time is required to be within ns. To reconstruct candidates, the invariant mass of photon pairs is required to be within (0.110, 0.155) GeV/ and, as a second step, a kinematic fit is implemented to constrain the invariant mass to the nominal mass [3].
The kinematic variable
[TABLE]
is computed to characterize the reconstructed mass of the undetected neutron, where is the energy of the combination and is the three-momentum of the combination. The expected momentum of the is calculated by where is the direction of the momentum of the ST candidate and is the mass of the taken from the PDG [3]. Similarly, we can construct the variable
[TABLE]
to represent the reconstructed mass of the .
The distributions of versus for the and candidates in data are shown in Figs. 1 (a) and (b), respectively, where clusters corresponding to signal decays are evident. To improve the resolution of the signal mass, as well as to better handle the backgrounds around the and neutron mass regions, we determine the signal yields from the distribution of the mass difference , since and are highly correlated. Based on a study of the inclusive MC samples, no peaking backgrounds are expected for these two channels. We perform an unbinned maximum likelihood fit to the spectra, as shown in Figs. 1 (c) and (d). In the fits, the signals are described by non-parametric functions extracted from the signal MC convoluted with a Gaussian function accounting for the resolution difference between data and MC, while the background shapes are described with a second-order polynomial function. The width of the Gaussian is left free in the fit, while its mean is fixed to zero. From the fits, we find the DT signal yields and , where the uncertainties are statistical only. Backgrounds from non- decays are estimated by examining the ST candidates in the sideband GeV/ in data. The backgrounds from non- decays are found to be negligible.
The absolute BFs for and are determined by
[TABLE]
where is the detection efficiency for the decay with . The intermediate decay branching fraction of is included in the denominator of Eq. (1). For each ST mode , the efficiency is obtained by dividing the DT efficiency by the ST efficiency . After weighting by the mode-by-mode ST yields in data, we find the overall average efficiencies and , where the branching fraction for is included. Substituting the values of , , and in Eq. (1), we obtain and , where the first uncertainties are statistical, and the second are systematic, as described below.
With the DT technique, the BF measurement is insensitive to uncertainty in the ST efficiencies. The systematic uncertainties in measuring and mainly arise from the efficiencies of detection and identification, fits to the distributions and the signal modelling in the MC simulation. The systematic uncertainties in the tracking and identification are both determined to be 1.0% by studying a set of samples of , and obtained from data with c.m. energy above 4.0 GeV. The reconstruction efficiency is validated by analyzing DT events with or versus [16]. The difference of the reconstruction efficiencies between data and MC simulations is estimated to be 2.0%. The uncertainty from the fit to the distribution is evaluated by checking the relative changes of with different choices for signal shapes (double Gaussian function), background shapes (first-order polynomial function, third-order polynomial function and a MC-derived background shape) and fit ranges ((0.19, 0.34) GeV/). The uncertainty in modelling the signal process is obtained by varying the reweighting factors of the observed kinematic variables within their statistical uncertainties and extracting the difference of the resultant efficiencies. The difference is estimated to be 2.0% for the studied channels and is taken as the systematic uncertainty due to the signal modelling. In addition, there are systematic uncertainties in obtaining evaluated by using alternative signal shapes in the fits to the spectra [14], resulting in an uncertainty of 1.0%, and in the statistical limitation of the MC samples, which is estimated to be 0.6 (0.7)% for . The uncertainties from the BFs of and are negligible. All of the above systematic uncertainties are summarized in Table 2, and the total uncertainties are evaluated to be 5.2% and 6.4% for and , respectively, by combining all items in quadrature.
4 Summary
Based on an collision data sample with an integrated luminosity of 567 pb*-1* taken at GeV with the BESIII detector, we report the first observation of the decay and the first absolute BF measurement for . The results are and , where the first uncertainties are statistical and the second are systematic.
Our result for is consistent with and more precise than the previous result [3]. BESIII measured the BF of the isospin symmetric channel [17]. This allows us to determine the ratio , where the first uncertainty is statistical and the second systematic. The statistical uncertainty of the ratio dominates, as many common systematic uncertainties cancel. This is consistent with and more precise than the value previously measured by the E687 Collaboration [18].
5 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. 11125525, 11235011, 11275266, 11305180, 11322544, 11322544, 11335008, 11425524, 11505010; 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. U1332201, U1532257, U1532258; CAS under Contracts Nos. KJCX2-YW-N29, KJCX2-YW-N45, QYZDJ-SSW-SLH003; 100 Talents Program of CAS; National 1000 Talents Program of China; 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; Joint Large-Scale Scientific Facility Funds of the NSFC and CAS; 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 Resarch 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; WCU Program of National Research Foundation of Korea under Contract No. R32-2008-000-10155-0. This paper is also supported by Beijing municipal government under Contract Nos. KM201610017009, 2015000020124G064.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] H. Y. Cheng, Charmed baryons circa 2015, Front. Phys. 10 (6) (2015) 101406, https://link.springer.com/article/10.1007/s 11467-015-0483-z ; C. D. L u ¨ ¨ u \ddot{\rm u} , W. Wang and F. S. Yu, Test flavor SU(3) symmetry in exclusive Λ c subscript Λ 𝑐 \Lambda_{c} decays Phys. Rev. D 93 (2016) 056008, https://doi.org/10.1103/Phys Rev D.93.056008 , ar Xiv:1601.04241; K. K. Sharma and R. C. Verma, SU(3) flavor analysis of two-body weak decays of charmed baryons, Phys. Rev. D 55 (1997) 70 · doi ↗
- 2[2] G. S. Abrams e t a l . 𝑒 𝑡 𝑎 𝑙 et\leavevmode\nobreak\ al. , Mark II Collaboration, Observation of Charmed-Baryon Production in e + e − superscript 𝑒 superscript 𝑒 e^{+}e^{-} Annihilation, Phys. Rev. Lett. 44 (1980) 10, https://doi.org/10.1103/Phys Rev Lett.44.10 . · doi ↗
- 3[3] C. Patrignani e t a l . 𝑒 𝑡 𝑎 𝑙 et\leavevmode\nobreak\ al. , Particle Data Group, Review of Particle Physics, Chin. Phys. C 40 (2016) 100001, http://dx.doi.org/10.1088/1674-1137/40/10/100001 . · doi ↗
- 4[4] Throughout this paper, charged conjugate modes are implied unless explicitly stated otherwise.
- 5[5] M. Ablikim, et al., BESIII Collaboration, Precision measurement of the integrated luminosity of the data taken by BESIII at center-of-mass energies between 3.810 Ge V and 4.600 Ge V, Chin. Phys. C 39 (2015) 093001, http://iopscience.iop.org/1674-1137/39/9/093001 , ar Xiv:1503.03408.
- 6[6] M. Ablikim, et al., BESIII Collaboration, Design and Construction of the BESIII Detector, Nucl. Instrum. Meth. A 614 (2010) 345, http://dx.doi.org/10.1016/j.nima.2009.12.050 , ar Xiv:0911.4960. · doi ↗
- 7[7] J. Adler e t a l . 𝑒 𝑡 𝑎 𝑙 et\leavevmode\nobreak\ al. , Mark III Collaboration, Measurement of the branching fractions for D 0 → π − e + ν e → superscript 𝐷 0 superscript 𝜋 superscript 𝑒 subscript 𝜈 𝑒 D^{0}\rightarrow\pi^{-}e^{+}\nu_{e} and D 0 → K − e + ν e → superscript 𝐷 0 superscript 𝐾 superscript 𝑒 subscript 𝜈 𝑒 D^{0}\rightarrow K^{-}e^{+}\nu_{e} and determination of | V c d / V c s | 2 superscript subscript 𝑉 𝑐 𝑑 subscript 𝑉 𝑐 𝑠 2 |V_{cd}/V_{cs}|^{2} , Phys. · doi ↗
- 8[8] S. Agostinelli, et al., GEANT 4 Collaboration, GEANT 4-A Simulation toolkit, Nucl. Instrum. Meth. A 506 (2003) 250, http://dx.doi.org/10.1016/S 0168-9002(03)01368-8 . · doi ↗
