Test of lepton flavor universality and search for lepton flavor violation in $B \to K \ell\ell$ decays
S. Choudhury, S. Sandilya, K. Trabelsi, A. Giri, H. Aihara, S. Al, Said, D. M. Asner, H. Atmacan, V. Aulchenko, T. Aushev, R. Ayad, V. Babu, S., Bahinipati, P. Behera, C. Bele\~no, K. Belous, J. Bennett, F. Bernlochner, M., Bessner, V. Bhardwaj, T. Bilka, J. Biswal, G. Bonvicini

TL;DR
This paper reports measurements of lepton flavor universality in B decays, finds results consistent with the Standard Model, and sets upper limits on lepton-flavor-violating decays using Belle data.
Contribution
First measurement of $R_K$ in multiple $q^2$ bins with Belle data, testing lepton universality and searching for lepton flavor violation in B decays.
Findings
$R_K$ results consistent with Standard Model predictions.
No significant $CP$-averaged isospin asymmetry observed.
Set upper limits on lepton-flavor-violating decay branching fractions.
Abstract
We present measurements of the branching fractions for the decays and , and their ratio (), using a data sample of 711 that contains events. The data were collected at the resonance with the Belle detector at the KEKB asymmetric-energy collider. The ratio is measured in five bins of dilepton invariant-mass-squared (): , and (, along with the whole region. The value for is . The first and second uncertainties listed are statistical and systematic, respectively. All results for are consistent with Standard Model predictions. We also measure -averaged isospin asymmetries in the…
| mode | ||||||||
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| (\qq) | (%) | (individual) | (combined) | (individual) | (combined) | |||
| (0.1,4.0) | ||||||||
| (4.00,8.12) | ||||||||
| (1.0,6.0) | ||||||||
| (10.2,12.8) | ||||||||
| whole | ||||||||
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| Lepton identification | |||||
| Kaon identification | |||||
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| Track reconstruction | |||||
| Efficiency calculation | |||||
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| PDF shape parameters | |||||
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[24]S. Choudhury,
11institutetext: University of the Basque Country UPV/EHU, 48080 Bilbao, Spain
22institutetext: University of Bonn, 53115 Bonn, Germany
33institutetext: Brookhaven National Laboratory, Upton, New York 11973, USA
44institutetext: Budker Institute of Nuclear Physics SB RAS, Novosibirsk 630090, Russian Federation
55institutetext: Faculty of Mathematics and Physics, Charles University, 121 16 Prague, The Czech Republic
66institutetext: Chonnam National University, Gwangju 61186, South Korea
77institutetext: University of Cincinnati, Cincinnati, OH 45221, USA
88institutetext: Deutsches Elektronen–Synchrotron, 22607 Hamburg, Germany
99institutetext: University of Florida, Gainesville, FL 32611, USA
1010institutetext: Department of Physics, Fu Jen Catholic University, Taipei 24205, Taiwan
1111institutetext: Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) and Institute of Modern Physics, Fudan University, Shanghai 200443, PR China
1212institutetext: II. Physikalisches Institut, Georg-August-Universität Göttingen, 37073 Göttingen, Germany
1313institutetext: SOKENDAI (The Graduate University for Advanced Studies), Hayama 240-0193, Japan
1414institutetext: Gyeongsang National University, Jinju 52828, South Korea
1515institutetext: Department of Physics and Institute of Natural Sciences, Hanyang University, Seoul 04763, South Korea
1616institutetext: University of Hawaii, Honolulu, HI 96822, USA
1717institutetext: High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
1818institutetext: J-PARC Branch, KEK Theory Center, High Energy Accelerator Research Organization (KEK), Tsukuba 305-0801, Japan
1919institutetext: Higher School of Economics (HSE), Moscow 101000, Russian Federation
2020institutetext: Forschungszentrum Jülich, 52425 Jülich, Germany
2121institutetext: IKERBASQUE, Basque Foundation for Science, 48013 Bilbao, Spain
2222institutetext: Indian Institute of Science Education and Research Mohali, SAS Nagar, 140306, India
2323institutetext: Indian Institute of Technology Bhubaneswar, Satya Nagar 751007, India
2424institutetext: Indian Institute of Technology Hyderabad, Telangana 502285, India
2525institutetext: Indian Institute of Technology Madras, Chennai 600036, India
2626institutetext: Indiana University, Bloomington, IN 47408, USA
2727institutetext: Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, PR China
2828institutetext: Institute for High Energy Physics, Protvino 142281, Russian Federation
2929institutetext: Institute of High Energy Physics, Vienna 1050, Austria
3030institutetext: INFN - Sezione di Napoli, 80126 Napoli, Italy
3131institutetext: INFN - Sezione di Torino, 10125 Torino, Italy
3232institutetext: Advanced Science Research Center, Japan Atomic Energy Agency, Naka 319-1195, Japan
3333institutetext: J. Stefan Institute, 1000 Ljubljana, Slovenia
3434institutetext: Institut für Experimentelle Teilchenphysik, Karlsruher Institut für Technologie, 76131 Karlsruhe, Germany
3535institutetext: Kavli Institute for the Physics and Mathematics of the Universe (WPI), University of Tokyo, Kashiwa 277-8583, Japan
3636institutetext: Kennesaw State University, Kennesaw GA 30144, USA
3737institutetext: Department of Physics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
3838institutetext: Korea Institute of Science and Technology Information, Daejeon 34141, South Korea
3939institutetext: Korea University, Seoul 02841, South Korea
4040institutetext: Kyoto Sangyo University, Kyoto 603-8555, Japan
4141institutetext: Kyoto University, Kyoto 606-8502, Japan
4242institutetext: Kyungpook National University, Daegu 41566, South Korea
4343institutetext: Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
4444institutetext: P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow 119991, Russian Federation
4545institutetext: Liaoning Normal University, Dalian 116029, China
4646institutetext: Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
4747institutetext: Ludwig Maximilians University, 80539 Munich, Germany
4848institutetext: Luther College, Decorah, IA 52101, USA
4949institutetext: Malaviya National Institute of Technology Jaipur, Jaipur 302017, India
5050institutetext: University of Maribor, 2000 Maribor, Slovenia
5151institutetext: Max-Planck-Institut für Physik, 80805 München, Germany
5252institutetext: School of Physics, University of Melbourne, Victoria 3010, Australia
5353institutetext: University of Mississippi, University, MS 38677, USA
5454institutetext: University of Miyazaki, Miyazaki 889-2192, Japan
5555institutetext: Moscow Physical Engineering Institute, Moscow 115409, Russian Federation
5656institutetext: Graduate School of Science, Nagoya University, Nagoya 464-8602, Japan
5757institutetext: Kobayashi-Maskawa Institute, Nagoya University, Nagoya 464-8602, Japan
5858institutetext: Università di Napoli Federico II, 80126 Napoli, Italy
5959institutetext: Nara Women’s University, Nara 630-8506, Japan
6060institutetext: National Central University, Chung-li 32054, Taiwan
6161institutetext: National United University, Miao Li 36003, Taiwan
6262institutetext: Department of Physics, National Taiwan University, Taipei 10617, Taiwan
6363institutetext: H. Niewodniczanski Institute of Nuclear Physics, Krakow 31-342, Poland
6464institutetext: Nippon Dental University, Niigata 951-8580, Japan
6565institutetext: Niigata University, Niigata 950-2181, Japan
6666institutetext: University of Nova Gorica, 5000 Nova Gorica, Slovenia
6767institutetext: Novosibirsk State University, Novosibirsk 630090, Russian Federation
6868institutetext: Osaka City University, Osaka 558-8585, Japan
6969institutetext: Osaka University, Osaka 565-0871, Japan
7070institutetext: Pacific Northwest National Laboratory, Richland, WA 99352, USA
7171institutetext: Panjab University, Chandigarh 160014, India
7272institutetext: Peking University, Beijing 100871, PR China
7373institutetext: University of Pittsburgh, Pittsburgh, PA 15260, USA
7474institutetext: Punjab Agricultural University, Ludhiana 141004, India
7575institutetext: Research Center for Nuclear Physics, Osaka University, Osaka 567-0047, Japan
7676institutetext: Meson Science Laboratory, Cluster for Pioneering Research, RIKEN, Saitama 351-0198, Japan
7777institutetext: Theoretical Research Division, Nishina Center, RIKEN, Saitama 351-0198, Japan
7878institutetext: Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei 230026, PR China
7979institutetext: Seoul National University, Seoul 08826, South Korea
8080institutetext: Showa Pharmaceutical University, Tokyo 194-8543, Japan
8181institutetext: Soochow University, Suzhou 215006, China
8282institutetext: Soongsil University, Seoul 06978, South Korea
8383institutetext: Sungkyunkwan University, Suwon 16419, South Korea
8484institutetext: School of Physics, University of Sydney, New South Wales 2006, Australia
8585institutetext: Department of Physics, Faculty of Science, University of Tabuk, Tabuk 71451, Saudi Arabia
8686institutetext: Tata Institute of Fundamental Research, Mumbai 400005, India
8787institutetext: Department of Physics, Technische Universität München, 85748 Garching, Germany
8888institutetext: School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
8989institutetext: Toho University, Funabashi 274-8510, Japan
9090institutetext: Department of Physics, Tohoku University, Sendai 980-8578, Japan
9191institutetext: Earthquake Research Institute, University of Tokyo, Tokyo 113-0032, Japan
9292institutetext: Department of Physics, University of Tokyo, Tokyo 113-0033, Japan
9393institutetext: Tokyo Institute of Technology, Tokyo 152-8550, Japan
9494institutetext: Tokyo Metropolitan University, Tokyo 192-0397, Japan
9595institutetext: Utkal University, Bhubaneswar 751004, India
9696institutetext: Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
9797institutetext: Wayne State University, Detroit, MI 48202, USA
9898institutetext: Yamagata University, Yamagata 990-8560, Japan
9999institutetext: Yonsei University, Seoul 03722, South Korea
Test of lepton flavor universality and search for lepton flavor violation in decays
7,24
S. Sandilya 43
K. Trabelsi 24
A. Giri 92
H. Aihara, 85,37
S. Al Said 3
D. M. Asner, 7
H. Atmacan 4,67
V. Aulchenko 19
T. Aushev 85
R. Ayad 8
V. Babu, 23
S. Bahinipati 25
P. Behera, 12
C. Beleño 28
K. Belous 53
J. Bennett 2
F. Bernlochner, 16
M. Bessner 22
V. Bhardwaj, 5
T. Bilka, 33
J. Biswal 97
G. Bonvicini, 63
A. Bozek 50,33
M. Bračko 16
T. E. Browder, 30,58
M. Campajola 5
D. Červenkov, 10
M.-C. Chang 62
P. Chang 51
V. Chekelian, 60
A. Chen 15
B. G. Cheon, 44
K. Chilikin 38
K. Cho, 14
S.-K. Choi, 83
Y. Choi 97
D. Cinabro 8
S. Cunliffe, 25
N. Dash, 30,58
G. De Nardo 24
R. Dhamija 30,58
F. Di Capua 2
J. Dingfelder 5
Z. Doležal 11
T. V. Dong 52
D. Dossett 16
S. Dubey, 4,67,44
S. Eidelman 4,67
D. Epifanov 8
T. Ferber, 52
D. Ferlewicz 70
B. G. Fulsom, 71
R. Garg 96
V. Gaur 4,67
N. Gabyshev 4,67
A. Garmash 34
P. Goldenzweig, 46,33
B. Golob 87
D. Greenwald 70
C. Hadjivasiliou, 16
O. Hartbrich, 59
H. Hayashii, 16
M. T. Hedges, 53
M. Hernandez Villanueva, 35
T. Higuchi 62
W.-S. Hou, 84
C.-L. Hsu, 57,56
T. Iijima, 56
K. Inami, 17,13
A. Ishikawa, 17,13
R. Itoh, 68
M. Iwasaki 17
Y. Iwasaki 26
W. W. Jacobs, 14
E.-J. Jang, 42
H. B. Jeon 11
S. Jia 92
Y. Jin 35
C. W. Joo, 6
K. K. Joo 34
J. Kahn, 86
A. B. Kaliyar, 42
K. H. Kang, 8
G. Karyan, 17
H. Kichimi, 51
C. Kiesling 79
B. H. Kim 82
D. Y. Kim, 99
K.-H. Kim, 39
K. T. Kim 79
S. H. Kim 99
Y.-K. Kim, 7
K. Kinoshita, 5
P. Kodyš, 50,33
S. Korpar, 16
D. Kotchetkov 46,33
P. Križan, 53
R. Kroeger 4,67
P. Krokovny, 47
T. Kuhr, 36
R. Kulasiri 74
R. Kumar 97
K. Kumara 4,67
A. Kuzmin, 99
Y.-J. Kwon, 49
K. Lalwani, 42
S. C. Lee, 2
P. Lewis, 45
C. H. Li 7
L. K. Li, 72
Y. B. Li, 51
L. Li Gioi 25
J. Libby 47
K. Lieret 16
Z. Liptak , † ††\dagger††\daggernow at Hiroshima University. 97,17
D. Liventsev, 11
T. Luo, 91,75
M. Masuda, 54
T. Matsuda 4,67,44
D. Matvienko 30,58
M. Merola, 59
K. Miyabayashi, 44,19
R. Mizuk, 86
G. B. Mohanty 86,95
S. Mohanty 79
T. J. Moon, 56
T. Mori 17,13
I. Nakamura, 17
K. R. Nakamura 17,13
M. Nakao, 63
Z. Natkaniec, 16
A. Natochii 24
L. Nayak 88
M. Nayak 40
M. Niiyama, 3
N. K. Nisar 17,13
S. Nishida 65
K. Ogawa, 64,65
H. Ono, 92
Y. Onuki 44
P. Oskin 44,55
P. Pakhlov, 19,44
G. Pakhlova 30
S. Pardi, 42
H. Park, 99
S.-H. Park, 22
S. Patra 87,51
S. Paul 48
T. K. Pedlar 33
R. Pestotnik, 96
L. E. Piilonen, 46,33
T. Podobnik 19
V. Popov 20
E. Prencipe, 34
M. T. Prim 87
A. Rabusov, 8
A. Rostomyan, 25
N. Rout 63
M. Rozanska 58
G. Russo 86
D. Sahoo 17,13
Y. Sakai 46,33
L. Santelj, 90
T. Sanuki 73
V. Savinov, 1,21
G. Schnell, 16
J. Schueler, 29
C. Schwanda 7
A. J. Schwartz 65
Y. Seino, 98
K. Senyo, 52
M. E. Sevior, 28
M. Shapkin, 16
V. Shebalin 62
J.-G. Shiu, 4,67
B. Shwartz 51
F. Simon, 28
A. Sokolov, 44
E. Solovieva, 66
S. Stanič 33
M. Starič 96
Z. S. Stottler, 94
T. Sumiyoshi, 2
W. Sutcliffe 80,18,76
M. Takizawa, 31
U. Tamponi 32
K. Tanida, 8
F. Tenchini, 93
M. Uchida, 17,13
S. Uehara, 44,19
T. Uglov 15
Y. Unno 17,13
S. Uno 52
P. Urquijo 17,13
Y. Ushiroda 2
R. Van Tonder, 16
G. Varner, 84
K. E. Varvell 4,67
A. Vinokurova, 4,67,44
V. Vorobyev 17
E. Waheed, 61
C. H. Wang, 73
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M.-Z. Wang 27
P. Wang 65
M. Watanabe, 43
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V. Zhukova
Abstract
We present measurements of the branching fractions for the decays and , and their ratio (), using a data sample of 711 \invfb that contains events. The data were collected at the \Y4S resonance with the Belle detector at the KEKB asymmetric-energy collider. The ratio is measured in five bins of dilepton invariant-mass-squared (): , and (, along with the whole region. The value for is . The first and second uncertainties listed are statistical and systematic, respectively. All results for are consistent with Standard Model predictions. We also measure -averaged isospin asymmetries in the same bins. The results are consistent with a null asymmetry, with the largest difference of 2.6 standard deviations occurring for the bin in the mode with muon final states. The measured differential branching fractions, , are consistent with theoretical predictions for charged decays, while the corresponding values are below the expectations for neutral decays. We have also searched for lepton-flavor-violating decays and set confidence-level upper limits on the branching fraction in the range of for , and modes.
††preprint:
Belle Preprint 2020-11
KEK Preprint 2020-12
1 Introduction
The decays (), mediated by the quark-level transition, constitute a flavor-changing neutral current process. Such processes are forbidden at tree level in the Standard Model (SM) but can proceed via suppressed loop-level diagrams, and they are therefore sensitive to particles predicted in a number of new physics models th:bsm:1 ; th:bsm:2 . A robust observable clean_obs to test the SM prediction is the lepton-flavor-universality (LFU) ratio,
[TABLE]
where is a or meson and the decay rate is integrated over a range of the dilepton invariant mass squared, . For , recently LHCb ex:lhcb:rkst reported hints of deviations from SM expectations, while Belle ex:belle:rkst results are consistent with the SM with relatively larger uncertainties. LHCb also measured ex:lhcb:rk , reporting a difference of about 2.5 standard deviations () from the SM prediction in the bin. A previous measurement of the same quantity was performed by Belle ex:belle:rk in the whole range with a data sample of events. The result presented here is obtained from a multidimensional fit performed on the full Belle data sample of events, and supersedes our previous result ex:belle:rk .
Another theoretically robust observable ai_theory , where the dominant form-factor-related uncertainties also cancel, is the -averaged isospin asymmetry, representing the difference in partial widths:
[TABLE]
where is the lifetime ratio of to pdg . The ff_value is the relative production fraction of charged () and neutral mesons () at factories. The value is expected to be close to zero in the SM th:ai . Earlier, BaBar ex:babar:ai and Belle ex:belle:rk reported to be significantly below zero, especially in the region below the resonance, while LHCb ex:lhcb:ai reported results consistent with SM predictions.
In many theoretical models, lepton flavor violation (LFV) accompanies LFU violation lfv_lfuv . With neutrino mixing, LFV is only possible at rates far below the current experimental sensitivity. In case of signal, this will signify physics beyond SM neutrino_lfv . The LFV in decays can be studied via . The most stringent upper limits on and set by LHCb LHCb_lfv are and at confidence level (CL). Prior to that, decays were searched for by BaBar BaBar_lfv , which set a 90% CL upper limit on the branching fraction of .
In this paper, we report a measurement of the decay branching fractions of , and in the whole range as well as in five bins [(0.1, 4.0), (4.00, 8.12), (1.0, 6.0), (10.2, 12.8) and ()] \qq. We also search for decays using the full Belle data sample.
2 Data samples and Belle detector
This analysis uses a 711 data sample containing events, collected at the resonance by the Belle experiment at the KEKB collider KEKB . An 89 data sample recorded 60 below the peak (off-resonance) is used to estimate the background contribution from () continuum events.
The Belle detector belle:detector is a large-solid-angle magnetic spectrometer composed of a silicon vertex detector (SVD), a 50-layer central drift chamber (CDC), an array of aerogel threshold Cherenkov counters (ACC), a barrel-like arrangement of time-of-flight scintillation counters (TOF), and an electromagnetic calorimeter (ECL) comprising CsI(Tl) crystals. All these subdetectors are located inside a superconducting solenoid coil that provides a 1.5 T magnetic field. An iron flux-return yoke placed outside the coil is instrumented with resistive plate chambers (KLM) to detect mesons and muons. Two inner detector configurations were used: a 2.0 cm radius beam pipe and a three-layer SVD for the first sample of 140; and a 1.5 cm radius beam pipe, a four-layer SVD, and a small-cell inner CDC for the remaining 571 nbb .
To study properties of signal events and optimize selection criteria, we use samples of Monte Carlo (MC) simulated events. The modes are generated with the EvtGen package evtgen based on a model described in Ref. btosllball , while LFV modes are generated with a phase-space model. The PHOTOS photos package is used to incorporate final-state radiation. The detector response is simulated with GEANT3 geant3 .
3 Analysis Overview
We reconstruct () cc decays by selecting charged particles that originate from the vicinity of the interaction point (IP), except for those originating from decays. We require impact parameters less than cm in the transverse plane and less than cm along the axis (parallel to the beam). To reduce backgrounds from low-momentum particles, we require that tracks have a minimum transverse momentum of 100 .
From the list of selected tracks, we identify candidates using a likelihood ratio , where and are the likelihoods for charged kaons and pions, respectively, calculated based on the number of photoelectrons in the ACC, the specific ionization in the CDC, and the time of flight as determined from the TOF. We select kaons by requiring , which has a kaon identification efficiency of 92% and a pion misidentification rate of 7%. For the neutral decay, candidate mesons are reconstructed by combining two oppositely charged tracks (assumed to be pions) with an invariant mass between and ; this corresponds to a window around the nominal mass pdg . Such candidates are further identified with a neural network (NN). The variables used for this NN are: the momentum; the distance along the axis between the two track helices at their closest approach; the flight length in the transverse plane; the angle between the momentum and the vector joining the IP with the decay vertex; the angle between the pion momentum and the laboratory-frame direction in the rest frame; the distances-of-closest-approach in the transverse plane between the IP and the two pion helices; and the number of hits in the CDC; and the presence or absence of hits in the SVD for each pion track.
Muon candidates are identified based on information from the KLM. We require that candidates have a momentum greater than 0.8 (enabling them to reach the KLM subdetector), and a penetration depth and degree of transverse scattering consistent with those of a muon muid . The latter information is used to calculate a normalized muon likelihood , and we require . For this requirement, the average muon detection efficiency is 89%, with a pion misidentification rate of 1.5% pid .
Electron candidates are required to have a momentum greater than 0.5 and are identified using the ratio of calorimetric cluster energy to the CDC track momentum; the shower shape in the ECL; the matching of the track with the ECL cluster; the specific ionization in the CDC; and the number of photoelectrons in the ACC. This information is used to calculate a normalized electron likelihood , and we require . This requirement has an efficiency of 92% and a pion misidentification rate below 1% eid . To recover energy loss due to possible bremsstrahlung, we search for photons inside a cone of radius centered around the electron direction. For each photon found within the cone, its four-momentum is added to that of the initial electron.
Charged (neutral) candidates are reconstructed by combining () with suitable or candidates. To distinguish signal from background events, two kinematic variables are used: the beam-energy-constrained mass , and the energy difference , where is the beam energy, and and are the energy and momentum, respectively, of the candidate. All these quantities are calculated in the center-of-mass (CM) frame. For signal events, the distribution peaks at zero, and the distribution peaks near the mass. We retain candidates satisfying the requirements and .
With the above selection criteria applied, about 2% of signal MC events are found to have more than one candidate. For these events, we retain the candidate with smallest value resulting from a vertex fit of the daughter particles. From MC simulation, this criterion is found to select the correct signal candidate 78-85% of the time, depending on the decay mode. The decays and , used later as control samples, are suppressed in the signal selection via a set of vetoes and with the dimuon; and with the dielectron final states for and , respectively. An additional veto of the low region (\qq) is applied in the case of to suppress possible contaminations from and .
At this stage of the analysis, there is significant background from continuum processes and other decays. As lighter quarks are produced with large kinetic energy, the former events tend to consist of two back-to-back jets of pions and kaons. In contrast, events are produced almost at rest in the CM frame, resulting in more spherically distributed daughter particles. We thus distinguish events from background based on event topology.
Background arising from decays has typically two uncorrelated leptons in the final state. Such background falls into three categories: (a) both and decay semileptonically; (b) a decay is followed by ; and (c) hadronic decays where one or more daughter particles are misidentified as leptons. To suppress continuum as well as background, we use an NN trained with the following input variables:
A likelihood ratio constructed from a set of modified Fox-Wolfram moments KSFW ; FW . 2. 2.
The angle between the flight direction and the axis in the CM frame (for events, , whereas for continuum events, , where is the number of events). 3. 3.
The angle between the thrust axes calculated from final-state particles for the candidate and for the rest of the event in the CM frame. (The thrust axis is the direction that maximizes the sum of the longitudinal momenta of the considered particles). For signal events, the distribution is flat, whereas for continuum events it peaks near . 4. 4.
Flavor-tagging information from the tag-side (recoiling) decay. The flavor-tagging algorithm belle:qr outputs two variables: the flavor of the tag-side , and the tag quality . The latter ranges from zero for no flavor information to one for an unambiguous flavor assignment. 5. 5.
The confidence level of the vertex fitted from all daughter particles. 6. 6.
The separation in between the signal decay vertex and that of the other in the event. 7. 7.
The separation between the two leptons along the -axis divided by the quadratic sum of uncertainties in the -intercepts of the tracks. 8. 8.
The sum of the ECL energy of tracks and clusters not associated with the signal decay. 9. 9.
A set of variables developed by CLEO cleocones that characterize the momentum flow into concentric areas around the thrust axis of a reconstructed candidate.
The NN outputs a single variable , for which larger values correspond to more signal-like events. To facilitate modeling of the distribution of with an analytic function, we require and transform to a new variable:
[TABLE]
where is the upper boundary of . The criterion on reduces the background events by more than 75%, with a signal loss of only 4-5%.
We study the remaining background events using MC simulation for individual modes, with special attention paid to those that can mimic signal decays. Candidates arising from populate towards the negative side in and are suppressed with the requirement . The decay mimics when both pions are mis-identified as muons; to suppress this background, we apply a veto on the invariant mass of the and candidates: . The contribution from other charm decays is negligible. Events originating from the decays , in which one of the muons is misidentified as a kaon and vice versa, contribute as a peaking background to . Such events are suppressed by applying a veto on the invariant mass .
For the LFV modes, the background coming from because of misidentification and swapping between particles is removed by invariant mass vetoes. For the mode, two vetoes are applied: (a) the electron is misidentified as kaon and kaon as muon, and thus the veto on the kaon-electron invariant mass is ; and (b) the electron is misidentified as a muon, and thus the muon-electron mass veto is . For the channel, only the latter background is found and removed using . A small contribution from for these LFV modes, due to misidentification of pions as leptons, is removed by requiring . For the mode, a background contribution from , where an electron is misrecontructed as a muon, is suppressed by requiring . When calculating invariant masses for these vetoes, the mass hypothesis for the misidentified particle is used. There is a small background from decays in the ( events), ( events), ( events), ( events), and ( events) samples. This background is negligible in the and samples. The mentioned yields of peaking charmless backgrounds are estimated by considering all known intermediate resonances. To avoid biasing our results, all selection criteria are determined in a “blind” manner, i.e., they are finalized before looking at data events in the signal region.
We determine the signal yields by performing a three-dimensional unbinned extended maximum-likelihood fit to the , , and distributions in different bins. The fits are performed for each mode separately. The probability density functions (PDFs) used to model signal decays are as follows: for we use a Gaussian, for the sum of a Gaussian and a Crystal Ball function crystalball , and for the sum of a Gaussian and an asymmetric Gaussian with a common mean. All signal shape parameters are obtained from MC simulation. To account for small differences observed between data and MC simulations, we introduce an offset in the mean positions and scaling factors for the widths. The values of these parameters are obtained from fitting the control sample decays and kept fixed. The PDFs used for charmless peaking background is the same as that of the signal PDFs, with the fixed number of peaking events. The shapes of the , , and distributions for background arising from decays are parameterized with an ARGUS function argus , an exponential, and a Gaussian function, respectively. Similarly, the continuum background is modeled using an ARGUS, a first-order polynomial, and a Gaussian function. The shapes of and continuum backgrounds are very similar in two of the fit variables, making it difficult to simultaneously float the yields of both backgrounds. Hence, the continuum yields are obtained for each mode from the off-resonance data sample and fixed in the fit. These yields are consistent with those of the high-statistics off-resonance MC sample. The yields are floated in the fit.
4 Results
The results of the fit projected into a signal-enhanced region for [ and ], and and and ] distributions in the data sample are shown in Figs. 1 and 2 for and , respectively. These distributions correspond to the whole ; ] \qq with muon and ] \qq with electron, in the final states.
There are and signal events for the decays and , respectively, whereas the yields for the decays and are and events, respectively. The fit is also performed in the aforementioned five bins [(0.1, 4.0), (4.00, 8.12), (1.0, 6.0), (10.2, 12.8), and ()]\qq including the \qq bin, where LHCb reports a possible deviation in , and and values are calculated from Eqs. (1) and (2), respectively. The results are listed in Table 1 and and are also shown in Figs. 3 and 4, respectively. The differential branching fraction () results are shown in Fig. 5. The branching fractions for the , and modes are , and , respectively for the whole range. The measurement is done for , but the branching fraction is quoted for , considering a factor of 2. Figure 6 illustrates the fit for modes and the corresponding branching fractions obtained are listed in Table 2. These samples serve as calibration modes for the PDF shapes used as well as to calibrate the efficiency of requirement for possible difference between data and simulation. These are also used to verify that there is no bias for some of the key observables. For example, we obtain and for and , respectively. Similarly, is .
The signal yields for LFV decays are obtained by performing unbinned extended maximum-likelihood fits, similar to those for the modes. The signal-enhanced projection plots with fit results for LFV decays are shown in Fig.7.
The fitted yields are , , and for , , and , respectively. For the modes, we consider and together, as we do not distinguish between and . The total branching fraction corresponds, via isospin invariance, to . The significance of the signal yield for channel is . To estimate the signal significance for this mode, we have generated a large sample of pseudoexperiments with and estimated the number of cases which have . The confidence level obtained is then translated to significance. We calculate the upper limit for these modes at CL using a frequentist method. In this method, for different numbers of signal events , we generate 1000 Monte Carlo experiments with signal and background PDFs, with each set of events being statistically equivalent to our data sample of . We fit all these simulated data sets, and, for each value of , we calculate the fraction of MC experiments that have . The CL upper limit is taken to be the value of (called here ) for which of the experiments have . The upper limit on the branching fraction is then derived using the formula:
,
where is the number of pairs = , is the branching fraction for charged (neutral) decays, and is the signal reconstruction efficiency calculated from signal MC samples. The systematic uncertainty in is included by smearing the obtained from the MC fits with the fractional systematic uncertainty (discussed in Section 5). The results are listed in Table 3.
5 Systematic uncertainties
Systematic uncertainties arising due to lepton identification is 0.3% (0.4%) for each muon (electron) selection. This uncertainty is calculated using an inclusive , or sample. Uncertainty due to hadron identification is 0.8% for using sample and 1.6% for ks_syst . The systematic uncertainty due to charged track reconstruction is per track estimated by using the partially reconstructed , , and events. The uncertainty in efficiency due to limited MC statistics is about , and the uncertainty in the number of events is . The systematic uncertainty in the branching fraction is 1.2% pdg . We compare the efficiency of the criterion between data and MC samples with the control channel , ; the differences between data and MC simulation (-%) are corrected and the corresponding uncertainty (-%) is assigned as a systematic uncertainty. The uncertainty due to PDF shapes is evaluated by varying the fixed shape parameters by and repeating the fit; the change in the central value of is taken as the systematic uncertainty, which ranges from 0.1 to 0.6%. The uncertainty due to the fixed yield of continuum events is estimated by varying the yield by in the fit; the resulting variation in is less than 1%. The charmless background fixed in the fit for the modes with muon final states is varied within in the fit, and the change in is assigned as systematic, which is -. The decay model systematic for modes is evaluated by comparing reconstruction efficiencies calculated from MC samples generated with different models mc_decay_model ; mc_decay_model2 and is to depending on the bin. For the branching fraction, we have considered all the sources except for the contribution due to fixed continuum or charmless events and the decay model. The systematic uncertainties such as hadron identification, track reconstruction, number of events, and the ratio cancel out in the double ratio of , while for the sources that divide out are lepton identification and number of events as listed in Table 4. In the case of , systematic uncertainties due to hadron identification, charged track reconstruction, number of events, and the cancel, while for the measurement lepton identification and the number of events cancel.
6 Summary
In summary, we have measured the differential branching fractions, their ratios (), and the -averaged isospin asymmetry () for the decays as a function of . The branching fractions for modes are
,
.
The branching fractions for , and are , and , respectively. These are the single most precise measurements to date. The values for different bins are consistent with the SM predictions, and the value for the whole range is . The results for five bins are
[TABLE]
Our result of for the bin of interest, , is higher than the LHCb result ex:lhcb:rk ; lhcb_rk by 1.6. The values for almost all the bins for different channels show a negative asymmetry. For the bin , the obtained value deviates from zero by 2.6 for the mode with muon final states. The value for the whole range is . We see no deviation in differential branching fractions for the mode , where LHCb lhcb_dBR observes lower values than the standard model predictions, though not inconsistent with our result. The values for this observable are lower than the theoretical prediction for neutral decays, reflecting . We have also searched for the lepton-flavor-violating decays and set upper limits on their branching fractions at 90% CL:
,
,
.
We improve the existing limit on the neutral decay mode by an order of magnitude. More precisely, the limit of BaBar BaBar_lfv is , the improvement is by a factor of .
7 Acknowledgments
KT wishes to thank S. Descotes-Genon for useful discussions. We thank the KEKB group for the excellent operation of the accelerator; the KEK cryogenics group for the efficient operation of the solenoid; and the KEK computer group, and the Pacific Northwest National Laboratory (PNNL) Environmental Molecular Sciences Laboratory (EMSL) computing group for strong computing support; and the National Institute of Informatics, and Science Information NETwork 5 (SINET5) for valuable network support. We acknowledge support from the Ministry of Education, Culture, Sports, Science, and Technology (MEXT) of Japan, the Japan Society for the Promotion of Science (JSPS), and the Tau-Lepton Physics Research Center of Nagoya University; the Australian Research Council including grants DP180102629, DP170102389, DP170102204, DP150103061, FT130100303; Austrian Science Fund (FWF); the National Natural Science Foundation of China under Contracts No. 11435013, No. 11475187, No. 11521505, No. 11575017, No. 11675166, No. 11705209; Key Research Program of Frontier Sciences, Chinese Academy of Sciences (CAS), Grant No. QYZDJ-SSW-SLH011; the CAS Center for Excellence in Particle Physics (CCEPP); the Shanghai Pujiang Program under Grant No. 18PJ1401000; the Ministry of Education, Youth and Sports of the Czech Republic under Contract No. LTT17020; the Carl Zeiss Foundation, the Deutsche Forschungsgemeinschaft, the Excellence Cluster Universe, and the VolkswagenStiftung; the Department of Science and Technology of India; the Istituto Nazionale di Fisica Nucleare of Italy; National Research Foundation (NRF) of Korea Grants No. 2016R1D1A1B01010135, No. 2016R1D1A1B02012900, No. 2018R1A2B3003643, No. 2018R1A6A1A06024970, No. 2018R1D1A1B07047294, No. 2019K1A3A7A09033840; Radiation Science Research Institute, Foreign Large-size Research Facility Application Supporting project, the Global Science Experimental Data Hub Center of the Korea Institute of Science and Technology Information and KREONET/GLORIAD; the Polish Ministry of Science and Higher Education and the National Science Center; the Grant of the Russian Federation Government, Agreement No. 14.W03.31.0026; the Slovenian Research Agency; Ikerbasque, Basque Foundation for Science, Spain; the Swiss National Science Foundation; the Ministry of Education and the Ministry of Science and Technology of Taiwan; and the United States Department of Energy and the National Science Foundation.
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