Study of and search for
Abstract
Using data samples collected with the BESIII detector operating at the BEPCII storage ring at center-of-mass energies from 4.178 to 4.600 GeV, we study the process and search for . We find no significant signal and set upper limits on and for each energy point at 90% confidence level, which is of the order of several tenths pb.
I I. INTRODUCTION
The recent discovery of several charmonium-like states has attracted great experimental and theoretical interests pdg . The charmonium-like states are also called states where is the isospin-singlet state with , is the isospin-singlet state with , and is the isospin-triplet state xyzstates . The masses of these states are above the open-charm thresholds, and due to the unexpected resonance parameters and decay channels, these states can not be described by conventional quark models. Therefore, they are good candidates for exotic states, such as hybrids, tetraquarks, molecules, etc. theory1 ; theory2 ; theory3 .
The first charmonium-like state , which has been recently renamed as by the Particle Data Group (PDG pdg ), was observed by the Belle experiment in the process x38721 . The is a rather narrow state with a mass that is consistent with threshold. It decays through open-charm, radiative and isospin-violating pion emission decays, and is found to be an isospin singlet with pdg . Among these features, the extremely small mass difference between the and threshold which we will denote as , is of particular interest. Taking the values for the , and masses from the PDG pdg , is calculated to be keV/. Very recently, the LHCb reported a new measurement yielding keV/ lhcb1 ; lhcb2 . However the improved precision is still insufficient to tell whether the mass is above or below the threshold. Better knowledge of will be an important step towards a deeper understanding of the nature of the x3872-a ; x3872-b , and eventually of other related states. A completely new method to measure the value by measuring the line shape, which is sensitive to the value due to a triangle singularity, is proposed by Ref. guo ; ortega ; guob . Here, the needs to be produced associated with another positive -parity neutral meson, e.g. . In principle, this method could be applied at the BESIII experiment, based on the sizable data samples taken for studies. According to the theoretical prediction in Ref. guob , the cross section of the process is expected to be small. However, there could be other scenarios where the expected cross section is large.
Recently, the BESIII Collaboration reported an enhancement around 4.2 GeV for the production cross sections x3872-c , which suggests a connection between and states. BESIII also reported another connection, now between and states, with the observation of a resonance in the process x3872-d . Those observations may indicate some common nature among the states. Therefore, it is important to search for possible connections between and states. Establishing connections among states may be a clue that can facilitate a better theoretical interpretation of these. One such connection voloshin could be a transition in the scenario where the is dominantly an -wave molecule and the is an isotopic triplet of near-threshold -wave resonances. Therefore, the search for the transition will help to quantitatively study the molecular picture of the . The is observed in the process, so the study of allows one to search for the transition .
In this paper, we report the search for the reaction and based on the data of twenty-three energy points recorded with the BESIII detector in the range of . The state is reconstructed via , ( or ).
II II. BESIII DETECTOR AND MONTE CARLO SIMULATION
The BESIII detector is a magnetic spectrometer besiii located at the Beijing Electron Positron Collider (BEPCII) bepcii . The cylindrical core of the BESIII detector consists of a helium-based multilayer drift chamber (MDC), a plastic scintillator time-of-flight system (TOF), and a CsI(Tl) electromagnetic calorimeter (EMC), which are all enclosed in a superconducting solenoidal magnet, providing a 1.0 T magnetic field. The solenoid is supported by an octagonal flux-return yoke with resistive plate chamber muon identifier modules interleaved with steel. The acceptance of charged particles and photons is 93% over the solid angle. The charged-particle momentum resolution at is , and the resolution is for the electrons from Bhabha scattering. The EMC measures photon energies with a resolution of () at GeV in the barrel (end cap) region. The time resolution of the TOF barrel section is 68 ps, while that of the end cap section is 110 ps. The end cap TOF system was upgraded in 2015 with multi-gap resistive plate chamber technology, providing a time resolution of 60 ps etof . About 70% of the data sample used here was taken after this upgrade.
Simulated data samples produced with the geant4-based geant4 Monte Carlo (MC) package, which includes the geometric description of the BESIII detector and the detector response, are used to determine the detection efficiency and to estimate the background contributions. The simulation includes the beam energy spread and initial-state radiation (ISR) in the annihilations modeled with the generator kkmc KKMC . The ISR production of vector charmonium(-like) states and the continuum processes are incorporated also in kkmc KKMC . The known decay modes are modeled with evtgen ref:evtgen , using branching fractions summarized and averaged by the PDG pdg , and the remaining unknown decays from the charmonium states are generated with lundcharm ref:lundcharm . Final state radiation from charged final state particles is incorporated with the photos package photos .
Signal MC samples for and are generated according to phase space at each center-of-mass energy point, assuming that the cross section follows the function fit for the line shape in Ref. twobw . The event selection criteria and the detection efficiencies are determined and studied based on signal MC samples of signal events generated for each value of . Detection efficiencies are determined by the ratio of the reconstructed event yields (after the selection criteria) and the number of generated events. Inclusive MC samples consisting of open charm production processes are employed to investigate potential backgrounds.
III III. EVENT SELECTION
For each charged track, the distance of closest approach to the interaction point (IP) is required to be within cm in the beam direction and within 1 cm in the plane perpendicular to the beam direction. The polar angles () of the tracks with respect to the beam axis (ignoring the small crossing angle), must be within the fiducial volume of the MDC . Photons are reconstructed from isolated showers in the EMC, which are at least away from the nearest charged track. The photon energy is required to be at least 25 MeV in the barrel region or 50 MeV in the end cap region . To suppress electronic noise and energy depositions unrelated to the event, the EMC cluster timing from the reconstructed event start time is further required to satisfy ns.
Since the reaction results in the final states , candidate events are required to have four tracks with zero net charge and at least three photons. Tracks with momenta larger than 1.0 GeV/ are assigned as leptons from the decay; otherwise, they are regarded as pions. Leptons from the decay with energy deposited in the EMC larger than 1.0 GeV are identified as electrons, while those with less than 0.4 GeV as muons. The candidates are reconstructed from photon pairs with invariant mass in the range .
To reduce the background contributions and to improve the mass resolution, a five-constraint (5C) kinematic fit is performed. Four constraints come from the total initial four momentum of the colliding beams; the last one is from constraining the invariant mass to the nominal value pdg . If there is more than one combination in an event, the one with the smallest is chosen. Furthermore, the is required to be less than 60. The is reconstructed via decays, and the invariant mass of lepton pairs is required to be in the mass window .
IV IV. BORN CROSS SECTION MEASUREMENT
IV.1 IV.I
After applying the above requirements, the remaining background is mainly coming from , and , events. In order to veto these events, the invariant mass is required to be outside the and mass regions and , respectively. Besides the and backgrounds, the , background is removed by requiring the recoil mass to be outside the mass region of .
Figure 1 shows distributions of the invariant mass for data and the MC samples of . The signal region is taken as [3.860, 3.885] GeV/, while the sideband regions are set to be [3.825, 3.850] GeV/ and [3.895, 3.920] GeV/. No significant signals are seen at any energies. The signal yield is determined from the event yields in the signal and sideband regions. The sideband yields are scaled by the ratio of the relevant mass-window widths in order to predict the background expected in the signal region. Upper limits on the number of signal events at the 90% C.L. are calculated by using a frequentist method trolke1 with unbounded profile likelihood treatment of systematic uncertainties, which is implemented by the package trolke trolke2 in the root framework root , where the signal and background obey Poisson statistics, and the efficiencies are Gaussian-distributed. The numerical results are summarized in Table 1.
(GeV) | (pb-1) | 1+(s) | (pb) | |||||
---|---|---|---|---|---|---|---|---|
4.178 | 3195 | (1, 0) | (1, 1) | () | (0.70, 0.69) | 1.055 | (14.02, 13.97) | () |
4.189 | 527 | (0, 0) | (0, 2) | () | (0.70, 0.70) | 1.056 | (14.12, 14.02) | () |
4.199 | 526 | (0, 0) | (0, 0) | () | (0.70, 0.70) | 1.057 | (14.13, 14.24) | () |
4.209 | 517 | (0, 0) | (0, 0) | () | (0.71, 0.71) | 1.057 | (14.29, 13.75) | () |
4.219 | 515 | (0, 0) | (0, 0) | () | (0.72, 0.72) | 1.057 | (14.07, 13.74) | () |
4.226 | 1056 | (0, 0) | (0, 0) | () | (0.74, 0.74) | 1.057 | (14.51, 14.11) | () |
4.236 | 530 | (0, 0) | (0, 0) | () | (0.76, 0.76) | 1.056 | (14.50, 13.43) | () |
4.244 | 538 | (0, 0) | (0, 0) | () | (0.78, 0.78) | 1.056 | (14.03, 13.20) | () |
4.258 | 828 | (1, 0) | (0, 0) | () | (0.81, 0.81) | 1.054 | (14.00, 12.99) | () |
4.267 | 531 | (0, 0) | (0, 0) | () | (0.83, 0.83) | 1.053 | (13.78, 12.23) | () |
4.278 | 176 | (0, 0) | (0, 0) | () | (0.84, 0.84) | 1.053 | (13.44, 11.89) | () |
4.288 | 502 | (0, 0) | (0, 0) | () | (0.84, 0.84) | 1.053 | (13.29, 11.74) | () |
4.312 | 501 | (0, 0) | (0, 0) | () | (0.84, 0.84) | 1.052 | (13.35, 11.68) | () |
4.338 | 505 | (0, 0) | (0, 0) | () | (0.83, 0.83) | 1.051 | (13.76, 12.03) | () |
4.358 | 544 | (0, 0) | (1, 0) | () | (0.83, 0.83) | 1.051 | (14.11, 12.42) | () |
4.378 | 523 | (0, 0) | (4, 0) | () | (0.84, 0.84) | 1.052 | (14.06, 12.47) | () |
4.397 | 508 | (0, 0) | (0, 0) | () | (0.86, 0.86) | 1.052 | (13.60, 12.34) | () |
4.416 | 1044 | (0, 0) | (0, 0) | () | (0.90, 0.90) | 1.053 | (13.04, 12.10) | () |
4.437 | 570 | (2, 0) | (1, 1) | () | (0.97, 0.97) | 1.054 | (9.94, 11.47) | () |
4.467 | 111 | (0, 0) | (0, 0) | () | (1.09, 1.09) | 1.055 | (5.25, 10.39) | () |
4.527 | 112 | (0, 0) | (0, 0) | () | (1.38, 1.38) | 1.055 | (9.19, 8.56) | () |
4.574 | 49 | (0, 0) | (0, 0) | () | (1.62, 1.62) | 1.055 | (8.11, 7.31) | () |
4.600 | 587 | (0, 0) | (2, 0) | () | (1.76, 1.75) | 1.055 | (7.71, 7.06) | () |
The Born cross section multiplied by the branching fraction is calculated as:
(1) | ||||
where is the number of signal events, is the detection efficiency (excluding intermediate branching fractions), is the integrated luminosity luminosity , 1+ is the ISR correction factor obtained from a quantum electrodynamics calculations QED ; KKMC , is vacuum polarization factor vacuum . The corresponding upper limits for this cross section at the 90% C.L. for each energy point are listed in Table 1 and shown in Fig. 2 (a).
Assuming the Born cross section of is constant at GeV, the average Born cross section multiplied by the branching fraction for data is calculated as:
(2) | ||||
where is the total number of signal events, and denotes each energy point. The corresponding upper limit for the average Born cross section multiplied by the branching fraction is determined to be 21.9 fb at the 90% C.L.
IV.2 IV.II
The possible connection between and charmonium-like states can be studied via the decay . In order to search for the process, the signal region is set to be [3.860, 3.885] GeV/, which is the same as for the study. As we do not observe any signal, there cannot be any being produced in the given channel. Still, we provide corresponding upper limits, since a quantification might well be helpful in the understanding of the involved states. After the requirement of the mass window no significant , and background remain. Figure 3 shows the invariant mass distributions for data and MC samples of . No candidates are found. Therefore, the same method as before is employed to calculate the upper limits for this process. For data samples taken above , the signal region is set to be [3.995, 4.055] GeV/, and the sideband regions are set to be and . At lower energies, kinematics dictates that candidates cannot have a mass above , where is nominal mass. Accordingly, we use a single sideband region of [3.900, 3.960] GeV/.
The Born cross section multiplied by branching fractions is calculated with the following formula:
(3) | ||||
where is the number of signal events. The corresponding upper limits at the 90% C.L. for each energy are listed in Table 1 and shown in Fig. 2 (b).
Assuming the Born cross section of is constant at GeV, the average Born cross section multiplied by branching fractions for data is calculated with the following formula:
(4) | ||||
where is the total number of signal events. The corresponding upper limit for the average Born cross section multiplied by the branching fraction is determined to be 1.6 fb at the 90% C.L.
V V. SYSTEMATIC UNCERTAINTY ESTIMATION
The systematic uncertainties of and originate from the luminosity measurement, the tracking efficiency, the photon detection efficiency, the kinematic fit, the mass window, the mass window, the parameters, the line shape, the generator model, the ISR correction, and the input branching fractions.
The integrated luminosity at each point has been measured with a precision of using the Bhabha process luminosity .
The uncertainty from the tracking efficiency is per track omegachic0 and the uncertainty in photon detection efficiency is per photon photon .
The uncertainty due to the kinematic fit requirements is estimated by correcting the helix parameters of charged tracks according to the method described in Ref. helix . The difference between detection efficiencies obtained from MC samples with and without this correction is taken as the uncertainty.
The uncertainty for the mass window is estimated using the control sample of . The difference of the efficiency between data and MC simulation is found to be 1.6 jpsimasswindow , which is taken as the uncertainty.
The uncertainty from the mass window is estimated by changing the window range by 10%, and the largest efficiency change is taken as the uncertainty.
The uncertainties arising from the mass and width are estimated by changing them by one standard deviation values pdg while generating the signal MC. The largest efficiency difference relative to the nominal one is taken as the uncertainty.
The line shape affects the ISR correction factor and the efficiency. No obvious signal was found for our search, so we use the line shape from in Ref. twobw as the input line shape to get the nominal results. To get the uncertainty introduced by the line shape, we change it to a Breit-Wigner function describing the or , with the masses and widths fixed to the values from PDG pdg . The largest difference of the final result is taken as a systematic uncertainty.
For the systematic uncertainty from the MC simulation describing the process , we use the three-body phase space MC simulation to get the nominal efficiency, then change to the . The difference on the detection efficiency with and without the intermediate resonant state is taken as the uncertainty due to the MC generator model.
The systematic uncertainty from the MC simulation describing the process is estimated by varying the distribution of the polar angle . The nominal efficiency is determined assuming a flat distribution in . A conservative estimate of the systematic uncertainty is obtained using alternative MC samples with angular distributions of . The largest change of efficiency is taken as the uncertainty due to the MC generator model.
The ISR correction factor is obtained from quantum electrodynamics calculations QED ; KKMC . We also analyze MC samples with and without ISR effects considered to get the ISR correction factor, the difference of the two results is taken as the systematic uncertainty on the ISR correction factor.
As uncertainties introduced by the branching fractions of and we use those quoted by the PDG pdg .
Table 2 summarizes all the systematic uncertainties related to and for each center-of-mass energy. The total systematic uncertainty for each energy point is calculated as the quadratic sum of the individual uncertainties, assuming them to be uncorrelated.
(GeV) | Tracks | Photons | Line shape | Generator | ISR | Sum | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
4.178 | 1.0 | 4.0 | 3.0 | (2.6, 2.0) | 1.6 | 1.3 | (-, 4.2) | (5.6, 6.0) | (7.4, 2.4) | (0.7, 0.7) | 0.4 | (11.1, 9.7) |
4.189 | 1.0 | 4.0 | 3.0 | (2.8, 2.1) | 1.6 | 1.3 | (-, 3.5) | (6.4, 6.8) | (5.7, 3.9) | (0.7, 0.6) | 0.4 | (10.6, 10.4) |
4.199 | 1.0 | 4.0 | 3.0 | (2.1, 2.2) | 1.6 | 1.3 | (-, 4.3) | (6.7, 4.7) | (7.5, 3.9) | (0.5, 0.5) | 0.4 | (11.7, 9.6) |
4.209 | 1.0 | 4.0 | 3.0 | (2.0, 2.1) | 1.6 | 1.4 | (-, 4.1) | (4.9, 6.3) | (3.5, 6.6) | (0.2, 0.3) | 0.4 | (8.4, 11.6) |
4.219 | 1.0 | 4.0 | 3.0 | (2.4, 2.6) | 1.6 | 1.5 | (-, 5.7) | (4.3, 3.5) | (5.2, 7.7) | (0.1, 0.1) | 0.4 | (9.1, 11.9) |
4.226 | 1.0 | 4.0 | 3.0 | (2.3, 2.1) | 1.6 | 1.5 | (-, 5.6) | (1.5, 2.3) | (5.1, 7.1) | (0.1, 0.1) | 0.4 | (8.0, 11.1) |
4.236 | 1.0 | 4.0 | 3.0 | (2.3, 2.1) | 1.6 | 1.5 | (-, 6.3) | (2.1, 2.2) | (1.3, 9.2) | (0.1, 0.1) | 0.4 | (6.5, 12.8) |
4.244 | 1.0 | 4.0 | 3.0 | (2.1, 2.3) | 1.6 | 1.3 | (-, 4.6) | (4.4, 1.3) | (3.3, 9.7) | (0.2, 0.1) | 0.4 | (8.1, 12.4) |
4.258 | 1.0 | 4.0 | 3.0 | (2.3, 2.6) | 1.6 | 1.6 | (-, 5.8) | (6.4, 4.4) | (3.3, 9.5) | (0.2, 0.3) | 0.4 | (9.4, 13.5) |
4.267 | 1.0 | 4.0 | 3.0 | (2.0, 2.0) | 1.6 | 1.3 | (-, 5.9) | (5.7, 6.8) | (0.2, 12.9) | (0.2, 0.1) | 0.4 | (8.2, 16.8) |
4.278 | 1.0 | 4.0 | 3.0 | (2.4, 2.1) | 1.6 | 1.5 | (-, 5.6) | (6.9, 7.2) | (1.0, 13.6) | (0.2, 0.1) | 0.4 | (9.2, 17.4) |
4.288 | 1.0 | 4.0 | 3.0 | (2.1, 2.2) | 1.6 | 1.4 | (-, 5.9) | (7.9, 6.0) | (1.3, 13.5) | (0.2, 0.1) | 0.4 | (10.0, 17.0) |
4.312 | 1.0 | 4.0 | 3.0 | (2.8, 2.1) | 1.6 | 1.3 | (-, 6.6) | (5.8, 5.9) | (2.2, 15.4) | (0.1, 0.2) | 0.4 | (8.8, 18.7) |
4.338 | 1.0 | 4.0 | 3.0 | (2.1, 2.2) | 1.6 | 1.5 | (-, 5.4) | (7.0, 5.6) | (2.9, 16.0) | (0.1, 0.1) | 0.4 | (9.6, 18.8) |
4.358 | 1.0 | 4.0 | 3.0 | (2.0, 1.8) | 1.6 | 1.2 | (-, 5.6) | (7.6, 6.1) | (2.8, 15.5) | (0.1, 0.1) | 0.4 | (10.0, 18.5) |
4.378 | 1.0 | 4.0 | 3.0 | (2.1, 1.8) | 1.6 | 1.5 | (-, 6.0) | (7.0, 3.9) | (3.5, 14.9) | (0.1, 0.1) | 0.4 | (9.8, 17.5) |
4.397 | 1.0 | 4.0 | 3.0 | (2.1, 1.8) | 1.6 | 1.3 | (-, 7.4) | (5.3, 5.5) | (5.3, 16.4) | (0.1, 0.1) | 0.4 | (9.5, 19.7) |
4.416 | 1.0 | 4.0 | 3.0 | (1.8, 1.7) | 1.6 | 1.3 | (-, 7.1) | (4.4, 5.5) | (4.3, 19.0) | (0.1, 0.1) | 0.4 | (8.5, 21.8) |
4.437 | 1.0 | 4.0 | 3.0 | (2.1, 2.0) | 1.6 | 1.4 | (-, 7.1) | (3.1, 1.2) | (5.9, 17.4) | (0.1, 0.2) | 0.4 | (8.9, 19.7) |
4.467 | 1.0 | 4.0 | 3.0 | (2.4, 2.2) | 1.6 | 1.5 | (-, 7.3) | (3.7, 5.5) | (9.8, 18.2) | (0.1, 0.1) | 0.4 | (12.1, 21.2) |
4.527 | 1.0 | 4.0 | 3.0 | (2.6, 1.5) | 1.6 | 1.5 | (-, 7.4) | (5.8, 2.1) | (5.5, 17.8) | (0.2, 0.3) | 0.4 | (10.1, 20.2) |
4.575 | 1.0 | 4.0 | 3.0 | (2.3, 1.5) | 1.6 | 1.4 | (-, 7.2) | (4.1, 3.0) | (7.4, 20.1) | (0.5, 0.5) | 0.4 | (10.4, 22.3) |
4.600 | 1.0 | 4.0 | 3.0 | (2.3, 1.9) | 1.6 | 1.4 | (-, 6.6) | (0.4, 1.1) | (8.1, 16.2) | (0.5, 0.6) | 0.4 | (10.1, 18.5) |
VI VI. SUMMARY
Using data samples collected at the center-of-mass energies between 4.178 and 4.600 GeV, the processes and are investigated. In neither of the two processes are significant signals observed. Upper limits at the 90% C.L. on the cross sections multiplied by the branching fractions, and , are reported for each energy point. The average cross sections multiplied by branching fractions are also determined. The measured results of the process are not in conflict with the theoretical expectation of about 0.1 fb guob . A three orders of magnitude increase in statistics is needed to test these models.
Using the experimental results on the at and GeV zc40202 , the ratio is determined to be less than 0.15% at the 90% C.L. The ratio does not contradict the prediction reported in Ref. voloshin based on the molecular picture. Since no significant signals are observed, we cannot study the lineshape as proposed in Ref. guo ; ortega ; this may be achieved at future super tau-charm facilities supertaocharm1 ; supertaocharm2 .
VII 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 Research and Development Program of China under Contracts Nos. 2020YFA0406300, 2020YFA0406400; National Natural Science Foundation of China (NSFC) under Contracts Nos. 11905179, 11625523, 11635010, 11735014, 11822506, 11835012, 11935015, 11935016, 11935018, 11961141012; the Chinese Academy of Sciences (CAS) Large-Scale Scientific Facility Program; Joint Large-Scale Scientific Facility Funds of the NSFC and CAS under Contracts Nos. U1732263, U1832207; 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; ERC under Contract No. 758462; European Union Horizon 2020 research and innovation programme under Contract No. Marie Sklodowska-Curie grant agreement No 894790; Nanhu Scholars Program for Young Scholars of Xinyang Normal University; German Research Foundation DFG under Contracts Nos. 443159800, Collaborative Research Center CRC 1044, FOR 2359, FOR 2359, GRK 214; Istituto Nazionale di Fisica Nucleare, Italy; Ministry of Development of Turkey under Contract No. DPT2006K-120470; National Science and Technology fund; Olle Engkvist Foundation under Contract No. 200-0605; STFC (United Kingdom); The Knut and Alice Wallenberg Foundation (Sweden) under Contract No. 2016.0157; The Royal Society, UK under Contracts Nos. DH140054, DH160214; The Swedish Research Council; U. S. Department of Energy under Contracts Nos. DE-FG02-05ER41374, DE-SC-0012069.
References
- (1) P. A. Zyla et al. (Particle Data Group), Prog. Theor. Phys. 2020, 083C01 (2020).
- (2) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. Lett. 108, 232001 (2012).
- (3) N. Brambilla et al., Eur. Phys. J. C 71, 1534 (2011).
- (4) R. A. Briceno et al., Chin. Phys. C 40, 042001 (2016).
- (5) H. X. Chen, W. Chen, X. Liu, and S. L. Zhu, Phys. Rept. 639, 1 (2016).
- (6) S. K. Choi et al. (Belle Collaboration), Phys. Rev. Lett. 91, 262001 (2003).
- (7) R. Aaij et al. (LHCb Collaboration), J. High Energy Phys. 08, 123 (2020).
- (8) R. Aaij et al. (LHCb Collaboration), Phys. Rev. D 102, 092005 (2020).
- (9) C. Hanhart, Y. S. Kalashnikova, A. E. Kudryavtsev, and A. V. Nefediev, Phys. Rev. D 76, 034007 (2007).
- (10) P. Artoisenet, E. Braaten, and D. Kang, Phys. Rev. D 82, 014013 (2010).
- (11) F. K. Guo, Phys. Rev. Lett. 122, 202002 (2019).
- (12) P. G. Ortega and E. R. Arriola, arXiv:2007.11608.
- (13) S. Sakai, H. J. Jing, and F. K. Guo, Phys. Rev. D 102, 114041 (2020).
- (14) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. Lett. 122, 232002 (2019).
- (15) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. D 102, 012009 (2020).
- (16) M. B. Voloshin, Phys. Rev. D 99, 054028 (2019).
- (17) M. Ablikim et al. (BESIII Collaboration), Nucl. Instrum. Methods Phys. Res., Sect. A 614, 345 (2010); M. Ablikim et al. (BESIII Collaboration), Chin. Phys. C 44, 040001 (2020).
- (18) C. H. Yu et al., Proceedings of IPAC2016, Busan, Korea, 2016, doi:10.18429/JACoW-IPAC2016-TUYA01.
- (19) X. Li et al., Rad. Det. Tech. Meth. 1, 13 (2017); Y. X. Guo et al., Rad. Det. Tech. Meth. 1, 15 (2017).
- (20) S. Agostinelli et al. (GEANT4 Collaboration), Nucl. Instrum. Methods Phys. Res., Sect. A 506, 250 (2003).
- (21) S. Jadach, B. F. L. Ward, and Z. Was, Phys. Rev. D 63, 113009 (2001); Comput. Phys. Commun. 130, 260 (2000).
- (22) D. J. Lange, Nucl. Instrum. Methods Phys. Res., Sect. A 462, 152 (2001); R. G. Ping, Chin. Phys. C 32, 599 (2008).
- (23) J. C. Chen, G. S. Huang, X. R. Qi, D. H. Zhang, and Y. S. Zhu, Phys. Rev. D 62, 034003 (2000); R. L. Yang, R. G. Ping, and H. Chen, Chin. Phys. Lett. 31, 061301 (2014).
- (24) E. Richter-Was, Phys. Lett. B 303, 163 (1993).
- (25) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. Lett. 118, 092002 (2017).
- (26) W. A. Rolke, A. M. Lopez, and J. Conrad, Nucl. Instrum. Methods Phys. Res., Sect. A 551, 493-503 (2005).
- (27) https://root.cern.ch/root/html604/TRolke.html
- (28) https://root.cern/manual
- (29) M. Ablikim et al. (BESIII Collaboration), Chin. Phys. C 39, 093001 (2015).
- (30) E. A. Kuraev and V. S. Fadin, Sov. J. Nucl. Phys. 41, 466 (1985).
- (31) S. Actis et al. (Working Group on Radiative Corrections and Monte Carlo Generators for Low Energies), Eur. Phys. J. C 66, 585 (2010).
- (32) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. D 99, 091103 (R) (2019).
- (33) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. D 101, 012008 (2020).
- (34) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. D 87, 012002 (2013).
- (35) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. D 93, 011102 (R) (2016); Phys. Rev. D 103, L091102 (2021).
- (36) M. Ablikim et al. (BESIII Collaboration), Phys. Rev. Lett. 115, 182002 (2015).
- (37) A. E. Bondar et al. (Charm-Tau Factory Collaboration), Phys. Atom. Nucl. 76, 1072 (2013).
- (38) Z. Zhou et al., International Particle Accelerator Conference (IPAC 2016), Busan, Korea (2016), http://jacow.org/ipac2016/papers/thpor047.pdf.