Abstract
From 2011 to 2014, the BESIII experiment collected about 5 fb−1 data at center-of-mass energies around 4 GeV for the studies of the charmonium-like and higher excited charmonium states. By analyzing the di-muon process e+e− → γISR/FSRμ+μ−, the center-of-mass energies of the data samples are measured with a precision of 0.8 MeV. The center-of-mass energy is found to be stable for most of the time during data taking.
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1. Introduction
The BESIII detector operating at the BEPCII accelerator is designed to study physics in the τ-charm energy region (2–4.6 GeV) [1]. From 2011 to 2014, the BESIII experiment accumulated 5 fb−1 of e+ e− collision data at center-of-mass energies between 3.810 and 4.600 GeV to study the charmonium-like and higher excited charmonium states [2]. In the past, BESIII has taken large data samples at the J/ψ, ψ(3686) and ψ(3770) peaks. The corresponding beam energy was fine tuned by a J/ψ or ψ(3686) mass scan before the data-taking. However, around 4 GeV, there is no narrow resonance in e+e− annihilation, and the ψ(3686) peak is too far away to be used to calibrate the beam energy. The Beam Energy Measurement System (BEMS), which was installed in 2008, is designed to measure the beam energy with a relative systematic uncertainty of 2×10−5 [3] based on the energies of Compton back-scattered photons. The performance of BEMS is verified through measurement of the ψ(3686) mass, but 4 GeV is beyond the working range of BEMS. To precisely measure the masses of the newly observed Zc [4, 5] particles, especially for those which are observed by a partial reconstruction method [6, 7], a precise knowledge of the center-of-mass energy (Ecms) is crucial.
In this paper, we develop a method to measure the Ecms using the di-muon process
where γISR/FSR represents possible initial state radiative (ISR) or final state radiative (FSR) photons. The Ecms can be written as
where M(μ+μ−) is the invariant mass of μ+μ−, and ΔMISR/FSR is the mass shift due to ISR/FSR radiation. In the analysis, ΔMISR/FSR is estimated from a Monte Carlo (MC) simulation of the di-muon process by turning the ISR/FSR on or off, where the ISR/FSR is simulated by babayaga3.5 [8]. To make sure the measured invariant mass M(μ+μ−) is unbiased, we validate the reconstructed momentum of μ+/μ− with the J/ψ signal from the process e+e−→ γISRJ/ψ with J/ψ → μ+μ−(γFSR) in the same data samples.
2. The BESIII detector and data sets
The BESIII detector is described in detail in Ref. [9]. The detector is cylindrically symmetric and covers 93% of the solid angle around the collision point. The detector consists of four main components: (a) A 43-layer main drift chamber (MDC) provides momentum measurement for charged tracks with a momentum resolution of 0.5% at 1 GeV/c in a 1 T magnetic field. (b) A time-of-flight system (TOF) composed of plastic scintillators has a time resolution of 80 ps (110 ps) in the barrel (endcaps). (c) An electromagnetic calorimeter (EMC) made of 6240 CsI(Tl) crystals provides an energy resolution for photons of 2.5% (5%) at 1 GeV in the barrel (endcaps). (d) A muon counter (MUC), consisting of 9 (8) layers of resistive plate chambers in the barrel (endcaps) within the return yoke of the magnet, provides 2 cm position resolution. The electron and positron beams collide with an angle of 22 mrad at the interaction point (IP) in order to separate the e+ and e− beams after the collision. A geant4 [10] based detector simulation package is developed to model the detector response for MC events.
In total, there are 25 data samples taken at different center-of-mass energies or during different periods, as listed in Table 1. The data sets are listed chronologically, and the ID number is the requested Ecms. The offline luminosity is measured through large-angle Bhabha scattering events with a precision of 1% [11]. In this paper, we measure Ecms for all the 25 data samples and examine its stability during each data taking period.
Table 1. Summary of the data sets, including ID, run number, offline luminosity, the measured Mcor(J/ψ), Mobs(μ+μ−), and Ecms. The first uncertainty is statistical, and the second is systematic. Superscripts indicate separate samples acquired at the same Ecms. The "−" indicates samples which are combined with the previous one(s) to measure Mcor(μ+μ−).
ID | run number | offline lum./pb−1 | Mcor(J/ψ)/(MeV/c2) | Mobs(μ+μ−)/(MeV/c2) | Ecms/Me |
---|---|---|---|---|---|
40091 | 23463 to 23505 | 481.96±0.01 | 3097.00±0.15 | 4005.90±0.15 | 4009.10±0.15±0.59 |
40092 | 23510 to 24141 | – | 4004.26±0.05 | 4007.46±0.05±0.66 | |
42601 | 29677 to 29805 | 523.74±0.10 | 3096.95±0.26 | (4367.37 − 3.75 × 10−3 × Nrun)±0.12 | (4370.95 − 3.75 × 10−3 × Nrun)±0.12±0.62 |
42602 | 29822 to 30367 | – | 4254.42±0.06 | 4258.00±0.06±0.60 | |
4190 | 30372 to 30437 | 43.09±0.03 | 3097.53±0.51 | 4185.12±0.15 | 4188.59±0.15±0.68 |
42301 | 30438 to 30491 | 44.40±0.03 | – | 4223.83±0.18 | 4227.36±0.18±0.63 |
4310 | 30492 to 30557 | 44.90±0.03 | – | 4304.22±0.17 | 4307.89±0.17±0.63 |
4360 | 30616 to 31279 | 539.84±0.10 | 3096.42±0.28 | 4354.51±0.05 | 4358.26±0.05±0.62 |
4390 | 31281 to 31325 | 55.18±0.04 | 3096.39±0.62 | 4383.60±0.17 | 4387.40±0.17±0.65 |
44201 | 31327 to 31390 | 44.67±0.03 | – | 4413.10±0.20 | 4416.95±0.20±0.63 |
42603 | 31561 to 31981 | 301.93±0.08 | 3096.76±0.34 | 4253.85±0.07 | 4257.43±0.07±0.66 |
4210 | 31983 to 32045 | 54.55±0.03 | 3096.88±0.43 | 4204.23±0.14 | 4207.73±0.14±0.61 |
4220 | 32046 to 32140 | 54.13±0.03 | – | 4213.61±0.14 | 4217.13±0.14±0.67 |
4245 | 32141 to 32226 | 55.59±0.04 | – | 4238.10±0.12 | 4241.66±0.12±0.73 |
42302 | 32239 to 32849 | 1047.34±0.14 | 3096.58±0.18 | (4316.81 − 2.87 × 10−3 × Nrun)±0.05 | (4320.34 − 2.87 × 10−3 × Nrun)±0.05±0.60 |
42303 | 32850 to 33484 | – | 4222.01±0.05 | 4225.54±0.05±0.65 | |
3810 | 33490 to 33556 | 50.54±0.03 | 3097.38±0.37 | 3804.82±0.10 | 3807.65±0.10±0.58 |
3900 | 33572 to 33657 | 52.61±0.03 | – | 3893.26±0.11 | 3896.24±0.11±0.72 |
4090 | 33659 to 33719 | 52.63±0.03 | – | 4082.15±0.14 | 4085.45±0.14±0.66 |
4600 | 35227 to 36213 | 566.93±0.11 | 3096.54±0.33 | 4595.38±0.07 | 4599.53±0.07±0.74 |
4470 | 36245 to 36393 | 109.94±0.04 | 3096.69±0.42 | 4463.13±0.11 | 4467.06±0.11±0.73 |
4530 | 36398 to 36588 | 109.98±0.04 | – | 4523.10±0.11 | 4527.14±0.11±0.72 |
4575 | 36603 to 36699 | 47.67±0.03 | – | 4570.39±0.18 | 4574.50±0.18±0.70 |
44202 | 36773 to 37854 | 1028.89±0.13 | 3096.65±0.21 | 4411.99±0.04 | 4415.84±0.04±0.62 |
44203 | 37855 to 38140 | – | 4410.21±0.07 | 4414.06±0.07±0.72 |
3. Muon momentum validation with J/ψ signal
The measurement of high momentum muons is validated with J/ψ → μ+μ− candidates selected via the process e+e− → γISRJ/ψ. Events must have only two good oppositely charged tracks. Each good charged track must be consistent with originating from the IP, by requiring the impact parameter to be within 1 cm in the radial direction (Vxy < 1 cm) and 10 cm in the z direction (|Vz| < 10 cm) from the run-dependent IP, and within the polar angle region |cosθ| < 0.8 (i.e. accepting only tracks in the barrel region). The energy deposition in the EMC (E) for each charged track is required to be less than 0.4 GeV to suppress background from radiative Bhabha events. A further requirement on the opening angle between the two tracks, cosθμ+μ− > − 0.98, is used to remove cosmic rays. The background remaining after the above selection comes from the radiative di-muon process, which has exactly the same final state and cannot be completely removed. The radiative di-muon events show a smooth distribution in M(μ+μ−). With the above selection criteria imposed, the distribution of M(μ+μ−) of each sample, having a tail on the low mass side due to final state radiation (FSR) effects, is fitted with an asymmetric function of a crystal-ball function [12] for the J/ψ signal and a linear function to model the background. Figure 1 shows the fit result for data sample 4600 as an example. In order to reduce the fluctuation of M(μ+μ−), adjacent data samples with small statistics are combined. Due to FSR, J/ψ → μ+μ−γFSR, the measured Mobs(μ+μ−) is slightly lower than the nominal J/ψ mass [13]. The mass shift due to the FSR photon(s) ΔMFSR is estimated by simulated samples of the process e+e−→ γISRJ/ψ with 50,000 events each, generated at different energies using the generator photos [15] with FSR turned on and off. The mass shift ΔMFSR at each Ecms is obtained as the difference in Mobs(μ+μ−) between the MC samples with FSR turned on and off. These simulation studies validate that ΔMFSR is independent of Ecms. A weighted average, ΔMFSR = (0.59±0.04) MeV/c2, is obtained by fitting the ΔMFSR versus Ecms. The measured mass corrected by ΔMFSR, Mcor(μ+μ−), is plotted in Fig. 2 and listed in Table 1 (column 4). The values of Mcor(μ+μ−) for the different data samples are consistent within errors. By fitting the Mcor(μ+μ−) of all data samples with a first-order polynomial, the average Mcor(μ+μ−) is obtained to be Mcor(μ+μ−) = 3096.79±0.08 MeV/c2, which agrees with the nominal J/ψ mass within errors. The goodness of the fit is χ2/ndf = 11.68/11 = 1.06. The small difference is considered as a systematic uncertainty in Section 7.
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Standard image High-resolution image4. The mass shift ΔMISR/FSR
The Ecms of the initial e+e− pair is measured via the di-muon process e+e− → γISR/FSRμ+μ−. However, due to the emission of radiative photons, the invariant mass of the μ+μ− pair is less than the Ecms of the initial e+e− pair by ΔMISR/FSR. In general, the mass shift due to FSR is small, about 0.6 MeV/c2 at 3.097 GeV, and the mass shift due to ISR is 2–3 MeV/c2, which has been well studied theoretically [14]. In the analysis, the ΔMISR/FSR is estimated with MC simulation using babayaga3.5 [8]. We generate 50000 di-muon MC events for each sample with ISR/FSR turned on and off, and take the difference in M(μ+μ−) as the mass shift ΔMISR/FSR caused by ISR and FSR. In order to avoid possible bias, the same event selection criteria for the di-muon process applied for data (as described in Section 5) are imposed to the MC samples.
The distributions of M(μ+μ−) with ISR/FSR on and off are fitted with a Gaussian function in a range around the peak (same method with data in Section 5). The difference in peak positions (the mass shift ΔMISR/FSR) versus Ecms is seen to increase with Ecms, as shown in Fig. 3. The ΔMISR/FSR is fitted with a linear function. The fit result is ΔMISR/FSR = (−3.53±1.11) + (1.67 ± 0.28) × 10−3 × Ecms/MeV with statistical uncertainty only. The goodness of the fit is χ2/n.d.f = 6.3/13. The resulting Ecms-dependent ΔMISR/FSR will be used to correct the measured Mobs(μ+μ−) for the effects of ISR and FSR.
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Standard image High-resolution imageThe mass shift due to FSR only, ΔMFSR, is estimated by comparing MC samples of di-muon production with FSR turned on and off. We find that ΔMFSR increases with Ecms and we parameterize the Ecms dependence with a first-order polynomial as ΔMFSR = (−1.34 ± 0.84) + (0.56 ± 0.21)×10−3×Ecms/MeV, where the corresponding correlation coefficient between the parameters is − 0.964. So the corresponding ΔMFSR at 3.81 GeV (4.6 GeV) is 0.79 ± 0.09 MeV/c2 (1.24 ± 0.14 MeV/c2).
5. The measurement of Ecms
To select the di-muon process e+e− → (γISR/FSR) μ+μ−, the requirement for charged tracks is the same as the γISRJ/ψ selection. To achieve the best precision, only events with both tracks in the barrel region (i.e., in the polar angle region |cosθ|<0.80) are accepted. A requirement on the opening angle between the two tracks of 178.60° < θμμ < 179.64° is applied to suppress cosmic ray and di-muon events with high-energy radiative photons. To further remove cosmic ray events, the TOF timing difference between the two tracks is required to be |Δt| < 4 ns. The background contribution following the above selection criteria is less than 0.001% compared to signal and is therefore neglected in the following.
After applying the above selection, the distribution of Mobs(μ+μ−) for selected di-muon events has a tail in the low mass side which cannot be described by a single Gaussian. Since only the peak position of the distribution will be used, we estimate it by fitting with a Gaussian function in the range of (−1σ,2σ) around the peak, where σ is the standard deviation of the Gaussian. To examine the stability of Ecms over time for each data sample, the fit procedure is performed for each run of the data samples, where a run normally corresponds to one hour of data taking. The fit result for one run of the 4600 data sample is shown in Fig. 4. The measured μ+μ− masses versus the run number for the samples 40091,2, 42601,2, 4360, 42302,3, 4600, and 44202,3 are plotted in Fig. 5. For the sample 42601 (42302), the measured Mobs(μ+μ−) changes slowly and is fitted with a linear function. The fit gives (4367.37±53.53) + (−3.75±1.80) × 10−3 × Nrun ((4316.81±7.84) + (−2.87±0.24) × 10−3 × Nrun) in unit of MeV/c2, where Nrun is the run number. Since the uncertainty is Nrun dependent, we take the largest value from error propagation as the corresponding statistical uncertainty. For other data samples, Mobs(μ+μ−) remains stable, and the average value is used to calculate Ecms. The samples 40091 (44202) and 40092 (44203) are separated because they show a sudden drop in the average energies. Table 1 (column 5) summarizes the measured Mobs(μ+μ−) for each sample.
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Standard image High-resolution imageDownload figure:
Standard image High-resolution imageEcms is finally obtained by adding the energy-dependent mass shift ΔMISR/FSR due to ISR/FSR obtained in Section 4 to the measured Mobs(μ+μ−). The measured Ecms is listed in Table 1 (column 6); the systematic uncertainty will be discussed in Section 7.
Each of the data sets 4009, 4230, 4260, and 4420 is split into several sub-samples. We calculate the luminosity-weighted average Ecms for each, and the largest systematic uncertainty of the sub-samples is taken as the systematic uncertainty. In Table 2, we summarize the weighted average Ecms for all data samples.
Table 2. Weighted average Ecms for all data samples. The first uncertainty is statistical, and the second is systematic.
ID | weighted average Ecms/MeV |
---|---|
3810 | 3807.65±0.10±0.58 |
3900 | 3896.24±0.11±0.72 |
4009 | 4007.62±0.05±0.66 |
4090 | 4085.45±0.14±0.66 |
4190 | 4188.59±0.15±0.68 |
4210 | 4207.73±0.14±0.61 |
4220 | 4217.13±0.14±0.67 |
4230 | 4226.26±0.04±0.65 |
4245 | 4241.66±0.12±0.73 |
4260 | 4257.97±0.04±0.66 |
4310 | 4307.89±0.17±0.63 |
4360 | 4358.26±0.05±0.62 |
4390 | 4387.40±0.17±0.65 |
4420 | 4415.58±0.04±0.72 |
4470 | 4467.06±0.11±0.73 |
4530 | 4527.14±0.11±0.72 |
4575 | 4574.50±0.18±0.70 |
4600 | 4599.53±0.07±0.74 |
6. Cross check
The processes of e+e− → π+π−K+K− and e+e− → π+π−pp̅ are used to check the measurement of Ecms. Similar to the di-muon process e+e−→ γISR/FSRμ+μ−, the Ecms of the initial e+e− system is estimated by the corrected invariant masses of the final state particles Mcor(π+π−K+K−) and Mcor(π+π−pp̅). The measurement of the low momentum charged tracks is validated using the decay channels D0 → K−π+ and D̅0 → K+π−. The measured mass, Mobs(K−π+/K+π−) = 1864.00 ± 0.70 MeV/c2 (statistical uncertainty only) is consistent with the nominal D0/D̅0 mass [13] with a deviation of 0.84 ± 0.71 MeV/c2. Both the corrected Mcor(π+π−K+K−) and Mcor(π+π−pp̅) are found to be consistent with Ecms obtained using the di-muon process, with the largest deviation of 0.53 ± 0.75 MeV found in sample 4420.
7. Systematic uncertainties
The systematic uncertainty in Ecms in this analysis is estimated by considering the uncertainties from the momentum measurement of the μ±, the estimation of the mass shift ΔMISR/FSR due to ISR/FSR, the generator, and the corresponding fit procedure.
We use the J/ψ invariant mass via the process J/ψ → μ+μ− to check the momentum reconstruction. The measured J/ψ mass corrected for FSR effects at each energy, Mcor(J/ψ), is close to the nominal J/ψ mass. To be conservative, we use a first-order polynomial to fit the Mcor(J/ψ) versus Ecms distribution, and find the largest difference in the J/ψ mass between the fit result and the nominal value to be 0.34 MeV/c2. We take as the systematic uncertainty due to the momentum measurement.
The mass shift ΔMISR/FSR due to ISR/FSR is Ecms dependent, and is obtained from MC samples with 50,000 generated events each. The standard deviation of the distribution of ΔMISR/FSR versus Ecms is given by
where ΔMISR/FSR is the value from the fit (Fig. 3), and N is the number of points in Fig. 3. A value of 0.37 MeV/c2 is taken as systematic uncertainty due to the ISR/FSR correction.
Additionally, we use two different generators (babay- aga3.5 and babayaga@nlo) to estimate the mass shift ΔMISR/FSR. The averaged difference in ΔMISR/FSR from the two generators is 0.036 ± 0.067 MeV/c2, which reflects the contribution to the systematic uncertainty of the ISR/FSR correction from the generator; it is negligibly small.
Mobs(μ+μ−) is measured run-by-run and is found to be stable during data-taking for most samples. For the runs in each sample (except for samples 42302 and 42601, which are described by a first-order polynomial), the average Ecms is provided to reduce the statistical fluctuation. If the energy shifts gradually during the data-taking, the simple average value will cause a systematic uncertainty. To estimate this systematic error for each sample, we fit the distribution of Mobs(μ+μ−) versus run-number by a first-order polynomial and take the largest difference between the fitting result and the average value, less than 0.25 MeV/c2 on average, as the systematic uncertainty.
The uncertainties from other sources, such as background and event selection, are negligible. Assuming all the sources of systematic uncertainty are independent, the total systematic uncertainty is obtained by adding all items in quadrature, giving the values listed in Table 1 (column 6). The uncertainty is smaller than 0.8 MeV for all the data samples.
8. Summary
The center-of-mass energies of the data taken from 2011 to 2014 for the studies of the charmonium-like and higher excited charmonium states are measured with the di-muon process e+e−→(γISR/FSR)μ+μ−. The corresponding statistical uncertainty is very small, and the systematic uncertainty is found to be less than 0.8 MeV. The measured Ecms is validated by the processes e+e− → π+π−K+K− and e+e− → π+π−pp̅. The stability of Ecms over time for the data samples is examined. For samples 4009, 4230, 4260, 4420, we also give the luminosity-weighted average Ecms. The results are essential for the discovery of new states and investigation of the transition of charmonium and charmonium-like states [4–7].
The BESIII collaboration thanks the staff of BEPCII and the IHEP computing center for their strong support.
Footnotes
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Supported by National Key Basic Research Program of China (2015CB856700), National Natural Science Foundation of China (11125525, 11235011, 11322544, 11335008, 11425524, Y61137005C), Chinese Academy of Sciences (CAS) Large-Scale Scientific Facility Program, CAS Center for Excellence in Particle Physics (CCEPP), Collaborative Innovation Center for Particles and Interactions (CICPI), Joint Large-Scale Scientific Facility Funds of NSFC and CAS (11179007, U1232201, U1332201), CAS (KJCX2-YW-N29, KJCX2-YW-N45), 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 (Collaborative Research Center CRC-1044), Istituto Nazionale di Fisica Nucleare, Italy, Ministry of Development of Turkey (DPT2006K-120470), Russian Foundation for Basic Research (14-07-91152), Swedish Research Council, U. S. Department of Energy (DE-FG02-04ER41291, DE-FG02-05ER41374, DE-FG02-94ER40823, DESC0010118), U.S. National Science Foundation, University of Groningen (RuG) and Helmholtzzentrum fuer Schwerionenforschung GmbH (GSI), Darmstadt, WCU Program of National Research Foundation of Korea (R32-2008-000-10155-0).