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Requirement analysis for dE/dx measurement and PID performance at the CEPC baseline detector

Y.Zhu S.Chen H.Cui M.Ruan [email protected] Institute of High Energy Physics, Chinese Academy of Sciences, 19B Yuquan Road, Shijingshan District, Beijing 100049, China University of Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China
Abstract

The Circular Electron-Positron Collider (CEPC) can be operated not only as a Higgs factory but also as a Z-boson factory, offering great opportunities for flavor physics studies where Particle Identification (PID) is critical. The baseline detector of the CEPC could record TOF and dE/dx information that can be used to distinguish particles of different species. We quantify the physics requirements and detector performance using physics benchmark analyzes with full simulation. We conclude that at the benchmark TOF performance of 5050\,ps, the dE/dx resolution should be better than 3% for incident particles in the barrel region with a relevant momentum larger than 22\,GeV/c. This performance leads to an efficiency/purity for K±K^{\pm} identification of 97%/96%, for D0π+KD^{0}\to\pi^{+}K^{-} reconstruction of 68.19%/89.05%, and for ϕK+K\phi\to K^{+}K^{-} reconstruction of 82.26%/77.70%, providing solid support for relevant CEPC flavor physics measurements.

keywords:
CEPC , TPC , PID
journal: NIMA

1 Introduction

The Circular Electron Positron Collider (CEPC) [1] is a large-scale collider facility proposed after the discovery of Higgs boson in 2012. It is designed with a circumference of 100100\,km with two interaction points. It can operate at multiple center-of-mass energies, including 240240\,GeV as a Higgs factory, 160160\,GeV for the W+WW^{+}W^{-} threshold scan, 91GeV91\,GeV as a Z factory, and 360360\,GeV for the tt¯t\bar{t} threshold scan. Table 1 in Ref. [2] summarizes its baseline operating scheme and the corresponding boson yields. In the future, it can be upgraded to a proton-proton collider to directly scan new physics signals at a center-of-mass energy of about 7575\,TeV.

Table 1: The operation scheme of the CEPC, including the center-of-mass energy, the instantaneous luminosity, the total integrated luminosity, and the event yields.
Operation mode Z factory WW Higgs factory tt¯t\bar{t}
s\sqrt{s} (GeV) 91.2 160 240 360
Run time (year) 2 1 10 5
Instantaneous luminosity 191.7 26.6 8.3 0.83
(1034cm2s110^{34}cm^{-2}s^{-1}, per IP)
Integrated luminosity 100 6 20 1
(ab1ab^{-1}, 2 IPs)
Event yields 3×10123\times 10^{12} 1×1081\times 10^{8} 4×1064\times 10^{6} 5×1055\times 10^{5}

The main scientific objective of the CEPC is the precise measurement of the Higgs properties. When CEPC operates as a Z-boson factory, trillions of generated Zqq¯Z\to q\bar{q} events can provide a great opportunity for measuring flavor physics, where particle identification (PID) is essential.

The baseline CEPC detector uses a TPC as the main tracker, which can record the dE/dx or even the cluster count dN/dx [3, 4] information from tracks. In addition, the CEPC detector is proposed to have TOF capability with cluster-level precision of 5050\,ps. The TOF and dE/dx information depend on the particle species and its momentum, and enable K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp identification. In this paper, the dE/dx performance of the CEPC TPC is investigated based on Monte Carlo (MC) simulation, which induces the intrinsic dE/dx resolution. In real experiments, both detector effects and imperfect calibration can deteriorate the dE/dx resolution. Based on the potential degradation in previous TPCs by comparing their experimental achievements with the corresponding intrinsic dE/dx resolutions obtained from MC simulation, we quantify the performance requirements of dE/dx using full simulated Z-pole samples corresponding to the Z-pole operation of the CEPC.

This article is organized as follows. Section 2 introduces the detector, software, and samples used in this analysis. Section 3 describes the measurement of TOF and dE/dx and investigates the K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp separation performance. Section 4 presents the performance of K±K^{\pm} identification, D0π+KD^{0}\to\pi^{+}K^{-} and ϕK+K\phi\to K^{+}K^{-} reconstruction efficiency/purity using the inclusive hadronic Z-pole samples. A brief conclusion is given in Section 5.

2 The reference detector, software, and samples

The layout of the baseline CEPC detector design is shown in Fig. 1. It is designed following the particle flow principle [5], which emphasizes on the separation of final state particles and measures each final state particle in the most suited subdetector. From innermost part of the detector layout to outermost part, the baseline concept consists of a silicon pixel vertex detector, a silicon inner tracker, a TPC surrounded by a silicon external tracker, a silicon-tungsten sampling ECAL, a steel-Glass Resistive Plate Chambers sampling Hadronic Calorimeter (HCAL), a 3-Tesla superconducting solenoid, and a flux return yoke embedded with a muon detector. The PID performance in this paper is derived by dE/dx and TOF information collected by TPC and ECAL of baseline CEPC detector. The TOF information recorded by ECAL can reach a time resolution of 5050\,ps [6], which can be achieved with modern silicon sensing technologies. Figure 2 shows the structure of the TPC, which is located between the inner and outer silicon trackers and contains 220 radial layers with 66\,mm increments. This TPC has a cylindrical drift volume that provides a very homogeneous electric field. The drift volume is filled with gases combining Ar/CF4/C4H10 at atmospheric pressure with ratios of 95%/3%/2%. A detailed description of the TPC can be found in Ref. [1].

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Figure 1: The structure of the baseline CEPC detector design.
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Figure 2: The structure of the TPC in the CEPC baseline detector design. This TPC is a cylindrical gas detector with an axial electric field formed between the end-plates (yellow) and a central cathode plane/membrane (light blue). The cylindrical walls of the volume form the electric field cage (dark blue). Gas ionization electrons due to charged particles drift to the end-plates where they are collected by readout modules (yellow).

A baseline reconstruction software chain has been developed to evaluate the physics performance of the CEPC baseline detector. The data flow of CEPC baseline software starts from the event generators of Whizard [7, 8] and Pythia [9]. The detector geometry is implemented into the MokkaPlus, a GEANT4 [10] based full simulation module. The MokkaPlus calculates the energy deposition in the detector sensitive volumes and creates simulated hits. For each sub-detector, the digitization module converts the simulated hits into digitized hits by convoluting the corresponding sub-detector responses. The reconstruction modules include tracking, Particle Flow, and high-level reconstruction algorithms. The digitized tracker hits are reconstructed into tracks via the tracking algorithm. The Particle Flow algorithm, Arbor, reads the reconstructed tracks and the calorimeter hits to build particle events. High-level reconstruction algorithms reconstruct composite physics objects and identify the flavor of the jets.

Using the CEPC baseline detector geometry and software chain, we simulated 6.313×1066.313\times 10^{6} inclusive hadronic Z-pole events. These events include all the different quark flavors according to the SM predictions, whose details are shown in Table 2.

Table 2: The branching ratio and the number of simulated events of the Z-pole samples.
Process \mathcal{B} Sample used
Zuu¯Z\to u\overline{u} 11.17% 6.313×1066.313\times 10^{6}
Zdd¯Z\to d\overline{d} 15.84%
Zss¯Z\to s\overline{s} 15.84%
Zcc¯Z\to c\overline{c} 12.03%
Zbb¯Z\to b\overline{b} 15.12%

3 PID performance using TOF and dE/dx

This section presents the measurements of TOF and dE/dx information by ECAL and TPC, respectively, and the corresponding K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp separation performance. The separation power is defined as

SAB=|OAOB|σA2+σB2,S_{AB}=\frac{|O_{A}-O_{B}|}{\sqrt{\sigma_{A}^{2}+\sigma_{B}^{2}}}, (1)

where OA(B)O_{A(B)} is the TOF or dE/dx of particle A(B) and σA(B)\sigma_{A(B)} is the TOF resolution or dE/dx resolution of particle A(B). There are also other ways to define the separation power using different conventions. To be consistent with the definition in the previous paper [11], we use the definition above.

3.1 PID performance using TOF

The TOF of a given particle can be calculated based on its momentum and its flight distance along its trajectory. In magnetic field, the trajectory of a charged particle would be a helix that can interact with the barrel region or the end-cap region of ECAL, depending on the four-momentum of the incident particle. The inner radius of ECAL is represented by R and the radius of the helix is derived as

r=1000Pt0.3Bq(mm),\begin{split}r=\frac{1000\cdot P_{t}}{0.3\cdot B\cdot q}(mm),\end{split} (2)

where PtP_{t}, qq, and B are the transverse momentum in GeV/c, the charge of the incident particle, and the magnetic field strength in the TPC in T, respectively. Once the incident particle interacts with the barrel of the ECAL, the length of the trajectory of the incident particle can be described by arc=2πrϕ2πarc=2\pi r\cdot\frac{\phi}{2\pi}, and the corresponding arc angle is represented by ϕ=2arcsin(R2r)\phi=2\cdot arcsin(\frac{R}{2r}). The velocity of the particle perpendicular/parallel to the B-field is represented by vtv_{t}/vlv_{l}, and the length between the Interaction Point (IP) and the ECAL end cap is represented by LL. At the CEPC, L=2.35L=2.35\,m and R=1.8R=1.8\,m. If 2r2\cdot r >> R & L/vl>arc/vtL/v_{l}>arc/v_{t}, the helix would interact with the barrel of ECAL, TOF=arc/vtTOF=arc/v_{t}. Otherwise, the helix would interact with the end cap of ECAL, TOF=L/vlTOF=L/v_{l}.

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Figure 3: The K±/π±K^{\pm}/\pi^{\pm} separation power as a function of momentum and cosine polar angle including TOF information.

The K±/π±K^{\pm}/\pi^{\pm} separation power as a function of momentum and polar angle θ\theta is shown in Fig. 3. The separation power is peaking around cosθ=0.8cos\theta=0.8 corresponding to the maximum drift length.

3.2 PID performance using dE/dx

The measured dE/dx of a track follows a Landau distribution with a large tail caused by high-energy δ\delta-electrons. The average dE/dx for a track, denoted II, is estimated using the usual “truncated mean” method, where the truncation ratio of 90% is determined to obtain the optimal dE/dx resolution, denoted σI\sigma_{I}. For K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp , the distributions of II as a function of momentum are shown in Fig. 4. The distributions of the absolute difference of II for K±{K}^{\pm}/π±{\pi}^{\pm} and K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp are shown in Fig. 4. The K±K^{\pm} and π±\pi^{\pm} with the same dE/dx at 11\,GeV/c (K±K^{\pm} and ( ) [-.7ex] p\kern-1.79993ptp at 2.52.5\,GeV/c) have no separation power.

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Figure 4: The distribution of II as a function of momentum for K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp (a) and the absolute difference of II for K±{K}^{\pm}/π±{\pi}^{\pm} and K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp (b).
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Figure 5: The intrinsic dE/dx resolution versus the number of pad rings (a), the pad height along the radial direction (b), the ratio of gas density ρ\rho over the default gas density ρ0\rho_{0} (equivalent to the ratio of corresponding pressures) (c), the relativistic velocity βγ\beta\gamma (d) and cosθcos\theta (e) of the ionizing particle. The default working point, where n=222n=222, h=6h=6\,mm, and ρ=ρ0=1.73\rho=\rho_{0}=1.73\,mg/cm3, is indicated with a solid star symbol. Solid lines represent the fit projections. The dE/dx resolution in the end-cap region is described by two red lines in (e).

The predictive power of the dE/dx method depends on precise knowledge of the dE/dx energy loss parameterization and its resolution. The resolution induced by the design of the TPC and the momentum of the incident particle, including the number of pad rings nn, the pad height along the radial direction hh, the density of the working gas ρ\rho, the relativistic velocity βγ\beta\gamma, and the polar angle θ\theta of the particle trajectory, is named “intrinsic dE/dx resolution”. While in real experiments, the dE/dx resolution could be deteriorated by the detector effects arising in the processes of electron drift, signal amplification and readout in TPC. We name the dE/dx resolution in real experiments as “actual dE/dx resolution”.

The differential of the dE/dx resolution, denoted σI/I\sigma_{I}/I, to the parameters of the TPC and the incident particle is shown in Fig. 5. The default values for the parameters of the TPC at the baseline CEPC detector are n=222n=222, h=6h=6\,mm, and ρ=ρ0=1.73\rho=\rho_{0}=1.73\,mg/cm3, which are represented by the solid star markers in Fig. 5. The dE/dx resolution is a power function of nn/hh/ρ\rho/βγ\beta\gamma, while dE/dx resolution is a constant in the barrel region and becomes better with the increase of particle drift distance. However, due to the relatively low physics performance of the end cap, the dE/dx resolution becomes worse in the end-cap region (|cosθ|>0.85|cos\theta|>0.85), see Fig. 5. It can be seen that dE/dx resolution for K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp can be better than 2.5% when βγ>10\beta\gamma>10 in the barrel region. In real experiments, the dE/dx resolution in the barrel region is pursued to be better than 3%. This means that the degradation of the dE/dx resolution caused by the electronics and the detector effects must be controlled to be less than 1/5 of the intrinsic dE/dx resolution in the barrel region. The parameterization of dE/dx resolution can be factorized as

σII=13.5n0.5(hρ)0.3[2.05+0.8(βγ)0.3]×[2.51.5(cosΘ)4+3.9(cosΘ)10],\begin{split}\frac{\sigma_{I}}{I}=\frac{13.5}{n^{0.5}\cdot(h\rho)^{0.3}}\left[2.05+0.8(\beta\gamma)^{-0.3}\right]\\ \times\left[2.5-1.5(cos\Theta)^{4}+3.9(cos\Theta)^{10}\right],\end{split} (3)

where hh and ρ\rho are in mm and mg/cm3, respectively. The distribution of dE/dx resolution as a function of momentum and polar angle for K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp is shown in Fig. 6. The separation power as a function of momentum and polar angle is shown in Fig. 7 for K±{K}^{\pm}/π±{\pi}^{\pm} and Fig. 7 for K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp . The regions with separation power higher than 3 are shown in warm colors.

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Figure 6: The distributions of dE/dx resolution as a function of momentum and cosine polar angle for K±K^{\pm} (a), π±\pi^{\pm} (b), and ( ) [-.7ex] p\kern-1.79993ptp (c).
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Figure 7: Separation power as a function of momentum and cosine polar angle for K±{K}^{\pm}/π±{\pi}^{\pm} (a) and K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp (b).
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Figure 8: The separation power as a function of momentum for K±{K}^{\pm}/π±{\pi}^{\pm} (a) and K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp (b) at a polar angle of π/4\pi/4.
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Figure 9: Combine dE/dx and TOF, separation power as a function of momentum and cosine polar angle for K±{K}^{\pm}/π±{\pi}^{\pm} (a) and K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp (b).

3.3 PID performance combining both

The above analyses investigate the separation power of K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp with TOF and dE/dx information independently. When the polar angle is π/4\pi/4, the separation power as a function of momentum for K±{K}^{\pm}/π±{\pi}^{\pm} and K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp is shown in Fig. 8. The TOF information can enhance the separation power of dE/dx information at about 11\,GeV/c for K±{K}^{\pm}/π±{\pi}^{\pm} separation and about 2.52.5\,GeV/c for K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp separation. After combining dE/dx and TOF, the separation power as a function of momentum and polar angle for K±{K}^{\pm}/π±{\pi}^{\pm} and K±{K}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp is shown in Fig. 9. The regions with separation power higher than 3 are shown in warm colors.

4 PID evaluation

Since the separation power is convention dependent, we can also use the maximal efficiency times purity for K±{K}^{\pm} identification at a given sample, like the inclusive hadronic Z-pole samples listed in Table 2, to study the PID performance of the baseline CEPC detector. In addition, the identification efficiency and purity of any particle that decays into charged hadrons can also be used to quantify the PID performance. Therefore, we extract the D0π+KD^{0}\to\pi^{+}K^{-} and ϕK+K\phi\to K^{+}K^{-} reconstruction efficiency/purity using inclusive hadronic Z-pole samples.

4.1 K±K^{\pm} identification at the Z-pole

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Figure 10: By combining dE/dx and TOF information with intrinsic dE/dx resolution and 5050\,ps TOF resolution, the distribution of the variable (RRK)/σR(R-R_{K})/\sigma_{R} for a sample with K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp at a momentum ranging from 12.012.0\,GeV/c to 12.412.4\,GeV/c and a cosθcos\theta ranging from 0.30 to 0.31 is shown in (a) and the performance of K±K^{\pm} identification with maximum efficiency times purity at different momentum and cosine polar angle combinations is shown in (b).

As demonstrated in Fig. 9, the separation power has a strong dependence on the polar angle and momentum of the particles. Therefore, for a given reference of momentum and polar angle range, we can optimize the cuts to select candidates with maximal efficiency times purity. For example, Fig. 10 shows the distribution of the variable (RRK)/σR(R-R_{K})/\sigma_{R}, where RR is the experimental measurement either by dE/dx alone or by the combination of dE/dx and TOF, RkR_{k} is the expected value for the K±K^{\pm} hypothesis, and σR\sigma_{R} denotes the experimental resolution for K±{K}^{\pm}/π±{\pi}^{\pm}/ ( ) [-.7ex] p\kern-1.79993ptp in a given range of momentum and polar angle. The two vertical lines indicate K±K^{\pm} selection with maximal efficiency times purity. The K±K^{\pm} identification efficiency and purity are defined as

ϵK=NKKNKpK=NKKNKK+NπK+NpK,\begin{split}\epsilon_{K}=\frac{N_{K\to K}}{N_{K}}\\ p_{K}=\frac{N_{K\to K}}{N_{K\to K}+N_{\pi\to K}+N_{p\to K}},\end{split} (4)

where NKN_{K} is the total number of K±K^{\pm} produced, NKKN_{K\to K} is the number of K±K^{\pm} correctly identified, and Nπ(p)KN_{\pi(p)\to K} is the number of π±\pi^{\pm}( ( ) [-.7ex] p\kern-1.79993ptp ) incorrectly identified as K±K^{\pm}.

By combining dE/dx and TOF with intrinsic dE/dx resolution and 5050\,ps TOF resolution, Fig. 10 shows the maximal efficiency times purity of K±K^{\pm} identification at different ranges of momentum and polar angle. The overall efficiency and purity of K±K^{\pm} identification is calculated as

overallefficiency=binsϵkNkbinsNkoverallpurity=binspkNkbinsNk,\begin{split}overall\ efficiency=\frac{\sum_{bins}\epsilon_{k}\cdot N_{k}}{\sum_{bins}N_{k}}\\ overall\ purity=\frac{\sum_{bins}p_{k}\cdot N_{k}}{\sum_{bins}N_{k}},\end{split} (5)

where bin\sum_{bin} means summation over momentum in the range of 0 to 4040\,GeV/c and cosine polar angle in the range of 0 to 1, ϵk\epsilon_{k}, pkp_{k} and NkN_{k} represents the K±K^{\pm} identification efficiency, purity and the number of K±K^{\pm}, respectively, in a given momentum and polar angle range. With above convention, the overall efficiency and purity in Fig. 10 is 98.43% and 97.89%, respectively.

In reality, the dE/dx resolution is affected by detector effects and readout electronics. With the definition σactual=factorσintrinsic\sigma_{actual}=factor\cdot\sigma_{intrinsic}, where σactual\sigma_{actual} is the actual dE/dx resolution and σintrinsic\sigma_{intrinsic} is the intrinsic dE/dx resolution, the performance of K±K^{\pm} identification under different factors with/without combining TOF information are shown in Table 3. The factors are selected according to Table 1 in Ref. [11], which shows several detectors from other high energy experiments have the actual dE/dx resolution decreased by 15% to 50% relative to the intrinsic ones. The results in Table 3 prove that worse dE/dx resolution leads to worse K±K^{\pm} identification performance, while TOF information can improve K±K^{\pm} identification performance on top of dE/dx information. The Ref. [11] performs the same analysis, but the results differ from those in Table 3. There are two reasons for this: First, the Ref. [11] selects candidates based on the intersections of the spectra shown in Fig. 10, which is different from this analysis, and second, the momentum ranges for these two analyzes are different.

Table 3: The K±K^{\pm} identification performance with different factors, σactual=factorσintrinsic\sigma_{actual}=factor\cdot\sigma_{intrinsic}, with/without combination of TOF information at the Z-pole.
factor 1. 1.2 1.5 2.
dE/dx εK\varepsilon_{K} (%) 95.97 94.09 91.19 87.09
purityKpurity_{K} (%) 81.56 78.17 71.85 61.28
dE/dx & TOF εK\varepsilon_{K} (%) 98.43 97.41 95.52 92.3
purityKpurity_{K} (%) 97.89 96.31 93.25 87.33

4.2 D0π+KD^{0}\to\pi^{+}K^{-} reconstruction at the Z-pole

D0D^{0} mesons can be abundantly produced in the CEPC, especially in the Z-pole operating mode, and D0D^{0} mesons are important research objects for the study of CP violation. It is important to understand the reconstruction performance of D0D^{0} in the baseline design of the CEPC detector. Using the inclusive Zqq¯Z\to q\overline{q} sample and under the condition of intrinsic dE/dx resolution, the reconstruction performance of D0π+KD^{0}\to\pi^{+}K^{-} in the baseline CEPC detector is investigated in this subsection.

The method for reconstructing the D0π+KD^{0}\to\pi^{+}K^{-} is described below.

  1. 1.

    Match all pairs of reconstructed oppositely charged tracks.

  2. 2.

    To suppress the significant combinatorial backgrounds, the absolute mass difference between two oppositely charged tracks and D0D^{0} is set to less than 1010\,MeV/c2.

  3. 3.

    The impact parameter (IMP), which equivalent to the perpendicular distance between IP and the path of a track, is larger than 0.020.02\,mm for each track.

  4. 4.

    The χ2\chi^{2} of the secondary vertex fit [12] is less than 5.15.

  5. 5.

    The distance of the secondary vertex to IP is greater than 0.3050.305\,mm.

  6. 6.

    The identified PID of a positively charged particle is a π+\pi^{+} and a negative KK^{-}.

The efficiency and purity of the candidate D0D^{0} selection are defined in Eq. 6. To maximize the value of the efficiency times the purity of the signal selection, scans of the selection parameters were performed in the determination of the selection criteria. The details of event selection can be found in Table 4.

ϵ=NumberofcorrectlyreconstructedcandidateD0NumberofD0π+Kdecaysp=NumberofcorrectlyreconstructedcandidateD0NumberofcandidateD0\begin{split}\epsilon&=\frac{Number\ of\ correctly\ reconstructed\ candidate\ D^{0}}{Number\ of\ D^{0}\to\pi^{+}K^{-}decays}\\ p&=\frac{Number\ of\ correctly\ reconstructed\ candidate\ D^{0}}{Number\ of\ candidate\ D^{0}}\end{split} (6)
Table 4: The efficiency and purity of D0π+KD^{0}\to\pi^{+}K^{-} reconstructed using Z-pole sample. The second column (ϵ\epsilon) lists selection efficiency after each selection step, and the third column (p) lists the corresponding purity.
ϵ\epsilon (%) p (%)
|massmassD0|<0.01|mass-mass_{D0}|<0.01\,GeV/c2 90.39±0.2490.39\pm 0.24 2.16±0.072.16\pm 0.07
IMP >0.02>0.02\,mm 79.12±0.2179.12\pm 0.21 5.04±0.115.04\pm 0.11
vertex fitted χ2<5.15\chi^{2}<5.15 72.62±0.2372.62\pm 0.23 15.36±0.1815.36\pm 0.18
dis of vertex to IP >0.305>0.305\,mm 69.24±0.2469.24\pm 0.24 28.41±0.2328.41\pm 0.23
PID 68.19±0.2468.19\pm 0.24 89.05±0.1689.05\pm 0.16

After applying the above selection criteria, the distribution of the invariant mass of the track pair is shown in Fig. 11. The signal distribution is modeled with a Breit-Wigner theory model convolving a Gaussian detector response function, and the background distribution is modeled with a one order Chebyshev polynomial. The mean value of fitted D0D^{0} mass is 1864.259±0.0251864.259\pm 0.025\,MeV/c2.

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Figure 11: Fit of the D0D^{0} invariant mass of the track pair with inclusive hadronic Z-pole background included.

D0π+KD^{0}\to\pi^{+}K^{-} reconstruction performance as a function of dE/dx resolution is shown in Fig. 12, which proves that better dE/dx resolution leads to better D0π+KD^{0}\to\pi^{+}K^{-} reconstruction performance. The red/blue/green line corresponds to 0%/20%/50% degradation of dE/dx resolution. It can be seen that 20% degradation of dE/dx resolution would not significantly degrade the D0π+KD^{0}\to\pi^{+}K^{-} reconstruction performance.

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Figure 12: The distribution of D0π+KD^{0}\to\pi^{+}K^{-} reconstruction performance as a function of the factor defined in σactual=factorσintrinsic\sigma_{actual}=factor\cdot\sigma_{intrinsic}. The red/blue/green line corresponds to the 0%/20%/50% degradation of dE/dx resolution.

4.3 ϕK+K\phi\to K^{+}K^{-} reconstruction at the Z-pole

The ϕ\phi plays a central role in the reconstruction of many high-level objects, especially at Bsϕνν¯B_{s}\to\phi\nu\overline{\nu}, where ϕ\phi is the only visible component. This subsection investigates the performance of ϕK+K\phi\to K^{+}K^{-} reconstruction with the inclusive hadronic Z-pole samples. The reconstruction chain is given below.

  1. 1.

    Match all pairs of reconstructed oppositely charged tracks.

  2. 2.

    Set the absolute difference between the invariant mass of two tracks and the ϕ\phi mass to less than 88\,MeV/c2.

  3. 3.

    Use the kinematic fitting package to reconstruct the vertex of the two matched tracks and set the value of the vertex χ2\chi^{2} to less than 9.95.

  4. 4.

    The identified positively charged particle must be a K+K^{+} and a negative KK^{-}.

Notably, ϕ\phi could come from QCD directly or from a decay of other hadrons. Since there is no requirement to identify these two sources, the selection conditions are not applied in a further step. The event selection process is shown in Table 5, where the definition of efficiency and purity is similar to that in the D0D^{0} reconstruction. The effects of dE/dx resolution on ϕ\phi reconstruction performance are shown in Fig. 13.

Table 5: The efficiency and purity of ϕK+K\phi\to K^{+}K^{-} reconstructed using Z-pole sample. The second column (ϵ\epsilon) lists selection efficiency after each selection step, and the third column (p) lists the corresponding purity.
ϵ\epsilon(%) p (%)
|massmassD0|<8|mass-mass_{D0}|<8\,MeV/c2 89.42±0.0789.42\pm 0.07 6.43±0.066.43\pm 0.06
vertex fitted χ2<9.95\chi^{2}<9.95 83.15±0.0983.15\pm 0.09 9.14±0.079.14\pm 0.07
PID 82.26±0.0982.26\pm 0.09 77.70±0.1077.70\pm 0.10
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Figure 13: The distribution of ϕK+K\phi\to K^{+}K^{-} reconstruction as a function of the factor defined in σactual=factorσintrinsic\sigma_{actual}=factor\cdot\sigma_{intrinsic}. The red/blue/green line corresponds to the 0%/20%/50% degradation of the dE/dx resolution.

5 Conclusion

The Z-pole mode of operation of the CEPC provides a great opportunity for flavor physics, where PID performance is essential. The PID studied in this article is derived from the TOF and dE/dx information collected by ECAL and TPC of the CEPC baseline detector. Using a GEANT4-based MC simulation, the dE/dx resolution can be better than 2.5% in the barrel region with an momentum of the incident charged particle larger than 22\,GeV/c. In a real experiment, the dE/dx resolution would be degraded by the effects of the detector and electronic readout. At CEPC, dE/dx resolution is pursued to be better than 3% in the barrel region, which corresponds to 1/5 degradation of the intrinsic dE/dx resolution.

With inclusive hadronic Z-pole samples, the benchmarks of K±K^{\pm} identification performance as well as D0π+KD^{0}\to\pi^{+}K^{-} and ϕK+K\phi\to K^{+}K^{-} reconstruction performance is used to quantify the PID performance of CEPC. The K±K^{\pm} identification efficiency and purity can reach 95.97% and 81.56%, respectively, only with dE/dx information. After including the TOF information, the K±K^{\pm} identification efficiency and purity can be improved by 2.56% and 20.02%, respectively. With the degradation of the dE/dx resolution by less than 20%, the K±K^{\pm} identification efficiency/purity can be better than 97%/96%. The D0π+KD^{0}\to\pi^{+}K^{-}(ϕK+K\phi\to K^{+}K^{-}) reconstruction performance also relies strongly on the PID performance and can be reconstructed with efficiency/purity of 68.19%/89.05% (82.26%/77.70%). The PID performance in the CEPC’s Z-pole operating mode provides solid support for relevant flavor physics measurements.

The analyses described in this article are used to evaluate PID performance and provide a reference for TPC optimization. The PID performance of the TPC could be further improved through the use of a cluster counting method (dN/dx).

Acknowledgment

We thank Fenfen An, Taifan Zheng, Zhiyang Yuan, Yuexing Wang, and Yuzhi Che for their supports and helps. We thank Gang Li and Chengdong Fu for producing the samples. This project is supported by the International Partnership Program of Chinese Academy of Sciences (Grant No. 113111KYSB20190030), the Innovative Scientific Program of Institute of High Energy Physics.

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