Monte Carlo Study of Particle Identification at the CEPC Using TPC dE/dx Information
dc.contributor.ORCID | 0000-0003-0867-2189 (Lou, X) | |
dc.contributor.author | An, F. | |
dc.contributor.author | Prell, S. | |
dc.contributor.author | Chen, C. | |
dc.contributor.author | Cochran, J. | |
dc.contributor.author | Lou, Xinchou | |
dc.contributor.author | Ruan, M. | |
dc.contributor.utdAuthor | Lou, Xinchou | |
dc.date.accessioned | 2019-05-15T20:54:33Z | |
dc.date.available | 2019-05-15T20:54:33Z | |
dc.date.created | 2018-06 | |
dc.description.abstract | The kaon identification is crucial for the flavor physics, and also benefits the flavor and charge reconstruction of the jets. We explore the particle identification capability for tracks with momenta ranging from 2- 20 GeV/c using the dE/dx measurements in the Time Projection Chamber at the future Circular Electron-Positron Collider. Based on Monte Carlo simulation, we anticipate that an average 3.2 σ (2.6 σ) K/π separation can be achieved based on dE/dx information for an optimistic (conservative) extrapolation of the simulated performance to the final system. Time-of-flight (TOF) information from the Electromagnetic Calorimeter can provide K/π separation around 1 GeV/c and reduce the K/p mis-identification rate. By combining the dE/dx and TOF information, we estimate that in the optimistic scenario a kaon selection in inclusive hadronic Z decays with both the average efficiency and purity approaching 95% can be achieved. | |
dc.description.department | School of Natural Sciences and Mathematics | |
dc.description.sponsorship | This work was supported by National Key Program for S&T Research and Development under Contract number 2016YFA0400400; the Hundred Talent programs of Chinese Academy of Science under Contract number Y3515540U1; National Natural Science Foundation of China under Contract number 11675202; IHEP Innovation Grant under Contract number Y4545170Y2; Chinese Academy of Science Focused Science Grant under Contract number QYZDY-SSW-SLH002; Chinese Academy of Science Special Grant for Large Scientific Project under Contract number 113111KYSB20170005. | |
dc.identifier.bibliographicCitation | An, F., S. Prell, C. Chen, J. Cochran, et al. 2018. "Monte Carlo study of particle identification at the CEPC using TPC dE/dx information." European Physical Journal C 78(464), doi:10.1140/epjc/s10052-018-5803-3 | |
dc.identifier.issn | 1434-6044 | |
dc.identifier.issue | 464 | |
dc.identifier.uri | https://hdl.handle.net/10735.1/6482 | |
dc.identifier.volume | 78 | |
dc.language.iso | en | |
dc.publisher | Springer | |
dc.relation.uri | http://dx.doi.org/10.1140/epjc/s10052-018-5803-3 | |
dc.rights | CC BY 4.0 (Attribution) | |
dc.rights | ©2018 The Authors | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source.journal | European Physical Journal C | |
dc.subject | Time projection chambers (Nuclear physics) | |
dc.subject | Kaons | |
dc.subject | Time-of-flight mass spectrometry | |
dc.subject | Monte Carlo method | |
dc.subject | Calorimeters | |
dc.subject | Particles (Nuclear physics)--Flavor | |
dc.title | Monte Carlo Study of Particle Identification at the CEPC Using TPC dE/dx Information | |
dc.type.genre | article |
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