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Title: Muon identification with Muon Telescope Detector at the STAR experiment

Abstract

The Muon Telescope Detector (MTD) is a newly installed detector in the STAR experiment. It provides an excellent opportunity to study heavy quarkonium physics using the dimuon channel in heavy ion collisions. In this paper, we report the muon identification performance for the MTD using proton-proton collisions at $$\sqrt{s}$$ = 500 GeV with various methods. Here, the result using the Likelihood Ratio method shows that the muon identification efficiency can reach up to ~ 90% for muons with transverse momenta greater than 3 GeV/c and the significance of the J/ψ signal is improved by a factor of 2 compared to using the basic selection.

Authors:
 [1];  [2];  [3];  [4];  [2];  [2];  [2];  [5];  [5];  [5];  [1];  [5]
  1. National Cheng Kung Univ., Tainan City (Taiwan)
  2. Brookhaven National Lab. (BNL), Upton, NY (United States)
  3. Univ. of Illinois, Chicago, IL (United States)
  4. Tsinghua Univ., Beijing (China)
  5. Univ. of Science and Technology of China, Hefei (China)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States). Relativistic Heavy Ion Collider (RHIC)
Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP) (SC-26)
OSTI Identifier:
1340410
Alternate Identifier(s):
OSTI ID: 1397721
Report Number(s):
BNL-113221-2016-JA
Journal ID: ISSN 0168-9002; TRN: US1701782
Grant/Contract Number:  
SC0012704
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
Additional Journal Information:
Journal Volume: 833; Journal Issue: C; Journal ID: ISSN 0168-9002
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Relativistic Heavy Ion Collider; STAR; MTD; muon identification; muon; dimuon; quarkonium

Citation Formats

Huang, T. C., Ma, R., Huang, B., Huang, X., Ruan, L., Todoroki, T., Xu, Z., Yang, C., Yang, S., Yang, Q., Yang, Y., and Zha, W.. Muon identification with Muon Telescope Detector at the STAR experiment. United States: N. p., 2016. Web. doi:10.1016/j.nima.2016.07.024.
Huang, T. C., Ma, R., Huang, B., Huang, X., Ruan, L., Todoroki, T., Xu, Z., Yang, C., Yang, S., Yang, Q., Yang, Y., & Zha, W.. Muon identification with Muon Telescope Detector at the STAR experiment. United States. doi:10.1016/j.nima.2016.07.024.
Huang, T. C., Ma, R., Huang, B., Huang, X., Ruan, L., Todoroki, T., Xu, Z., Yang, C., Yang, S., Yang, Q., Yang, Y., and Zha, W.. Fri . "Muon identification with Muon Telescope Detector at the STAR experiment". United States. doi:10.1016/j.nima.2016.07.024. https://www.osti.gov/servlets/purl/1340410.
@article{osti_1340410,
title = {Muon identification with Muon Telescope Detector at the STAR experiment},
author = {Huang, T. C. and Ma, R. and Huang, B. and Huang, X. and Ruan, L. and Todoroki, T. and Xu, Z. and Yang, C. and Yang, S. and Yang, Q. and Yang, Y. and Zha, W.},
abstractNote = {The Muon Telescope Detector (MTD) is a newly installed detector in the STAR experiment. It provides an excellent opportunity to study heavy quarkonium physics using the dimuon channel in heavy ion collisions. In this paper, we report the muon identification performance for the MTD using proton-proton collisions at $\sqrt{s}$ = 500 GeV with various methods. Here, the result using the Likelihood Ratio method shows that the muon identification efficiency can reach up to ~ 90% for muons with transverse momenta greater than 3 GeV/c and the significance of the J/ψ signal is improved by a factor of 2 compared to using the basic selection.},
doi = {10.1016/j.nima.2016.07.024},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = C,
volume = 833,
place = {United States},
year = {Fri Jul 15 00:00:00 EDT 2016},
month = {Fri Jul 15 00:00:00 EDT 2016}
}

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