Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s=13 TeV
Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s=13 TeV
 
  The CMS muon detector system, muon reconstruction software, and high-level trigger underwent significant changes in 2013–2014 in preparation for running at higher LHC collision energy and instantaneous luminosity. The performance of the modified system is studied using proton-proton collision data at center-of-mass energy √s=13 TeV, collected at the LHC in 2015 and 2016. The measured performance parameters, including spatial resolution, efficiency, and timing, are found to meet all design specifications and are well reproduced by simulation. Despite the more challenging running conditions, the modified muon system is found to perform as well as, and in many aspects better than, previously. We dedicate this paper to the memory of Prof. Alberto Benvenuti, whose work was fundamental for the CMS muon detector.
  
  
  1-55
  
    
      Sirunyan, A.M.
      
        846a7137-803d-49de-aae7-d6b85519e829
      
     
  
    
      Belyaev, Alexander
      
        6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3
      
     
  
  
   
  
    
  
    
  
  
    
    
  
    
    
  
  
    
      Sirunyan, A.M.
      
        846a7137-803d-49de-aae7-d6b85519e829
      
     
  
    
      Belyaev, Alexander
      
        6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    Sirunyan, A.M.
  
, 
  
  
    et al. and The CMS Collaboration
  
  
  
  
   
    (2018)
  
  
    
    Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at √s=13 TeV.
  
  
  
  
    Journal of Instrumentation, 13, , [P06015].
  
   (doi:10.1088/1748-0221/13/06/P06015). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          The CMS muon detector system, muon reconstruction software, and high-level trigger underwent significant changes in 2013–2014 in preparation for running at higher LHC collision energy and instantaneous luminosity. The performance of the modified system is studied using proton-proton collision data at center-of-mass energy √s=13 TeV, collected at the LHC in 2015 and 2016. The measured performance parameters, including spatial resolution, efficiency, and timing, are found to meet all design specifications and are well reproduced by simulation. Despite the more challenging running conditions, the modified muon system is found to perform as well as, and in many aspects better than, previously. We dedicate this paper to the memory of Prof. Alberto Benvenuti, whose work was fundamental for the CMS muon detector.
         
      
      
        
          
            
  
    Text
 Sirunyan 2018 J. Inst. 13 P06015
     - Version of Record
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Accepted/In Press date: 7 June 2018
 
    
      e-pub ahead of print date: 19 June 2018
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
  
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 431379
        URI: http://eprints.soton.ac.uk/id/eprint/431379
        
          
        
        
        
          ISSN: 1748-0221
        
        
          PURE UUID: 6ad2c39f-ff28-471a-9c8c-dce82099ca99
        
  
    
        
          
        
    
        
          
            
              
            
          
        
    
  
  Catalogue record
  Date deposited: 31 May 2019 16:30
  Last modified: 05 Oct 2024 01:43
  Export record
  
  
   Altmetrics
   
   
  
 
 
  
    
    
      Contributors
      
          
          Author:
          
            
            
              A.M. Sirunyan
            
          
        
      
        
      
      
          
          Corporate Author: et al.
        
      
          
          Corporate Author: The CMS Collaboration
        
      
      
    
  
   
  
    Download statistics
    
      Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
      
      View more statistics