Event generator tunes obtained from underlying event and multiparton scattering measurements
Event generator tunes obtained from underlying event and multiparton scattering measurements
 
  New sets of parameters (“tunes”) for the underlying-event (UE) modelling of the pythia8, pythia6 and herwig++ Monte Carlo event generators are constructed using different parton distribution functions. Combined fits to CMS UE proton–proton (pp) data at s√=7TeV and to UE proton–antiproton (pp¯¯¯) data from the CDF experiment at lower s√, are used to study the UE models and constrain their parameters, providing thereby improved predictions for proton–proton collisions at 13TeV. In addition, it is investigated whether the values of the parameters obtained from fits to UE observables are consistent with the values determined from fitting observables sensitive to double-parton scattering processes. Finally, comparisons are presented of the UE tunes to “minimum bias” (MB) events, multijet, and Drell–Yan (qq¯¯¯→Z/γ∗→ lepton-antilepton+jets) observables at 7 and 8TeV, as well as predictions for MB and UE observables at 13TeV.
  
  
  
    
      Khachatryan, Vardan
      
        375bcfe5-df1a-41ad-9a90-553e557ef6d6
      
     
  
    
      Belyaev, Alexander
      
        6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3
      
     
  
  
   
  
    
  
  
    
    
  
    
    
  
    
      March 2016
    
    
  
  
    
      Khachatryan, Vardan
      
        375bcfe5-df1a-41ad-9a90-553e557ef6d6
      
     
  
    
      Belyaev, Alexander
      
        6bdb9638-5ff9-4b65-a8f2-34bae3ac34b3
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    The CMS Collaboration
  
  
  
  
   
    (2016)
  
  
    
    Event generator tunes obtained from underlying event and multiparton scattering measurements.
  
  
  
  
    The European Physical Journal C, 76 (3), [155].
  
   (doi:10.1140/epjc/s10052-016-3988-x). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          New sets of parameters (“tunes”) for the underlying-event (UE) modelling of the pythia8, pythia6 and herwig++ Monte Carlo event generators are constructed using different parton distribution functions. Combined fits to CMS UE proton–proton (pp) data at s√=7TeV and to UE proton–antiproton (pp¯¯¯) data from the CDF experiment at lower s√, are used to study the UE models and constrain their parameters, providing thereby improved predictions for proton–proton collisions at 13TeV. In addition, it is investigated whether the values of the parameters obtained from fits to UE observables are consistent with the values determined from fitting observables sensitive to double-parton scattering processes. Finally, comparisons are presented of the UE tunes to “minimum bias” (MB) events, multijet, and Drell–Yan (qq¯¯¯→Z/γ∗→ lepton-antilepton+jets) observables at 7 and 8TeV, as well as predictions for MB and UE observables at 13TeV.
         
      
      
        
          
            
  
    Text
 art_10.1140_epjc_s10052-016-3988-x
     - Version of Record
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Accepted/In Press date: 29 February 2016
 
    
      e-pub ahead of print date: 17 March 2016
 
    
      Published date: March 2016
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
  
    
     
        Organisations:
        Physics & Astronomy
      
    
  
    
  
  
        Identifiers
        Local EPrints ID: 408739
        URI: http://eprints.soton.ac.uk/id/eprint/408739
        
          
        
        
        
          ISSN: 1434-6044
        
        
          PURE UUID: 562a1cd6-d639-47bb-8a35-2e5df866f3ec
        
  
    
        
          
        
    
        
          
            
              
            
          
        
    
  
  Catalogue record
  Date deposited: 27 May 2017 04:03
  Last modified: 16 Mar 2024 03:54
  Export record
  
  
   Altmetrics
   
   
  
 
 
  
    
    
      Contributors
      
          
          Author:
          
            
            
              Vardan Khachatryan
            
          
        
      
        
      
      
          
          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