Renormalisation group corrections to the littlest seesaw model and maximal atmospheric mixing
Renormalisation group corrections to the littlest seesaw model and maximal atmospheric mixing
 
  The Littlest Seesaw (LS) model involves two right-handed neutrinos and a very constrained Dirac neutrino mass matrix, involving one texture zero and two independent Dirac masses, leading to a highly predictive scheme in which all neutrino masses and the entire PMNS matrix is successfully predicted° in terms of just two real parameters. We calculate the renormalisation group (RG) corrections to the LS predictions, with and without supersymmetry, including also the threshold effects induced by the decoupling of heavy Majorana neutrinos both analytically and numerically. We find that the predictions for neutrino mixing angles and mass ratios are rather stable under RG corrections. For example we find that the LS model with RG corrections predicts close to maximal atmospheric mixing, Θ23=45º±1º, in most considered cases, in tension with the latest NOvA results. The techniques used here apply to other seesaw models with a strong normal mass hierarchy.
  hep-ph
  
  
  
    
      King, Stephen F.
      
        f8c616b7-0336-4046-a943-700af83a1538
      
     
  
    
      Zhang, Jue
      
        3c64d52a-6a69-4960-84df-d04ed2ef2acd
      
     
  
    
      Zhou, Shun
      
        45ae1e0c-f2c4-47c8-9ba1-72a0d4161142
      
     
  
  
   
  
  
    
    
  
    
    
  
    
      6 December 2016
    
    
  
  
    
      King, Stephen F.
      
        f8c616b7-0336-4046-a943-700af83a1538
      
     
  
    
      Zhang, Jue
      
        3c64d52a-6a69-4960-84df-d04ed2ef2acd
      
     
  
    
      Zhou, Shun
      
        45ae1e0c-f2c4-47c8-9ba1-72a0d4161142
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    King, Stephen F., Zhang, Jue and Zhou, Shun
  
  
  
  
   
    (2016)
  
  
    
    Renormalisation group corrections to the littlest seesaw model and maximal atmospheric mixing.
  
  
  
  
    Journal of High Energy Physics, 2016 (23).
  
   (doi:10.1007/JHEP12(2016)023). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          The Littlest Seesaw (LS) model involves two right-handed neutrinos and a very constrained Dirac neutrino mass matrix, involving one texture zero and two independent Dirac masses, leading to a highly predictive scheme in which all neutrino masses and the entire PMNS matrix is successfully predicted° in terms of just two real parameters. We calculate the renormalisation group (RG) corrections to the LS predictions, with and without supersymmetry, including also the threshold effects induced by the decoupling of heavy Majorana neutrinos both analytically and numerically. We find that the predictions for neutrino mixing angles and mass ratios are rather stable under RG corrections. For example we find that the LS model with RG corrections predicts close to maximal atmospheric mixing, Θ23=45º±1º, in most considered cases, in tension with the latest NOvA results. The techniques used here apply to other seesaw models with a strong normal mass hierarchy.
         
      
      
        
          
            
  
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    Text
 art_10.1007_JHEP12(2016)023
     - Version of Record
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Accepted/In Press date: 28 November 2016
 
    
      e-pub ahead of print date: 6 December 2016
 
    
      Published date: 6 December 2016
 
    
  
  
    
  
    
     
        Additional Information:
        28 pages, 4 figures, 5 tables; v2: references added, include the scenario where both mass scales of right-handed neutrinos are varied, version to be published in JHEP
      
    
  
    
  
    
  
    
  
    
     
        Keywords:
        hep-ph
      
    
  
    
  
    
  
  
  
    
  
  
        Identifiers
        Local EPrints ID: 412406
        URI: http://eprints.soton.ac.uk/id/eprint/412406
        
          
        
        
        
          ISSN: 1029-8479
        
        
          PURE UUID: 5c4872a5-d6f0-4b1d-9216-68defee80d15
        
  
    
        
          
            
          
        
    
        
          
        
    
        
          
        
    
  
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  Date deposited: 17 Jul 2017 13:38
  Last modified: 15 Mar 2024 13:58
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      Contributors
      
        
      
          
          Author:
          
            
            
              Jue Zhang
            
          
        
      
          
          Author:
          
            
            
              Shun Zhou
            
          
        
      
      
      
    
  
   
  
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