Fitting high-energy Littlest Seesaw parameters using low-energy neutrino data and leptogenesis
Fitting high-energy Littlest Seesaw parameters using low-energy neutrino data and leptogenesis
 
  We show that the four high-energy Littlest Seesaw parameters in the flavour basis, namely two real Yukawa couplings plus the two right-handed neutrino masses, can be determined by an excellent fit to the seven currently constrained observables of low-energy neutrino data and leptogenesis. Taking into account renormalisation group corrections, we estimate χ2 ≃ 1.5-2.6 for the three d.o.f., depending on the high-energy scale and the type of non-supersymmetric Littlest Seesaw model. We extract allowed ranges of neutrino parameters from our fit data, including the approximate mu-tau symmetric predictions θ23 = 45° ± 1° and δ = −90° ± 5°, which, together with a normal mass ordering with m1 = 0, will enable Littlest Seesaw models to be tested in future neutrino experiments.
Neutrino Physics, Solar and Atmospheric Neutrinos
  
  
  
    
      King, Stephen F.
      
        f8c616b7-0336-4046-a943-700af83a1538
      
     
  
    
      Sedgwick, Susana Molina
      
        6024769e-3664-4279-9149-44a190e10545
      
     
  
    
      Rowley, Samuel J.
      
        ab8cb79d-627e-4e1c-834a-8a16f12fc65a
      
     
  
  
   
  
  
    
    
  
    
    
  
    
      October 2018
    
    
  
  
    
      King, Stephen F.
      
        f8c616b7-0336-4046-a943-700af83a1538
      
     
  
    
      Sedgwick, Susana Molina
      
        6024769e-3664-4279-9149-44a190e10545
      
     
  
    
      Rowley, Samuel J.
      
        ab8cb79d-627e-4e1c-834a-8a16f12fc65a
      
     
  
       
    
 
  
    
      
  
  
  
  
  
  
    King, Stephen F., Sedgwick, Susana Molina and Rowley, Samuel J.
  
  
  
  
   
    (2018)
  
  
    
    Fitting high-energy Littlest Seesaw parameters using low-energy neutrino data and leptogenesis.
  
  
  
  
    Journal of High Energy Physics, 2018 (10), [184].
  
   (doi:10.1007/JHEP10(2018)184). 
  
  
   
  
  
  
  
  
   
  
    
    
      
        
          Abstract
          We show that the four high-energy Littlest Seesaw parameters in the flavour basis, namely two real Yukawa couplings plus the two right-handed neutrino masses, can be determined by an excellent fit to the seven currently constrained observables of low-energy neutrino data and leptogenesis. Taking into account renormalisation group corrections, we estimate χ2 ≃ 1.5-2.6 for the three d.o.f., depending on the high-energy scale and the type of non-supersymmetric Littlest Seesaw model. We extract allowed ranges of neutrino parameters from our fit data, including the approximate mu-tau symmetric predictions θ23 = 45° ± 1° and δ = −90° ± 5°, which, together with a normal mass ordering with m1 = 0, will enable Littlest Seesaw models to be tested in future neutrino experiments.
         
      
      
        
          
            
  
    Text
 King2018_Article_FittingHigh-energyLittlestSees
     - Version of Record
   
  
  
    
  
 
          
            
          
            
           
            
           
        
        
       
    
   
  
  
  More information
  
    
      Accepted/In Press date: 11 October 2018
 
    
      e-pub ahead of print date: 29 October 2018
 
    
      Published date: October 2018
 
    
  
  
    
  
    
  
    
  
    
  
    
  
    
     
        Keywords:
        Neutrino Physics, Solar and Atmospheric Neutrinos
      
    
  
    
  
    
  
  
        Identifiers
        Local EPrints ID: 426495
        URI: http://eprints.soton.ac.uk/id/eprint/426495
        
          
        
        
        
          ISSN: 1126-6708
        
        
          PURE UUID: d535a5f9-9f7f-499e-8939-d9b4f76a35a1
        
  
    
        
          
            
          
        
    
        
          
            
          
        
    
        
          
            
          
        
    
  
  Catalogue record
  Date deposited: 29 Nov 2018 17:30
  Last modified: 15 Mar 2024 23:08
  Export record
  
  
   Altmetrics
   
   
  
 
 
  
    
    
      Contributors
      
        
      
          
          Author:
          
            
              
              
                Susana Molina Sedgwick
              
              
            
            
          
        
      
          
          Author:
          
            
              
              
                Samuel J. Rowley
              
              
            
            
          
        
      
      
      
    
  
   
  
    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