Speaker
            
    Adrian Irles Quiles
        
            (Universidad de Valencia (ES))
        
    Description
This work presents a new method to measure the top-quark mass 
in hadronic collisions. The method uses the
sensitivity of the ttbar+1Jet production on the top-quark mass. In detail we study the R distribution defined as the 
ttbar+1Jet normalized differential cross section in the invariant mass
of the total system and calculated at NLO accuracy. We prove that the \R distribution
has a high sensitivity to the top-quark mass. Furthermore we also
investigate and quantify the impact of the dominant theoretical and 
experimental uncertainties. The results obtained show, that the method will be competitive 
in precision with established approaches and allows a complementary measurement of the top-quark
mass at hadron colliders. We emphasize that in the proposed method the 
mass parameter is uniquely defined through one-loop renormalization.
            Authors
        
            
                
                
                    
                        Adrian Irles Quiles
                    
                
                
                        (Universidad de Valencia (ES))
                    
            
        
            
                
                
                    
                        Juan Fuster Verdu
                    
                
                
                        (Universidad de Valencia (ES))
                    
            
        
            
                
                        Dr
                    
                
                    
                        Marcel Vos
                    
                
                
                        (Universidad de Valencia (ES))
                    
            
        
            
                
                
                    
                        Patricia Fernandez Martinez
                    
                
                
                        (Universidad de Valencia (ES))
                    
            
        
            
                
                
                    
                        Peter Uwer
                    
                
                
                        (Humboldt-Universität zu Berlin)
                    
            
        
            
                
                
                    
                        S. Moch
                    
                
                
                        (UHH)
                    
            
        
            
                
                
                    
                        Simone Alioli
                    
                
                
                        (LBNL & UC Berkeley)
                    
            
        
    
        