Speaker
            
    Manuel Naviglio
        
            (Istituto Nazionale di Fisica Nucleare)
        
    Description
In this talk we present our study of the electromagnetic conductivity in dense quark-gluon plasma obtained within lattice simulations with $N_f$ = 2 + 1 dynamical quarks. We employ stout improved rooted staggered quarks at the physical point and the tree-level Symanzik improved gauge action. The simulations are performed at imaginary chemical potential. To reconstruct electromagnetic conductivity from current-current correlators, we employ the Tikhonov regularisation method as well as the modified Backus-Gilbert method, computing the convolution of the spectral density with the target function. Our study indicates that electromagnetic conductivity of quark-gluon plasma rapidly grows with the real baryon density.
Authors
        
            
                
                
                    Francesco Sanfilippo
                
                
                        (INFN - Sezione Roma III)
                    
            
        
            
                
                
                    Lorenzo Maio
                
                
                        (Istituto Nazionale di Fisica Nucleare)
                    
            
        
            
                
                
                    Manuel Naviglio
                
                
                        (Istituto Nazionale di Fisica Nucleare)
                    
            
        
            
                
                
                    Massimo D'Elia
                
                
                        (Istituto Nazionale di Fisica Nucleare)
                    
            
        
            
                
                
                    Nikita Astrakhantsev
                
                
            
        
            
                
                
                    Victor Braguta
                
                
                        (ITEP)
                    
            
        
    
        