The eigenvalue spectrum of a large real antisymmetric random matrix with non-zero mean

We study the eigenvalue spectrum of a large real antisymmetric random matrix $J_{ij}$. Using a fermionic approach and replica trick, we obtain a semicircular spectrum of eigenvalues when the mean value of each matrix element is zero, and in the case of a non-zero mean, we show that there is a set of critical finite mean values above which eigenvalues arise that are split off from the semicircular continuum of eigenvalues. The result converged with numerical simulations.