def norm_sel(self, k, n):
    m = ((self.vm_kappa_fit[0] + (n * self.vm_kappa_fit[1])) ** 2)
    return (np.log((1 + k)) / np.log((1 + m)))
def norm_sel(self, k, n):
    m = ((self.vm_kappa_fit[0] + (n * self.vm_kappa_fit[1])) ** 2)
    return (np.log((1 + k)) / np.log((1 + m)))