code: def hessian(self, x, y, amp, sigma, center_x=0, center_y=0):
          
          x_ = x - center_x
          y_ = y - center_y
          r = np.sqrt(x_**2 + y_**2)
          sigma_x, sigma_y = sigma, sigma
          if isinstance(r, int) or isinstance(r, float):
              r = max(r, self.ds)
          else:
              r[r <= self.ds] = self.ds
          d_alpha_dr = -self.d_alpha_dr(r, amp, sigma_x, sigma_y)
          alpha = self.alpha_abs(r, amp, sigma)
  
          f_xx = -(d_alpha_dr/r + alpha/r**2) * x_**2/r + alpha/r
          f_yy = -(d_alpha_dr/r + alpha/r**2) * y_**2/r + alpha/r
          f_xy = -(d_alpha_dr/r + alpha/r**2) * x_*y_/r
          return f_xx, f_yy, f_xy
docs: returns Hessian matrix of function d^2f/dx^2, d^f/dy^2, d^2/dxdy