def function(self, x, y, amp, R_sersic, n_sersic, e1, e2, center_x=0, center_y=0):
        """
        returns Sersic profile
        """
        #if n_sersic < 0.2:
        #    n_sersic = 0.2
        #if R_sersic < 10.**(-6):
        #    R_sersic = 10.**(-6)
        R_sersic = np.maximum(0, R_sersic)
        phi_G, q = param_util.ellipticity2phi_q(e1, e2)
        x_shift = x - center_x
        y_shift = y - center_y

        cos_phi = np.cos(phi_G)
        sin_phi = np.sin(phi_G)

        xt1 = cos_phi*x_shift+sin_phi*y_shift
        xt2 = -sin_phi*x_shift+cos_phi*y_shift
        xt2difq2 = xt2/(q*q)
        R_ = np.sqrt(xt1*xt1+xt2*xt2difq2)
        if isinstance(R_, int) or isinstance(R_, float):
            R_ = max(self._smoothing, R_)
        else:
            R_[R_ < self._smoothing] = self._smoothing
        k, bn = self.k_bn(n_sersic, R_sersic)
        R_frac = R_/R_sersic
        R_frac = R_frac.astype(np.float32)
        if isinstance(R_, int) or isinstance(R_, float):
            if R_frac > 100:
                result = 0
            else:
                exponent = -bn*(R_frac**(1./n_sersic)-1.)
                result = amp * np.exp(exponent)
        else:
            R_frac_real = R_frac[R_frac <= 100]
            exponent = -bn*(R_frac_real**(1./n_sersic)-1.)
            result = np.zeros_like(R_)
            result[R_frac <= 100] = amp * np.exp(exponent)
        return np.nan_to_num(result)
returns Sersic profile