n_num))


        lower_ = np.array([x[0] for x in results])
        veritas_ = np.array([x[1] for x in results])
        
        self.veritas_model[&#39;calibration_lower&#39;]=lower_
        self.veritas_model[&#39;calibration_veritas&#39;]=veritas_

        # Fitting distributions to lower and veritas thresholds
        dfit = distfit(distr=&#39;lognorm&#39;,verbose=None)
        dfit.fit_transform(lower_)
        df, loc, scale = dfit.model[&#39;params&#39;]
        dist = lognorm(df, loc=loc, scale=sc