Next, we shifted our focus to the distant 2×ZARC model (parameter values in Table ). The recovered DRTs are depicted in the right panel of Figure in this study (Table ). Like for the single ZARC model, the DRT error obtained with the entropy method was significantly reduced compared to the other regularization methods. Furthermore, we employed the NUTS sampler (Section 2. Moreover, the entropy method demonstrated accurate recovery of the discontinuous DRTs associated with the Gerischer and fractal models. This was supported by the normalized DRT and impedance residuals detailed in Table . In addition, Figure (a) and (b) illustrate the Gerischer DRTs sampled from the DRTs recovered using RR and the entropy method, respectively. Analogous to the distant 2×ZARC model, the median entropy-based DRT for the Gerischer model was closer to the exact DRT and free from artifacts. It is important to emphasize that the superior performance of the entropy method remained consistent even at a higher experimental noise level,