In the absence of strong evidence in the impedance data for highly specific relaxation processes, the entropy penalty guides the solution towards a more entropic DRT that is more uniformly distributed across the timescales. As explained in the introduction (Section 1), this approach effectively mitigates the propensity for noise in ill-posed inverse problems to be amplified into spurious, localized features in the recovered DRT spectrum.