The solution to problem (2) strongly depends on 𝜆 , where small and large values of 𝜆 result in over-fitting and over-regularization, respectively . It is, therefore, imperative to select an appropriate parameter 𝜆 when performing RR. In the fields of statistics and inverse problems, several methods have been developed for this purpose, including generalized cross-validation (GCV) , modified generalized cross-validation (mGCV) , robust generalized crossvalidation (rGCV) , real-imaginary cross-validation (re-im CV) , k-fold generalized cross-validation (kf-CV) , and the L-curve (LC) method . Among these methods, only LC and re-im CV have been used for DRT deconvolution.