The deconvolution is successful if the resulting residuals show no systematic patterns beyond statistical noise. If the residuals show systematic elements, they contain information about the data that has been hidden from the DRT. A DRT, on the other hand, will not always be able to separate all features present in the data. This is influenced by feature distance and shape as well as by the noise amplitude . The main goal is to extract all features that are justified by the data, with uncertainty due to experimental noise represented by the width of a feature in the DRT. In other words, the aim is to find a DRT with modes as broad as possible that still causes no residuals with systematic, non-random contributions.