Modifying the RPFs. Considering the observed distance distributions, we opted to modify the C-H and C-C RPFs represented by cubic splines. Our approach consisted in adding linear combinations of harmonic functions (LCHFs) bounded within the target intervals and with amplitudes of our choice to the original RPFs. Similarly, we also tested linear combinations of Gaussian functions (LCGFs) as alternative (see the definition in the SI), similar to previous studies, (see Figure ). However, LCHFs strategy showed more accurate fit. The LCHFs are highly versatile, allowing for precise adjustments even in overlapping intervals. This enabled us to fine-tune the RPs without introducing abrupt changes in their shape. On the other hand, the LCHFs can be readily confined to specific intervals with precise control over their boundaries, ensuring targeted modifications aligned with the C-H and C-C distance distributions. Unlike LCGFs, which tend to be highly localized around their central points, LCHFs exhibit a broader spatial distribution, facilitating smoother adjustments across the desired intervals.