Deconvolution is a computational methodology applied in the analysis of scientific data to recover an intrinsic signal or distribution by mathematically reversing the convolution process, which models the alteration imposed by a measurement system or physical interaction. It serves to resolve underlying features obscured by instrumental response or inherent smearing effects, widely employed in spectroscopy, imaging, and signal processing across various scientific disciplines, including nuclear physics.