Image reconstruction techniques applied to nuclear mass models

Abstract

A new procedure is presented that combines well-known nuclear models with image reconstruction techniques. A color-coded image is built by taking the differences between measured masses and the predictions given by the different theoretical models. This image is viewed as part of a larger array in the (N,Z) plane, where unknown nuclear masses are hidden, covered by a "mask." We apply a suitably adapted deconvolution algorithm, used in astronomical observations, to "open the window" and see the rest of the pattern. We show that it is possible to improve significantly mass predictions in regions not too far from measured nuclear masses.