- Conference date: 4-9 September 2005
- Location: Notre Dame, Indiana (USA)
The challenging task of predicting nuclear masses is analyzed as a pattern recognition problem on the N‐Z plane. A well defined pattern is built by taking the differences between measured masses and Liquid Drop Model (LDM) predictions. After removing the smooth LDM mass contributions, what remains are the microscopic components, which have proved to be extremely hard to model and predict. These contain the information related with shell closures, nuclear deformations, and the residual nuclear interactions. In the present work the more than 2000 known nuclear masses are studied as an array in the N‐Z plane viewed through a mask, behind which are hidden the unknown 7000 unstable nuclei that can exist between the proton and neutron drip lines. Employing a Fourier transform deconvolution method these masses are predicted. Measured masses are reconstructed with and r.m.s. error of less than 200 keV . The existence of an island of stability around (Z≈ 116, N≈ 194) is strongly suggested. Different potential applications of the present approach are outlined.
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