Approximating the nuclear binding energy using analytic continued fractions
Pablo Moscato,
Rafael Grebogi
Abstract:Understanding nuclear behaviour is fundamental in nuclear physics. This paper introduces a data-driven approach, Continued Fraction Regression (), to analyze nuclear binding energy (B(A, Z)). Using a tailored loss function and analytic continued fractions, our method accurately approximates stable and experimentally confirmed unstable nuclides. We identify the best model for nuclides with $$A\ge 200$$
A
≥
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