AME2020 SEMF Analysis Code: Supplementary Material for "First-Principles Derivation of the Bethe-Weizsäcker Semi-Empirical Mass Formula from the Fundamental Speed Theory"
Year: 2026
Type: dataset
Abstract: Supplementary Python code for the paper "First-Principles Derivation of the Bethe-Weizsäcker Semi-Empirical Mass Formula from the Fundamental Speed Theory" by Raheb Aoudh. This code:1. Extracts 2548 nuclei from the AME2020 mass table (mass.mas20)2. Computes Bethe-Weizsäcker binding energies with the adopted coefficients: a_v = 15.245 MeV, a_s = 16.330 MeV, a_c = 0.684 MeV, a_a = 22.086 MeV, delta_0 = 10.610 MeV3. Calculates quality metrics: RMS = 3.66 MeV, MAD = 2.56 MeV, Chi2/dof = 88.3, R² = 0.999944704. Tests the Yukawa integral F(x) and its Newtonian limit F(0) = 3/5 = 0.60005. Compares with historical Bethe-Weizsäcker coefficients6. Generates publication-quality plots Requirements:- Python 3.7+- numpy, pandas, scipy, matplotlib- AME2020 file: mass_1.mas20.txt (from IAEA) Usage:python semf_analysis.py
Author: AOUDH, RAHEB ALI MOHAMMED SALEH
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7207675134