GTE Coordinates as Nuclear Descriptors

GTE (Generative Triple Evolution) coordinates derived from nucleon-triple compositions provide competitive predictive power for nuclear binding energies. In a controlled ablation using exactly 50 features, GTE composition features achieve a 10-fold cross-validated MAE of 3.17~MeV versus 4.24~MeV for an equal-size random polynomial baseline—a ~25\% improvement demonstrating that GTE coordinates carry non-trivial nuclear information beyond arbitrary polynomial combinations of (A,Z). A 6-term analytical law achieves 0.032~MeV/A MAE for binding energy. A 10-term stability classifier using NUBASE2020 labels achieves 94.5\% accuracy in 5-fold cross-validation (majority-class baseline: 75.0\%). Smooth analytical stability laws cannot resolve discrete anomalies such as Tc and Pm; this limitation is disclosed in . Two GTE-theoretic predictions follow from the same arithmetic. First, the nuclear pairing constant Δ_ pair = a_ seed^g/2 = 5^3/2 = 11.18MeV, matching modern SEMF fits within 0.003\% with no free parameters; the underlying GTE b-seed parity is certified in Lean~4 ( .GTE.NuclearPairing, zero sorry). Second, all seven nuclear magic numbers \2,8,20,28,50,82,126\ are derived from the GTE cascade via pion-exchange physics (κ_ emp/κ_ min(N=50) = 1.149 ≈ IPT = 1.1309, 1.6\%, bridge claim). Scope: Stability predictions for Z > 118 are extrapolative ( ).

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-09
DOI
https://doi.org/10.5281/zenodo.20616227
Primary Topic
Nuclear physics research studies
Type
preprint
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preprint

GTE Coordinates as Nuclear Descriptors

Nova Spivack
Zenodo (CERN European Organization for Nuclear Research)
Nuclear physics research studies
preprint

GTE Coordinates as Nuclear Descriptors

Nova Spivack
preprint en

Abstract

GTE (Generative Triple Evolution) coordinates derived from nucleon-triple compositions provide competitive predictive power for nuclear binding energies. In a controlled ablation using exactly 50 features, GTE composition features achieve a 10-fold cross-validated MAE of 3.17~MeV versus 4.24~MeV for an equal-size random polynomial baseline—a ~25\% improvement demonstrating that GTE coordinates carry non-trivial nuclear information beyond arbitrary polynomial combinations of (A,Z). A 6-term analytical law achieves 0.032~MeV/A MAE for binding energy. A 10-term stability classifier using NUBASE2020 labels achieves 94.5\% accuracy in 5-fold cross-validation (majority-class baseline: 75.0\%). Smooth analytical stability laws cannot resolve discrete anomalies such as Tc and Pm; this limitation is disclosed in . Two GTE-theoretic predictions follow from the same arithmetic. First, the nuclear pairing constant Δ_ pair = a_ seed^g/2 = 5^3/2 = 11.18MeV, matching modern SEMF fits within 0.003\% with no free parameters; the underlying GTE b-seed parity is certified in Lean~4 ( .GTE.NuclearPairing, zero sorry). Second, all seven nuclear magic numbers \2,8,20,28,50,82,126\ are derived from the GTE cascade via pion-exchange physics (κ_ emp/κ_ min(N=50) = 1.149 ≈ IPT = 1.1309, 1.6\%, bridge claim). Scope: Stability predictions for Z > 118 are extrapolative ( ).

Zenodo (CERN European Organization for Nuclear Research)
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Nuclear physics research studies
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