This catalog-based approach predicts dynamics in hierarchical triple stars, suggesting significant improvements in accuracy.
We present a tidal constituent catalog method for predicting the dynamics of hierarchical triple star systems. All significant frequencies are specified analytically from the known orbital periods — f(n,m) = n/P_inner + m/P_outer — and only amplitudes and phases are fitted via linear least squares. On simulated Galilean moon separations, the catalog reduces prediction error from 18.0% (blind FFT, 25 constituents) to 1.3% (catalog order 4, 21 constituents), a 14× improvement. On real TESS photometry of six triply eclipsing triples with independent test epochs separated by 130–710 days from training data, all systems achieve < 2% NRMSE; TIC 14839347 shows 5× catalog superiority at 683-day extrapolation. The method is grounded in the shape sphere — the S² manifold on which the triangle formed by three bodies evolves (u² + v² + w² = 1 exactly). Fourier decomposition of the shape trajectory confirms that every oscillation matches a catalog frequency; no hidden modes exist. The dominant perturbation amplitude scales as A ∝ η^0.93 (R² = 0.985) with virtual independence from mass ratios, enabling prediction tables without simulation. The equilibrium frequency ratio for three coupled oscillators satisfies the tribonacci equation r³ = r² + r + 1, yielding τ ≈ 1.839. This ratio provides optimal KAM protection: systems at τ maintain their frequency ratio under all non-migratory perturbations tested, with shape band width 25× narrower than equivalent 2:1 resonant systems. The framework generalises to N bodies through hierarchical decomposition into nested shape spheres, with the n-nacci equilibrium constant converging from τ = 1.839 (n=3) toward 2.000 (n→∞).
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C. R. (René) de Haan (2026) studied this question.
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