Dataset provides emergent gravitational framework insights, predicting galactic dynamics without dark matter.
Release Overview This dataset provides a comprehensive visual and quantitative summary of theΛ-Emergent Gravity (Λ-EG) framework. It includes 18 high-resolution figures spanningfoundational quantum derivations in De Sitter spacetime, galactic rotation curve analysisusing the SPARC catalog, and cosmological predictions applied to deep-field JWSTphotometric data.This release develops and quantitatively tests a parameter-free alternative to thestandard ΛCDM dark matter paradigm across galactic and cosmological scales, bridgingtheoretical first principles with predictions testable by current and near-futureinstrumentation. Key highlights • High-redshift BTFR forecast (Figs. 6, 9, 16, 17): Parameter-free prediction V ∝H(z)¹⁄⁴ applied to 2,850 JADES DR4 galaxies (z ≤ 8). Figures show predicted velocitydistributions as targets for kinematic follow-up. Observational validation requires R ≳1000 spectroscopy (ELT/HARMONI, JWST/NIRSpec G235M).• Parameter-free derivation of g_crit (Figs. 1–5, 14, 18): Three independentgeometric routes converge to g_crit = cH₀/(4π²√3) = 9.577 × 10⁻¹² m s⁻² with zero freeparameters.• Kinematic viability and structure formation (Figs. 7, 8, 13): Chameleonscreening, strict acoustic causality (c²_s = 1/2), and a mini-model prediction of P(k)amplification below ~100 Mpc testable with DESI/Euclid.• SPARC catalog analysis (Figs. 10–12): Distribution of effective a_crit across theSPARC sample; spectral discriminant R(R) isolates galaxies in the collective regime.• Cluster lensing prediction (Fig. 15): Predictive scaling Δx ∝ σv for mergingclusters, qualitatively consistent with the Bullet Cluster. Quantitative validation requiresa larger cluster sample.
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J. Pablo Figueroa (2026) studied this question.
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