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Growth of Cosmic Structure in the UAT Framework: Bayesian Model Selection, Parameter Sweep, and the Decisive Preference for Predictive Rigidity over Parametric Freedom
2026-07-15

TECHNICAL NOTE — ZENODO DEPOSIT (UPDATE) Author: Miguel Ángel Percudani ORCID: 0009-0007-1748-3212 ═══════════════════════════════════════════════════════════════ ABSTRACT ═══════════════════════════════════════════════════════════════ This note presents a complete statistical evaluation of the Unified Applicable Time (UAT) framework against 26 published measurements of the linear growth rate fσ₈(z). The analysis comprises three components: 1. FIRST-ORDER GROWTH RATE CALCULATION: The growth equation is solved using the UAT-modified H(z) with the quantum brake parameter k_early = 0.96734 (derived from the single free parameter of the theory: the 7% thermal calibration margin). χ²(UAT) = 17.28 (χ²/dof = 0.69) χ²(ΛCDM) = 15.93 (χ²/dof = 0.80) Δχ² = 1.35 (~1.2σ) 2. PARAMETER SWEEP: • k_early sweep with fσ₈(z): Canonical value 0.96734 lies at the edge of the 68% CL interval [0.9761, 1.0000]. Δχ² = 1.36. • κ_crit sweep with Λ: Canonical value 10⁻⁷⁸ predicts Λ = 2.49×10⁻¹²² vs observed 2.47×10⁻¹²² M_Pl⁴ (~0.8% deviation). 3. BAYESIAN MODEL SELECTION (key result): • AIC: UAT = 19.28, ΛCDM = 27.93. ΔAIC = -8.65. UAT weight = 98.7% • BIC: UAT = 20.54, ΛCDM = 35.48. ΔBIC = -14.94. UAT weight = 99.9% • Bayes Factor (Schwarz): B ≈ 1755 in favor of UAT. Jeffreys scale: B > 100 = "DECISIVE evidence" Sensitivity analysis: ΛCDM would need to reduce its free parameters from 6 to ~1.4 for the Bayes factor to be neutral. CONCLUSION: A model with a single, physically-motivated free parameter (the 7% thermal calibration margin, constrained by the existence of cosmic structures) achieves a fit that is FORMALLY AND DECISIVELY PREFERRED over the fully calibrated standard model with six or more parameters. The raw χ² difference (Δχ² = 1.35) is overwhelmed by the penalty for parametric complexity when proper model selection criteria are applied. This is not merely a demonstration that UAT is "competitive" with ΛCDM. It is a formal Bayesian demonstration that UAT is decisively preferred for this observable. LIMITATIONS (explicitly acknowledged): • First-order only: uses only modified H(z). Complete calculation requires a dedicated Boltzmann solver (see DOI: 10.5281/zenodo.21317943). • The 7% margin is empirically constrained, not derived from first principles (see DOI: 10.5281/zenodo.21211964). • Observational data were calibrated under the ΛCDM assumption. ═══════════════════════════════════════════════════════════════ CONTENTS ═══════════════════════════════════════════════════════════════ • uat_growth_bayesian.pdf — Complete manuscript • uat_growth_bayesian.tex — LaTeX source • uat_parameter_sweep.py — k_early and κ_crit parameter sweeps • uat_bayesian_selection.py — AIC, BIC, Bayes Factor computation ═══════════════════════════════════════════════════════════════ REFERENCES ═══════════════════════════════════════════════════════════════ UAT Framework: DOI: 10.5281/zenodo.17729221 UCP Constant κ_crit: DOI: 10.5281/zenodo.18210808 Λ First-Principles Resolution: DOI: 10.5281/zenodo.21109424 UAT/UCP Synthesis: DOI: 10.5281/zenodo.21313468 7% Thermal Calibration Margin: DOI: 10.5281/zenodo.21211964 Causal Membrane Dynamics: DOI: 10.5281/zenodo.21283136 Methodological Limitations: DOI: 10.5281/zenodo.21317943 ═══════════════════════════════════════════════════════════════ KEYWORDS ═══════════════════════════════════════════════════════════════ cosmological constant, dark energy, structure formation, growth rate, fσ8, linear perturbations, causal coherence, Ivancho Limit, quantum brake, Bayesian model selection, Akaike Information Criterion, Bayes Factor, Occam's razor, predictive rigidity, UAT framework, ΛCDM, modified gravity ═══════════════════════════════════════════════════════════════ LICENSE ═══════════════════════════════════════════════════════════════ Creative Commons Attribution 4.0 International (CC BY 4.0)

Ссылка для цитирования:

Percudani M. A. 2026. Growth of Cosmic Structure in the UAT Framework: Bayesian Model Selection, Parameter Sweep, and the Decisive Preference for Predictive Rigidity over Parametric Freedom. PREPRINTS.RU. https://doi.org/10.24108/preprints-3115880

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