Physics & Spacepreprint2026-08-15

Resolving JWST High-Redshift Anomalies with the UAT/UCP Framework: Causal Redshift Correction and the Restoration of Cosmic Chronology

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Abstract

This Zenodo repository contains the corrected and updated manuscript, Python code, and supplementary material for the study "Resolving JWST High-Redshift Anomalies with the UAT/UCP Framework: Causal Redshift Correction and the Restoration of Cosmic Chronology" by Miguel Angel Percudani. The James Webb Space Telescope has revealed massive galaxies, supermassive black holes, Little Red Dots, and quiescent galaxies at unexpectedly high redshifts. The standard LCDM model cannot provide enough cosmic time for their formation. This work shows that a single correction to the redshift formula, derived from the UAT/UCP causal membrane framework, removes these tensions without modifying the background expansion history. The corrected redshift is: (1 + z_obs) = (1 + z_LCDM) * (1 + z_causal) with z_causal = (kappa / k_early) * R_geom ≈ 1.48 where kappa / k_early = 5.315 is the thermodynamic overdrive ratio and R_geom = 0.279182 is the 8-phase geometric residue. Applying this correction to a galaxy observed at z_obs = 12 gives a true cosmological redshift z_LCDM ≈ 4.23, corresponding to a cosmic age of about 1.3 Gyr instead of 0.34 Gyr. This provides enough time for hierarchical structure formation without invoking exotic mechanisms. The manuscript also explains how the golden ratio phi = 1.618034 emerges from the diagonalisation of the 4x4 even-parity coherence matrix of the 8-phase causal membrane. The repository includes: LaTeX manuscript with the corrected redshift derivation. Python script implementing the causal redshift correction and field equations. Python script verifying UAT/UCP constants and equations. Cosmological constants used in the analysis. All calculations use only NumPy and SciPy. No Boltzmann codes or LCDM parameter inputs are required. This version supersedes the earlier Zenodo deposit under the same title.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-15

Authors: Miguel Percudani