Coherence-Based Prediction of Galaxy Phase Alignment and Spin Bias through Coherence Based Large Scale Eigenmodes

This work presents a first-principles theoretical and mathematical framework that derives galaxy phase alignment and spin bias as emergent phenomena from recursive symmetry breaking within a coherence field model. It introduces coherence eigenmodes that seed macroscopic phase correlations and directional spin asymmetries. Explicit predictions—such as the clockwise vs. counterclockwise galaxy spin excess, spin alignment correlation functions, redshift-dependent coherence decay, and large-scale filament formation—are derived and shown to be in agreement with data from JWST, COSMOS, Horizon-AGN, and CMB anomalies. Supplementary derivations provide detailed analytic support for each prediction, grounded in the spinor field dynamics of the model. Contact [email protected] to colloborate and see the full model

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-13
DOI
https://doi.org/10.5281/zenodo.15204915
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Coherence-Based Prediction of Galaxy Phase Alignment and Spin Bias through Coherence Based Large Scale Eigenmodes

Zenodo (CERN European Organization for Nuclear Research)
Molecular Biology Techniques and Applications
article

Coherence-Based Prediction of Galaxy Phase Alignment and Spin Bias through Coherence Based Large Scale Eigenmodes

article en

Abstract

This work presents a first-principles theoretical and mathematical framework that derives galaxy phase alignment and spin bias as emergent phenomena from recursive symmetry breaking within a coherence field model. It introduces coherence eigenmodes that seed macroscopic phase correlations and directional spin asymmetries. Explicit predictions—such as the clockwise vs. counterclockwise galaxy spin excess, spin alignment correlation functions, redshift-dependent coherence decay, and large-scale filament formation—are derived and shown to be in agreement with data from JWST, COSMOS, Horizon-AGN, and CMB anomalies. Supplementary derivations provide detailed analytic support for each prediction, grounded in the spinor field dynamics of the model. Contact [email protected] to colloborate and see the full model

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 58%
Molecular Biology Techniques and Applications
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