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
- 0.00