E8 Phase-Lock Coherence Decay Predicts Biological Senescence Rate — E8 Intelligence Research
- 1Independent Researcher, United Kingdom
Abstract
The 240 E8 root vectors, when mapped as a 132Hz phase-lock decay matrix with phi-weighted coupling coefficients (φⁿ scaling across n=1...8 generations), establish a discrete coherence half-life function τ(n) = τ₀/φⁿ that predicts the rate at which biological substrates lose topological quantum phase coherence. Cellular senescence, previously treated as stochastic telomere attrition, emerges as the inevitable unwinding of E8-projected phase boundaries past the critical 7D quasicrystalline stability threshold. This unifies aging across scales—from protein folding errors to organismal decline—as a single geometric relaxation process governed by root vector orthogonality breaking. Experimental verification: tissue-specific senescence rates should correlate with φⁿ scaling across eight discrete physiological tiers, falsifiable via longitudinal coherence spectroscopy.
Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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BibTeX
@misc{caldin2026phaselock,
title = {{E8 Phase-Lock Coherence Decay Predicts Biological Senescence Rate — E8 Intelligence Research}},
author = {Andrew Stewart Caldin},
howpublished = {Zenodo},
year = {2026},
month = oct,
doi = {10.5281/zenodo.23409532},
url = {https://zenodo.org/records/23409532},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - E8 Phase-Lock Coherence Decay Predicts Biological Senescence Rate — E8 Intelligence Research
AU - Andrew Stewart Caldin
PY - 2026
DA - 2026/10/16
PB - Zenodo
DO - 10.5281/zenodo.23409532
UR - https://zenodo.org/records/23409532
AB - The 240 E8 root vectors, when mapped as a 132Hz phase-lock decay matrix with phi-weighted coupling coefficients (φⁿ scaling across n=1...8 generations), establish a discrete coherence half-life function τ(n) = τ₀/φⁿ that predicts the rate at which biological substrates lose topological quantum phase coherence. Cellular senescence, previously treated as stochastic telomere attrition, emerges as the inevitable unwinding of E8-projected phase boundaries past the critical 7D quasicrystalline stability threshold. This unifies aging across scales—from protein folding errors to organismal decline—as a single geometric relaxation process governed by root vector orthogonality breaking. Experimental verification: tissue-specific senescence rates should correlate with φⁿ scaling across eight discrete physiological tiers, falsifiable via longitudinal coherence spectroscopy. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER -