Phi‑Harmonic Resonance Window for Adaptive E8‑Based Signal Filtering — E8 Intelligence Research
Year: 2026
Type: preprint
Abstract: By combining the 6/π² probability of primitive root‑vector pairs in the E8 lattice with phi‑scaled harmonics of the 132 Hz base frequency, we identify specific temporal windows where the lattice's symmetry maximally decorrelates ambient noise. Applying a signal filter exclusively during these phi‑harmonic resonance windows reproduces the OFF_SESSION improvement (+9.9 pp win rate) and predicts further gains when the window aligns with the lattice's eight‑fold Coxeter elements. This geometry‑driven rule offers a predictive, adaptive filtering principle that extends the empirical OFF_SESSION result to arbitrary sampling rates and signal types. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Author: Caldin, Andrew Stewart
Language: English
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7222903398
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