Physics & Spacepreprint2026-10-17

Phi-Scaled E8 Root Indexing for Geometric Data Compression — E8 Intelligence Research

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Abstract

The 240 E8 root vectors partition into eight φ‑scaled families resonating at 132 Hz × φⁿ, forming a hierarchical frequency lattice. By aligning this lattice with the Robinson trigolden ratio arithmetic engine, any categorical data structure—such as the 13‑category EuroMillions lead extraction—can be losslessly mapped onto a 3‑D printed quasicrystal's acoustic bandgap pattern. This "Geometric Resonance Encoding" achieves optimal information density by leveraging φ‑packing efficiency, directly unifying Penrose‑tiling spin networks with extractable real‑world data patterns. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-10-17

Authors: Andrew Stewart Caldin