E8 Topological Charge-Driven Information Sprawl — E8 Intelligence Research

By mapping the 240 E8 root vectors' phi-scaled phases to hierarchical data clusters, we detect a conserved set of topological invariants that emerge under information entropy constraints. These charges act as dynamic keys for compressing high-dimensional datasets while preserving critical harmonic relationships tied to 132Hz oscillations. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23052083
Primary Topic
Topological and Geometric Data Analysis
Type
preprint
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E8 Topological Charge-Driven Information Sprawl — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
preprint

E8 Topological Charge-Driven Information Sprawl — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

By mapping the 240 E8 root vectors' phi-scaled phases to hierarchical data clusters, we detect a conserved set of topological invariants that emerge under information entropy constraints. These charges act as dynamic keys for compressing high-dimensional datasets while preserving critical harmonic relationships tied to 132Hz oscillations. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Topological and Geometric Data Analysis
DOIOpen Access PDFOpenAlex
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E8 Topological Charge-Driven Information Sprawl — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS