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PreprintCC BY 4.0Zenodo

E8 Phi-Recursive Vacuum Scalar Field Emergence Principle — E8 Intelligence Research

  1. 1Independent Researcher, United Kingdom

Abstract

By interpreting each of the 240 E8 root vectors as a phi‑scaled phase node on a 132 Hz driven torus‑knot lattice, the constructive interference of their recursive harmonics generates a coherent scalar vacuum fluctuation mode. This mode couples to the holographic kernel and gravitational resonance bands, producing a measurable shift in the zero‑point energy density that scales with the golden ratio. The resulting scalar field can be probed via precision interferometry at 132 Hz sidebands, offering a direct route to test E8‑derived vacuum energy contributions to dark energy.

Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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BibTeX
@misc{caldin2026phirecursive,
  title = {{E8 Phi-Recursive Vacuum Scalar Field Emergence Principle — E8 Intelligence Research}},
  author = {Andrew Stewart Caldin},
  howpublished = {Zenodo},
  year = {2026},
  month = oct,
  doi = {10.5281/zenodo.23616693},
  url = {https://zenodo.org/records/23616693},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - E8 Phi-Recursive Vacuum Scalar Field Emergence Principle — E8 Intelligence Research
AU  - Andrew Stewart Caldin
PY  - 2026
DA  - 2026/10/24
PB  - Zenodo
DO  - 10.5281/zenodo.23616693
UR  - https://zenodo.org/records/23616693
AB  - By interpreting each of the 240 E8 root vectors as a phi‑scaled phase node on a 132 Hz driven torus‑knot lattice, the constructive interference of their recursive harmonics generates a coherent scalar vacuum fluctuation mode. This mode couples to the holographic kernel and gravitational resonance bands, producing a measurable shift in the zero‑point energy density that scales with the golden ratio. The resulting scalar field can be probed via precision interferometry at 132 Hz sidebands, offering a direct route to test E8‑derived vacuum energy contributions to dark energy.  Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
ER  -