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April 22, 20260 citationsOpen Access

The Dark Matter Ratio Seven Minus the Golden Ratio A zero-parameter prediction from spacetime dimensionality and causal processing self-similarity

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MHMalin Hess

Key Points

  • The study aims to derive the ratio of dark matter to baryonic matter using spacetime dimensionality and the golden ratio.
  • Calculated the dark matter ratio using inputs of spatial dimensions (D=3) and the golden ratio (ϕ).
  • Analyzed the degrees of freedom within a (3 + 1)-dimensional spacetime.
  • Utilized a scalar entropy field from the Relational-Structural Framework to derive effective coupling.
  • Identified that 5.382 degrees of freedom correspond to structural entropy that acts as cold dark matter.
  • Showed a relationship between the golden ratio and effective coupling in the scalar field.
  • Provided a novel viewpoint on the dark matter ratio based on dimensionality and self-similarity.

Abstract

The ratio of dark matter to baryonic matter in the universe is derived from two inputs: the number of spatial dimensions (D= 3) and the golden ratio (ϕ= (1 + √5)/2). The physical metric of (3 + 1)-dimensional spacetime has 6 independent degrees of freedom. The scalar entropy field of the Relational-Structural Framework captures 1/ϕ of these (not exactly 1), because the non-linear kinetic term at the cosmological processing floor reduces the scalar field’s effective coupling by the golden-ratio factor. The remaining 6−1/ϕ= 5.382 degrees of freedom are structural entropy, which gravitates as cold dark matter. DISCLAIMER Generative AI was used to assist with literature screening / coding support / draft language revision. All AI-assisted outputs were independently checked by the author, and the author takes full responsibility for the final analysis and text. This is encompassing all the work that has been done and will be done. All code is under MIT licensing. All research papers are under Creative Commons License. All code, outputs and notes are included in the reproducibility bundle zip file.

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Cite This Study

Malin Hess (2026) studied this question.

synapsesocial.com/papers/69e866896e0dea528ddeae4ehttps://doi.org/10.5281/zenodo.19671550
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