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February 9, 20260 citationsOpen Access

A Geometric Framework for Fundamental Constants: Numerical Patterns, Packing Limits, and Falsifiable Predictions (Research Program Preprint, v3.0)

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KBKaan Bozanlı

Key Points

  • The research aims to explore the emergence and relationships of fundamental constants through a geometric framework.
  • Defined a geometric 'packing channel' with specific endpoints based on packing density.
  • Constructed a catalog of 30 numerical formulas from a basis of six dimensionless constants.
  • Recorded mean relative error of catalog approximations and established falsifiable predictions for future testing.
  • The mean relative error across the catalog is approximately 0.22%.
  • Five specific falsifiable predictions are outlined for future experimental verification.

Abstract

This record archives a timestamped research-program preprint (Version 3. 0) proposing a geometric “packing channel” perspective on the emergence of selected physical and mathematical constants. Framework. A bounded dimensionless interval (“packing channel”) is defined with endpoints at the Kepler packing density π/ (3√2) ≈ 0. 7404804896 and a conjectured upper bound π/ (2√2) ≈ 1. 1107207345. Derived channel quantities (e. g. , Ω0 = π/ (2√3) ) and exact interval identities are recorded for internal consistency checks. Formula catalog. Using a primitive basis of six dimensionless constants π, √2, √3, √11, √13, φ, the document constructs a catalog of 30 numerical formulas that approximate selected reference quantities. The catalog is explicitly presented as numerical observations (pattern matching), not as theoretical derivations. The reported mean relative error across the catalog is on the order of 0. 22% (below 0. 3% in summary statements). Prediction registry. Five falsifiable predictions are registered with stated criteria for future experimental/observational verification. Scope disclaimer. This preprint is not peer-reviewed and does not claim solutions to any Clay Millennium Prize Problem. It is intended as a structured, timestamped program document: definitions, identities, numerical benchmarks, and testable predictions.

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Cite This Study

Kaan Bozanlı (2026) studied this question.

synapsesocial.com/papers/69897a35f0ec2af6756e886fhttps://doi.org/10.5281/zenodo.18519325
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