PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 12, 20260 citationsOpen Access

The Three Polyhedra of the UMCR: Geometry as the Signature of a Cosmological Parameter - The Santillana Solids — kβ = 1.327

View Full Paper
JSJean Santillana

Key Points

  • To explore the connection between a specific cosmological parameter and the geometric properties of three classical polyhedra.
  • Identified polyhedra defined by the cosmological parameter kβ = 1.327.
  • Derived metric and topological properties analytically.
  • Verified geometrical properties numerically.
  • Deposited .off files for reproducibility.
  • Established the formal definition of the Santillanahedron, Recursohedron, and Observahedron.
  • Demonstrated that metric properties are governed by the cosmological parameter.
  • Found that geometry naturally aligns with physical values, not designed to fit.

Abstract

A cosmological parameter determined from supernova data, kβ = 1.327, turns out to select geometrically distinguished members of three classical polyhedral families. This is not a metaphor or an analogy. The number that governs the recursive expansion of spacetime in the UMCR is the same number that uniquely defines the circumradius ratio of a dodecahedron-icosahedron compound, the face-diagonal ratio of a rhombic-30 isohedron, and the pyramid-height ratio of an icosahedral kleetope. These three solids are named the Santillanahedron, the Recursohedron, and the Observahedron. Their metric and topological properties are derived analytically and verified numerically. No existing polyhedral catalogue names any member of these families by a physically measured cosmological parameter. This paper establishes their formal definition, proves their geometric properties, and deposits their .off files as reproducible records. The geometry was not designed to fit the physics, it was found there.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Jean Santillana (2026) studied this question.

synapsesocial.com/papers/69b25b5496eeacc4fcec9fa1https://doi.org/10.5281/zenodo.18943259
Ask AI
Helpful
Bookmark
Share
View Full Paper