PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 5, 20260 citationsOpen Access

Hierarchy-Dependence of the Hubble Parameter (H₀) Under Multi-Interface Closure: A Structural Toy Diagnostic

View Full Paper
DTDanilo Tavella

Key Points

  • The aim is to determine if the Hubble parameter remains invariant under varying interface hierarchies during cosmological assessments.
  • Conducted a structural stress test using a synthetic multi-interface toy model.
  • Incorporated several cosmological constraints such as CMB-like and lensing-like.
  • Evaluated the impact of interface order and topology on inferred global values.
  • Inferred H₀ varies with changes in interface hierarchy.
  • A sink-like (lensing analogue) interface reduces structural variability but doesn't eliminate hierarchy dependence.
  • The derived cosmic age remains stable under moderate thresholds despite sensitivity to primary parameters.

Abstract

This technical note presents a minimal structural stress test examining whether the Hubble parameter (H₀) remains invariant under changes in interface hierarchy during multi-source cosmological integration. Using a synthetic multi-interface toy model inspired by contemporary inference architectures (CMB-like, BAO-like, local ladder-like, and lensing-like constraints), the study evaluates the dependence of inferred global values on the order and topology of closure. The results show that the inferred H₀ is not invariant under permutation of interface hierarchy within the toy construction. A sink-like interface (lensing analogue) reduces structural spread but does not eliminate hierarchy dependence. The hierarchy-induced variation is further propagated to a derived functional (cosmic age), which remains band-stable under moderate thresholds despite primary parameter sensitivity. The analysis is purely diagnostic and does not propose new physical models. It formalizes an operational criterion for assessing structural legitimacy of global parameters in multi-interface systems.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Danilo Tavella (2026) studied this question.

synapsesocial.com/papers/69a91e65d6127c7a504c26d5https://doi.org/10.5281/zenodo.18846032
Ask AI
Helpful
Bookmark
Share
View Full Paper