Inferring the TGIU Primitives (θ_C, η, ∇Φ, ∇S, TEF) from Standard SI Measurements without Exotic Sensors

This work presents a novel method to infer the core primitives of the Universal Gravito–Informational Theory (TGIU)—collapse angle (θ_C), efficiency constant (η), informational potential gradient (∇Φ), entropy gradient (∇S), and the Equilibrium Force (TEF)—directly from standard SI measurements, without requiring exotic sensors or speculative devices. By establishing mathematical correspondences between TGIU primitives and measurable SI quantities (e.g., energy, momentum, entropy, acceleration), the approach enables practical access to collapse parameters through classical experimental setups. This bridges the gap between TGIU’s informational framework and mainstream physics, allowing both validation and potential applications (e.g., in metamaterials, superconductivity, and energy systems) within familiar experimental contexts.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-01
DOI
https://doi.org/10.5281/zenodo.17242829
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
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article

Inferring the TGIU Primitives (θ_C, η, ∇Φ, ∇S, TEF) from Standard SI Measurements without Exotic Sensors

Zenodo (CERN European Organization for Nuclear Research)
Malaria Research and Control
article

Inferring the TGIU Primitives (θ_C, η, ∇Φ, ∇S, TEF) from Standard SI Measurements without Exotic Sensors

article en

Abstract

This work presents a novel method to infer the core primitives of the Universal Gravito–Informational Theory (TGIU)—collapse angle (θ_C), efficiency constant (η), informational potential gradient (∇Φ), entropy gradient (∇S), and the Equilibrium Force (TEF)—directly from standard SI measurements, without requiring exotic sensors or speculative devices. By establishing mathematical correspondences between TGIU primitives and measurable SI quantities (e.g., energy, momentum, entropy, acceleration), the approach enables practical access to collapse parameters through classical experimental setups. This bridges the gap between TGIU’s informational framework and mainstream physics, allowing both validation and potential applications (e.g., in metamaterials, superconductivity, and energy systems) within familiar experimental contexts.

Zenodo (CERN European Organization for Nuclear Research)
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Malaria Research and Control
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