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May 21, 20260 citationsOpen Access

The η Parameter: A Heuristic Extension within the Adaptive Constraint Cascade (ACC) Framework

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TNThanh Minh Nguyen

Key Points

  • This paper aims to introduce a new dimensionless parameter, η, to enhance the ACC framework by characterizing intrinsic properties of matter.
  • Introduced η as a ratio of mass defect to rest mass, defined as η = Δm₀/m₀.
  • Proposed equations illustrating deformations in space and mass under the ACC framework.
  • Discussed possible experimental approaches to determine η for elementary particles.
  • Defined η as an effective phenomenological deformation impacting space and mass.
  • Presented conceptual illustrations within the ACC framework, indicating theoretical implications.
  • No claims made that deformations correspond to physically realized corrections.

Abstract

The Adaptive Constraint Cascade (ACC) framework employs a family of extrinsic control parameters (λ, β, ε, Λ, …) to describe continuous transitions between different physical regimes. However, these parameters depend on external conditions (temperature, velocity, cutoff scale, etc.) and do not characterize the intrinsic properties of matter itself. In this paper, we introduce a new dimensionless parameter η, defined as the ratio η = Δm₀/m₀, where Δm₀ is the mass defect (or "field" content) of a particle and m₀ is its rest mass. We suggest that η could be interpreted as an effective phenomenological deformation within the ACC language, governing deformations of space and mass: dx' = (1 + ηβ²)dx and m = m₀(1 + ηβ²). This is presented as a heuristic extension, not as an alternative to established theories. We discuss potential experimental determinations of η for elementary particles and outline how this parameter might enrich the internal architecture of ACC. The equations presented here should be viewed primarily as conceptual illustrations within the ACC language. No claim is made that these deformations correspond to physically realized corrections.

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Cite This Study

Thanh Minh Nguyen (2026) studied this question.

synapsesocial.com/papers/6a0ea16cbe05d6e3efb600a1https://doi.org/10.5281/zenodo.20279447
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