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July 12, 20260 citationsOpen Access

Universal Formulation of the Dynamic Vacuum Theory (DVT): Unifying Sub-Atomic Invariants and Galactic Kinematics

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UAUmut Artik

Key Points

  • This work aims to present a comprehensive formulation of the Dynamic Vacuum Theory that addresses fundamental issues in physics.
  • Developed a scale-invariant formulation of DVT to unify sub-atomic and galactic phenomena.
  • Direct derivation of the CODATA proton rest mass from a universal vacuum threshold.
  • Integrated Navier-Stokes and Gross-Pitaevskii equations to model space-time as a superfluid.
  • Predicted rotation curves of M33, M31, and Milky Way without data fitting, aligning with Gaia DR3 findings.
  • Resolved the Muon g-2 anomaly deterministically, improving theoretical predictions.
  • Eliminated the need for dark matter by addressing vacuum catastrophe (10^{120}).

Abstract

This master paper presents the definitive, scale-invariant formulation of the Dynamic Vacuum Theory (DVT). Expanding upon previous iterations, this work provides a comprehensive physical framework that eliminates the need for the Dark Matter hypothesis and resolves the Vacuum Catastrophe (\ (10^120\) ). Key achievements presented in this paper: Sub-Atomic Validation: Direct derivation of the CODATA proton rest mass from the universal vacuum threshold (\ (_* = 4. 7 10^-22 kg/m³\) ). Galactic Kinematics: Flawless prediction of rotation curves for M33, M31, and the Milky Way (matching the recent Gaia DR3 decline) without post-hoc data fitting. Quantum Anomalies: A deterministic resolution of the Muon g-2 anomaly and the Bullet Cluster spatial offset. Hydrodynamic Foundation: Integration of Navier-Stokes and Gross-Pitaevskii equations to model space-time as a superfluid Bose-Einstein Condensate. This document serves as the primary technical reference for DVT V9, unifying microscopic quantum phase transitions with macroscopic cosmological observations under a single, deterministic acceleration engine.

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Cite This Study

Umut Artik (2026) studied this question.

synapsesocial.com/papers/6a5333754f7abc118adee143https://doi.org/10.5281/zenodo.21302738
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