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For decades, astrophysics has relied on the placeholder concept of "Dark Energy" to explain the accelerating expansion of the universe. This reliance has produced the Cosmological Constant Problem, a catastrophic mathematical discrepancy of 10¹²⁰ between Quantum Field Theory and Observed Cosmological Expansion. This paper resolves the paradox utilizing the Electron Flow Model (EFM). By redefining the universal vacuum as a pressurized, supersaturated fluid medium, we demonstrate that cosmic expansion is not driven by an exotic repulsive force. Rather, it is the natural mechanical response of a pressurized fluid seeking macroscopic thermodynamic equilibrium. Key Findings & Methodology: The Micro-to-Macro Bridge: The EFM demonstrates that the intense internal zero-point energy of the vacuum establishes baseline hydrostatic pressure, rather than an explosive repulsive field. The macroscopic pressure gradient (∇Pflux) is structurally derived from the ratio of microscopic EVGS sinks to their volumetric domain. Elimination of the Cosmological Constant (Λ): The ad-hoc parameter is entirely replaced by the deterministic properties of fluid viscosity and effective density, restoring mechanical causality to cosmology. First-Principles Monte-Carlo Integration: Utilizing a 53-object Main Data Matrix of celestial EVGS clusters, a 10, 000-pass Monte-Carlo integration simulates observational light-paths through the pressurized medium. Bisecting the Hubble Tension: The fluid-dynamic engine mathematically derives a precise cosmic expansion rate of H₀ = 69. 9 ± 0. 1 km/s/Mpc, cleanly bridging the gap between the Planck 2018 baseline and DES Year 3 measurements. Included Resources: Appendix A contains the complete, reproducible Python mathematical engine used to integrate the Unified Master Equation. The Unified Fluid Cosmos Framework: This paper serves as Manuscript 11 Version 1 in the comprehensive series, Marabūt's Theory of Gravity. It presents the Electron Flow Model (EFM), a generative, fluid-dynamic framework designed to fundamentally replace General Relativity. The EFM shatters classical circularity with a single, undeniable foundational premise: Gravity is Pressure, not curvature, and not an intrinsic mass property. Published Manuscripts in this Series: Manuscript 01: The Push-Pull Mechanics of Vacuum Flux (The Foundational Framework) — https: //doi. org/10. 5281/zenodo. 20126552 Manuscript 02: Resolving the Weyl Potential Anomaly — https: //doi. org/10. 5281/zenodo. 20127273 Manuscript 03: Mechanistic Resolution of Jet Deflection in Cygnus X-1 — https: //doi. org/10. 5281/zenodo. 20128198 Manuscript 04: Quantum Mechanics of Stellar Chain Reactions and EVGS Formation — https: //doi. org/10. 5281/zenodo. 20070275 Manuscript 05: The Heliospheric Grand Data Matrix — https: //doi. org/10. 5281/zenodo. 20128777 Manuscript 06: Fluid-Dynamic Reinterpretation of Gravity, Black Holes, and Gravitational Waves — https: //doi. org/10. 5281/zenodo. 20129881 Manuscript 07: Fluid-Dynamic Reinterpretation of the Kinematic Sunyaev-Zeldovich Effect — https: //doi. org/10. 5281/zenodo. 20130260 Manuscript 08: Transcending the Singularity — Electron Void Gravitational Spheres — https: //doi. org/10. 5281/zenodo. 20130802 Manuscript 09: The Final Parsec Problem Solved — https: //doi. org/10. 5281/zenodo. 20134049 Manuscript 10: The Illusion of the Singularity — https: //doi. org/10. 5281/zenodo. 20135534 Manuscript 11: The Illusion of Dark Energy (Current Paper) — https: //doi. org/10. 5281/zenodo. 20149142 Data & Code Availability: To accompany this manuscript, we have open-sourced the complete Python mathematical engine and a fully interactive 3D web-based simulation of the EFM Volumetric Profiler. Researchers, developers, and students can visually explore the hydrodynamic vacuum flux across the celestial bodies at: Interactive 3D EFM Volumetric Profiler: https: //marabutmarabut. github. io/Theory-of-Gravity Official GitHub Repository: https: //github. com/MarabutMarabut/Theory-of-Gravity
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Christopher Berry Marabūt
Angelina Lopez Marabūt
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Marabūt et al. (Mon,) studied this question.
www.synapsesocial.com/papers/6a06b9a9e7dec685947ac6dc — DOI: https://doi.org/10.5281/zenodo.20149141