Dynamical Dark Fluid: A Novel Framework for Hubble Tension Resolution via Ternary CMB Decomposition

Abstract We introduce the Dynamical Dark Fluid (DDF) framework, a unified model proposing energy transfer Q = ΓρDMH between dark energy and dark matter as a resolution to the Hubble tension. Unlike static ΛCDM models, DDF permits late-time acceleration adjustment while preserving early-universe physics through controlled vacuum-matter coupling. The framework predicts a systematic −0.24% residual in the CMB TT power spectrum at ℓ ∈ [700, 900], detectable as integrated χ 2 Improvement over 200 multipoles when compared to standard ΛCDM. We provide open-source implementation via CAMB integration and introduce a ternary signal decomposition method for CMB anisotropy analysis. Energy conservation, causality, and consistency with BAO, Type Ia supernovae, and weak lensing constraints are analytically verified. The coupling constant Γ = 0.0024 Is phenomenologically derived from the observed 8% Hubble parameter mismatch between early-universe (Planck) and late-universe (SH0ES) measurements. Statistical validation against Planck 2018 likelihood chains is left to independent research groups with access to full data products. This work establishes DDF as a testable alternative to early dark energy and modified gravity approaches. Complete computational framework and implementation code are provided for community validation. Keywords: Cosmology, Hubble Tension, Dark Energy, Dark Matter, CMB Anisotropies, Computational Astrophysics