Quantitative Prediction: CMB μ-Distortion Amplitude from Phase Transition Residual Friction Inverse Einstein Protocol (IEP) Diego Jose Merizalde Los Angeles, CA — March 15, 2026 Abstract The Inverse Einstein Protocol (IEP) reinterprets the cosmic microwave background (CMB) as residual friction from a synchronized first-order Phase Transition across the c² inertial threshold, rather than the cooled aftermath of a hot Big Bang explosion. The thermodynamic cost of localization is fixed at W ≈ E/2 — half the incoming non-local energy potential dissipated as irreversible latent heat during condensation into the ordered primordial phase. This energy injection into the early photon bath produces chemical potential (μ-type) spectral distortions. The IEP predicts: μ ≈ 10⁻⁷ to 10⁻⁶ Derivation Sketch Latent heat release: W ≈ E/2 (Axiom 2: fixed minimum cost of threshold crossing from zero-entropy non-local state to localized phase). Energy distributed over redshifted CMB photon bath (n_γ ∝ T³, current T = 2. 725 K). μ-distortion amplitude scales as fractional energy injection ΔU/U ≈ μ/1. 4 (standard μ-regime relation). Scaling from W ≈ E/2 over cosmic expansion and photon entropy dilution yields order-of-magnitude μ ~ 10⁻⁷ to 10⁻⁶ (full calculation in forthcoming IEP book, Chapter 8). Distinction from ΛCDM Standard ΛCDM predicts μ ~ 10⁻⁸ from secondary processes (e. g. , Silk damping, Compton y-distortions; Chluba et al. 2012; Khatri et al. 2012). The IEP's primordial threshold friction is a distinct, higher-amplitude source independent of small-scale damping. Testability subsequent records DOI 10. 5281/zenodo. your list). Related lab analog: Truong & Teboul (2025), Physics of Fluids 37, 113111, DOI: 10. 1063/5. 0301017. Keywords: CMB spectral distortions, μ-distortion, Phase Transition, Inverse Einstein Protocol, PIXIE, Voyage 2050, cosmology prediction License: CC-BY-4. 0 (recommended for open access)
Building similarity graph...
Analyzing shared references across papers
Loading...
Diego Jose Merizalde
Building similarity graph...
Analyzing shared references across papers
Loading...
Diego Jose Merizalde (Mon,) studied this question.
www.synapsesocial.com/papers/69ba43a84e9516ffd37a522f — DOI: https://doi.org/10.5281/zenodo.19041733