Quantitative Verification of the Ontological Self-Calibration of TMDD via the Phenomenological CMB Landscape

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Authors: Sergey Aleksandrovich Mazein
Cited by: 0

Abstract

A quantitative verication of the ontologically self-calibrated Tensor Model of Discrete Dynamics (TMDD) is presented on the phenomenological latent CMB landscape constructed by Piras et al. [1] without reliance on standard cosmological parametrizations. It is shown that the independent latent degrees of freedom of the CMB have direct ontological analogs in the action invariants of TMDD, including the "ontological tail" ρ∥XiXj∥/d(i, j), responsible for effects interpreted as early dark energy. Using the previously performed self-calibration of TMDD, we map the normalized latent coordinates of ΛCDM and EDE models to TMDD predictions without introducing new fitting parameters. Additionally, a summary of TMDD's quantitative "trophies" is provided: the resolution of four key anomalies in modern physics (the H0 tension, anomalous muon magnetic moment, W -boson mass, lithium deficit), the reproduction of galaxy rotation curves without exotic dark matter, agreement with the triumphs of the Standard Model, and the recovery of fundamental constants from ontological parameters. Collectively, this demonstrates that TMDD not only does not contradict CMB data but also provides an ontologically closed and quantitatively verifiable foundation for describing the dark sector and cosmological anomalies.

Fields of Study & Subjects

Computational Physics and Python Applications Cosmology and Gravitation Theories Earth Systems and Cosmic Evolution

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026
Language
EN
Document type
Preprint