"Comprehensive Validation and Falsification of the TPMAF Formalism: Analysis of SDSS DR18 Data and Predictive Tests"

I would like to present the first rigorous validation of the TPMAF (Tensor-Phase-Mass-Action-Field) formalism applied to real observational data from the SDSS DR18 catalog. Unlike conventional probabilistic methods, TPMAF operates as a deterministic geometric operator mapping celestial coordinates (α, δ, z) onto an information state manifold. Through nine independent tests—including falsification on 105 stochastic noise points, predictive tar- geting, and Void vs. Coma contrast analysis—we demonstrate that the φratio metric re- mains statistically invariant across extreme variations in galaxy density, explicitly rejects pure stochastic noise, and detects subtle topological gradients. The results indicate that TP- MAF probes a topological invariant of the cosmic web, decoupled from the direct distribution of baryonic matter.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-09
DOI
https://doi.org/10.5281/zenodo.20100183
Primary Topic
Galaxies: Formation, Evolution, Phenomena
Type
article
Field-Weighted Citation Impact
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article

"Comprehensive Validation and Falsification of the TPMAF Formalism: Analysis of SDSS DR18 Data and Predictive Tests"

Stefan Lankiewicz
Zenodo (CERN European Organization for Nuclear Research)
Galaxies: Formation, Evolution, Phenomena
article

"Comprehensive Validation and Falsification of the TPMAF Formalism: Analysis of SDSS DR18 Data and Predictive Tests"

Stefan Lankiewicz
article en

Abstract

I would like to present the first rigorous validation of the TPMAF (Tensor-Phase-Mass-Action-Field) formalism applied to real observational data from the SDSS DR18 catalog. Unlike conventional probabilistic methods, TPMAF operates as a deterministic geometric operator mapping celestial coordinates (α, δ, z) onto an information state manifold. Through nine independent tests—including falsification on 105 stochastic noise points, predictive tar- geting, and Void vs. Coma contrast analysis—we demonstrate that the φratio metric re- mains statistically invariant across extreme variations in galaxy density, explicitly rejects pure stochastic noise, and detects subtle topological gradients. The results indicate that TP- MAF probes a topological invariant of the cosmic web, decoupled from the direct distribution of baryonic matter.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Galaxies: Formation, Evolution, Phenomena
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