Meta Model of Metaphenomena (MMM): Theoretical Analysis and Prediction of Extreme Trans-Neptunian Object 2017 OF201

A theoretical framework connecting cosmic microwave background physics to extreme trans-Neptunian object orbital dynamics. The Meta Model of Metaphenomena (MMM) makes predictions for 2017 OF201 characteristics based solely on cosmological parameters, achieving 88.9% prediction accuracy (8.4% error for eccentricity, 13.7° error for longitude of perihelion). This work provides an alternative theoretical explanation to the Planet 9 hypothesis for extreme TNO orbital characteristics.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-25
DOI
https://doi.org/10.5281/zenodo.15512837
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
0.00
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article

Meta Model of Metaphenomena (MMM): Theoretical Analysis and Prediction of Extreme Trans-Neptunian Object 2017 OF201

Zenodo (CERN European Organization for Nuclear Research)
Cosmology and Gravitation Theories
article

Meta Model of Metaphenomena (MMM): Theoretical Analysis and Prediction of Extreme Trans-Neptunian Object 2017 OF201

article en

Abstract

A theoretical framework connecting cosmic microwave background physics to extreme trans-Neptunian object orbital dynamics. The Meta Model of Metaphenomena (MMM) makes predictions for 2017 OF201 characteristics based solely on cosmological parameters, achieving 88.9% prediction accuracy (8.4% error for eccentricity, 13.7° error for longitude of perihelion). This work provides an alternative theoretical explanation to the Planet 9 hypothesis for extreme TNO orbital characteristics.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 66%
Cosmology and Gravitation Theories
DOIOpen Access PDFOpenAlex
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Meta Model of Metaphenomena (MMM): Theoretical Analysis and Prediction of Extreme Trans-Neptunian Object 2017 OF201 · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS