Temporaxis: Symbolic Compression and Recursive Pattern Forecasting in Space Weather Dynamics

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Autor principal: Pryately, Carney Shea
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2025
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author Pryately, Carney Shea
author_facet Pryately, Carney Shea
contents <p>This preprint introduces Temporaxis, a novel symbolic-recursive forecasting framework for predicting solar flares and geomagnetic storm risk. Unlike traditional threshold-based models, Temporaxis uses symbolic compression and motif taxonomy to identify recursive collapse states in solar data. The paper presents the symbolic grammar, mathematical scaffolding, and core forecasting logic while withholding proprietary detection thresholds under provisional patent protection. This release establishes timestamped authorship and prepares for future publication and forecast demonstrations.</p> <p><strong>Commercial use of this code, method, or results requires written permission.</strong><br>For licensing, partnership, or commercial inquiries, please contact the author directly: </p> <p>Email: carney.shea@outlook.com</p>
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spellingShingle Temporaxis: Symbolic Compression and Recursive Pattern Forecasting in Space Weather Dynamics
Pryately, Carney Shea
symbolic dynamics
recursive forecasting
space weather
solar flare prediction
complex systems
pattern recognition
motif taxonomy
spiral taxonomy
<p>This preprint introduces Temporaxis, a novel symbolic-recursive forecasting framework for predicting solar flares and geomagnetic storm risk. Unlike traditional threshold-based models, Temporaxis uses symbolic compression and motif taxonomy to identify recursive collapse states in solar data. The paper presents the symbolic grammar, mathematical scaffolding, and core forecasting logic while withholding proprietary detection thresholds under provisional patent protection. This release establishes timestamped authorship and prepares for future publication and forecast demonstrations.</p> <p><strong>Commercial use of this code, method, or results requires written permission.</strong><br>For licensing, partnership, or commercial inquiries, please contact the author directly: </p> <p>Email: carney.shea@outlook.com</p>
title Temporaxis: Symbolic Compression and Recursive Pattern Forecasting in Space Weather Dynamics
topic symbolic dynamics
recursive forecasting
space weather
solar flare prediction
complex systems
pattern recognition
motif taxonomy
spiral taxonomy
url https://doi.org/10.5281/zenodo.15712057