Temporaxis: Symbolic Compression and Recursive Pattern Forecasting in Space Weather Dynamics
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| Formato: | Recurso digital |
| Lenguaje: | inglés |
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Zenodo
2025
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| _version_ | 1866901193961242624 |
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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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15712057 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| 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 |