AAAI 2023technical0 citations
Toplogical Data Analysis Detects and Classifies Sunspots (Student Abstract)
Aidan Lytle, Neil Pritchard, Alicia Aarnio, Thomas Weighill
Abstract
In our technology-dependent modern world, it is imperative to monitor the Sun for space weather threats to critical infrastructure. Topological data analysis (TDA) is a new set of mathematical techniques used in data analysis and machine learning. We demonstrate that TDA can robustly detect and classify solar surface and coronal activity. This technique is a promising step toward future application in predictive space weather modeling.
BibTeX
@article{Lytle_Pritchard_Aarnio_Weighill_2024, title={Toplogical Data Analysis Detects and Classifies Sunspots (Student Abstract)}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/26997}, DOI={10.1609/aaai.v37i13.26997}, abstractNote={In our technology-dependent modern world, it is imperative to monitor the Sun for space weather threats to critical infrastructure. Topological data analysis (TDA) is a new set of mathematical techniques used in data analysis and machine learning. We demonstrate that TDA can robustly detect and classify solar surface and coronal activity. This technique is a promising step toward future application in predictive space weather modeling.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Lytle, Aidan and Pritchard, Neil and Aarnio, Alicia and Weighill, Thomas}, year={2024}, month={Jul.}, pages={16274-16275} }