DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction

• URL: http://arxiv.org/abs/2009.04238v1
• Date: Fri, 4 Sep 2020 03:41:50 GMT
• Title: DeepSun: Machine-Learning-as-a-Service for Solar Flare Prediction
• Authors: Yasser Abduallah, Jason T. L. Wang, Yang Nie, Chang Liu, Haimin Wang
• Abstract summary: We present a machine-learning-as-a-service framework, called DeepSun, for predicting solar flares on the Web. The DeepSun system employs several machine learning algorithms to tackle this multi-class prediction problem. To our knowledge, DeepSun is the first ML tool capable of predicting solar flares through the Internet.
• Score: 3.994605741665177
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Solar flare prediction plays an important role in understanding and forecasting space weather. The main goal of the Helioseismic and Magnetic Imager (HMI), one of the instruments on NASA's Solar Dynamics Observatory, is to study the origin of solar variability and characterize the Sun's magnetic activity. HMI provides continuous full-disk observations of the solar vector magnetic field with high cadence data that lead to reliable predictive capability; yet, solar flare prediction effort utilizing these data is still limited. In this paper, we present a machine-learning-as-a-service (MLaaS) framework, called DeepSun, for predicting solar flares on the Web based on HMI's data products. Specifically, we construct training data by utilizing the physical parameters provided by the Space-weather HMI Active Region Patches (SHARP) and categorize solar flares into four classes, namely B, C, M, X, according to the X-ray flare catalogs available at the National Centers for Environmental Information (NCEI). Thus, the solar flare prediction problem at hand is essentially a multi-class (i.e., four-class) classification problem. The DeepSun system employs several machine learning algorithms to tackle this multi-class prediction problem and provides an application programming interface (API) for remote programming users. To our knowledge, DeepSun is the first MLaaS tool capable of predicting solar flares through the Internet.

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