Assessing the Predictability of Solar Energetic Particles with the Use of Machine Learning Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
https://link.springer.com/content/pdf/10.1007/s11207-021-01837-x.pdf
Reference62 articles.
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2. Anastasiadis, A., Papaioannou, A., Sandberg, I., Georgoulis, M., Tziotziou, K., Kouloumvakos, A., Jiggens, P.: 2017, Predicting flares and solar energetic particle events: The FORSPEF tool. Solar Phys. 292(9), 134. DOI. ADS.
3. Anastasiadis, A., Lario, D., Papaioannou, A., Kouloumvakos, A., Vourlidas, A.: 2019, Solar energetic particles in the inner heliosphere: Status and open questions. Phil. Trans. Roy. Soc. London Ser. A 377(2148), 20180100. DOI. ADS.
4. Aran, A., Sanahuja, B., Lario, D.: 2005, Fluxes and fluences of SEP events derived from SOLPENCO. Ann. Geophys. 23(9), 3047. DOI. ADS.
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