Name
Title | ||
|---|---|---|
On The Prediction Of > 100 Mev Solar Energetic Particle Events Using Goes Satellite Data |
Abstract | ||
|---|---|---|
Solar energetic particles are a result of intense solar events such as solar flares and Coronal Mass Ejections (CMEs). These latter events all together can cause major disruptions to spacecraft that are in Earth's orbit and outside of the magnetosphere. In this work we are interested in establishing the necessary conditions for a major geo-effective solar particle storm immediately after a major flare, namely the existence of a direct magnetic connection. To our knowledge, this is the first work that explores not only the correlations of GOES X-ray and proton channels, but also the correlations that happen across all the proton channels. We found that proton channels auto-correlations and cross-correlations may also be precursors to the occurrence of an SEP event. In this paper, we tackle the problem of predicting > 100 MeV SEP events from a multivariate time series perspective using easily interpretable decision tree models. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/bigdata.2017.8258212 | 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) |
Keywords | Field | DocType |
SEP Events Prediction, CART decision tree, > 100 MeV SEP, GOES X-ray and Proton correlation, Vector autoregression | Coronal mass ejection,Astrophysics,Data mining,Geostationary Operational Environmental Satellite,Solar flare,Satellite,Proton,Computer science,Flare,Magnetosphere,Solar energetic particles | Conference |
ISSN | Citations | PageRank |
2639-1589 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Soukaina Filali Boubrahimi | 1 | 1 | 6.10 |
| Berkay Aydin | 2 | 40 | 10.75 |
| Petrus Martens | 3 | 2 | 1.06 |
| Rafal A. Angryk | 4 | 271 | 45.56 |