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[ascl:1804.013] CAT-PUMA: CME Arrival Time Prediction Using Machine learning Algorithms

CAT-PUMA (CME Arrival Time Prediction Using Machine learning Algorithms) quickly and accurately predicts the arrival of Coronal Mass Ejections (CMEs) of CME arrival time. The software was trained via detailed analysis of CME features and solar wind parameters using 182 previously observed geo-effective partial-/full-halo CMEs and uses algorithms of the Support Vector Machine (SVM) to make its predictions, which can be made within minutes of providing the necessary input parameters of a CME.

Code site:
https://github.com/PyDL/cat-puma
Appears in:
http://adsabs.harvard.edu/abs/2018ApJ...855..109L
Bibcode:
2018ascl.soft04013L

ascl:1804.013
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