Space Weather

VolterraNetworkMethod

Image Credit: Michael Taylor

An interesting problem in the field of space weather is how to model the impulse-response of the energetic particle flux in the Earth’s Van Allen radiation belts. I developed some NARMAX neural networks in collaboration with members of the Space Research & Technology Group (SRTG) at the Institute Astronomy, Astrophysics, Space Applications and Remote Sensing (IAASARS) of the National Observatory of Athens (NOA) to achieve this.

Peer-Reviewed Articles & Conference Papers:

  1. Taylor, M., Daglis, I.A., Anastasiadis, A., Vassiliadis, D. (2011) Volterra network modeling of the nonlinear finite-impulse response of the radiation belt flux. American Institute of Physics [Modern Challenges in Nonlinear Plasma Physics] 1320:221-226. doi:10.1063/1.3544328 [Poster]  [arXiv] [PDF]
  2. Taylor, M., Daglis, I.A., Anastasiadis, A., Vassiliadis, D. (2010) Identification of nonlinear space weather models of the Van Allen radiation belts using Volterra networks.Publications of the Astronomical Society of the Pacific [9th International Conference of the Hellenic Astronomical Society] 424:92-98. [Poster] [arXiv] [PDF] [link]

Conference Talks:

  1. Taylor, M. (2009) How well can machines be trained to predict space weather storms? ISARS-NOA Lecture Series National Observatory of Athens (Penteli), Athens, Greece [PPT]
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