karl bühler digital

Home > Edited Book > Contribution

Publication details

Publisher: Springer

Place: Berlin

Year: 2002

Pages: 372-383

ISBN (Hardback): 9783540433385

Full citation:

Genta Ueno, Nagatomo Nakamura, Tomoyuki Higuchi, Tohru Araki, "Application of multivariate Maxwellian mixture model to plasma velocity distribution", in: Progress in discovery science, Berlin, Springer, 2002

Abstract

Recent space plasma observations have provided us with three-dimensional velocity distributions having multiple peaks. We propose a method for analyzing such velocity distributions via a multivariate Maxwellian mixture model where each component of the model represents each of the multiple peaks. The parameters of the model are determined through the Expectation-Maximization (EM) algorithm. For the automatic judgment of the preferable number of components in the mixture model, we introduce a method of examining the number of extrema of a resulting mixture model. We show applications of our method to velocity distributions observed in the Earth's magnetotail.

Publication details

Publisher: Springer

Place: Berlin

Year: 2002

Pages: 372-383

ISBN (Hardback): 9783540433385

Full citation:

Genta Ueno, Nagatomo Nakamura, Tomoyuki Higuchi, Tohru Araki, "Application of multivariate Maxwellian mixture model to plasma velocity distribution", in: Progress in discovery science, Berlin, Springer, 2002