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Application of multivariate Maxwellian mixture model to plasma velocity distribution

Genta Ueno Nagatomo Nakamura Tomoyuki Higuchi Tohru Araki

pp. 372-383

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

Published in:

Arikawa Setsuo, Shinohara Ayumi (2002) Progress in discovery science: final report of the Japanese discovery science project. Dordrecht, Springer.

Pages: 372-383

DOI: 10.1007/3-540-45884-0_27

Full citation:

Ueno Genta, Nakamura Nagatomo, Higuchi Tomoyuki, Araki Tohru (2002) „Application of multivariate Maxwellian mixture model to plasma velocity distribution“, In: S. Arikawa & A. Shinohara (eds.), Progress in discovery science, Dordrecht, Springer, 372–383.