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Separation of Photoelectrons via Multivariate Maxwellian Mixture Model

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2226))

Abstract

Electron velocity distribution obtained by direct spacecraft observation in space is contaminated by photoelectrons. The photoelectrons are generated due to the solar ultraviolet ray, and are regarded as artificial noise from a viewpoint of scientific research. We propose a method for separating photoelectron component from ambient electron component. Our method uses multivariate normal mixture model, whose parameters are determined via the Expectation-Maximization (EM) algorithm. Initial parameters of the EM algorithm are computed through the classification of the velocity space by a spherical surface of some arbitrary radius.

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References

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  7. Ueno, G., Nakamura, N., Higuchi, T., Tsuchiya, T., Machida, S., Araki, T., Saito, Y., Mukai, T.: Application of Multivariate Maxwellian Mixture Model to Plasma Velocity Distribution Function. to appear in J. Geophys. Res. (2001)

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© 2001 Springer-Verlag Berlin Heidelberg

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Ueno, G., Nakamura, N., Higuchi, T. (2001). Separation of Photoelectrons via Multivariate Maxwellian Mixture Model. In: Jantke, K.P., Shinohara, A. (eds) Discovery Science. DS 2001. Lecture Notes in Computer Science(), vol 2226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45650-3_43

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  • DOI: https://doi.org/10.1007/3-540-45650-3_43

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42956-2

  • Online ISBN: 978-3-540-45650-6

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