Methods for characterising microphysical processes in plasmas
Plasma Physics
2013-06-25 v1 Data Analysis, Statistics and Probability
Space Physics
Abstract
Advanced spectral and statistical data analysis techniques have greatly contributed to shaping our understanding of microphysical processes in plasmas. We review some of the main techniques that allow for characterising fluctuation phenomena in geospace and in laboratory plasma observations. Special emphasis is given to the commonalities between different disciplines, which have witnessed the development of similar tools, often with differing terminologies. The review is phrased in terms of few important concepts: self-similarity, deviation from self-similarity (i.e. intermittency and coherent structures), wave-turbulence, and anomalous transport.
Cite
@article{arxiv.1306.5303,
title = {Methods for characterising microphysical processes in plasmas},
author = {T. Dudok de Wit and O. Alexandrova and I. Furno and L. Sorriso-Valvo and G. Zimbardo},
journal= {arXiv preprint arXiv:1306.5303},
year = {2013}
}
Comments
Space Science Reviews (2013), in press