Characterizing magnetic reconnection regions using Gaussian mixture models on particle velocity distributions

Abstract

We present a method based on unsupervised machine learning to identify regions of interest using particle velocity distributions as a signature pattern. An automatic density estimation technique is applied to particle distributions provided by PIC simulations to study magnetic reconnection. The key components of the method involve: i) a Gaussian mixture model determining the presence of a given number of subpopulations within an overall population, and ii) a model selection technique with Bayesian Information Criterion to estimate the appropriate number of subpopulations. Thus, this method identifies automatically the presence of complex distributions, such as beams or other non-Maxwellian features, and can be used as a detection algorithm able to identify reconnection regions. The approach is demonstrated for specific double Harris sheet simulations but it can in principle be applied to any other type of simulation and observational data on the particle distribution function.

20 pages, 8 figures

References in corpus (12)

• Kappa distributions: theory and applications in space plasmas
• New Measure of the Dissipation Region in Collisionless Magnetic Reconnection
• Generalized Squashing Factors for Covariant Description of Magnetic Connectivity in the Solar Corona
• Quantifying Gyrotropy in Magnetic Reconnection
• Magnetosperic Multiscale (MMS) observation of plasma velocity-space cascade: Hermite representation and theory
• Spacecraft observations and analytic theory of crescent-shaped electron distributions in asymmetric magnetic reconnection
• Magnetohydrodynamic evolution of magnetic skeletons
• Fluidization of collisionless plasma turbulence
• On the origin of the crescent-shaped distributions observed by MMS at the magnetopause
• Reconnection and electron temperature anisotropy in sub-proton scale plasma turbulence
• Viriato: a Fourier-Hermite spectral code for strongly magnetised fluid-kinetic plasma dynamics
• On the Electron Agyrotropy during Rapid Asymmetric Magnetic Island Coalescence in Presence of a Guide Field

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