Publication

Three-Dimensional Imaging of a Radially Propagating Plasma Blob Using Conditional Sampling Techniques

Ambrogio Fasoli, Ivo Furno, Benoît Labit, Christian Gabriel Theiler
2011
Journal Articles

Abstract

We present 3-D imaging of plasma blobs, generated from ideal interchange turbulence in the TORPEX device, obtained by applying different conditional sampling techniques to electrostatic probe data. Time-evolving spatial profiles of electron density, temperature, and plasma potential can be reconstructed. Three-dimensional imaging is used to gain insight into the radial propagation of plasma blobs.

Official source

https://infoscience.epfl.ch/entities/publication/beeb42ab-5ea1-424d-9e26-0a436a84a0bd

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Ambrogio Fasoli, Ivo Furno, Benoît Labit, Christian Gabriel Theiler
2011
Journal Articles

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/beeb42ab-5ea1-424d-9e26-0a436a84a0bd

About this result

Related concepts (24)

Plasma (physics)

Plasma () is one of four fundamental states of matter, characterized by the presence of a significant portion of charged particles in any combination of ions or electrons. It is the most abundant form of ordinary matter in the universe, being mostly associated with stars, including the Sun. Extending to the rarefied intracluster medium and possibly to intergalactic regions, plasma can be artificially generated by heating a neutral gas or subjecting it to a strong electromagnetic field.

Double layer (plasma physics)

A double layer is a structure in a plasma consisting of two parallel layers of opposite electrical charge. The sheets of charge, which are not necessarily planar, produce localised excursions of electric potential, resulting in a relatively strong electric field between the layers and weaker but more extensive compensating fields outside, which restore the global potential. Ions and electrons within the double layer are accelerated, decelerated, or deflected by the electric field, depending on their direction of motion.

Gibbs sampling

In statistics, Gibbs sampling or a Gibbs sampler is a Markov chain Monte Carlo (MCMC) algorithm for obtaining a sequence of observations which are approximated from a specified multivariate probability distribution, when direct sampling is difficult. This sequence can be used to approximate the joint distribution (e.g., to generate a histogram of the distribution); to approximate the marginal distribution of one of the variables, or some subset of the variables (for example, the unknown parameters or latent variables); or to compute an integral (such as the expected value of one of the variables).

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Three-Dimensional Imaging of a Radially Propagating Plasma Blob Using Conditional Sampling Techniques

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