Stochastic modelling of blob-like plasma filaments in the scrape-off layer: Theoretical foundation

TL;DR

This paper develops a stochastic model for plasma filaments in the scrape-off layer, explaining their statistical properties and relation to observed plasma behavior.

Contribution

It introduces a novel stochastic framework for modeling blob-like plasma filaments with random parameters, linking statistical features to plasma fluctuations.

Findings

Describes particle density and fluctuation statistics in plasma boundary regions.

Provides analytical expressions for moments and correlation functions.

Explains the origin of intermittent plasma fluctuations.

Abstract

A stochastic model is presented for a super-position of uncorrelated pulses with a random distribution of amplitudes, sizes, velocities and arrival times. The pulses are assumed to move radially with fixed shape and amplitudes decaying exponentially in time due to linear damping. The pulse velocities are taken to be time-independent but randomly distributed. The implications of a distribution of and correlations between pulse sizes, velocities and amplitudes are investigated. Expressions for the lowest order statistical moments, probability density functions and correlation functions for the process are derived for the case of exponential pulses and a discrete uniform distribution of pulse velocities. The results describe many features of high average particle densities, broad and flat average radial profiles, and large-amplitude, intermittent fluctuations at the boundary region of magnetically confined plasmas. The stochastic model elucidates how these phenomena are related to the statistics of blob-like structures.