Published November 1, 2019 | Version v1
Journal article

Pitch-angle diffusion coefficients in test particle simulations and the estimation of the particle parallel mean free path

  • 1. Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800 (Thailand)

Description

The transport of energetic charged particles in turbulent magnetic fields is a topic of interest in various astrophysical contexts. In order to estimate the mean free path of a particle in the direction parallel to the mean magnetic field, one can use theoretical expressions that employ pitch-angle diffusion coefficients. In this work we review some of the methods used in estimating pitch-angle diffusion coefficients from test particle computer simulations. We examine if these methods and theoretical approaches are able to provide consistent estimates of the parallel mean free path, that can also be obtained directly from computer simulations. We perform test particle simulations for synthetic turbulence models over a range of turbulence parameters and particle energies. From the trajectories of test particles, pitch-angle distribution functions and statistics of pitch-angle displacements are obtained, which are then used to estimate the pitch-angle diffusion coefficients. We find that a method using the pitch-angle flux and derivative of the pitch-angle distribution is able to provide accurate values for the parallel mean free path over the range of parameters considered. Other methods considered are accurate only for a limited range of the turbulent fluctuation strength, or must be evaluated at a specific time to provide a reasonable estimate. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/1380/1/012141

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
1380
Journal Issue
1
Journal Page Range
[5 p.]
ISSN
1742-6596

Conference

Title
Siam Physics Congress 2019 on Physics Beyond Disruption Society
Acronym
SPC2019
Dates
6-7 Jun 2019
Place
Songkhla (Thailand)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53063115
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ASTROPHYSICS; CHARGED PARTICLES; COMPUTERIZED SIMULATION; DISTRIBUTION FUNCTIONS; MAGNETIC FIELDS; MEAN FREE PATH; TEST PARTICLES; TURBULENCE
Descriptors DEC
FUNCTIONS; PHYSICS; SIMULATION