The Hamiltonian Mechanics of Stochastic Acceleration
Abstract
We show how to nd the physical Langevin equation describing the trajectories of particles un- dergoing collisionless stochastic acceleration. These stochastic di erential equations retain not only one-, but two-particle statistics, and inherit the Hamiltonian nature of the underlying microscopic equations. This opens the door to using stochastic variational integrators to perform simulations of stochastic interactions such as Fermi acceleration. We illustrate the theory by applying it to two example problems.
- Authors:
- Publication Date:
- Research Org.:
- Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1087712
- Report Number(s):
- PPPL-4932
- DOE Contract Number:
- DE-ACO2-09CH11466
- Resource Type:
- Technical Report
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 70 PLASMA PHYSICS AND FUSION TECHNOLOGY; Differential, Distribution Functions, Hamiltonian
Citation Formats
Burby, J. W. The Hamiltonian Mechanics of Stochastic Acceleration. United States: N. p., 2013.
Web. doi:10.2172/1087712.
Burby, J. W. The Hamiltonian Mechanics of Stochastic Acceleration. United States. https://doi.org/10.2172/1087712
Burby, J. W. 2013.
"The Hamiltonian Mechanics of Stochastic Acceleration". United States. https://doi.org/10.2172/1087712. https://www.osti.gov/servlets/purl/1087712.
@article{osti_1087712,
title = {The Hamiltonian Mechanics of Stochastic Acceleration},
author = {Burby, J. W.},
abstractNote = {We show how to nd the physical Langevin equation describing the trajectories of particles un- dergoing collisionless stochastic acceleration. These stochastic di erential equations retain not only one-, but two-particle statistics, and inherit the Hamiltonian nature of the underlying microscopic equations. This opens the door to using stochastic variational integrators to perform simulations of stochastic interactions such as Fermi acceleration. We illustrate the theory by applying it to two example problems.},
doi = {10.2172/1087712},
url = {https://www.osti.gov/biblio/1087712},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jul 17 00:00:00 EDT 2013},
month = {Wed Jul 17 00:00:00 EDT 2013}
}
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