Adaptive {delta}f Monte Carlo Method for Simulation of RF-heating and Transport in Fusion Plasmas

Journal Article · Thu Nov 26 04:00:00 EST 2009 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.3273820· OSTI ID:21335796

Hoeoek, J; Hellsten, T ^[1]

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1. Fusion Plasma Physics, School of Electrical Engineering, Royal Institute of Technology (KTH), SE-100 44, Stockholm, Association VR-Euratom (Sweden)

Essential for modeling heating and transport of fusion plasma is determining the distribution function of the plasma species. Characteristic for RF-heating is creation of particle distributions with a high energy tail. In the high energy region the deviation from a Maxwellian distribution is large while in the low energy region the distribution is close to a Maxwellian due to the velocity dependency of the collision frequency. Because of geometry and orbit topology Monte Carlo methods are frequently used. To avoid simulating the thermal part, {delta}f methods are beneficial. Here we present a new {delta}f Monte Carlo method with an adaptive scheme for reducing the total variance and sources, suitable for calculating the distribution function for RF-heating.

• OSTI ID: 21335796
• Journal Information: AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1187; ISSN APCPCS; ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

70 PLASMA PHYSICS AND FUSION TECHNOLOGY
BOLTZMANN STATISTICS
COMPUTERIZED SIMULATION
DISTRIBUTION FUNCTIONS
FOKKER-PLANCK EQUATION
HIGH-FREQUENCY HEATING
MONTE CARLO METHOD
PLASMA
PLASMA SIMULATION
RF SYSTEMS