Projects per year
Abstract
This paper presents a novel scheme to improve the statistics of simulated fast-ion loss signals and power loads to plasma-facing components in fusion devices. With the so-called backward Monte Carlo method, the probabilities of marker particles reaching a chosen target surface can be approximately traced from the target back into the plasma. Utilizing the probabilities as a priori information for the well-established Forward Monte Carlo method, statistics in fast-ion simulations are significantly improved. For testing purposes, the scheme has been implemented to the ASCOT suite of codes and applied to a realistic ASDEX upgrade configuration of beam-ion distributions
Original language | English |
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Article number | 026010 |
Number of pages | 12 |
Journal | Nuclear Fusion |
Volume | 62 |
Issue number | 2 |
DOIs | |
Publication status | Published - Jan 2022 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Monte Carlo
- backward Monte Carlo
- AUG
- fast-ion losses
- fast ions
- FILD
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Dive into the research topics of 'A backward Monte Carlo method for fast-ion-loss simulations'. Together they form a unique fingerprint.Projects
- 3 Finished
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Snicker Antti AT-palkka: Fast and furious of fusion plasmas
01/09/2019 → 30/04/2023
Project: Academy of Finland: Other research funding
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-: Structure-preserving Algorithms for Kinetic Simulations of Plasmas
01/09/2018 → 31/08/2023
Project: Academy of Finland: Other research funding
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Structure-preserving algorithms for kinetic simulations of plasmas
Hirvijoki, E., Sanchis, L. & Zonta, F.
01/09/2018 → 31/08/2021
Project: Academy of Finland: Other research funding