Paper Abstract and Keywords |
Presentation |
2022-03-09 09:40
[Invited Talk]
--- Satoru Tokuda (Kyushu Univ.) IBISML2021-40 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Plasma is the fourth state of matter, in which individual electrons and ions move around at various speeds. The velocity distribution function is a statistical description that connects particle kinetics and macroscopic parameters in many-body systems. The Maxwellian distribution is the most fundamental velocity distribution function, which holds in thermodynamic equilibrium states. However, it does not necessarily hold for magnetized plasmas, often in non-equilibrium states. The velocity distribution function takes various forms depending on the essential physics in the system of interest. Here, we propose a novel approach to select the valid form of the velocity distribution function based on Bayesian statistics. We formulate the Bayesian inference of ion velocity distribution function and apply it to laser-induced fluorescence spectra in a magnetized plasma. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Bayesian inference / velocity distribution function / magnetized plasmas / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 419, IBISML2021-40, pp. 33-33, March 2022. |
Paper # |
IBISML2021-40 |
Date of Issue |
2022-03-01 (IBISML) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
IBISML2021-40 |
Conference Information |
Committee |
IBISML |
Conference Date |
2022-03-08 - 2022-03-09 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
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(See Japanese page) |
Topics (in English) |
Machine Learning, etc. |
Paper Information |
Registration To |
IBISML |
Conference Code |
2022-03-IBISML |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
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Bayesian inference |
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velocity distribution function |
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magnetized plasmas |
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Satoru Tokuda |
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Kyushu University (Kyushu Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-03-09 09:40:00 |
Presentation Time |
35 minutes |
Registration for |
IBISML |
Paper # |
IBISML2021-40 |
Volume (vol) |
vol.121 |
Number (no) |
no.419 |
Page |
p.33 |
#Pages |
1 |
Date of Issue |
2022-03-01 (IBISML) |
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