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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
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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)
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Conference Information
Committee IBISML  
Conference Date 2022-03-08 - 2022-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (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) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) --- 
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Keyword(1) Bayesian inference  
Keyword(2) velocity distribution function  
Keyword(3) magnetized plasmas  
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1st Author's Name Satoru Tokuda  
1st Author's Affiliation 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
Date of Issue 2022-03-01 (IBISML) 


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