Published 2011 | Version v1
Miscellaneous

Automatic video tracking of dust particles in plasmas

  • 1. Institut Jean Lamour, UMR 7198 CNRS, Departement CP2S, Nancy (France)
  • 2. INRIA, Sophia Antipolis (France)
  • 3. SCK CEN, Mol (Belgium)

Description

Dust particles are present in almost all plasmas used for practical purposes, both technological and hot fusion ones. In most cases their presence is a limiting factor. In this contribution, we present recent progresses obtained in the automatic detection and trajectory reconstruction of plasma dust. An algorithm has been developed, which makes it possible to automatically extract trajectories of a large number of particles from fast imaging data, allowing a statistical analysis of particle trajectories under various plasma conditions, a better comprehension of their influence on plasma properties, and a better characterization of the plasma itself. In this contribution, we focus on results obtained in a radiofrequency parallel plate reactor, where large amount of micron-sized carbon dust is produced in situ by injecting acetylene in argon plasma. Different strategies of particle detection and tracking are presented, and their application to other kind of plasma, and especially fusion plasmas, is discussed. This document is composed of an abstract followed by the slides of the presentation. (authors)

Part of:
International Conference on Plasma Diagnostics. Slides, papers and posters of Plasma Diagnostics 2010

Additional details

Publishing Information

Imprint Title
International Conference on Plasma Diagnostics. Slides, papers and posters of Plasma Diagnostics 2010
Imprint Pagination
1197 p.
Journal Page Range
p. 728-747
Report number
INIS-FR--12-0480

Conference

Title
International Conference on Plasma Diagnostics
Dates
12-16 Apr 2010
Place
Pont-a-Mousson (France)

INIS

Country of Publication
France
Country of Input or Organization
France
INIS RN
43041297
Subject category
S70: PLASMA PHYSICS AND FUSION TECHNOLOGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
FEASIBILITY STUDIES; IMAGE PROCESSING; PARTICLE INFLUX; PARTICLE TRACKS; PATTERN RECOGNITION; PLASMA DIAGNOSTICS; PLASMA IMPURITIES
Descriptors DEC
IMPURITIES; PROCESSING

Optional Information

Notes
3 refs.; available from the INIS Liaison Officer for France, see the 'INIS contacts' section of the INIS website for current contact and E-mail addresses: http://www.iaea.org/INIS/INIS-contacts/