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A wavelet-based method to measure the toroidal mode number of ELMs

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European Fusion Development Agreement, JET Project (Including: Poli, F. M. (Francesca) and Sharapov, S. E. (Sergei E.)). (2009) A wavelet-based method to measure the toroidal mode number of ELMs. Journal of Plasma and Fusion Research Series, Vol.8 . pp. 399-403.

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Abstract

The high confinement mode regime (H-mode) in tokamaks is accompanied by the occurrence of burst of MHD activity at the plasma edge, so-called edge localized modes (ELMs). Because of the short time scales involved in the ELM crash (on JET typically 0.2 ms), standard Fourier analysis can hardly be used to extract their toroidal mode number. On the other hand, the assessment of linear stability of ELMs with the ion drift effects included, makes the identification of their toroidal mode numbers an important issue, while an accurate comparison with the theory of nonlinear evolution of ELMs requires the knowledge of the nonlinear spectrum. Compared to Fourier analysis, wavelets are suitable to study transient events on time scales comparable to the wave period. Spectral analysis based on sinusoidal wavelet functions has been applied to study the spectral properties of magnetic perturbations associated with ELMs and with their precursors, in JET plasmas with toroidal rotation driven by unbalanced NBI. It is shown that, combining wavelet analysis with statistical two-point correlation techniques, it is possible to get information on the toroidal mode number structure of magnetic perturbations during the phases that immediately precede the ELM and during the ELM crash itself.

Item Type: Journal Article
Alternative Title: A wavelet-based method to measure the toroidal mode number of edge localized modes
Subjects: Q Science > QC Physics
Divisions: Faculty of Science > Physics
Library of Congress Subject Headings (LCSH): Wavelets (Mathematics), Tokamaks, Toroidal magnetic circuits, Plasma confinement devices, Mathematical physics
Journal or Publication Title: Journal of Plasma and Fusion Research Series
Publisher: The Japan Society of Plasma Science and Nuclear Fusion Research
Date: 30 September 2009
Volume: Vol.8
Page Range: pp. 399-403
Status: Not Peer Reviewed
Access rights to Published version: Restricted or Subscription Access
Funder: Engineering and Physical Sciences Research Council (EPSRC)
References: [1] Perez C. P, Koslowski H. R, Huysmans G. T. A, et al, Nucl. Fusion, 44, 609 (2004). [2] Zohm M, Plasma Phys. Control. Fusion, 38, 105 (1996). [3] Kamiya K, Asakura N, Boedo J, et. al, Plasma Phys. Control. Fusion, 49, S43 (2007). [4] Connor J.W, Plasma Phys. Control. Fusion, 40, 191 (1998). Ibid, 40, 531 (1998) [5] G T A Huysmans, S E Sharapov, A B Mikhailovskii andW Kerner, Phys. Plasmas 8, 4292 (2001). [6] H.R.Wilson and S.C. Cowley, Phys. Rev. Lett. 92, 175006 (2004). [7] T Kass, S Günter et al, Nucl. Fusion, 38 111 (1998). [8] F M Poli, S E Sharapov, S C Chapman et al, Plasma Phys. Control. Fusion, 50 095009 (2008). [9] J. M. Beall, C. Kim, and E. J. Powers, J. Appl. Phys. 53, 3933 (1982). [10] M Keilhacker, Nucl. Fusion 39, 209 (1999). [11] R. F. Heeter, A. F. Fasoli, S. Ali-Arshad, and J. M. Moret, Rev. Sci. Instrum., 71 4092 (2000) [12] S Mallat, A wavelet tour of signal processing, chapter 4. Academic Press, Cambridge, (2001). [13] A I Eriksson, Spectral analysis, in Analysis Methods for Multi-Spacecraft Data, ISSI Scientific Report, G Paschmann and P W Daly (Eds), ISSI, Bern (1998) [14] C Torrence and G P Compo, Bulletin of the American Meteorological Society, 79 61 (1998) [15] R. Koslowski et al., Nucl. Fusion 45, 201 (2005). [16] T. Dudok de Wit, V V Krasnosel’skikh, et al, Geoph. Res. Lett. 22, 2653, 1995. [17] G T Huysmans et al, Proceedings of the 35th EPS Plasma Physics Conference, Hersonissos, Crete, Greece, (2008). [18] T Eich, A Herrmannm J Neuhauser et al, Plasma Phys. Control. Fusion 47 (2005) 815.
URI: http://wrap.warwick.ac.uk/id/eprint/2191

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