2000
DOI: 10.1007/s12043-000-0039-8
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Mirnov coil data analysis for tokamak ADITYA

Abstract: The spatial and temporal structures of magnetic signal in the tokamak ADITYA is analysed using recently developed singular value decomposition (SVD) technique. The analysis technique is first tested with simulated data and then applied to the ADITYA Mirnov coil data to determine the structure of current peturbation as the discharge progresses. It is observed that during the current rise phase, current perturbation undergoes transition fromÑ poloidal structure to Ñ and then to Ñ ¿ . At the time of current termi… Show more

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Cited by 28 publications
(21 citation statements)
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“…C +4 ) impu rity is measured by the multichannel spectrometer [34] in the range of r/a = 0.65-1. The m/n = 2/1 TM is measured by poloidal and toroidal Mirnov arrays and identified from the temporal evolution of the Mirnov signals using singular value decomposition (SVD) technique [35]. The locked mode detectors consist of two sets of saddle loops.…”
Section: Methodsmentioning
confidence: 99%
“…C +4 ) impu rity is measured by the multichannel spectrometer [34] in the range of r/a = 0.65-1. The m/n = 2/1 TM is measured by poloidal and toroidal Mirnov arrays and identified from the temporal evolution of the Mirnov signals using singular value decomposition (SVD) technique [35]. The locked mode detectors consist of two sets of saddle loops.…”
Section: Methodsmentioning
confidence: 99%
“…The schematic of the LVF application is shown in figure1.The main set of diagnostics used in these experiments includes external magnetic sensors to measure loop voltage (V loop ), plasma current (I P ) and plasma position. The MHD oscillations are measured by a garland of 16 Mirnov coils distributed at equal angular separations in the poloidal direction at a single toroidal location[24]. Eight-channel microwave interferometer is used for line average electron density (n e ) measurements.…”
mentioning
confidence: 99%
“…In the above expression, V is M×N orthonormal matrix (M being the channels and N data points), U is an M×M orthonormal matrix and S, is an M×M diagonal matrix. [5][6][7][8] Matlab was employed to run the relevant algorithm and the SVD and polar graphs are presented in the last section.…”
Section: Singular Value Decomposition (Svd)mentioning
confidence: 99%