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Use of the Genetic Algorithm for Analyzing the Charge-Exchange Recombination Spectroscopy Measurements on the Tore Supra Tokamak

D. L. Yu, S. Hacquin, C. Fenzi, P. Lotte

Fusion Science and Technology / Volume 56 / Number 4 / November 2009 / Pages 1521-1528

Technical Paper /

A genetic algorithm (GA)-based method has been developed to analyze Charge-eXchange Recombination Spectroscopy (CXRS) data and provide in-between shot evaluation of the ion temperature profile during Tore Supra experiments. The GA method proposed here proves to be fast and fairly accurate, even when analyzing low signal-to-noise data. Simulations using theoretical signals suggest that the ion temperature and the plasma rotation velocity are expected to be determined with a precision better than 10% for a noise level up to 5% of the spectrum peak. The good agreement with the commonly used KS4FIT code when analyzing CXRS experimental data - typically within 30% for ion temperature measurements - confirms the efficiency of such an analysis tool.

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