Fusion Science and Technology / Volume 56 / Number 4 / November 2009 / Pages 1521-1528
Technical Paper / dx.doi.org/10.13182/FST09-A9255
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.