Category: Real-World Application
Plasma X-ray Spectra Analysis Using Genetic Algorithms

Igor E. Golovkin
Department of Physics
University of Nevada Reno
Reno, NV 89557
Roberto C. Mancini
Department of Physics
University of Nevada Reno
Reno, NV 89557
Sushil J. Louis
Department of Computer Science
University of Nevada Reno
Reno, NV 89557

Abstract:

X-ray spectroscopic analysis is a powerful tool for plasma diagnostics. We use genetic algorithms to automatically analyze experimental X-ray line spectra and discuss a particular implementation of the genetic algorithm suitable for our problem. Since spectroscopic analysis may be computationally intensive, we also investigate the use of case injected genetic algorithms for quicker analysis of several similar (time resolved) spectra. Preliminary results are promising and genetic algorithms seem to provide a reliable and robust approach for automated analysis of X-ray line spectra.