Multi-criteria search and optimization: an application to X-rayplasma spectroscopy

摘要

X-ray spectroscopy diagnostics have been widely used as a standardtechnique to determine the temperature and density of astrophysical andlaboratory plasmas. Traditional techniques have relied on performing aninteractive search with a graphical user interface to select theoreticalmodel parameters that best fit the data. We use a Pareto optimal geneticalgorithm to drive a search of model parameters that producehigh-quality simultaneous fits of spectra and spatially-resolvedemissivity profiles. Preliminary results indicate that our Paretooptimal genetic algorithm is able to quickly find physically meaningfulsolutions