Genetic algorithms in spectroscopic diagnostics of hot dense plasmas

Abstract

This paper will present a novel genetic-algorithm-based code~GASPED!, developed for the analysis of fine features e.g., satellite structure and line shifts! in X-ray spectra emitted by hot dense plasmas. The problem dependent modification of standard genetic-algorithm concepts allows efficient decomposition of spectra in concrete physical terms, such as resonance and intercombination lines, dielectronic satellites, or prospective nuclear transitions. Two examples of the code application demonstrate the proposed approach. High resolution K-shell spectra emitted from Heand Li-like Al ions immersed in dense, constrained-flow plasma are decomposed into individual pseudo-Voigt components, by using anticipatory theoretical knowledge of the satellite structure simulated by the multilevel collisionalradiative code~MARIA!. Line shifts of the He-like resonance and intercombination line are deduced assuming the aggregate plasma-induced shifts of the parent lines and their satellites. The trend in the frequency shifts observed as a function of the variable plasma parameters qualitatively follows the theoretical predictions. The found variations of the exchange energy between the singlet and triplet levels provide a new impact for the line shift theories. The second example concerns the search for low-lying nuclear transitions in hot dense laser-produced plasmas. The spectra of highly ionized Ta are decomposed by combining the GASPED code with results of ab initio atomic data calculations performed by the RELAC code. Upper limits for observation of the controversial radiative decay of Ta nuclei at 6.238 eV are estimated.

Exotic x-ray emission from dense plasmas

“…The experimental data presented in figure 14 shows clearly that the satellite emission is even more intense that the He β line. The spectrum decomposition performed using a genetic algorithm (GA) code [41] complemented by an input from theoretical simulations depicted in figure 15 provides an excellent fit to the data.…”

Hybrid Fuzzy-Genetic Approach Integrating Peak Identification and Spectrum Fitting for Complex Gamma-Ray Spectra Analysis

“…The solutions are then evaluated using a fitness function that assigns a number to each solution [34]. Genetic algorithms have found use in various problems regarding radiation spectroscopy such as: analysis of gamma-ray spectra [6]- [9], analysis of coincidence spectra [35], decomposition of multiple hit events in gamma-ray tracking detectors [36], x-ray spectroscopy diagnostics for hot plasmas [37], and analysis of neutron spectra [38]. A generic block diagram of a genetic algorithm is presented in Fig.…”

X-ray Spectroscopy of Hot Dense Plasmas: Experimental Limits, Line Shifts & Field Effects

“…The composite profile shown in Fig. 4 was analyzed using a problem-dependent genetic algorithm code GASPED [12]. Repeated GASPED runs demonstrated that the whole spectrum can be well fitted by seven pseudo-Voigt profiles.…”