A Genetic Algorithm Analysis of N* Resonances in $p(\gamma,K^{+})\Lambda$ Reactions
Abstract
The problem of extracting information on new and known resonances by fitting isobar models to photonuclear data is addressed. A new fitting strategy, incorporating a genetic algorithm, is outlined. As an example, the method is applied to a typical tree-level analysis of published data. It is shown that, within the limitations of this tree-level analysis, a resonance in addition to the known set is required to obtain a reasonable fit. An additional resonance, with a mass of about 1.9 GeV, gives the best agreement with the published data, but additional or resonances cannot be ruled out. Our genetic algorithm method predicts that photon beam asymmetry and double polarization measurements should provide the most sensitive information with respect to missing resonances.
Keywords
Cite
@article{arxiv.nucl-th/0312103,
title = {A Genetic Algorithm Analysis of N* Resonances in $p(\gamma,K^{+})\Lambda$ Reactions},
author = {D. G. Ireland and S. Janssen and J. Ryckebusch},
journal= {arXiv preprint arXiv:nucl-th/0312103},
year = {2009}
}
Comments
34 pages, 11 figures; Revised version accepted for publication by Nuclear Physics A