Physics – Nuclear Physics – Nuclear Theory
Scientific paper
2008-05-27
Phys.Rev.C77:065212,2008
Physics
Nuclear Physics
Nuclear Theory
12 pages, 10 figures, 3 tables. Minor corrections
Scientific paper
10.1103/PhysRevC.77.065212
We present an optimization scheme that employs a Genetic Algorithm (GA) to determine the properties of low-lying nucleon excitations within a realistic photo-pion production model based upon an effective Lagrangian. We show that with this modern optimization technique it is possible to reliably assess the parameters of the resonances and the associated error bars as well as to identify weaknesses in the models. To illustrate the problems the optimization process may encounter, we provide results obtained for the nucleon resonances $\Delta$(1230) and $\Delta$(1700). The former can be easily isolated and thus has been studied in depth, while the latter is not as well known experimentally.
de Guerra Moya E.
Fernandez-Ramirez C.
Udias Agustín
Udias J. M.
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