Publicación: Properties of Nucleon Resonances by Means of a Genetic Algorithm
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2008-06-24
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info:eu-repo/semantics/openAccess
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American Physical Society
Resumen
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 𝛥(1230) and 𝛥(1700). The former can be easily isolated and thus has been studied in depth, while the latter is not as well known experimentally.
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This is an Accepted Manuscript of an article published by American Physical Society in "Physical Review C 77 (6)", available at: https://doi.org/10.1103/PhysRevC.77.065212
Este es el manuscrito aceptado del artículo publicado por American Physical Society en "Physical Review C 77 (6)", disponible en línea: https://doi.org/10.1103/PhysRevC.77.065212
Este es el manuscrito aceptado del artículo publicado por American Physical Society en "Physical Review C 77 (6)", disponible en línea: https://doi.org/10.1103/PhysRevC.77.065212
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Fernández-Ramírez, C., de Guerra, E. M., Udías, A., & Udías, J. M. (2008, June 24). Properties of nucleon resonances by means of a genetic algorithm. Physical Review C. American Physical Society (APS). http://doi.org/10.1103/physrevc.77.065212
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Facultades y escuelas::Facultad de Ciencias
Departamento
Física Interdisciplinar