Calibration of semi-analytic models of galaxy formation using particle swarm optimization

We present a fast and accurate method to select an optimal set of parameters in semi-analytic models of galaxy formation and evolution (SAMs). Our approach compares the results of a model against a set of observables applying a stochastic technique called Particle Swarm Optimization (PSO), a self-le...

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Detalles Bibliográficos
Autores principales: Ruiz, Andrés N., Cora, Sofía Alejandra, Padilla, Nelson D., Domínguez, Mariano J., Vega Martínez, Cristian Antonio, Tecce, Tomás E., Orsi, Álvaro, Yaryura, Yamila, García Lambas, Diego, Gargiulo, Ignacio Daniel, Muñoz Arancibia, Alejandra M.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2015
Materias:
Ciencias Astronómicas
galaxies: evolution
galaxies: formation
methods: numerical
methods: statistical
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/85874
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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