Particle Swarm Optimization (PSO) en modelos semi-analíticos de formación de galaxias

RUIZ, ANDRÉS N.; DOMINGUEZ, M. J; PADILLA, NELSON D.; CORA, SOFÍA A.; GARCÍA LAMBAS, DIEGO; TECCE, T.E.; GARGIULO, IGNACIO D.; MUÑOZ ARANCIBIA, ALEJANDRA M.

Mar del Plata

Workshop; 55ª Reunión Anual de la Asociación Argentina de Astronomía; 2012

We present preliminary results of calibrations of a semi-analytic galaxy formation model performed using the Particle Swarm Optimization (PSO) technique. This method involves the exploration of the parameter space by random walks of a set of ``particles´´ that share information between them. Thus, comparing the model results against a set of observables (e.g. luminosity functions, the relation between black hole mass and bulge mass, morphological fractions), the PSO method yields a set of best-fitting values for the free parameters of the model. FULL TEXT IN SPANISH