IAFE   05512
INSTITUTO DE ASTRONOMIA Y FISICA DEL ESPACIO
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Calibration of Semi-Analytic Models of Galaxy Formation using Particle Swarm Optimization
Autor/es:
A. N. RUIZ; M. J. DOMÍNGUEZ; N. D. PADILLA; S. A. CORA; D. GARCÍA LAMBAS; T. E. TECCE; I. D. GARGIULO; A. M. MUÑOZ
Lugar:
Villa Carlos Paz, Córdoba
Reunión:
Congreso; 97 Reunión Anual de la Asociación Física Argentina; 2012
Institución organizadora:
Facultad de Matemática, Astronomía y Física de la Universidad Nacional de Córdoba
Resumen:
In this work we present an accurate and fast framework designed to select the optimal set of parameters in semi-analytic models (SAMs) of galaxy formation and evolution. This approach is based on the comparison of the results of a model against a set of observables and the application of improved stochastic techniques in the exploration of SAMs parameter space. We use the Particle Swarm Optimization (PSO) technique, a self-learning algorithm that surpasses the traditional Markov Chain Monte Carlo (MCMC) sampling methods in terms of computational cost for localizing minima in multi-dimensional spaces. We apply PSO technique to the SAG semi-analytic model combined with merger trees extracted from a standard LambdaCDM N-body simulation. From the set of model parameters present in the formulation of the baryonic processes followed in SAG, we select five for tuning and assign a fixed value to the rest. This new approach allows a fast estimation of the best fit parameter set in multi-dimensional spaces, providing a practical tool to follow the inclusion of new astrophysical processes in the galaxy formation model.