2002/05/26 by Y. K. Ng, E. Brogt, Erik Brogt +2
Mathematics · Physics and Astronomy · #A priori and a posteriori #Algorithm #Artificial intelligence #Astronomy and Astrophysical Research #Astrophysics #Astrophysics and Star Formation Studies #Computer science #Computer vision #Exponential function #Mathematics #Metallicity #Physics #Population #Rendering (computer graphics) #Star formation #Stars #Stellar population #Stellar, planetary, and galactic studies #astro-ph
paper · pdf · doi:10.1051/0004-6361:20020760
26 pages LaTeX, 7 figures, 11 tables, to appear in A&A
arxiv created 2002/05/26 · openalex publication_date 2002/09/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
A new method, AMORE – based on a genetic algorithm optimizer, is presented for the automated study of colour-magnitude diagrams. The method combines several stellar population synthesis tools developed in the last decade by or in collaboration with the Padova group. Our method is able to recover, within the uncertainties, the parameters – distance, extinction, age, metallicity, index of a power-law initial mass function and the index of an exponential star formation rate – from a reference synthetic stellar population. No a priori information is inserted to recover the parameters, which is done simultaneously and not one at a time. Examples are given to demonstrate and to better understand biases in the results, if one of the input parameters is deliberately set fixed to a non-optimum value.