Astronomy and Astrophysics · 2002 · 19 citations · 37 references
Natural SciencesAstronomyAstrophysicsStar FormationStellar AstronomyAstrophysical SimulationsComputational AstrophysicsNumerical AstrophysicsStellar EvolutionStellar ObservationsStellar PopulationsBiasesCatalog BiasesGenetic Algorithm OptimizationGenetic Algorithm Parameter TuningPower-law Initial Mass FunctionStar Formation Rate FunctionsStellar Evolution ModelingStellar Population Synthesis
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.
37
The interstellar extinction law from 1 to 13 microns
G. H. Rieke, M. J. Lebofsky · The Astrophysical Journal · 1985 · 2.4K citations
Natural Sciences, Astronomy, Physics +14
GAIA: Composition, formation and evolution of the Galaxy
M. A. C. Perryman, K. S. de Boer, G. Gilmore et al. · Astronomy and Astrophysics · 2001 · 1.1K citations · Full text
Natural Sciences, Astronomy, Physics +17