Astronomy and Astrophysics – Astronomy
Scientific paper
May 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009rmxac..35..164m&link_type=abstract
XII Latin American IAU Regional Meeting (Eds. G. Magris, G. Bruzual, & L. Carigi) Revista Mexicana de Astronomía y Astrofísica (
Astronomy and Astrophysics
Astronomy
1
Galaxies: Evolution
Scientific paper
The study of stellar populations has gained importance in the last years thanks to the availability of high quality spectra of a considerable number of galaxies (for example the Sloan Digital Sky Survey - SDSS). Extracting the greater amount of information from these spectra has been the objective of many investigations. In general, these methods are based on the principle that the spectrum of a galaxy can be represented as a linear combination of the spectra of the populations that compose it, each one with its corresponding age and chemical composition. Nevertheless, the components of this linear combination, that is the spectra of the stellar population represented as a vector in a N-dimensional space (elements of the basis), are almost parallel in spite of being linearly independent and this, combined with the uncertainties of the observed spectra causes that different star formation histories reproduce the same observed spectrum. The amount of information that can be extracted will essentially depend on the signal to noise ratio and wavelength interval of the observed spectrum. Until now the algorithms to recover the star formation history from observed spectra use a static basis with a number of elements between 8 and 125. When increasing the number of basis elements it certainly improves the fitting of the observed spectrum but also it increases the degeneration of the solution significantly, making very difficult the interpretation of the results. In this work we developed a new algorithm with a dynamical (not static) basis of only 2 elements which is used to recover both the coefficients of the linear combination and the age of the basis vectors. We made some simulations designed to test the algorithm obtaining excellent, high quality fittings with easy to interpret results and very well defined uncertainties.
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