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oai:docta.ucm.es:20.500.14352/513382024-09-03T14:58:55Zcom_20.500.14352_14col_20.500.14352_15

00925njm 22002777a 4500 dc Cardiel López, Nicolás author Gorgas García, Francisco Javier author Sánchez Blázquez, Patricia author Cenarro, A. J. author Pedraz, S. author Bruzual, G. author Klement, J. author 2003-10 It is well known that, when analyzed in the light of current synthesis model predictions, variations in the physical properties of single stellar populations (e.g. age, metallicity, initial mass function, element abundance ratios) may have a similar effect in their integrated spectral energy distributions. The confusion is even worsened when more realistic scenarios, i.e. composite star formation histories, are considered. This is, in fact, one of the major problems when facing the study of stellar populations in star clusters and galaxies. Typically, the observational efforts have aimed to find the most appropriate spectroscopic indicators in order to avoid, as far as possible, degeneracies in the parameter space. However, from a practical point of view, the most suited observables are not, necessarily, those that provide more orthogonality in that parameter space, but those that give the best balance between parameter degeneracy and sensitivity to signal-to-noise ratio per Angstrom, S/N(Angstrom). In order to achieve the minimum combined total error in the derived physical parameters, this work discusses how the functional dependence of typical line-strength indices and colors on S/N(Angstrom) allows to define a suitability parameter which helps to obtain more realistic combinations of spectroscopic data. As an example, we discuss in more detail the problem of breaking the well known age-metallicity degeneracy in relatively old stellar populations, comparing the suitability of different spectroscopic diagrams for a simple stellar population of solar metallicity and of 12 Gyr in age. 0004-6361 10.1051/0004-6361:20031096 https://hdl.handle.net/20.500.14352/51338 http://dx.doi.org/10.1051/0004-6361:20031096 http://www.aanda.org/ Using spectroscopic data to disentangle stellar population properties