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arXiv · 0705.1994

Testing the Accuracy of Synthetic Stellar Libraries

Abstract

In the present work we compare in detail some of the major theoretical libraries with observations, aiming at detecting weaknesses and strengths from the stellar population modelling point of view. We compared model predictions and observations for broad- band colours and for high resolution spectral features. Concerning the broad-band colours, we measured the stellar colour given by three recent sets of model atmospheres and flux distributions(Castelli & Kurucz 2003; Gustafsson et al. 2003; Brott & Hauschildt 2005), and compared them with a recent UBVRIJHK calibration (Worthey & Lee 2007). We found that the models can reproduce with reasonable accuracy the stellar colours for a fair interval in effective temperatures and gravities. The exceptions are: 1) the U-B colour, where the models are typically redder than the observations, and; 2) the very cool stars in general (V-K > ~3).Concerning the high resolution features, we measured 35 spectral indices defined in the literature on three high resolution synthetic libraries (Coelho et al. 2005; Martins et al. 2005; Munari et al. 2005), and compared them with the observed measurements given by three empirical libraries (Valdes et al.2004; Sanchez-Blazquez et al. 2006; Prugniel & Soubiran 2001). We found that the direct comparison between models and observations is not a simple task, given the uncertainties in parameter determinations of empirical libraries. Taking that aside, we found that in general the three libraries present similar behaviours and systematic deviations. For stars with Teff < 7000K, the library by Coelho et al. (2005) is the one with best average performance. We detect that lists of atomic and molecular line opacities still need improvement, specially in the blue region of thespectrum, and for the cool stars (Teff < ~4500K).

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Lucimara Martins, Paula Coelho. 2007-05-14. Testing the Accuracy of Synthetic Stellar Libraries. https://doi.org/10.1111/j.1365-2966.2007.11954.x

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