Spectral classification of stars using synthetic model atmospheres

Physics

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Scientific paper

We devised a straightforward procedure to derive the atmospheric fundamental parameters of stars across the different MK spectral types by comparing mid-resolution spectroscopic observations with theoretical grids of synthetic spectra. The results of a preliminary experiment, by matching the Gunn & Stryker (1983) and Jacoby et al. (1984) spectrophotometric atlases with the Kurucz (1995) models, are briefly discussed. For stars in the A-K spectral range, effective temperature is obtained within a 1-2% relative uncertainty (at 2-sigma confidence level). This value raises to 4-5% for the hottest stars in the samples (O-B spectral types). A poorer fit is obtained throughout for stars cooler than 4000 K mainly due to the limiting input physics in the Kurucz models.

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