Magnitudes absolues des étoiles standards MK des types G à M à partir des parallaxes Hipparcos. The absolute magnitudes of the G to M type MK standards from the Hipparcos parallaxes

Astronomy and Astrophysics – Astrophysics

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Stars: Fundamental Parameters, Stars: Distances

Scientific paper

We analyse a sample of about 500 MK standards of cool spectral types (G to M) for to compare the visual absolute magnitudes obtained from both Hipparcos data and Schmidt-Kaler calibrations. Our purpose is to validate our spectroscopic work \cite[(Ginestet et al. 1997, 1999)]{G97} on stars with composite spectra with the help of Hipparcos data. Contrary to what is claimed in other papers, the absolute magnitude domain devoted to the giant stars does not overlap the domain of dwarfs. We find that the discrepancies between absolute magnitudes from Hipparcos data and absolute magnitudes deduced from Schmidt-Kaler calibrations increase with the relative error sigma (pi )/pi on the parallaxes. So, for sigma (pi )/pi <= 0.05 only 3% of the stars present a discrepancy of one luminosity class, while this percentage reaches 54% for 0.25 < sigma (pi )/pi <= 0.50. Curiously, the luminosity of the giants seems to increase with the distance of the stars, whereas the supergiants of the sample appear underluminous at least for d < 600 pc! We point out a list of 14 MK standards whose luminosity classes may be erroneous and need a new spectral classification, in the near infrared. The case of composite-spectrum binaries is also discussed. Most of these are too distant for accurate parallaxes even with Hipparcos: only sixteen stars have sigma (pi )/pi <= 0.10; for these, we give new spectral classifications in agreement with both our classifications in the near infrared of the cool components and Hipparcos data. Finally, for stars having high-precision parallaxes (sigma (pi )/pi <= 5%) there is no serious problem for Schmidt-Kaler calibrations whith respect to Hipparcos data. The data corresponding to parallaxes of lower precisions should be used with caution and only for statistical analyses.

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