The true stellar parameters of the Kepler target list
Using population synthesis tools we create a synthetic Kepler Input Catalogue (KIC) and subject it to the Kepler Stellar Classification Program (SCP) method for determining stellar parameters such as the effective temperature T eff and surface gravity g. We achieve a satisfactory match between the s...
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Published in | Monthly notices of the Royal Astronomical Society Vol. 433; no. 2; pp. 1133 - 1145 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
London
Oxford University Press
01.08.2013
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Subjects | |
Online Access | Get full text |
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Summary: | Using population synthesis tools we create a synthetic Kepler Input Catalogue (KIC) and subject it to the Kepler Stellar Classification Program (SCP) method for determining stellar parameters such as the effective temperature T
eff and surface gravity g. We achieve a satisfactory match between the synthetic KIC and the real KIC in the log g versus log T
eff diagram, while there is a significant difference between the actual physical stellar parameters and those derived by the SCP of the stars in the synthetic sample. We find a median difference ΔT
eff = +500 K and ∼Δlog g = −0.2 dex for main-sequence (MS) stars, and ∼ΔT
eff = +50 K and Δlog g = −0.5 dex for giants, although there is a large variation across parameter space. For a MS star the median difference in g would equate to a ∼3 per cent increase in stellar radius and a consequent ∼3 per cent overestimate of the radius for any transiting exoplanet. We find no significant difference between ΔT
eff and Δlog g for single stars and the primary star in a binary system. We also re-created the Kepler target selection method and found that the binary fraction is unchanged by the target selection. Binaries are selected in similar proportions to single star systems; the fraction of MS dwarfs in the sample increases from about 75 to 80 per cent, and the giant star fraction decreases from 25 to 20 per cent. |
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Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 |
ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1093/mnras/stt795 |