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Title:
Automated extraction of oscillation parameters for Kepler observations of solar-type stars
Authors:
Huber, D.; Stello, D.; Bedding, T. R.; Chaplin, W. J.; Arentoft, T.; Quirion, P.-O.; Kjeldsen, H.
Publication:
Communications in Asteroseismology, Vol. 160, p. 74 (CoAst Homepage)
Publication Date:
10/2009
Origin:
AASP
Bibliographic Code:
2009CoAst.160...74H

Abstract

The recent launch of the Kepler space telescope brings the opportunity to study oscillations systematically in large numbers of solar-like stars. In the framework of the asteroFLAG project, we have developed an automated pipeline to estimate global oscillation parameters, such as the frequency of maximum power (νmax ) and the large frequency spacing (Δν), for a large number of time series. We present an effective method based on the autocorrelation function to find excess power and use a scaling relation to estimate granulation timescales as initial conditions for background modelling. We derive reliable uncertainties for νmax and Δν through extensive simulations. We have tested the pipeline on about 2000 simulated Kepler stars with magnitudes of V ˜ 7-12 and were able to correctly determine νmax and Δν for about half of the sample. For about 20%, the returned large frequency spacing is accurate enough to determine stellar radii to a 1% precision. We conclude that the methods presented here are a promising approach to process the large amount of data expected from Kepler.

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