A power-spectrum autocorrelation technique to detect global asteroseismic parameters

Abstract

This article describes a moving-windowed autocorrelation technique which, when applied to an asteroseismic Fourier power spectrum, can be used to automatically detect the frequency of maximum p-mode power, large and small separations, mean p-mode linewidth, and constrain the stellar inclination angle and rotational splitting. The technique is illustrated using data from the CoRoT and Kepler space telescopes and tested using artificial data.

4 pages, Proceedings of the HELAS-IV International Conference, submitted to Astronomische Nachrichten (poster paper appearing on the CD in proceedings)

References in corpus (2)

• Determining global parameters of the oscillations of solar-like stars
• An automatic pipeline analysing solar-like oscillating targets tested on CoRoT and simulated data

Cited by in corpus (4)

• Testing Scaling Relations for Solar-Like Oscillations from the Main Sequence to Red Giants using Kepler Data
• Fundamental Properties of Kepler Planet-Candidate Host Stars using Asteroseismology
• Kepler-22b: A 2.4 Earth-radius Planet in the Habitable Zone of a Sun-like Star
• Constructing a one-solar-mass evolutionary sequence using asteroseismic data from \textit{Kepler}