Poster abstract details

Regions of p-mode power can be characterised by the self-repeating comb-like structure in a Fourier power spectrum. Using a moving-windowed autocorrelation technique applied to the acoustic power spectrum it is possible to automatically detect regions of maximum p-mode power, large and small separations and mean p-mode linewidths. With a sufficient signal-to-noise ratio, it is also possible to determine the variation in large and small separations with frequency, and the rotational splitting and inclination angle. This technique has been applied to high and low signal-to-noise data from the CoRoT spacecraft and tested successfully with artificial data to show that it provides a powerful method to detect p-mode parameters, particularly in low signal-to-noise data.