Effects of a gap-filling method on p-mode parameters

Astronomy and Astrophysics – Astronomy

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Methods: Numerical, Sun: Oscillations

Scientific paper

The quality of helioseismological ground-based data strongly depends on the presence of a gap in the observational window. In order to address that problem in the case of full-disc low-degree p-mode velocity measurements, Fossat et al. proposed a gap-filling method called `Repetitive music'. The autocorrelation function of the velocity signal shows a correlation of more than 70 per cent at about 4h because of the quasi-periodicity of p-mode peaks in the Fourier spectrum. The method then consists of filling gaps of the velocity signal with data, when they exist, located 4h before or after. By using Monte Carlo simulations, we assess the effects of the gap-filling method on p-mode parameters and their errors. A way to remove the modulation in the power spectrum resulting from the gap-filling method is proposed; its effects on p-mode frequencies, linewidths, amplitudes and asymmetries are discussed as a function of frequency and signal-to-noise ratio.

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