Statistics – Methodology
Scientific paper
Jan 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001esasp.464..511e&link_type=abstract
In: Proceedings of the SOHO 10/GONG 2000 Workshop: Helio- and asteroseismology at the dawn of the millennium, 2-6 October 2000,
Statistics
Methodology
Oscillations, Data Analysis, Inversions
Scientific paper
Recent data colleted by the helioseismic experiments aboard SOHO have allowed the detection of low degree p-modes with lower and lower order, n. In particular, the GOLF experiment is currently able to identify unambiguously modes as low as n = 8 for l = 0, and l = 1 (e.g., ≍1.3 mHz). To detect p-modes with lower n (hence lower frequeny), where the signal-to-noise ratio gets small, one needs some guidance. Several groups use theoretical predictions from a standard solar model as a guide. But using theoretical predictions has the potential to bias the mode identification and in turn produce modes that confirm the features of the model rather than the properties of the actual sun. To alleviate this, we propose an alternative methodology based on peak fitting techniques and helioseismic data inversion procedures. This method allow us to reject many peaks from the spectrum by using the prediction capability of the inversion. We describe the method and show resuls from its application to current GOLF spectra.
Eff-Darwich Antonio
Korzennik Sylvain G.
Pallé Pere Lluis
Regulo Clara
Roca Cortes Teodora
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