Astronomy and Astrophysics – Astronomy
Scientific paper
Mar 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004mnras.348.1295b&link_type=abstract
Monthly Notices of the Royal Astronomical Society, Volume 348, Issue 4, pp. 1295-1300.
Astronomy and Astrophysics
Astronomy
6
Line: Profiles, Methods: Observational, Techniques: Spectroscopic, Stars: Imaging, Stars: Spots
Scientific paper
We demonstrate the use of singular value decomposition as a method for deconvolving high-resolution spectra of rapidly rotating stars. A convolution matrix can be built from the observed template spectrum of a slowly rotating star, with the same spectral type as the target. This can then be written in terms of a set of orthogonal basis vectors which can easily be inverted. The deconvolved stellar rotation profile or broadening function is thus similarly represented as a linear combination of basis vectors. By including only the required number of vectors and rejecting higher-order terms which only describe noise, we obtain a broadening function with greatly boosted signal-to-noise ratio as compared with a mean line in the target spectrum. The high signal-to-noise ratios allow localized line distortions due to starspots to be resolved. We describe the technique and demonstrate its application to the data sets of a rapidly rotating K3 and M1 dwarf.
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