Deconvolution of high-resolution spectra as a signal-to-noise ratio enhancement method

J R Barnes

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)1295-1300
    Number of pages6
    JournalMonthly Notices of the Royal Astronomical Society
    Issue number4
    Publication statusPublished - 11 Mar 2004


    • line : profiles
    • methods : observational
    • techniques : spectroscopic
    • stars : imaging
    • stars : spots
    • DWARFS
    • STARS
    • UMA


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