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)

Abstract

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
Volume348
DOIs
Publication statusPublished - 11 Mar 2004

Keywords

  • line : profiles
  • methods : observational
  • techniques : spectroscopic
  • stars : imaging
  • stars : spots
  • LINE BROADENING FUNCTIONS
  • DIFFERENTIAL ROTATION
  • BINARIES
  • DWARFS
  • STARS
  • UMA

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