Noise reduction in helioseismic power spectra by non-orthogonal wavelets

S. K. Solanki, C. Régulo, M. Fligge, A. G. Kosovichev

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We present a method to reduce noise in helioseismic power spectra using a non-orthogonal wavelet transform based on quadratic spline functions. The quality of our method is tested by applying it to artificially generated time-series approximating solar p-modes. The mode frequencies and line widths obtained from least-squares fits to be smoothed spectra are compared with the corresponding parameters deduced from maximum likelihoods fits to the original spectra. The results from both approaches are very similar and suggest that there is no major bias in either of these rather independent approaches. As a practical example we denoise parts of the power spectrum obtained from the two first years of operation of the GOLF instrument onboard SOHO.

Original languageEnglish (US)
Pages (from-to)1039-1044
Number of pages6
JournalAstronomy and Astrophysics
Volume379
Issue number3
DOIs
StatePublished - Dec 2001
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics
  • Space and Planetary Science

Keywords

  • Methods: data analysis
  • Methods: statistical
  • Sun: oscillations

Fingerprint Dive into the research topics of 'Noise reduction in helioseismic power spectra by non-orthogonal wavelets'. Together they form a unique fingerprint.

Cite this