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Search for high-amplitude δ Scuti and RR Lyrae stars in Sloan Digital Sky Survey Stripe 82 using principal component analysis

Süveges, M. ; Sesar, B. ; Váradi, M. ; Mowlavi, N. ; Becker, A. C. ; Ivezić, Ž. ; Beck, M. ; Nienartowicz, K. ; Rimoldini, L. ; Dubath, P. ; Bartholdi, P. ; Eyer, L.

In: Monthly Notices of the Royal Astronomical Society, 2012, vol. 424, no. 4, p. 2528-2550

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    Titre
    • Search for high-amplitude δ Scuti and RR Lyrae stars in Sloan Digital Sky Survey Stripe 82 using principal component analysis
    Auteur
    • Süveges, M.. ISDC Data Centre for Astrophysics, University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland
    • Sesar, B.. Division of Physics, Mathematics and Astronomy, California Institute of Technology, Pasadena, CA 91125, USA
    • Váradi, M.. Department of Astronomy, University of Geneva, Chemin des Maillettes 51, CH-1290 Sauverny, Switzerland
    • Mowlavi, N.. ISDC Data Centre for Astrophysics, University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland
    • Becker, A. C.. Department of Astronomy, University of Washington, PO Box 351580, Seattle, WA 98195-1580, USA
    • Ivezić, Ž.. Department of Astronomy, University of Washington, PO Box 351580, Seattle, WA 98195-1580, USA
    • Beck, M.. ISDC Data Centre for Astrophysics, University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland
    • Nienartowicz, K.. ISDC Data Centre for Astrophysics, University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland
    • Rimoldini, L.. ISDC Data Centre for Astrophysics, University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland
    • Dubath, P.. ISDC Data Centre for Astrophysics, University of Geneva, Chemin d'Ecogia 16, CH-1290 Versoix, Switzerland
    • Bartholdi, P.. Department of Astronomy, University of Geneva, Chemin des Maillettes 51, CH-1290 Sauverny, Switzerland
    • Eyer, L.. Department of Astronomy, University of Geneva, Chemin des Maillettes 51, CH-1290 Sauverny, Switzerland
    Type de document
    • Postprint
    Langue
    • Anglais
    Publié dans
    • Monthly Notices of the Royal Astronomical Society, 2012, vol. 424, no. 4, p. 2528-2550. Wadsworth International Group
    Autre version électronique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:292297
    Summary
    We propose a robust principal component analysis framework for the exploitation of multiband photometric measurements in large surveys. Period search results are improved using the time-series of the first principal component due to its optimized signal-to-noise ratio. The presence of correlated excess variations in the multivariate time-series enables the detection of weaker variability. Furthermore, the direction of the largest variance differs for certain types of variable stars. This can be used as an efficient attribute for classification. The application of the method to a subsample of Sloan Digital Sky Survey Stripe 82 data yielded 132 high-amplitude δ Scuti variables. We also found 129 new RR Lyrae variables, complementary to the catalogue of Sesar et al., extending the halo area mapped by Stripe 82 RR Lyrae stars towards the Galactic bulge. The sample also comprises 25 multiperiodic or Blazhko RR Lyrae stars