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          Institute: MPI für Astronomie     Collection: Publikationen_mpia     Display Documents



ID: 742473.0, MPI für Astronomie / Publikationen_mpia
Short time-scale variables in the Gaia era: detection and characterization by structure function analysis
Authors:Roelens, M.; Eyer, L.; Mowlavi, N.; Lecoeur-Taïbi, I.; Rimoldini, L.; Blanco-Cuaresma, S.; Palaversa, L.; Süveges, M.; Charnas, J.; Wevers, T.
Date of Publication (YYYY-MM-DD):2017
Title of Journal:Monthly Notices of the Royal Astronomical Society
Volume:472
Issue / Number:3
Start Page:3230
End Page:3245
Audience:Not Specified
Abstract / Description:We investigate the capabilities of the ESA Gaia mission for detecting and characterizing short time-scale variability, from tens of seconds to a dozen hours. We assess the efficiency of the variogram analysis, for both detecting short time-scale variability and estimating the underlying characteristic time-scales from Gaia photometry, through extensive light-curve simulations for various periodic and transient short time-scale variable types. We show that, with this approach, we can detect fast periodic variability, with amplitudes down to a few millimagnitudes, as well as some M dwarf flares and supernovae explosions, with limited contamination from longer time-scale variables or constant sources. Time-scale estimates from the variogram give valuable information on the rapidity of the underlying variation, which could complement time-scale estimates from other methods, like Fourier-based periodograms, and be reinvested in preparation of ground-based photometric follow-up of short time-scale candidates evidenced by Gaia. The next step will be to find new short time-scale variable candidates from real Gaia data, and to further characterize them using all the Gaia information, including colour and spectrum.
Free Keywords:methods: data analysis; methods: numerical; techniques: photometric; surveys; stars: variables: general
External Publication Status:published
Document Type:Article
Communicated by:N. N.
Affiliations:MPI für Astronomie
Identifiers:ISSN:0035-8711
URL:http://adsabs.harvard.edu/abs/2017MNRAS.472.3230R
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