Investigating LSST's Sensitivity to Periodic Stellar Variability Using RR Lyrae Stars

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

We have investigated LSST's capability to recover RR Lyrae lightcurve periods, shapes and Fourier parameters as a function of apparent magnitude and LSST survey length. An LSST simulation tool was used to sample authentic ugriz RR Lyrae lightcurves as observed in Stripe 82 data from the Sloan Digital Sky Survey. A subset of 30 RRab and 10 RRc lightcurves, which fully sampled the template and period-amplitude space, was placed in 1007 locations on the sky to obtain a statistically relevant sample of the sky and LSST's observing cadences. The period and lightcurve recovery capability was investigated for LSST survey lengths of 1, 2, 5 and 10 years, and the simulation tool returned each lightcurve with realistic photometric errors based on historic seeing and weather data at the LSST site. A period was considered successfully determined if it was within 0.1% of the input value. We found that two years of data were sufficient to recover periods for 90% of RR Lyraes with mean g-magnitudes brighter than mag-24 in the deep survey data, while closer to six year of data were required for the main-survey fields to recover the periods at the same efficiency.

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