Initial Estimates on the Performance of the $LSST$ on the Detection of Eclipsing Binaries

Abstract

In this work we quantify the performance of $LSST$ on the detection of eclipsing binaries. We use $Kepler$ observed binaries to create a large sample of simulated pseudo-$LSST$ binary light curves. From these light curves, we attempt to recover the known binary signal. The success rate of period recovery from the pseudo-$LSST$ light curves is indicative of $LSST$'s expected performance. Using an off-the-shelf Analysis of Variance (AoV) routine, we successfully recover 71% of the targets in our sample. We examine how the binary period impacts recovery success and see that for periods longer than 10~days the chance of successful binary recovery drops below 50%.

to be published in Publications of the Astronomical Society of the Pacific

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Cited by in corpus (4)

• Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)
• The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models
• Simulating Eclipsing Binary Yields of the Rubin Observatory in the Galactic Field and Star Clusters
• GRAPE: Genetic Routine for Astronomical Period Estimation