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Published August 2020 | Published + Accepted Version
Journal Article Open

A Catalog of Short Period Spectroscopic and Eclipsing Binaries Identified from the LAMOST and PTF Surveys

Abstract

Binaries play key roles in determining stellar parameters and exploring stellar evolution models. We build a catalog of 88 eclipsing binaries with spectroscopic information, taking advantage of observations from both the Large Sky Area Multi-Object fiber Spectroscopic Telescope and the Palomar Transient Factory surveys. A software pipeline is constructed to identify binary candidates by examining their light curves. The orbital periods of binaries are derived from the Lomb–Scargle method. The key distinguishing features of eclipsing binaries are recognized by a new filter, Flat Test. We classify the eclipsing binaries by applying a Fourier analysis on the light curves. Among all the binary stars, 13 binaries are identified as eclipsing binaries for the first time. The catalog contains the following information: the position, primary eclipsing magnitude and time, eclipsing depth, the number of photometry and radial velocity observations, largest radial velocity difference, binary type, the effective temperature of the observable star T eff, and surface gravity of the observable star log g. The false-positive probability is calculated by using both a Monte Carlo simulation and real data from the Sloan Digital Sky Survey Stripe 82 Standard Catalog. The binaries in the catalog are mostly with a period of less than one day. The period distribution shows a 0.22 day cutoff, which is consistent with the low probability of an eclipsing binary rotating with such a period.

Additional Information

© 2020. The American Astronomical Society. Received 2019 September 9; revised 2020 June 1; accepted 2020 June 4; published 2020 August 7. We wish to thank the referee for their most useful comments that have greatly improved the paper. This work made use of astroML8 and IPAC database for PTF.9 We acknowledge the use of LAMOST data and the catalog. We would like to thank Lin He and Chang-Qing Luo for the useful discussion. We also thank Weiming Gu for the feedback on the work. F.Y. and J.F.L. acknowledge funding from National Natural Science Foundation of China (NSFC.11988101), National Science Fund for Distinguished Young Scholars (No. 11425313), and National Key Research and Development Program of China (No. 2016YFA0400800).

Attached Files

Published - Yang_2020_ApJS_249_31.pdf

Accepted Version - 2006.04430.pdf

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August 22, 2023
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