Eclipsing Binaries From the CSTAR Project at Dome A, Antarctica

Ming Yang, Hui Zhang, Songhu Wang, Ji-Lin Zhou, Xu Zhou, Lingzhi Wang, Lifan Wang, R. A. Wittenmyer, Hui-Gen Liu, Zeyang Meng, M. C. B. Ashley, J. W. V. Storey, D. Bayliss, Chris Tinney, Ying Wang, Donghong Wu, Ensi Liang, Zhouyi Yu, Zhou Fan, Long-Long Feng, Xuefei Gong, J. S. Lawrence, Qiang Liu, D. M. Luong-Van, Jun Ma, Zhenyu Wu, Jun Yan, Huigen Yang, Ji Yang, Xiangyan Yuan, Tianmeng Zhang, Zhenxi Zhu, Hu Zou

Published 2015-04-21Version 1

The Chinese Small Telescope ARray (CSTAR) has observed an area around the Celestial South Pole at Dome A since 2008. About $20,000$ light curves in the i band were obtained lasting from March to July, 2008. The photometric precision achieves about 4 mmag at i = 7.5 and 20 mmag at i = 12 within a 30 s exposure time. These light curves are analyzed using Lomb--Scargle, Phase Dispersion Minimization, and Box Least Squares methods to search for periodic signals. False positives may appear as a variable signature caused by contaminating stars and the observation mode of CSTAR. Therefore the period and position of each variable candidate are checked to eliminate false positives. Eclipsing binaries are removed by visual inspection, frequency spectrum analysis and locally linear embedding technique. We identify 53 eclipsing binaries in the field of view of CSTAR, containing 24 detached binaries, 8 semi-detached binaries, 18 contact binaries, and 3 ellipsoidal variables. To derive the parameters of these binaries, we use the Eclipsing Binaries via Artificial Intelligence (EBAI) method. The primary and the secondary eclipse timing variations (ETVs) for semi-detached and contact systems are analyzed. Correlated primary and secondary ETVs confirmed by false alarm tests may indicate an unseen perturbing companion. Through ETV analysis, we identify two triple systems (CSTAR J084612.64-883342.9 and CSTAR J220502.55-895206.7). The orbital parameters of the third body in CSTAR J220502.55-895206.7 are derived using a simple dynamical model.