快速推导晚期接触双星参数的方法及其在卡特琳娜巡天中的应用

JinLiang Wang, Xu Ding, JiaJia Li, JianPing Xiong, QiYuan Cheng, KaiFan Ji
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引用次数: 0

摘要

随着大型光学巡天的不断发展,大量晚期接触双星系统(CBs)的光曲已经发布。使用 Wilson-Devinney 程序和 PHOEBE 程序推导 CB 的参数是一项挑战。因此,本研究开发了一种基于神经网络模型结合汉密尔顿蒙特卡洛(HMC)算法(NNHMC)的快速推导光变曲线的方法。利用神经网络建立参数与 PHOEBE 程序预先生成的光曲线之间的映射关系,并利用 HMC 算法获得参数的后验分布。将NNHMC方法应用于卡特琳娜巡天中的大量接触双星样本,共得到19104个晚期型接触双星参数。将得到的结果与之前对 30 个接触双星的研究结果进行了比较,两者之间的拟合优度(R2)分布基本一致。NNHMC 方法具有同时推导大量目标参数的能力。此外,它还可以为未来涉及大量 CBs 样本的巡天观测中快速推导参数提供极为有效的工具。
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A Method of Rapidly Deriving Late-type Contact Binary Parameters and Its Application in the Catalina Sky Survey
With the continuous development of large optical surveys, a large number of light curves of late-type contact binary systems (CBs) have been released. Deriving parameters for CBs using the the Wilson–Devinney program and the PHOEBE program poses a challenge. Therefore, this study developed a method for rapidly deriving light curves based on the Neural Networks model combined with the Hamiltonian Monte Carlo (HMC) algorithm (NNHMC). The neural network was employed to establish the mapping relationship between the parameters and the pregenerated light curves by the PHOEBE program, and the HMC algorithm was used to obtain the posterior distribution of the parameters. The NNHMC method was applied to a large contact binary sample from the Catalina Sky Survey, and a total of 19,104 late-type contact binary parameters were derived. Among them, 5172 have an inclination greater than 70° and a temperature difference less than 400 K. The obtained results were compared with the previous studies for 30 CBs, and there was an essentially consistent goodness-of-fit (R 2) distribution between them. The NNHMC method possesses the capability to simultaneously derive parameters for a vast number of targets. Furthermore, it can provide an extremely efficient tool for the rapid derivation of parameters in future sky surveys involving large samples of CBs.
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