关于ATLASGAL源的NEOWISE变异性的样本和统计分析

Ying Lu, Xi Chen, Shijie Song, Jun-Ting Liu, Tian Yang, You-Xin Wang, Yan-Kun Zhang, Shi-Jie Zhang
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摘要

这项研究的重点是分析与APEX望远镜银河系大面积巡天(ATLASGAL)编录源相关的高质年轻恒星天体(YSO)样本的中红外变率。近地天体宽视场红外巡天探测器再激活任务(NEOWISE)数据库被用来探索这些高质年轻恒星天体在半年尺度上的长期中红外变率。在与NEOWISE光度测量结果进行比对之后,共选择了2230个ATLASGAL源进行变率分析,其中717个被确定为变量。不同演化阶段的变量比例显示,高质YSO的变率在YSO阶段最高,随着向H ii区域阶段的演化而降低,这与低质YSO的行为相似。根据光变曲线,这些变星可分为六种类型,其中又分为两类:世俗变星(线性变星、正弦变星、正弦+线性变星)和随机变星(爆发变星、下降变星和不规则变星)。在 160 个世俗变星中观测到的星等-颜色变化主要分为 "变亮时更蓝/变暗时更红 "和 "变亮时更红/变暗时更蓝 "两种,这可能是由于吸积率的变化或遮挡造成的消光效应引起的。此外,还选择了几个偶发性增生候选天体进行进一步观测研究。
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Sample and Statistical Analysis on NEOWISE Variability of ATLASGAL Sources
This study focuses on the analysis of mid-infrared variability in a sample of high-mass young stellar objects (YSOs) associated with the cataloged sources from the APEX Telescope Large Area Survey of the Galaxy (ATLASGAL). The Near-Earth Object Wide-field Infrared Survey Explorer Reactivation Mission (NEOWISE) database was used to explore the long-term mid-infrared variability of these high-mass YSOs at a half-year scale. After matching with NEOWISE photometric measurements, a total of 2230 ATLASGAL sources were selected for the variability analysis, out of which 717 were identified as variables. The derived proportions of variables at different evolutionary stages show that the variability rate of high-mass YSOs is highest during the YSO stage and decreases with evolution toward the H ii region stage, resembling the behavior of low-mass YSOs. The variables can be classified into six types based on their light curves, divided into two categories: secular (linear, sin, sin+linear) and stochastic variables (burst, drop, and irregular). The magnitude–color variations observed in ∼160 secular variables can be mainly divided into “bluer when brighter/redder when dimming” and “redder when brighter/bluer when dimming,” likely originating from changes in accretion rate or the effect of extinction due to obscuration. Moreover, several episodic accretion candidates were selected for further observational studies.
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