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arXiv 2510.18445astro-ph.GA
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16个变脸活动星系核中重复转变的发现

Discovery of Repeating Transitions in 16 Changing-look Active Galactic Nuclei

Xiamen University(厦门大学);Quanzhou Normal University(泉州师范学院);National Astronomical Observatories, Chinese Academy of Sciences(中国科学院国家天文台);University of Science and Technology of China(中国科学技术大学);Yunnan Normal University(云南师范大学)

Qian Dong, Zhi-Xiang Zhang, Wei-Min Gu, Mouyuan Sun, Wei-Jian Guo, Zhen-Yi Cai, Jun-Xian Wang, Yong-Gang Zheng

AI总结:

通过多历元光谱数据和中红外光变曲线,在299个变脸活动星系核中识别出22个重复变脸活动星系核(发生率为7%),其中16个为新发现,并发现其转变时标与黑洞质量无显著相关性。

摘要:

重复变脸活动星系核(RCL AGNs)表现出宽发射线(BELs)的多次出现和消失,其潜在机制仍是一个谜。扩大RCL AGNs样本对于约束转变时标和探究驱动CL行为的吸积物理具有重要价值。本研究旨在利用斯隆数字巡天、大天区面积多目标光纤光谱望远镜和暗能量光谱仪确认的CL AGNs的多历元光谱数据,辅以中红外(MIR)光变曲线,来识别RCL AGNs。通过选择标准和目视检查,我们在299个CL AGNs中识别出22个RCL AGNs,对应发生率约为7%,表明重复转变在CL AGNs中并不极其罕见。在22个RCL AGNs中,有16个是新识别的,这显著扩大了已知的RCL AGN样本。基于光谱和密集采样的MIR光变曲线,我们推导出18个RCL AGNs的MIR变异性时标,并发现时标与黑洞质量之间无显著相关性。

英文摘要:

The repeating changing-look active galactic nuclei (RCL AGNs) exhibit multiple appearances and disappearances of broad emission lines (BELs), whose underlying mechanism remains a puzzle. Expanding the sample of RCL AGNs is valuable for constraining the transition timescale and probing the accretion physics driving CL behaviors. This study aims to identify RCL AGNs using the multi-epoch spectroscopic data of confirmed CL AGNs from the Sloan Digital Sky Survey, Large Sky Area Multi-Object Fiber Spectroscopic Telescope, and Dark Energy Spectroscopic Instrument, supplemented with mid-infrared (MIR) light curves. Through selection criteria and visual inspection, we identify 22 RCL AGNs among 299 CL AGNs, corresponding to an occurrence rate of about 7\%, indicating that repeated transitions are not extremely rare in CL AGNs. Among the 22 RCL AGNs, 16 are newly identified, which significantly expands the known RCL AGN sample. Based on the spectra and densely sampled MIR light curves, we derive MIR variability timescales for 18 RCL AGNs, and find no significant correlation between the timescale and the black hole mass.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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