Weixiang Yu, 伟翔 于, Gordon T. Richards, John J. Ruan, Michael S. Vogeley, Franz E. Bauer and Matthew J. Graham
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A DHO process can be defined using four parameters, two for describing its long-term behavior/variability, and the other two for describing its short-term behavior/variability. We find that the best-fit DHO model describes the observed variability of our quasar light curves better than the best-fit DRW model. Furthermore, the best-fit DHO parameters exhibit correlations with the rest-frame wavelength, the Eddington ratio, and the black hole mass of our quasars. Based on the power spectral density shape of the best-fit DHOs and these correlations, we suggest that the observed long-term variability of our quasars can be best explained by accretion rate or thermal fluctuations originating from the accretion disk, and the observed short-term variability can be best explained by reprocessing of X-ray variability originating from the corona. 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引用次数: 0
摘要
阻尼随机漫步(DRW)过程通常用于描述活动星系核(AGN)的紫外/光学连续时空变化。然而,最近的研究表明,该模型未能捕捉AGN变异性的全部谱。在这项工作中,我们模拟了21767个类星体的22年长光曲线,红移范围为0.28 < z < 2.71,作为噪声驱动的阻尼谐振子(DHO)过程。在光学g和r波段的光曲线是由斯隆数字巡天、全景巡天望远镜和快速反应系统以及兹威基瞬变设施收集和组合的。DHO过程可以使用四个参数来定义,其中两个用于描述其长期行为/可变性,另外两个用于描述其短期行为/可变性。我们发现最拟合的DHO模型比最拟合的DRW模型更能描述我们观测到的类星体光曲线的变异性。此外,最佳拟合的DHO参数与静帧波长、爱丁顿比和类星体的黑洞质量相关。基于最适合的DHOs的功率谱密度形状和这些相关性,我们认为类星体的长期变化可以用吸积盘产生的吸积速率或热波动来解释,而短期变化可以用日冕x射线变化的再处理来解释。DHO模型揭示的额外信息强调了在分析下一代宽视场时域巡天提供的AGN光曲线时,需要超越DRW。
Examining Active Galactic Nucleus UV/Optical Variability beyond the Simple Damped Random Walk. II. Insights from 22 yr Observations of SDSS, PS1, and ZTF
A damped random walk (DRW) process is often used to describe the temporal UV/optical continuum variability of active galactic nuclei (AGN). However, recent investigations have shown that this model fails to capture the full spectrum of AGN variability. In this work, we model the 22 yr long light curves of 21,767 quasars, spanning the redshift range 0.28 < z < 2.71, as a noise-driven damped harmonic oscillator (DHO) process. The light curves, in the optical g and r bands, are collected and combined from the Sloan Digital Sky Survey, the Panoramic Survey Telescope and Rapid Response System, and the Zwicky Transient Facility. A DHO process can be defined using four parameters, two for describing its long-term behavior/variability, and the other two for describing its short-term behavior/variability. We find that the best-fit DHO model describes the observed variability of our quasar light curves better than the best-fit DRW model. Furthermore, the best-fit DHO parameters exhibit correlations with the rest-frame wavelength, the Eddington ratio, and the black hole mass of our quasars. Based on the power spectral density shape of the best-fit DHOs and these correlations, we suggest that the observed long-term variability of our quasars can be best explained by accretion rate or thermal fluctuations originating from the accretion disk, and the observed short-term variability can be best explained by reprocessing of X-ray variability originating from the corona. The additional information revealed by DHO modeling emphasizes the need to go beyond DRW when analyzing AGN light curves delivered by next-generation wide-field time-domain surveys.