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相关论文: A Degeneracy in DRW Modelling of AGN Light Curves

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The damped random walk (DRW) process is one of the most commonly used and simplest stochastic models to describe variability of active galactic nuclei (AGN). An AGN light curve can be converted to just two DRW model parameters - the signal…

星系天体物理 · 物理学 2021-09-10 Szymon Kozłowski

Context: The damped random walk (DRW) stochastic process is nowadays frequently used to model aperiodic light curves of AGNs. A number of correlations between the DRW model parameters, the signal decorrelation timescale and amplitude, and…

星系天体物理 · 物理学 2017-01-18 Szymon Kozłowski

We test the consistency of active galactic nuclei (AGN) optical flux variability with the $\textit{damped random walk}$ (DRW) model. Our sample consists of 20 multi-quarter $\textit{Kepler}$ AGN light curves including both Type 1 and 2…

星系天体物理 · 物理学 2015-07-03 Vishal P. Kasliwal , Michael S. Vogeley , Gordon T. Richards

This work develops application techniques for stochastic modelling of Active Galactic Nuclei (AGN) variability as a probe of accretion disk physics. Stochastic models, specifically Continuous Auto-Regressive Moving Average (CARMA) models,…

天体物理仪器与方法 · 物理学 2019-09-06 Jackeline Moreno , Michael S. Vogeley , Gordon T. Richards

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…

星系天体物理 · 物理学 2025-10-21 Weixiang Yu , Gordon T. Richards , John J. Ruan , Michael S. Vogeley , Franz E. Bauer , Matthew J. Graham

The variability mechanisms from jetted AGNs are still under debate. Here the damped random walk (DRW) model, implemented through Gaussian Processe (GPs), is used to fit the $ZTF$ long-term optical light curves of 1684 $\gamma$-ray emission…

The variability of active galactic nuclei (AGNs) is ubiquitous but has not yet been understood. Measuring the optical variation properties of AGNs, such as variation timescale and amplitude, and then correlating them with their fundamental…

星系天体物理 · 物理学 2024-01-11 Xu-Fan Hu , Zhen-Yi Cai , Jun-Xian Wang

The damped random walk (DRW) model is increasingly used to model the variability in quasar optical light curves, but it is still uncertain whether the DRW model provides an adequate description of quasar optical variability across all time…

宇宙学与河外天体物理 · 物理学 2013-02-25 Ying Zu , C. S. Kochanek , Szymon Kozłowski , Andrzej Udalski

The UV/optical light curves of Active Galactic Nuclei (AGNs) are commonly described by the Damped Random Walk (DRW) model. However, the physical interpretation of the damping timescale, a key parameter in the DRW model, remains unclear.…

高能天体物理现象 · 物理学 2024-03-05 Shuying Zhou , Mouyuan Sun , Zhen-Yi Cai , Guowei Ren , Jun-Xian Wang , Yongquan Xue

The origin of the variability in accretion disks of active galactic nuclei (AGN) is still unknown, but its behavior can be characterized by modeling the time series of optical wavelength fluxes coming from the accretion disks with damped…

天体物理仪器与方法 · 物理学 2025-01-28 Felipe Elorrieta , Wilfredo Palma , Susana Eyheramendy , Franz E. Bauer , Ernesto Camacho

The advent of new time domain surveys and the imminent increase in astronomical data expose the shortcomings in traditional time series analysis (such as power spectra analysis) in characterising the abundantly varied, complex and…

星系天体物理 · 物理学 2020-07-22 R. A. Phillipson , P. T. Boyd , A. P. Smale , M. S. Vogeley

AGN exhibit rapid, high amplitude stochastic flux variations across the entire electromagnetic spectrum on timescales ranging from hours to years. The cause of this variability is poorly understood. We present a Green's Function-based…

星系天体物理 · 物理学 2017-07-26 Vishal P. Kasliwal , Michael S. Vogeley , Gordon T. Richards

We conduct an analysis of over 60,000 dwarf galaxies (7<=log(M_*/M_\odot)<=10) in search of photometric variability indicative of active galactic nuclei (AGNs). Using data from the Young Supernova Experiment (YSE), a time domain survey on…

Machine learning is a promising tool to reconstruct time-series phenomena, such as variability of active galactic nuclei (AGN), from sparsely-sampled data. Here we use three Continuous Auto-Regressive Moving Average (CARMA) representations…

高能天体物理现象 · 物理学 2022-04-21 Xinyue Sheng , Nicholas Ross , Matt Nicholl

The $\gamma$-ray astronomy in time domain has been by now progressed further as the variabilities of Active Galactic Nuclei (AGNs) on different timescales have been reported a lot. We study the $\gamma$-ray variabilities of 23 jetted AGNs…

高能天体物理现象 · 物理学 2022-05-25 Haiyun Zhang , Dahai Yan , Li Zhang

Discrepancies between reported structure function (SF) slopes and their overall flatness as compared to expectations from the damped random walk (DRW) model, which generally well describes the variability of active galactic nuclei (AGNs),…

星系天体物理 · 物理学 2017-03-06 Szymon Kozłowski

We present results of recurrence analysis of 46 active galactic nuclei (AGN) using light curves from the 157-month catalog of the Swift Burst Alert Telescope (BAT) in the 14-150 keV band. We generate recurrence plots and compute recurrence…

高能天体物理现象 · 物理学 2022-11-28 R. A. Phillipson , M. S. Vogeley , P. T. Boyd

The study of quasar light curves poses two problems: inference of the power spectrum and interpolation of an irregularly sampled time series. A baseline approach to these tasks is to interpolate a time series with a Damped Random Walk (DRW)…

星系天体物理 · 物理学 2022-11-21 Egor Danilov , Aleksandra Ćiprijanović , Brian Nord

We compiled a sample of 73 active galactic nuclei (AGNs) with reverberation mapping (RM) observations from RM campaigns including our ongoing campaign of monitoring super-Eddington accreting massive black holes (SEAMBHs). This sample covers…

In this study, we demonstrate some of the caveats in common statistical methods used for analysing astronomical variability timescales. We consider these issues specifically in the context of active galactic nuclei (AGNs) and use a more…

星系天体物理 · 物理学 2024-12-12 Sofia Kankkunen , Merja Tornikoski , Talvikki Hovatta
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