2017
DOI: 10.3847/1538-3881/aa9d89
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Optical Quasi-periodic Oscillation of the BL Lacertae Object S5 0716+714 during the Faint State

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Cited by 31 publications
(32 citation statements)
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References 52 publications
(106 reference statements)
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“…We can model such a PSD using a constant in the frequency domain. With N different PSD frequencies, the probability (p) that the maximum power at any frequency crossing a threshold (z) is given by p(>z) ≈ N e −z (Scargle 1982;Hong et al 2018), quantifying the false alarm probability (FAP), or the significance of the peak. The lower the FAP of a period peak, the less likely it is to be caused by statistical fluctuation.…”
Section: Significance Estimationmentioning
confidence: 99%
“…We can model such a PSD using a constant in the frequency domain. With N different PSD frequencies, the probability (p) that the maximum power at any frequency crossing a threshold (z) is given by p(>z) ≈ N e −z (Scargle 1982;Hong et al 2018), quantifying the false alarm probability (FAP), or the significance of the peak. The lower the FAP of a period peak, the less likely it is to be caused by statistical fluctuation.…”
Section: Significance Estimationmentioning
confidence: 99%
“…Although some observers remain skeptical about the existence of micro-variability, many observations and analytical methods have been established for the micro-variability of AGN (Meng et al 2017;Carini et al 1992;Villata et al 2002;Gaur et al 2015;Hagen-Thorn et al 2002;Pollock et al 2007). Gupta et al (2009) and Hong et al (2018) reported the optical quasi-period oscillation for S5 0716+714, which were explained by accretion disk fluctuations or oscillations. Very long baseline interferometry (VLBI) observations of the blazar jets in the form of radio knots proved the existence of postulated compact regions, and the apparent super-luminal motion (Bartel et al 1986).…”
Section: Introductionmentioning
confidence: 99%
“…Red-noise spectra are characteristic of auto-regressive (AR) processes where activity at an instant is related to past activities (e.g. Schulz & Mudelsee 2002;Fan et al 2014;Zhang et al 2018;Xiong et al 2017;Hong et al 2018;Gupta, et al 2018). AGN emissions are generally autoregressive and usually can be convincingly modeled using an AR1 process where the present emission depends on the emission that immediately precedes it, i.e.,…”
Section: Redfit Analysismentioning
confidence: 99%