Detection of quasi-periodic oscillation in the optical light curve of the blazar S5 0716+714

Haiyan, Yang; Xiefei, Song; Xiaopan, Li; Na, Jiang; Haitao, Yang; Yuhui, Luo; Li, Zhou; Yan, Cai

doi:10.1007/s10509-023-04247-6

Cited by 1 publication

(1 citation statement)

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“…Hong et al (2018) detected a QPO of 50 minutes. Haiyan et al (2023) detected a QPO of 2.90 ± 0.14 yr using 32 yr of optical R-band data and associated the QPO with a probable binary SMBH. Chen et al (2022) detected a transient QPO of 31.3 ± 1.8 days in the γ-ray band light curve (LC) of the blazar S5 0716+714 using weighted wavelet Z-transform (WWZ) and Lomb-Scargle periodogram (LSP).…”

Section: Introductionmentioning

confidence: 98%

Investigating Optical Variability of the Blazar S5 0716+714 on Diverse Timescales

Ege,

Özdönmez,

Agarwal

et al. 2024

ApJ

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We present the results of the observational study of the blazar S5 0716+716 in the optical bands B, V, R, and I between 2019 March and 2023 August to investigate its variability on diverse timescales. The blazar was followed up by the T60 robotic telescope in Türkiye for 416 nights to obtain long-term variability during this period. In order to search for the intraday variability of the object, we have carried out 21 nights of observations with the T100 telescope for at least 1 hr. The blazar showed a ∼2.47 mag variation in the optical R band during our monitoring period, the brightest state on 2020 January 18 (MJD 58866) as R = 12.109 ± 0.011 mag and the faintest state on 2019 March 23 (MJD 58565) as R = 14.580 ± 0.013 mag. We employed the nested ANOVA test and the power-enhanced F-test to quantify intraday variability, which showed that the blazar was significantly variable in the R band on 12 out of 21 nights. Correlation analysis of the light curves shows that the emission in the BVRI optical bands was strongly correlated both in the short and long term without any time lag. The blazar has likely quasiperiods of 186 ± 30 and 532 ± 76 days in the optical R-band light curve according to the weighted wavelet Z-transform and Lomb–Scargle periodogram. The intraday variation and long-term variation features are discussed within the frame of prospective scenarios.

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Section: Introductionmentioning

confidence: 98%