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    Optical variability modelling of newly identified blazars and blazar candidates behind Magellanic clouds

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    Optical_ variability modelling.pdf (562.7Kb)
    Date
    2019
    Author
    Zywucka, Natalia
    Böttcher, Markus
    Tarnopolski, Mariusz
    Stawarz, Lukasz
    Marchenko, Volodymyr
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    Abstract
    We present results of a variability study in the optical band of 44 newly identified blazar candidates behind the Magellanic Clouds. Our sample contains 27 flat spectrum radio quasars (FSRQs) and 17 BL Lacertae objects (BL Lacs). However, only nine of them are considered as secure blazar candidates, while the classification of the remaining 35 objects is still uncertain. All studied blazar candidates possess infrequently sampled optical light curves (LCs) in I filter provided by the Optical Gravitational Lensing Experiment group. The LCs were analysed with the Lomb-Scargle periodogram, the Hurst exponent H, and the A −T plane, to look for blazar-like characteristic features and to study the long-term behaviour of the optical fluxes. The power law (PL) indices of the Lomb-Scargle power spectral density (PSD) of the FSRQ blazar candidates mostly lie in the range (1,2). In case of the BL Lacs they are located in the range (1,1.8). The PL PSD is indicative of a self-affine stochastic process characterised by H, underlying the observed variability. We find that the majority of analysed objects have H ≤ 0.5, indicating short-term memory, whereas four BL Lacs and two FSRQs have H > 0.5, implying long-term memory. 41 blazar candidates are located in the A −T plane in the region available to PL plus Poisson noise processes. Interestingly, one FSRQ is located marginally below this region, while two FSRQs lie above the line T = 2/3, i.e. they are even more noisy than white noise. The BL Lac candidates are characterised by higher A values than FSRQs, i.e. 0.71±0.06 and 0.29±0.05, respectively
    URI
    http://hdl.handle.net/10394/34464
    https://pos.sissa.it/354/026/pdf
    https://doi.org/10.22323/1.354.0026
    https://doi.org/10.3847/1538-4357/ab5fe5
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    • Conference Papers - Potchefstroom Campus [698]
    • Faculty of Natural and Agricultural Sciences [4782]

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