Gaussian Process Modeling -LAT -ray Blazar Variability: A Sample of Blazars with -ray Quasi-periodicities
arXiv:2011.10186 · doi:10.3847/1538-4357/abcbff
Abstract
Blazar variability may be driven by stochastic processes. On the other hand, quasi-periodic oscillation (QPO) behaviors are recently reported to be detected in -LAT data of blazars. However, the significances of these QPO signals given by traditional Fourier-like methods are still questioned. We analyze -ray light curves of the QPO blazars with two Gaussian process methods, CARMA and , to examine the appropriateness of Gaussian processes for characterizing -ray light curves of blazars and the existence of the reported QPOs. We collect a sample of 27 blazars with possible -ray periodicity and generate their years -LAT light curves. We apply the Gaussian process models to the -ray light curves, and build their intrinsic power spectral densities (PSDs). The results show that in general the -ray light curves can be characterized by CARMA and models, indicating that -ray variabilities of blazars are essentially Gaussian processes. The resulting PSDs are generally the red noise shapes with slopes between and . Possible evidence for the -ray QPOs in PKS 0537441 and PG 1553113 are found in the Gaussian process modelings.
21 pages, 9 figures, 3 tables. Accepted for publication in ApJ
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