2021ApJ...907..105Y -
Astrophys. J., 907, 105-105 (2021/February-1)
Gaussian process modeling Fermi-LAT γ-ray blazar variability: a sample of blazars with γ-ray quasi-periodicities.
YANG S., YAN D., ZHANG P., DAI B. and ZHANG L.
Abstract (from CDS):
Blazar variability may be driven by stochastic processes. On the other hand, quasi-periodic oscillation (QPO) behaviors were recently reported to be detected in the Fermi-LAT data of blazars. However, the significances of these QPO signals given by traditional Fourier-like methods are still questioned. We analyze γ-ray light curves of the QPO blazars with two Gaussian process methods, CARMA and celerite, to examine the appropriateness of Gaussian processes for characterizing γ-ray light curves of blazars and the existence of the reported QPOs. We collect a sample of 27 blazars with possible γ-ray periodicity and generate their ∼11 yr Fermi-LAT light curves. We apply the Gaussian process models to the γ-ray light curves, and build their intrinsic power spectral densities (PSDs). The results show that in general the γ-ray light curves can be characterized by CARMA and celerite models, indicating that γ-ray variabilities of blazars are essentially Gaussian processes. The resulting PSDs are generally the red noise shapes with slopes between -0.6 and -1.7. Possible evidence for the γ-ray QPOs in PKS 0537-441 and PG 1553+113 are found in the Gaussian process modelings.
Abstract Copyright:
© 2021. The American Astronomical Society. All rights reserved.
Journal keyword(s):
Blazars - Gamma-rays - Time series analysis - Period search - Gaussian Processes regression
Simbad objects:
29
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