The Nature of $\gamma$-ray Variability in Blazars
Gopal Bhatta, Niraj Dhital

TL;DR
This study analyzes decade-long gamma-ray observations of 20 blazars, revealing variability patterns, flux distributions, and quasi-periodic oscillations, providing insights into emission regions and underlying physical processes.
Contribution
It offers a comprehensive variability analysis of blazars using multiple methods, identifying long-memory processes and detecting quasi-periodic oscillations with significance.
Findings
Blazars with steeper gamma-ray spectra are more variable.
Gamma-ray flux distribution resembles a lognormal distribution.
Detected year-scale quasi-periodic oscillations in several sources.
Abstract
We present an in-depth and systematic variability study of a sample of 20 powerful blazars, including 12 BL Lacs and 8 flat spectrum radio quasars, applying various analysis tools such as flux distribution, symmetry analysis, and time series analysis on the decade-long Fermi/LAT observations. The results show that blazars with steeper \gama-ray spectral indexes are found to be more variable; and the \gama-ray flux distribution closely resembles lognormal probability distribution function. The statistical variability properties of the sources as studied by power spectral density analysis are consistent with \emph{flicker noise} () -- an indication of long-memory processes at work. Statistical analysis of the distribution of flux rise and decay rates in the light curves of the sources, aimed at distinguishing between particle acceleration and energy dissipation…
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