Study of optical and gamma-ray long-term variability in blazars
Gopal Bhatta

TL;DR
This study analyzes a decade of optical and gamma-ray data from blazars, revealing high variability, long-memory processes, correlated emissions, heavy-tailed distributions, and possible quasi-periodic oscillations, enhancing understanding of blazar jet physics.
Contribution
It provides a comprehensive long-term variability analysis of blazars using multiple time-series methods, highlighting correlations and potential periodicities not previously detailed.
Findings
Sources are highly variable in both bands.
Gamma-ray PSD shows flicker noise, indicating long-memory processes.
Evidence of quasi-periodic oscillations in some sources.
Abstract
Blazars, a subset of powerful active galactic nuclei, feature relativistic jets that shine in a broadband electromagnetic radiation, e. g. from radio to TeV emission. Here I present the results of the studies that explore gamma-ray and optical variability properties of a sample of gamma-ray bright sources Several methods of time-series analyses are performed on the decade-long optical and Fermi/LAT observations. The main results are as follows: The sources are found highly variable in both the bands, and the gamma-ray power spectral density is found to be consistent with flicker noise suggesting long-memory processes at work. While comparing two emission, not only the overall optical and the -ray emission are highly correlated but also both the observation distributions exhibit heavy tailed log-normal distribution and linear RMS-flux relation. In addition, in some of the sources…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Computational Physics and Python Applications · Dark Matter and Cosmic Phenomena
