Precession-induced Variability in AGN Jets and OJ 287

Autor: Britzen, Silke, Zajaček, Michal, Gopal-Krishna, Fendt, Christian, Kun, Emma, Jaron, Frédéric, Sillanpää, Aimo, Eckart, Andreas
Rok vydání: 2023
Předmět:
Zdroj: The Astrophysical Journal (2023), Volume 951, Issue 2, id.106, 38 pp
Druh dokumentu: Working Paper
DOI: 10.3847/1538-4357/accbbc
Popis: The combined study of the flaring of Active Galactic Nuclei (AGN) at radio wavelengths and pc-scale jet kinematics with Very Long Baseline Interferometry (VLBI) has led to the view that i) the observed flares are associated with ejections of synchrotron blobs from the core, and ii) most of the flaring would follow a one-to-one correlation with the component ejection. Recent results have provided mounting evidence that the quasi-regular component injections into the relativistic jet may not be the only cause of the flux variability. We propose that AGN flux variability and jet morphology changes can both be of deterministic nature, i.e. having a geometric/kinetic origin linked to the time-variable Doppler beaming of the jet emission as its direction changes due to precession (and nutation). The physics of the underlying jet leads to shocks, instabilities, or to ejections of plasmoids. The appearance (morphology, flux, etc.) of the jet can, however, be strongly affected and modulated by precession. We demonstrate this modulating power of precession for OJ 287. For the first time, we show that the spectral state of the Spectral Energy Distribution (SED) can be directly related to the jet's precession phase. We model the SED evolution and reproduce the precession parameters. Further, we apply our precession model to eleven prominent AGN. We show that for OJ 287 precession seems to dominate the long-term variability ($\gtrsim 1\,{\rm yr}$) of the AGN flux, SED spectral state, and jet morphology, while stochastic processes affect the variability on short timescales ($\lesssim 0.2\,{\rm yr}$).
Comment: 48 pages, 26 figures, 14 tables; published in the Astrophysical Journal
Databáze: arXiv