Investigating Active Galactic Nuclei variability with the Cherenkov Telescope Array Observatory
G. Grolleron, J. Biteau, M. Cerruti, R. Grau, L. Gréaux, T. Hovatta, J. -P. Lenain, E. Lindfors, W. Max-Moerbeck, D. Miceli, A. Moralejo, K. Nilsson, E. Prandini, E. Pueschel, S. Kankkunen, J. Becerra Gonzalez, J. Finke, M. Joshi, P. Morris, M. Petropoulou, A. Sarkar, P. Romano, S. Vercellone, M. Zacharias
TL;DR
The paper argues that current gamma-ray instruments limit our understanding of very-high-energy AGN variability and PSD breaks. It presents a modeling-and-simulation framework for CTAO that combines long-term AGN behavior with fast flares using log-normal flux distributions, harder-when-brighter trends, and SSC physics, all fed through a realistic observing pipeline. Simulated results indicate that CTAO can reconstruct long-term light curves and PSDs with higher accuracy and recover flare light curves and spectral variability, including hardness-ratio hysteresis patterns. These findings support CTAO's potential to constrain jet physics, particle acceleration, and emission mechanisms in blazars across a broad range of timescales.
Abstract
Blazars, a type of active galactic nuclei (AGN) with relativistic jets pointed at the observer, exhibit flux variability across the electromagnetic spectrum due to particle acceleration in their jets. Power spectral density (PSD) studies show breaks at specific frequencies, particularly in X-rays, linked to the accretion regime and black hole mass. However, very-high-energy gamma-ray PSD breaks remain unexplored due to current instrument limitations. The Cherenkov Telescope Array Observatory (CTAO), with up to ten times greater sensitivity compared to current generation instruments, will allow precise PSD reconstruction and unprecedented study of blazar flares. These flares reveal key insights into particle acceleration, photon production, and jet properties. The AGN monitoring and flare programs in CTAO's Key Science Project aim to deepen our understanding of blazar emissions.
