Statistical properties of flux variations in blazar light curves at GeV and TeV energies

Discussion timeslot (ZOOM-Meeting): 16. July 2021 - 18:00
ZOOM-Meeting URL: https://icrc2021.desy.de/pf_access_abstracts
Corresponding Session: https://icrc2021-venue.desy.de/channel/Presenter-Forum-1-Evening-All-Categories/48
Abstract:
'Despite numerous detections of individual flares, the cause of the rapid variability observed from blazars remains uncertain. Using Bayesian blocks and the HOP algorithm, we characterize all significant flux variations in a set of light curves and determine the statistical properties of the rise and decay behavior in order to constrain the physical mechanisms driving blazar variability. Long-term gamma-ray light curves of TeV-bright blazars observed with the First G-APD Cherenkov Telescope (FACT) are compared to those of GeV-bright blazars observed with the Fermi Gamma-ray Space Telescope (Fermi-LAT). Furthermore, we test for time-reversal invariance which is expected if the light curves can be described by a stochastic model such as the Ornstein-Uhlenbeck process.'

Authors: Sarah Wagner | Paul R. Burd | Sara Buson | Daniela Dorner | Andrea Gokus | Greg Madejski | Karl Mannheim | Jeff D. Scargle

Collaborations: FACT |  Fermi-LAT

Indico-ID: 1202
Proceeding URL: https://pos.sissa.it/395/868