Gaussian processes for blazar variability studies

Abstract

This article shortly introduces Gaussian processes (GP) as a new approach for modelling time series in the field of blazar physics. In the second part of the paper, recent results from an application of GP modelling to the multi-wavelength light curves of the blazar PKS 1502+106 are discussed.

arXiv comment7 pages, 2 figures. Accepted for publication in Galaxies. This article belongs to the Special Issue "Blazars through Sharp Multi-wavelength Eyes"

References in corpus (10)

• Scikit-learn: Machine Learning in Python
• A Gaussian process framework for modelling stellar activity signals in radial velocity data
• Internal shocks in the jets of radio-loud quasars
• A simple method to estimate radial velocity variations due to stellar activity using photometry
• A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy
• PKS 1502+106: a new and distant gamma-ray blazar in outburst discovered by the Fermi Large Area Telescope
• Kinetic Luminosity and Composition of Active Galactic Nuclei Jets
• Radio jet emission from GeV-emitting narrow-line Seyfert 1 galaxies
• A new method for estimating frequency-dependent core shifts in active galactic nucleus jets
• Simultaneous Radio to (Sub-) mm-Monitoring of Variability and Spectral Shape Evolution of potential GLAST Blazars