SDSSJ14584479+3720215: A Benchmark JHK Blazar Light Curve from the 2MASS Calibration Scans
James R. A. Davenport, John J. Ruan, Andrew C. Becker, Chelsea L., Macleod, Roc M. Cutri

TL;DR
This study presents the most well-sampled near-infrared light curve of a blazar, revealing its stochastic variability and proposing NIR variability as a method to identify gamma-ray blazars.
Contribution
It provides the first detailed NIR variability analysis of a blazar using extensive 2MASS data and demonstrates the potential of NIR variability for gamma-ray blazar identification.
Findings
The blazar SDSSJ14584479+3720215 shows correlated, stochastic NIR variability.
Other quasars in the sample did not show significant NIR variability.
NIR variability can be an effective tool for identifying gamma-ray blazars.
Abstract
Active galactic nuclei (AGNs) are well-known to exhibit flux variability across a wide range of wavelength regimes, but the precise origin of the variability at different wavelengths remains unclear. To investigate the relatively unexplored near-IR variability of the most luminous AGNs, we conduct a search for variability using well sampled JHKs-band light curves from the 2MASS survey calibration fields. Our sample includes 27 known quasars with an average of 924 epochs of observation over three years, as well as one spectroscopically confirmed blazar (SDSSJ14584479+3720215) with 1972 epochs of data. This is the best-sampled NIR photometric blazar light curve to date, and it exhibits correlated, stochastic variability that we characterize with continuous auto-regressive moving average (CARMA) models. None of the other 26 known quasars had detectable variability in the 2MASS bands above…
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