Feature Selection for Classification of Blazars Based on Optical Photometric and Polarimetric Time-Series Data
Makoto Uemura, Taisei Abe, Yurika Yamada, Shiro Ikeda

TL;DR
This study uses optical photometric and polarimetric time-series data to identify key features that differentiate FSRQs from BL Lac objects based on their variability patterns, revealing underlying physical similarities and differences.
Contribution
The paper introduces a novel feature-based approach using the Ornstein-Uhlenbeck process to distinguish blazar subtypes from optical variability data.
Findings
FSRQs exhibit rare, large flares; BL Lacs show stationary variability.
Variability features are linked to synchrotron peak frequency.
BL Lacs tend to have higher median polarization degrees.
Abstract
Blazars can be divided into two subtypes, flat spectrum radio quasars (FSRQs) and BL Lac objects, which have been distinguished phenomenologically by the strength of their optical emission lines, while their physical nature and relationship are still not fully understood. In this paper, we focus on the differences in their variability. We characterize the blazar variability using the Ornstein-Uhlenbeck (OU) process, and investigate the features that are discriminative for the two subtypes. We used optical photometric and polarimetric data obtained with the 1.5-m Kanata telescope for 2008-2014. We found that four features, namely the variation amplitude, characteristic timescale, and non-stationarity of the variability obtained from the light curves and the median of the degree of polarization (PD), are essential for distinguishing between FSRQs and BL Lac objects. FSRQs are…
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