Optimizing Long-term Variability of AGN Light Curves. I. A Case Study with ZTF Observations in the EGS Field
Jiaqi Lin, Zhen-Ya Zheng, Bin Ma, Lin Long, Yangfan Xie, Pu Lin, Ruqiu Lin, Xiang Ji

TL;DR
This study improves long-term AGN light curves by stacking multi-epoch images from ZTF, enhancing photometric precision and enabling detection of weak variability, thus aiding in better understanding AGN physics.
Contribution
It introduces a stacking method to produce deeper, more precise AGN light curves from ZTF data, improving variability detection over traditional single-epoch analyses.
Findings
Deeper light curves with 2.0-2.5 mag improvement.
Enhanced detection of weak AGN variability.
Most AGNs show a bluer-when-brighter trend.
Abstract
Optical variability is a key observational probe for studying the accretion dynamics and central engine physics of Active Galactic Nuclei (AGNs). The quality and completeness of light curves have a direct impact on variability studies, particularly for faint AGNs and high-redshift AGNs. To improve the quality of long-term light curves for AGNs, we bin and stack multi-epoch images balancing the image depths and temporal resolution. As a case study, we apply this method to Zwicky Transient Facility (ZTF) observations in the Extended Groth Strip (EGS) field, where the overlapping region covers an area of about 370 arcmin and includes -band and -band data taken from March 2018 to December 2024. The co-added images are approximately 2.0 to 2.5 magnitudes deeper than the ZTF single-epoch images. With co-added images, we construct light curves for 73 AGNs in the EGS field. Compared…
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