AGN STORM 2. XII. Ground-Based Optical Photometry and Lag Measurements of Mrk 817
John W. Montano, Aaron J. Barth, Keith Horne, Edward M. Cackett, Gisella De Rosa, Yasaman Homayouni, Erin A. Kara, Gerard A. Kriss, Hermine Landt, Gilvan G. Apolonio, Nahum Arav, Benjamin D. Boizelle, Elena Dalla Bonta, Doron Chelouche, Maryam Dehghanian, Rick Edelson

TL;DR
This study presents ground-based optical photometry and lag measurements of Mrk 817, revealing wavelength-dependent reverberation lags, a disk size discrepancy, and variability linked to luminosity and obscuration changes.
Contribution
It provides detailed multi-epoch reverberation lag measurements across multiple wavelengths, highlighting the impact of luminosity and obscuration on AGN disk size estimates.
Findings
Lag measurements follow the expected λ^{4/3} dependence but are systematically shorter with other methods.
Observed disk sizes exceed thin-disk predictions by factors of 3-6, confirming the disk size discrepancy.
Lag variations correlate with changes in luminosity and obscuration, indicating dynamic accretion disk and broad-line region conditions.
Abstract
We present the ground-based imaging campaign and light curves of Markarian 817 as part of the multiwavelength monitoring program AGN STORM\,2. Observations were carried out over 1.4 years in \emph{uBgVriz} filters, with a median cadence of 0.4 days in \emph{g}. Reverberation lags are measured using three methods (ICCF, JAVELIN, and PyROA) with the Swift UVW2 band (1928 \AA) as the reference light curve. The ICCF centroid lags range from days for the band up to days for , and are consistent with a dependence, the relation expected for lamp-post reprocessing by a Shakura-Sunyaev disk. Lags measured with the other methods are systematically shorter, and deviate from a power-law spectrum at long wavelengths. The lags exceed thin-disk reprocessing predictions by factors of 3-6, similar to the ``disk size…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
