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Monitoring AGNs with H$\beta$ Asymmetry. IV. First Reverberation Mapping Results of 14 AGNs

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arxiv 2404.07343 v1 pith:BUICIGTK submitted 2024-04-10 astro-ph.GA

T.E. Zastrocky , Michael S. Brotherton , Pu Du , Jacob N. McLane , Kianna A. Olson , D.A. Dale , H.A. Kobulnicky , Jaya Maithil
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My L. Nguyen William T. Chick David H. Kasper Derek Hand C. Adelman Z. Carter G. Murphree M. Oeur T. Roth S. Schonsberg M.J. Caradonna J. Favro A.J. Ferguson I.M. Gonzalez L.M. Hadding H.D. Hagler C.J. Rogers T.R. Stack Franklin Chapman Dong-Wei Bao Feng-Na Fang Shuo Zhai Sen Yang Yong-Jie Chen Hua-Rui Bai Yi-Xin Fu Jun-Rong Liu Zhu-Heng Yao Yue-Chang Peng Yu-Yang Songsheng Yan-Rong Li Jin-Ming Bai Chen Hu Ming Xiao Luis C. Ho Jian-Min Wang
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classification astro-ph.GA
keywords resultsagnsbetalagsmonitoringasymmetrymahamapping
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abstract

We report first-time reverberation mapping results for 14 AGNs from the ongoing Monitoring AGNs with H$\beta$ Asymmetry campaign (MAHA). These results utilize optical spectra obtained with the Long Slit Spectrograph on the Wyoming Infrared 2.3m Telescope between 2017 November-2023 May. MAHA combines long-duration monitoring with high cadence. We report results from multiple observing seasons for 9 of the 14 objects. These results include H$\beta$ time lags, supermassive black hole masses, and velocity-resolved time lags. The velocity-resolved lags allow us to investigate the kinematics of the broad-line region.

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  1. The Sloan Digital Sky Survey Reverberation Mapping Project: Insights on Maximizing Efficiency in Lag Measurements and Black-Hole Masses

    astro-ph.GA 2024-12 conditional novelty 6.0 of 10

    Durbin-Watson autocorrelation and variability signal-to-noise are the best predictors of successful quasar lag measurements, and reducing first-year cadence by 40% preserves roughly 76 to 90 percent of recovered lags.

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