TLDR: Time Lag/Delay Reconstructor
Matthew D Anderson, Fabien Baron, Misty C Bentz

TL;DR
The paper introduces TLDR, an advanced algorithm for reconstructing velocity delay maps in reverberation mapping, utilizing modern image reconstruction techniques to improve understanding of active galactic nuclei's broad-line regions.
Contribution
The paper presents the TLDR algorithm, combining Total Variation and Compressed Sensing within a MAP framework, for enhanced velocity delay map reconstruction in reverberation mapping.
Findings
Successful reconstruction of synthetic spectra
Preliminary map of Arp 151's Hβ feature
Demonstrates effectiveness of modern regularization techniques
Abstract
We present the Time Lag/Delay Reconstructor (TLDR), an algorithm for reconstructing velocity delay maps in the Maximum A Posteriori framework for reverberation mapping. Reverberation mapping is a tomographical method for studying the kinematics and geometry of the broad-line region of active galactic nuclei at high spatial resolution. Leveraging modern image reconstruction techniques, including Total Variation and Compressed Sensing, TLDR applies multiple regularization schemes to re-construct velocity delay maps using the Alternating Direction Method of Multipliers. Along with the detailed description of the TLDR algorithm we present test reconstructions from TLDR applied to synthetic reverberation mapping spectra as well as a preliminary reconstruction of the H\b{eta}feature of Arp 151 from the 2008 Lick Active Galactic Nuclei Monitoring Project.
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