0 Assigned ID: 3094 ----- Attempting Submission 1 (Fri Mar 25 01:11:20 GMT 2022) ----- HST Phase I Proposal 3094 successfully submitted. Receipt: # 3094-1 ----- Attempting Submission 2 (Fri Mar 25 22:35:53 GMT 2022) ----- HST Phase I Proposal 3094 successfully submitted. Receipt: # 3094-2 ----- Attempting Submission 3 (Fri Mar 25 23:08:19 GMT 2022) ----- Reverberation mapping (RM) determines the mass of black holes (MBH) in active galactic nuclei (AGNs) by resolving the BH gravitational sphere of influence "in time". The resulting relationship between broad-line region (BLR) radius and AGN luminosity (the "R-L relation") is the foundation of virtually all MBH measurements beyond the local universe. Recent RM campaigns with high-quality data (cadence and S/N) yielded velocity-resolved time lags and independent BH masses for a sample of 29 objects, spanning a wide range of AGN luminosities and BH masses (6.4<log MBH/Msun<9.1). Integral-field spectroscopy was obtained with state-of-the-art instruments (Keck/KCWI and VLT/MUSE) for 11 objects for a robust measurement of stellar-velocity dispersion. HST images are essential to: (i) separate the nuclear luminosity from that of the host and thus calibrate the R-L relation over a wide mass range; (ii) determine the correlations between MBH and host-galaxy properties, such as bulge and host-galaxy luminosities, bulge effective-radii, and morphology (frequency of pseudo-bulges, bars, and mergers). Archival HST images are available for 18 objects (this AR proposal), we also proposed for the remaining 11 (GO proposal ID 3089). This sample has the most accurate MBH measurements beyond the local universe and will provide a fundamental local benchmark for studies of the evolution of massive black holes and their host galaxies across cosmic time. Measuring the distribution and scatter of f factors and looking for other dependencies to go beyond the sample-average f factor will help to better constrain the single-epoch BH mass. The team has significant expertise in the structural analysis of AGN host galaxies, and galaxies in general, in particular using HST images. Members of the team have led several HST observing campaigns and published multiple papers. Dr. Vardha N. Bennert was the PI of a recently completed (and published) HST SNAP program observing local AGNs with single-epoch MBH estimations. She has also been leading the analysis of Keck/KCWI spectra that complement the HST images proposed here. Dr. Vivian U led the analysis of the most recent published RM AGN data. The dynamical modeling is carried out by Dr. Tommaso Treu and his graduate student Lizvette Villafana. Dr. Simon Birrer is the developer of the Lenstronomy code that will be used for the detailed host-galaxy analysis. Dr. Xuheng Ding has recently applied Lenstronomy to a sample of high-redshift broad-line AGNs to study the evolution of the BH mass-host-galaxy scaling relations. With Birrer's and Ding's help, Bennert has applied Lenstronomy to the sample of local broad-line AGNs obtained in her recent HST SNAP program. Nico Winkel is a graduate student and expert on IFU spectroscopic observations complementary to this HST proposal. Dr. Knud Jahnke is an expert on quasar host galaxy morphologies and image decomposition, and has PI'd several HST programs. He has been studying the co-evolution of BHs and host galaxies since 1996. Bennert, Malkan, and Treu have been studying the co-evolution of BHs and spheroids since 2004, developing many of the techniques that enable this work. Bennert, Malkan and Treu have been measuring BH masses through reverberation mapping for many years, including several successful Lick observing campaigns. Our LAMP team has established itself as one of the leading groups through both datasets of high S/N and cadence as well as new analysis strategies. Treu and Malkan provide the team with excellent access to Keck telescope time. The team is in a superb position to accomplish the goals stated in this proposal. Supermassive Black Holes and Active Galaxies 0 Regular false false false false false false SUPPORTED