Resolved UV-Optical HST Imaging and Spectral Energy Distribution Modeling of Nearby BAT Active Galactic Nuclei
Connor Auge, Michael Koss, Kriti K. Gupta, Claudio Ricci, Benny Trakhtenbrot, Franz E. Bauer, Ezequiel Treister, Alessandro Peca, Brad Cenko, Kohei Ichikawa, Arghajit Janna, Darshan Kakkad, Richard Mushotzky, Kyuseok Oh, Alejandra Rojas Lilay\'u, David Sanders

TL;DR
This study uses high-resolution HST UV-optical imaging to improve spectral energy distribution modeling of nearby AGN, revealing significant biases in previous lower-resolution data and highlighting the importance of spatial resolution.
Contribution
It demonstrates that high-resolution imaging significantly alters AGN property estimates, emphasizing the need for spatially resolved data in SED modeling.
Findings
HST imaging yields different AGN UV magnitudes compared to Swift/UVOT.
High-resolution data significantly affect SED fit parameters like disk temperature and extinction.
Results show increased bolometric luminosities and X-ray corrections when using HST data.
Abstract
We use high-resolution UV-to-optical imaging from the Hubble Space Telescope (HST) to construct spatially resolved spectral energy distributions (SEDs) for seven nearby () hard (14--195keV) X-ray-selected broad-line active galactic nuclei (AGN) with . The high spatial resolution of HST, which physically resolves structures on the scale of 50pc at , enables the separation of AGN and host-galaxy emission through morphological decomposition with GALFIT, yielding improved measurements of AGN properties compared to those obtained with lower-resolution Swift UV/Optical Telescope (UVOT) data. AGN UV magnitudes derived from HST imaging (e.g., F225W) can differ by more than a magnitude from those from Swift/UVOT UVM2 due to extended nuclear emission. Additionally, the inclusion of high-resolution data at longer…
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.
