Decomposition of the Host Galaxies of Active Galactic Nuclei Using Hubble Space Telescope Images
Minjin Kim (1,2), Luis C. Ho (1), Chien Y. Peng (3), Aaron J. Barth, (4), and Myungshin Im (2) ((1) Carnegie Observatories, (2) Seoul National, University, (3) NRC Herzberg Institute of Astrophysics, (4) UC Irvine)

TL;DR
This study evaluates a two-dimensional image-fitting method for decomposing host galaxies and active galactic nuclei in HST images, highlighting the impact of PSF mismatches and undersampling on measurement accuracy.
Contribution
The paper introduces a comprehensive simulation approach to assess the reliability of AGN-host galaxy decomposition techniques using HST data, and offers practical solutions to improve accuracy.
Findings
PSF mismatches cause systematic overestimation of host galaxy flux.
Broadening images to critical sampling mitigates PSF mismatch effects.
Practical guidelines are provided for analyzing HST images of AGN hosts.
Abstract
Investigating the link between supermassive black hole and galaxy evolution requires careful measurements of the properties of the host galaxies. We perform simulations to test the reliability of a two-dimensional image-fitting technique to decompose the host galaxy and the active galactic nucleus (AGN), especially on images obtained using cameras onboard the Hubble Space Telescope (HST), such as the Wide-Field Planetary Camera 2, the Advanced Camera for Surveys, and the Near-Infrared Camera and Multi-Object Spectrometer. We quantify the relative importance of spatial, temporal, and color variations of the point-spread function (PSF). To estimate uncertainties in AGN-to-host decompositions, we perform extensive simulations that span a wide range in AGN-to-host galaxy luminosity contrast, signal-to-noise ratio, and host galaxy properties (size, luminosity, central concentration). We find…
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.
