The Accuracy of Morphological Decomposition of Active Galactic Nucleus Host Galaxies
B. D. Simmons, C. M. Urry

TL;DR
This study evaluates the accuracy of morphological decomposition of AGN host galaxies using simulated ACS images, demonstrating reliable separation of host and point-source features and quantifying errors in parameter recovery.
Contribution
It provides a comprehensive analysis of the reliability and limitations of morphological fitting techniques for AGN host galaxies up to redshift 1.25, including error estimates and biases.
Findings
Point sources are recovered with over 90% accuracy.
Single-component Sersic fits are reliable up to z < 1.25.
Two-component fits tend to overestimate bulge fraction by ~10%.
Abstract
In order to assess the accuracy with which we can determine the morphologies of AGN host galaxies, we have simulated more than 50,000 ACS images of galaxies with z < 1.25, using image and noise properties appropriate for the GOODS survey. We test the effect of central point-source brightness on host galaxy parameter recovery with a set of simulated AGN host galaxies made by adding point sources to the centers of normal galaxies. We extend this analysis and also quantify the recovery of intrinsic morphological parameters of AGN host galaxies with a set of fully simulated inactive and AGN host galaxies. We can reliably separate good from poor fit results using a combination of reasonable error cuts, in the regime where L_{host}:L_{PS} > 1:4. We give quantitative estimates of parameter errors as a function of host-to-point-source ratio. In general, we separate host and point-source…
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