Decoding AGN Feedback with X-arithmetic: From Morphology to Physical Mechanisms
Hannah McCall, Irina Zhuravleva, Eugene Churazov, Congyao Zhang, William Forman, Christine Jones, and Yuan Li

TL;DR
This paper introduces X-arithmetic, a novel image analysis technique applied to Chandra observations of galaxy clusters, enabling detailed identification of feedback features and advancing understanding of AGN feedback mechanisms.
Contribution
The study develops and demonstrates X-arithmetic, a new image-manipulation method that isolates feedback features in galaxy clusters without spectroscopy, improving analysis of AGN feedback effects.
Findings
Feedback produces multiple shocks in groups and galaxies, but fewer in clusters.
Isobaric structures are more common around inner cavities in clusters.
Feedback effects are stronger in smaller-mass systems like groups.
Abstract
Feedback from Active Galactic Nuclei (AGN) is a key process in the evolution of massive halos in the Universe. New observational information on feedback is crucial for improving the implementation of the physics in numerical models. In this work, we apply a novel image-manipulation technique, termed 'X-arithmetic', to a sample of 15 galaxy clusters and groups deeply observed with Chandra. This technique decomposes perturbations in feedback-dominated regions into images excluding either (1) weak shocks and sound waves, (2) bubbles inflated by jets, or (3) cooling and slow gas motions (isobaric perturbations), enabling efficient spatial identification of these features without involving spectroscopic analysis. We confirm the nature of previously (spectroscopically-)identified features and newly establish the origin of other structures. We find that feedback produces multiple shocks in…
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