A Systematic Search for X-ray Cavities in the Hot Gas of Galaxy Groups

TL;DR

This study systematically searches for X-ray cavities in 51 galaxy groups using Chandra data, revealing that a significant fraction host cavities, with detection efficiency influenced by data quality and similar physical processes across different mass scales.

Contribution

It introduces a dual-method approach for cavity detection in galaxy groups and provides the first systematic analysis of cavity prevalence and properties in such systems.

Findings

25% of groups clearly contain cavities

Cavity size correlates with distance from the center

Detection likelihood increases in cool core systems

Abstract

We have performed a systematic search for X-ray cavities in the hot gas of 51 galaxy groups with Chandra archival data. The cavities are identified based on two methods: subtracting an elliptical beta model fitted to the X-ray surface brightness, and performing unsharp masking. 13 groups in the sample 25% are identified as clearly containing cavities, with another 13 systems showing tentative evidence for such structures. We find tight correlations between the radial and tangential radii of the cavities, and between their size and projected distance from the group center, in quantitative agreement with the case for more massive clusters. This suggests that similar physical processes are responsible for cavity evolution and disruption in systems covering a large range in total mass. We see no clear association between the detection of cavities and the current 1.4 GHz radio luminosity of the central brightest group galaxy, but there is a clear tendency for systems with a cool core to be more likely to harbor detectable cavities. To test the efficiency of the adopted cavity detection procedures, we employ a set of mock images designed to mimic typical Chandra data of our sample, and find that the model-fitting approach is generally more reliable than unsharp masking for recovering cavity properties. Finally, we find that the detectability of cavities is strongly influenced by a few factors, particularly the signal-to-noise ratio of the data, and that the real fraction of X-ray groups with prominent cavities could be substantially larger than the 25--50% suggested by our analysis.