A catalog of automatically detected ring galaxy candidates in PanSTARRS
Ian Timmis, Lior Shamir

TL;DR
This paper presents an automated method for detecting ring galaxy candidates in large astronomical surveys, successfully identifying 185 candidates from millions of images in PanSTARRS.
Contribution
The authors developed a novel computer analysis technique combining filtering and thresholding to efficiently identify ring galaxy candidates in extensive survey data.
Findings
Detected 185 ring galaxy candidates in PanSTARRS data
Method processed approximately 3 million galaxy images
Demonstrated effectiveness of automated detection approach
Abstract
We developed and applied a computer analysis method to detect ring galaxy candidates in the first data release of PanSTARRS. The method works by applying a low-pass filter, followed by dynamic global thresholding to search for closed regions in the binary mask of each galaxy image. Applying the method to ~3*10^6 PanSTARRS galaxy images produced a catalog of 185 ring galaxy candidates based on their visual appearance.
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Advanced Vision and Imaging · Astronomical Observations and Instrumentation
