Tracking down the origin of superbubbles and supergiant shells in the Magellanic Clouds with Minkowski tensor analysis
Caroline Collischon, Manami Sasaki, Klaus Mecke, Sean D. Points,, Michael A. Klatt

TL;DR
This paper introduces an automated method using Minkowski tensors to detect and analyze interstellar bubbles and shells in the Magellanic Clouds, revealing their correlation with star formation and supernova remnants.
Contribution
The study develops a novel, automated bubble detection technique based on Minkowski functionals and tensors applied to optical emission images of the Magellanic Clouds.
Findings
Detected numerous bubbles and shells correlating with star-forming regions.
Identified limitations in detection due to surrounding emission and size.
Revealed large-scale filamentary structures in the SMC.
Abstract
We develop an automatic bubble-recognition routine based on Minkowski functionals (MF) and tensors (MT) to detect bubble-like interstellar structures in optical emission line images. Minkowski functionals and MT are powerful mathematical tools for parameterizing the shapes of bodies. Using the papaya2-library, we created maps of the desired MF or MT of structures at a given window size. We used maps of the irreducible MT , which is sensitive to elongation, to find filamentary regions in H, [SII], and [OIII] images of the Magellanic Cloud Emission Line Survey (MCELS). Using the phase of , we were able to draw lines perpendicular to each filament and thus obtain line-density maps. This allowed us to find the center of a bubble-like structure and to detect structures at different window sizes. The detected bubbles in all bands are spatially correlated to the…
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