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[ascl:2306.037] CADET: X-ray cavity detection tool

The machine learning pipeline CADET (CAvity DEtection Tool) finds and size-estimates arbitrary surface brightness depressions (X-ray cavities) on noisy Chandra images of galaxies. The pipeline is a self-standing Python script and inputs either raw Chandra images in units of counts (numbers of captured photons) or normalized background-subtracted and/or exposure-corrected images. CADET saves corresponding pixel-wise as well as decomposed cavity predictions in FITS format and also preserves the WCS coordinates; it also outputs a PNG file showing decomposed predictions for individual scales.

Code site:
https://github.com/tomasplsek/CADET
Described in:
https://ui.adsabs.harvard.edu/abs/2023arXiv230405457P
Bibcode:
2023ascl.soft06037P

Views: 697

ascl:2306.037
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