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[ascl:2108.018] Cosmic-CoNN: Cosmic ray detection toolkit
Cosmic-CoNN detects cosmic rays (CR) in CCD-captured astronomical images. It offers a PyTorch deep-learning framework to train generic, robust CR detection models for ground- and space-based imaging data as well as spectroscopic observations. Cosmic-CoNN also includes a suite of tools, including console commands, a web app, and Python APIs, to make deep-learning models easily accessible.
Code site:
https://github.com/cy-xu/cosmic-conn https://pypi.org/project/cosmic-conn/
Described in:
https://ui.adsabs.harvard.edu/abs/2023ApJ...942...73X
Bibcode:
2021ascl.soft08018X
Preferred citation method:
https://ui.adsabs.harvard.edu/abs/2023ApJ...942...73X ; if using the Cosmic-CoNN ground_imaging model or data, also cite the LCO CR dataset: https://doi.org/10.5281/zenodo.5034763

ascl:2108.018
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