DeepShadows: Finding low-surface-brightness galaxies in survey images

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Ada Coda
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DeepShadows: Finding low-surface-brightness galaxies in survey images

Post by Ada Coda » Tue Dec 01, 2020 12:29 am

DeepShadows: Finding low-surface-brightness galaxies in survey images

Abstract: DeepShadows uses a convolutional neural networks (CNNs) to separate low-surface-brightness galaxies (LSBGs) from artifacts (such as Galactic cirrus and star-forming regions) in survey images. The model is trained and tested on labeled LSBGs and artifacts from the Dark Energy Survey and demonstrates that CNNs offer a promising path in the quest to study the low-surface-brightness universe.

Credit: Tanoglidis, Dimitrios; Ćiprijanović, Aleksandra; Drlica-Wagner, Alex

Site: https://github.com/dtanoglidis/DeepShadows
https://ui.adsabs.harvard.edu/abs/2020arXiv201112437T

Bibcode: 2020ascl.soft11026T

ID: ascl:2011.026

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