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Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks

By Michał Kosiba and others
Galaxy clusters appear as extended sources in XMM-Newton images, but not all extended sources are clusters. So, their proper classification requires visual inspection with optical images, which is a slow process with biases that are almost impossible to model. We tackle this problem with a novel approach, using convolutional neural... Show more
August 2, 2020
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Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks
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