Multiwavelength classification of X-ray selected galaxy cluster - PowerPoint PPT Presentation

Multiwavelength classification of X-ray selected galaxy cluster candidates using convolutional neural networks Matej Kosiba CEA, Saclay 1 September 2020

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Conclusion ● 62% agreement between Zooniverse volunteers and experts, however an extremely pure sample of clusters (99% agreement). ● Our hand-made convolutional neural network achieved the best average accuracy, 90%. ● Future plans: - Galaxy cluster catalogue. - Object detection approach. - Utilisation of other wavelengths, radio, infrared and/or SZ effect. - Conducting cosmological studies. 14/14

Bonus Slides

Convolutional filters