DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks

@article{Ciprijanovic2020DeepMergeCH,
  title={DeepMerge: Classifying High-redshift Merging Galaxies with Deep Neural Networks},
  author={A. 'Ciprijanovi'c and G. Snyder and B. Nord and J. Peek},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.11981}
}
We investigate and demonstrate the use of convolutional neural networks (CNNs) for the task of distinguishing between merging and non-merging galaxies in simulated images, and for the first time at high redshifts (i.e. $z=2$). We extract images of merging and non-merging galaxies from the Illustris-1 cosmological simulation and apply observational and experimental noise that mimics that from the Hubble Space Telescope; the data without noise form a "pristine" data set and that with noise form a… Expand

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