Galaxy morphology auto classification

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Cluster讨论 | 贡献2021年3月9日 (二) 07:19的版本 →‎references
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  • This page makes collections for galaxy morphology auto classification project of CSST image survey

projects

  • Classification in parameter space (e.g. parameters from Sextractor)
  • Classification on images, CNN like technic
  • Pixel-based deep learning technic
  • Special objects from auto-classification

Seminors

datasets

  • galaxy zoo data [1]
  • DESI Legacy Imaging Surveys [2]

tools

references

  1. Deep learning for galaxy surface brightness profile fitting, MNRAS, Volume 475, Issue 1, March 2018 [4]
  2. The weirdest SDSS galaxies: results from an outlier detection algorithm, 2017,MNRAS,465,4530B, [5]
  3. Galaxy morphology classification with deep convolutional neural networks, 2019, Astrophysics and Space Science, Volume 364, Issue 4, article id. 55, [6]
  4. Machine and Deep Learning Applied to Galaxy Morphology -- A Comparative Study, 2020, Astronomy and Computing, Volume 30, article id. 100334, [7]
  5. Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey,2021,ApJS,252,18T,[8]
  6. Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band image, arXiv:2102.12776,[9]

links

  • THE COSMOSTATISTICS INITIATIVE [10]