“Galaxy morphology auto classification”的版本间差异

来自cluster
跳到导航 跳到搜索
第33行： 第33行：
==links==
==links==
*THE COSMOSTATISTICS INITIATIVE [https://cosmostatistics-initiative.org/]
*THE COSMOSTATISTICS INITIATIVE [https://cosmostatistics-initiative.org/]
* Minutes of exercises on Galaxy Classification Meeting [http://cluster.shao.ac.cn/wiki/index.php?title=Galaxy_morphology_auto_classification&action=edit&section=6]

2021年4月22日 (四) 08:52的版本

  • 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

Seminors

datasets

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

tools

  • Morpheus [3]
  • DeepGalaxy (Deep learning to classify the properties of galaxy mergers) [4]
  • GalaxyMorphology [5]
  • lenstronomy [6]

references

  1. Deep learning for galaxy surface brightness profile fitting, MNRAS, Volume 475, Issue 1, March 2018 [7]
  2. The weirdest SDSS galaxies: results from an outlier detection algorithm, 2017,MNRAS,465,4530B, [8]
  3. An automatic taxonomy of galaxy morphology using unsupervised machine learning, 2018, MNRAS, 473, 1108, [9]
  4. Galaxy morphology classification with deep convolutional neural networks, 2019, Astrophysics and Space Science, Volume 364, Issue 4, article id. 55, [10]
  5. Machine and Deep Learning Applied to Galaxy Morphology -- A Comparative Study, 2020, Astronomy and Computing, Volume 30, article id. 100334, [11]
  6. Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey,2021,ApJS,252,18T,[12]
  7. Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band image, arXiv:2102.12776,[13]

links

  • THE COSMOSTATISTICS INITIATIVE [14]
取自“http://cluster.shao.ac.cn/wiki/index.php?title=Galaxy_morphology_auto_classification&oldid=4130”