“Galaxy morphology auto classification”的版本间差异
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#Deep learning for galaxy surface brightness profile fitting, MNRAS, Volume 475, Issue 1, March 2018 [https://academic.oup.com/mnras/article/475/1/894/4725057] |
#Deep learning for galaxy surface brightness profile fitting, MNRAS, Volume 475, Issue 1, March 2018 [https://academic.oup.com/mnras/article/475/1/894/4725057] |
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#The weirdest SDSS galaxies: results from an outlier detection algorithm, 2017,MNRAS,465,4530B, [https://ui.adsabs.harvard.edu/abs/2017MNRAS.465.4530B/abstract] |
#The weirdest SDSS galaxies: results from an outlier detection algorithm, 2017,MNRAS,465,4530B, [https://ui.adsabs.harvard.edu/abs/2017MNRAS.465.4530B/abstract] |
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#Galaxy morphology classification with deep convolutional neural networks, 2019, Astrophysics and Space Science, Volume 364, Issue 4, article id. 55, [https://arxiv.org/abs/1807.10406] |
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#Machine and Deep Learning Applied to Galaxy Morphology -- A Comparative Study, 2020, Astronomy and Computing, Volume 30, article id. 100334, [https://arxiv.org/abs/1901.07047] |
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#Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey,2021,ApJS,252,18T,[https://ui.adsabs.harvard.edu/abs/2021ApJS..252...18T/abstract] |
#Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey,2021,ApJS,252,18T,[https://ui.adsabs.harvard.edu/abs/2021ApJS..252...18T/abstract] |
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#Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band image, arXiv:2102.12776,[https://arxiv.org/abs/2102.12776] |
#Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band image, arXiv:2102.12776,[https://arxiv.org/abs/2102.12776] |
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2021年3月9日 (二) 07:19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
- Pixel-based deep learning technic
- Special objects from auto-classification
Seminors
datasets
tools
- Morpheus [3]
references
- Deep learning for galaxy surface brightness profile fitting, MNRAS, Volume 475, Issue 1, March 2018 [4]
- The weirdest SDSS galaxies: results from an outlier detection algorithm, 2017,MNRAS,465,4530B, [5]
- Galaxy morphology classification with deep convolutional neural networks, 2019, Astrophysics and Space Science, Volume 364, Issue 4, article id. 55, [6]
- Machine and Deep Learning Applied to Galaxy Morphology -- A Comparative Study, 2020, Astronomy and Computing, Volume 30, article id. 100334, [7]
- Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey,2021,ApJS,252,18T,[8]
- 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]