Galaxy morphology auto classification

• 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

• Morphology of Alfalfa galaxies

• Pixel-based deep learning technic
• Special objects from auto-classification
• merger identification

Seminors

• Mar. 4/2021

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]