Galaxy morphology auto classification

• This page makes collections for galaxy morphology auto classification project of CSST image survey

projects

started

• merger identification
• Morphology of Alfalfa galaxies
• Unsupervised classification on images
• bar features

possibilities

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

Meetings

• Mar. 4/2021
• Minutes of exercises on Galaxy Classification Meeting [1]

datasets

• galaxy zoo data [2]

• Galaxy Zoo DECaLS[3]

• DESI Legacy Imaging Surveys [4]
• galaxy pair catalog [5]

Methods

• Non-Negative Matrix Factorization
• Image Fourier Power Spectrum
• Auto-encoders (Rupesh)
• Watershed (Image Segmentation)

tools

• Morpheus [6]
• DeepGalaxy (Deep learning to classify the properties of galaxy mergers) [7]
• GalaxyMorphology [8]
• lenstronomy [9]
• Unsupervised Image Classification [10]

references

1. Deep learning for galaxy surface brightness profile fitting, MNRAS, Volume 475, Issue 1, March 2018 [11]
2. The weirdest SDSS galaxies: results from an outlier detection algorithm, 2017, MNRAS,465,4530B, [12]
3. An automatic taxonomy of galaxy morphology using unsupervised machine learning, 2018, MNRAS, 473, 1108, [13]
4. Galaxy morphology classification with deep convolutional neural networks, 2019, Astrophysics and Space Science, Volume 364, Issue 4, article id. 55, [14]
5. Machine and Deep Learning Applied to Galaxy Morphology -- A Comparative Study, 2020, Astronomy and Computing, Volume 30, article id. 100334, [15]
6. Shadows in the Dark: Low-surface-brightness Galaxies Discovered in the Dark Energy Survey,2021,ApJS,252,18T,[16]
7. Dwarfs from the Dark (Energy Survey): a machine learning approach to classify dwarf galaxies from multi-band image, arXiv:2102.12776,[17]

links

• THE COSMOSTATISTICS INITIATIVE [18]