Galaxy morphology auto classification

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

projects

started

• merger identification
• Pixel-based deep learning technic (Renhao Ye)
• Deep learning on galaxy morphology profile (QuanFeng Xu)
• Mock galaxy images for CSST (Zhu Chen)

possibilities

• Classification in parameter space (e.g. parameters from Sextractor)
• Special objects from auto-classification

Minutes

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

datasets

• galaxy pair catalog [2]
• deep learning on galaxy images: training dataset
• galaxy zoo data [3]

• Galaxy Zoo DECaLS[4]

• DESI Legacy Imaging Surveys [5]

Methods & Toos

• Non-Negative Matrix Factorization
• Image Fourier Power Spectrum
• Watershed (Image Segmentation)
• Morpheus [6]
• DeepGalaxy (Deep learning to classify the properties of galaxy mergers) [7]
• GalaxyMorphology [8]
• lenstronomy [9]
• Unsupervised Image Classification [10]
• Copulas [11]

references

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

links

• GPU server in SHAO [19]
• GPU server in ShNU
• THE COSMOSTATISTICS INITIATIVE [20]