Deep learning on galaxy images: training dataset

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Revision as of 08:49, 11 November 2021 by Shen (talk | contribs) (→‎Mock galaxies)
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This page is used to collect the training dataset for deep learning applications on galaxy images.

If you want to contribute, please contact Shiyin Shen (ssy@shao.ac.cn)

local galaxy sample

  • galaxy zoo data [1]
  • Galaxy Zoo DECaLS[2]
  • stamps of SDSS main sample galaxies(r<17.77) in DESI [3]

high z galaxy sample

  • COSMOS F814W galaxy postages
  • CANDELS 5 fields galaxy postages (H<24.5)

Mock galaxies

  • generate using GalSim (with CSST-like survey parameters)
  • tel_diam=200mm, exptime=150s, lam=5500A, sky_mag=23, psf_sigma=0.2, gain=1, readnoise=5, pixel_scale=0.074
  • generate using GalSim-Hub[4]
  • A sample of CGS galaxies[5] manually move to high redshifts and observed in other surveys(PS1, SDSS stripe82, CANDELS_AEGIS , Hubble Frontier Fields: contact ssy@shao.ac.cn for more information
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