Deep learning on galaxy images: training dataset

来自cluster
跳到导航 跳到搜索

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)

contact zhuchen@staff.shnu.edu.cn for more information

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
取自“http://cluster.shao.ac.cn/wiki/index.php?title=Deep_learning_on_galaxy_images:_training_dataset&oldid=4325”