Difference between revisions of "Deep learning on galaxy images: training dataset"
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:* tel_diam=200mm, exptime=150s, lam=5500A, sky_mag=23, psf_sigma=0.2, gain=1, readnoise=5, pixel_scale=0.074 | :* tel_diam=200mm, exptime=150s, lam=5500A, sky_mag=23, psf_sigma=0.2, gain=1, readnoise=5, pixel_scale=0.074 | ||
;* Model: Sersic profile | ;* Model: Sersic profile | ||
*Mock galaxies generated using GalSim-Hub[https://arxiv.org/abs/2008.03833] | |||
Revision as of 08:15, 11 November 2021
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]
high z galaxy sample
Mock galaxies
- Mock galaxies generated 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
- Model: Sersic profile
- Mock galaxies generated using GalSim-Hub[4]