Digital Assets for "Morphological Parameters and Associated Uncertainties for 8 Million Galaxies in the Hyper Suprime-Cam Wide Survey"
收藏资源简介：
These are morphological catalogs and trained GaMPEN models for Hyper Suprime-Cam galaxies. Please refer to https://gampen.readthedocs.io/en/latest/Public_data.html and https://arxiv.org/abs/2212.00051 for more details about this data release. <strong>Catalog Files</strong> g_0_025_preds_summary.csv --> Structural parameter catalog for z < 0.25 HSC g-band galaxies r_025_050_preds_summary.csv --> Structural parameter catalog for 0.25 < z < 0.50 HSC r-band galaxies i_050_075_preds_summary.csv --> Structural parameter catalog for 0.50 < z < 0.75 HSC i-band galaxies <strong>Trained PyTorch Model Files</strong> g_0_025_real_data.pt --> Trained Model for z < 0.25 HSC g-band galaxies r_025_050_real_data.pt --> Trained Model for 0.25 < z < 0.50 HSC r-band galaxies i_050_075_real_data.pt --> Trained Model for 0.50 < z < 0.75 HSC i-band galaxies sim_g_0_025.pt --> Trained Model for Simulated z < 0.25 HSC g-band galaxies sim_r_025_050.pt --> Trained Model for Simulated 0.25 < z < 0.50 HSC r-band galaxies sim_i_050_075.pt --> Trained Model for Simulated 0.50 < z < 0.75 HSC i-band galaxies
