Euclid preparation – XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

Keyphrases

• Physical Properties 100%
• Galaxies 100%
• H-band 100%
• Euclid 100%
• Deep Machine Learning 100%
• Star Formation Rate 50%
• Stellar Masses 50%
• Deep Learning 50%
• Convolutional Neural Network 33%
• Vera C. Rubin Observatory 33%
• Neural Network 16%
• Parameter Space 16%
• Spectral Energy Distribution 16%
• Training Samples 16%
• Machine Learning Techniques 16%
• Roman 16%
• Next Generation Telescope 16%
• Distribution Fitting 16%
• Normalized Error 16%

Physics

• Star Formation Rate 100%
• Stellar Mass 100%
• Machine Learning 100%
• Deep Learning Method 100%
• Convolutional Neural Network 66%
• Spectral Energy Distribution 33%
• Neural Network 33%