A multimodal neural network trained on MPA-JHU references produces SFR, stellar mass, and metallicity estimates for 547 million low-redshift galaxies in DESI LS DR10.
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Simulations of Euclid Deep Fields show that cosmic web structures can be reconstructed from H-alpha galaxies with biases from redshift distortions and selection effects that can be partially mitigated, allowing recovery of stellar mass gradients toward filaments.
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A Value-added Physical Properties Catalog for Low-redshift Galaxies from DESI Legacy Imaging Surveys DR10
A multimodal neural network trained on MPA-JHU references produces SFR, stellar mass, and metallicity estimates for 547 million low-redshift galaxies in DESI LS DR10.
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Euclid preparation. 3D reconstruction of the cosmic web with simulated Euclid Deep spectroscopic samples
Simulations of Euclid Deep Fields show that cosmic web structures can be reconstructed from H-alpha galaxies with biases from redshift distortions and selection effects that can be partially mitigated, allowing recovery of stellar mass gradients toward filaments.