GalCatDiff applies category embeddings and a novel Astro-RAB block inside diffusion models to produce galaxy images whose color and size distributions match observations more closely than prior generative approaches.
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Strong bars correlate with massive red galaxies, boost central star formation in low-mass systems while quenching it in high-mass ones, and increase AGN incidence, supporting bar-driven gas inflow.
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Category-based Galaxy Image Generation via Diffusion Models
GalCatDiff applies category embeddings and a novel Astro-RAB block inside diffusion models to produce galaxy images whose color and size distributions match observations more closely than prior generative approaches.
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Investigating the Effects of Bars on Star Formation and Nuclear Activity of Galaxies Using DESI Survey Data
Strong bars correlate with massive red galaxies, boost central star formation in low-mass systems while quenching it in high-mass ones, and increase AGN incidence, supporting bar-driven gas inflow.