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What is Machine Learning for NUV Magnitudes in Galaxies about?

This study presents a census of compact galaxies, termed nuggets, at redshift z=0, utilizing machine learning to estimate near-ultraviolet (NUV) magnitudes and enhance the dataset from the RESOLVE and ECO surveys. The findings indicate that green nuggets, which are in a transitional phase of quenching, show higher active galactic nuclei (AGN) frequencies compared to blue and red nuggets, particularly above a certain halo mass threshold. The research aims to clarify the role of AGN in both permanent and temp

Author

adam

Language

EN