Millions of “universes” generated by supercomputers reveal the growth of black holes
How it works: Through trial and error, machine learning tests many different pairings of simulated galaxies and black holes created using different rules, then chooses the pairing that best matches real astronomical observations. Credit: H. Zhang, Wielgus et al. (2020), ESA/Hubble & NASA, A. Bellini Researchers at the University of Arizona have harnessed the power …
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