Illustration of machine learning testing various models of black hole and galaxy formation (IMAGE)

University of Arizona

Illustration of machine learning testing various models of black hole and galaxy formation

Caption

How it works: Using trial and error, machine learning tests many different pairings of simulated galaxies and black holes created using different rules, and then chooses the pairing that best matches actual astronomical observations.

Credit

H. Zhang, Wielgus et al. (2020), ESA/Hubble & NASA, A. Bellini

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