Decoding the Environment of Most Energetic Sources in the Universe

Research Overview

Drs. Oleg Gnedin (Astronomy) and Xun Huan (Mechanical Engineering) lead the team to create machine learning models based on data from numerical simulations of the early universe, identify the properties of quasar spectral features, and infer the distribution of matter in the universe. Their work will help researchers look into the nature of supermassive black holes, the most enigmatic objects in the universe.

Research Team

Oleg Y. Gnedin, Department of Astronomy, University of Michigan

Xun Huan, Department of Mechanical Engineering, University of Michigan

Nickolay Y. Gnedin, Department of Astronomy and Astrophysics, University of Chicago and Fermilab

Maria Han Veiga, MIDAS Fellow, University of Michigan

https://midas.umich.edu/wp-content/uploads/sites/3/2020/06/universe-light.jpg