Research summary
The nature of dark matter is a key outstanding question in cosmology. Uncovering the properties of dark matter particles could yield significant leaps in our understanding of fundamental physics and the natural world.
Measuring the clustering of dark matter on sub-galactic scales could help reveal its particle properties. As Canada Research Chair in Astrophysical Data Analysis and Machine Learning, Dr. Yashar Hezaveh aims to map the distribution of dark matter on these poorly understood scales with high precision. He and his research team are measuring the temperature of the dark matter particles and quantifying the abundance of dark matter sub-halos in distant galaxies. This will help us understand the small-scale behaviour of dark matter and open a new window for testing dark matter models.