DREAMS
Dark Matter and Astrophysics with Machine learning and Simulations
The DREAMS project
DREAMS stands for DaRk mattEr with AI and siMulationS, and it is a project designed to combine astrophysics with particle physics through machine learning in order to shed light on the nature of dark matter and to learn about the physics that shapes the Universe on small scales. For this purpose, DREAMS will generate thousands of state-of-the-art hydrodynamic simulations with different astrophysics and dark matter models on different environments.
The main goals of the DREAMS projects are:
- To shed light on the nature and properties of dark matter
- To understand the physics that governs the Universe on small scales
To accomplish these goals, DREAMS will run a very large set of state-of-the-art hydrodynamic simulations and explore them with machine learning. The simulations will explore different regimes, from cosmological boxes to dwarf galaxies, and will be run with different dark matter models while varying uncertain astrophysical processes such as the efficiency of supernova feedback.
