For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater complexity.
The ATLAS collaboration recently measured the strength of the strong force to a record level of precision, but there’s still a long way to go toward understanding this fundamental force.
As upgrades enable the LHC to produce more and more particle collisions, physicists are using machine learning to keep up with the growing task of sorting through everything.
The Siena Galaxy Atlas will be a tool for research into how galaxies form and evolve, gravitational waves, dark matter and the structure of our universe.
