fowlie_5_minutes.pdf (2.51 MB)
0/0

Potential applications of machine learning in particle physics

Download (2.51 MB)
presentation
posted on 29.03.2018 by Andrew Fowlie
We, the GAMBIT collaboration, perform statistical analyses of models in particle physics. We must determine whether points in a high-dimensional parameter space are forbidden or allowed by a variety of experiments, including searches at the Large Hadron Collider. This is a computationally expensive calculation and could benefit from classification algorithms in ML. Finally, we must visualise and understand our high-dimensional parameter space; this could benefit from clustering and dimensional reduction.

History

Licence

Exports

Licence

Exports