Deep Learning in High Energy Physics

by Dr A Bevan (Queen Mary)

Wednesday 21 Nov 2018, 16:00 → 17:00 GB

Universe

Deep learning has captured the imagination of the general public and scientists alike. While this methodology is widely applicable is certainly is not a panacea. It has limitations like all methods, however there are also potential benefits. I will discuss our work on the application of deep learning algorithms to data from the LHC in the contexts of background suppression in the context of traditional-style analyses on ATLAS and work in progress on vision science applications for new physics searches on MoEDAL.