Using Wavelets to Remove Pile-Up at the LHC

If you read my previous post on using deep learning as a parton shower, you may have seen in the introduction that my original inspiration for creating that model was wavelet analysis of LHC collisions. Just before Christmas, Craig Wiglesworth and I put out another paper describing how to use wavelets to remove pile-up from […]

A Deep Learning Parton Shower in Fewer than 100 Lines of Python

In a recent paper, I have described how a deep learning network can be structured to behave in the same way as (a component of) the models of particle production that are used for proton-proton collisions at the Large Hadron Collider. The basic idea of a parton shower is that a single parton – that’s […]