David Chen-Yu Shih
Collider Physics and Machine Learning
I will survey some recent applications of ML to the LHC and astrophysics, such as new methods for BSM searches and fast simulation at the LHC; and searching for stellar streams and measuring the local dark matter density using Gaia data.
David Marzocca
(INFN Trieste)
Collider Physics and Machine Learning
Collinear radiation emitted from high-energy leptons can be resummed by solving the corresponding DGLAP equations, resulting in parton distribution functions (PDFs) for leptons. When going above the EW scale, all SM interactions should be considered and the inclusion of EW interactions bring several novel features that are not present in QCD PDFs of a proton. In this talk I will discuss our...
