Portorož 2023: Particle Physics from Early Universe to Future Colliders

Session

Colliders, machine learning

Not scheduled

54. Some applications of ML to fundamental physics

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.

34. Standard Model PDFs for muon colliders

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...