2 papers
hep-ph2019
Preserving physically important variables in optimal event selections: A case study in Higgs physics
Philipp Windischhofer, Miha Zgubic, Daniela Bortoletto
Analyses of collider data, often assisted by modern Machine Learning methods, condense a number of observables into a few powerful discriminants for the separation of the targeted…
hep-ph2016
Vector Boson Fusion Searches for Dark Matter at the LHC
James Brooke, Matthew R. Buckley, Patrick Dunne +3
The vector boson fusion (VBF) event topology at the Large Hadron Collider (LHC) allows efficient suppression of dijet backgrounds and is therefore a promising target for new physic…