With the discovery of the Higgs boson, all particles predicted by the Standard Model (SM) have been found. Still, there are phenomena which the SM cannot explain and the search for new physics is now more relevant than ever. Hypothetical new particles can hide in places in which experiments have not looked into, yet. At the LHC in particular, the presence of potential new heavy resonances decaying to hadronic final states is relatively poorly constrained compared to new physics searches in leptonic final states, mostly because of the huge SM background of gluon and quark production.
In this talk I will present recent work on searches for new physics using machine-learning (ML) techniques and jets, which are objects typically used to describe hadronic final states at the LHC. In particular I will focus on searches for low-mass (~10GeV<m<~500GeV) dark matter mediators, and algorithms to automatically look for new physics in exotics final states with high jet (and other objects) multiplicity."
IFIC seminar organizers