Techniques from Bayesian generative statistical modeling can be applied to uncover hidden features in jet substructure observables that discriminate between different a priori unknown underlying physical processes in multi-jet events. In particular, I will discuss a mixed membership model known as Latent Dirichlet Allocation to build data-driven unsupervised jet taggers. I will compare this...
Compositeness due to a new confining gauge force may play roles in several sectors of physics beyond the Standard Model, including composite dark matter and composite Higgs bosons. Given the strongly-coupled nature of the new confining interaction, lattice gauge theory is the appropriate calculational technique. I will briefly review recent progress in this area, focusing on recent studies...
