The Miller Lab at The University of Chicago

Complex objects often slip past our data filtering systems (triggers). By constructing extremely fast, sophisticated electronics systems that specifically search for these complex structures in real-time, we can recover these otherwise lost objects. This is the gFEX boosted object trigger for Run 3 of the LHC.

Though over a quarter of the mass-energy of the universe is widely thought to be some kind of non-luminous dark matter (DM), all experiments to date have failed to directly detect it, much less measure its properties. The milliQan experiment offers a new approach to detecting new fractionally-charged matter that could constitute a component of the dark matter.

Particle Physics has benefitted from, and in many ways strengthened and advanced, progress in AI/ML for decades due to its proliferation of enormous data sets, complex instrumentation, and computing infrastructure. Our group is engaged in efforts to target important problems relevant to the use of of machine learning, symmetries, and domain knowledge in particle physics.