Physics and Astronomy Colloquium: "Light from Dark Matter through Cosmic History"
Tracy Slatyer (MIT)
84% of the matter in the universe is "dark", presently invisible to us except through its gravitational interactions. However, even tiny interactions between dark and visible matter could have striking…
High Energy seminar: "Dark Black Holes"
Sarah Shandera (Penn State University)
Gravitational wave detections of merging ultracompact objects provide a completely new way to constrain non-minimal dark matter models. If the dark matter consists of a rich spectrum of particles,…
Astrophysics seminar: "TBA"
Catherine Zucker (Space Telescope Science Institute)
Astrophysics seminar: "TBA"
Kareem El-Badry (Harvard University)
High Energy Theory seminar: "Symmetries of 3d QFTs from M-theory"
Marieke van Beest (Stony Brook University)
I will discuss the 4d Symmetry Topological Field Theory (Symmetry TFT) encoding generalized global symmetries and 't Hooft anomalies of 3d quantum fields theories with an M-theory realization. We will see…
Astrophysics seminar: "TBA"
Nikhil Padmanabhan (Yale University)
High Energy seminar: "Mass shift in lattice Hamiltonian approach to Schwinger model"
Silviu Pufu (Princeton University)
The Schwinger model, or quantum electrodynamics in 1+1 dimensions, is one of the simplest gauge theories. In this talk, I will first review a standard lattice discretization of this theory using the Kogut…
Thesis Defense: "From Master Equation to Free Energy Functionals with Applications to Diffusion"
Andrew Li (University of Pennsylvania)
Physics and Astronomy Colloquium: "Using Deep Learning as a Last Resort?!"
Shirley Ho (Flatiron Institute)
For the last 10 years, we have seen a rapid adoption of deep learning techniques across many disciplines, ranging from self-driving vehicles, credit card rating to biomedicine. Along with this wave, we…
Physics and Astronomy Colloquium: "How behavioral and evolutionary constraints sculpt early visual processing"
Stephanie Palmer (University of Chicago)
Biological systems must selectively encode partial information about the environment, as dictated by the capacity constraints at work in all living organisms. For example, we cannot see every feature of…