Past Events

  • High Energy Seminar: "AdS_2 Holography and Non-extremal Black Holes"

    David Rittenhouse Laboratory, 2N36

    Ioannis Papadimitriou (SISSA)

    I will present aspects of AdS_2 holography for a specific Einstein-Maxwell-Dilaton model that is obtained by Kaluza-Klein reduction from pure AdS_3 gravity with negative cosmological constant. In particular, I will derive the one-dimensional holographic dual for both running and constant dilaton solutions, and I will discuss the connection with the Sachdev-Ye-Kitaev model.

  • Condensed Matter seminar: "Optical Tools for Unraveling Whole-brain Neuronal Circuit Dynamics Underlying Behavior "

    David Rittenhouse Laboratory, A4

    Alipasha Vaziri, Rockefeller University

    Optical technologies have been transformative for our current understanding of structure and function of neuronal circuits underlying behavior and are in many cases the limiting factors for pushing our understanding of the brain forward. I will discuss two different areas of research in our lab in this context.

  • HE Experimental Physics: "Results from the DUNE 35-ton Prototype Detector"

    David Rittenhouse Laboratory, 2C8

    Jonathan Insler (Drexel University)

    The 35 ton prototype for the Deep Underground Neutrino Experiment (DUNE) far detector was a single phase liquid argon time projection chamber (LAr-TPC) integrated detector that took cosmics data for a six week run from February to the middle of March 2016. The 35 ton was built to test the liquid argon technologies to be used by the full size DUNE far detector in a fully integrated system.

  • Math-Bio seminar: "Structured latent factor models to recover interpretable networks from transcriptomic data"

    Carolyn Lynch Laboratory, 318

    Barbara Engelhardt, Princeton University

    Latent factor models have been the recent focus of much attention in "big data" applications because of their ability to quickly allow the user to explore the underlying data in a controlled and interpretable way. In genomics, latent factor models are commonly used to identify population substructure, identify gene clusters, and control noise in large data sets. In this talk I present a general framework for Bayesian latent factor models.

  • High Energy Seminar: "Entanglement, Holography and Causal Diamonds"

    David Rittenhouse Laboratory, 2N36

    Michal Heller (Perimeter Institute)

  • Department Colloquium: "Perturbation and Control of Human Brain Network Dynamics"

    David Rittenhouse Laboratory, A8

    Danielle Bassett (UPenn), Hosted by: Andrea Liu

    The human brain is a complex organ characterized by heterogeneous patterns of interconnections. New non-invasive imaging techniques now allow for these patterns to be carefully and comprehensively mapped in individual humans, paving the way for a better understanding of how wiring supports our thought processes.

  • Condensed Matter seminar: "Unusual Fluctuations and Absorbing States"

    David Rittenhouse Laboratory, A4

    Dov Levine, Technion – Israel Institute of Technology

    Absorbing state models are far-from-equilibrium many-body systems which exhibit a phase transition with characteristics similar to those of a continuous equilibrium transition.  One major difference, however, which we have recently discovered, is that as the critical point is approached, spatial particle fluctuations decrease, resulting in a hyperuniform distribution with long-range correlations.  The effects of noise on these results will be discussed as well.

  • Astro Seminar: "Cosmology Constrains the Standard Model and Beyond!

    David Rittenhouse Laboratory, A4

    Amol Upadhye (University of Wisconsin-Madison)

    Neutrinos are Standard Model particles whose mass splittings are known, but whose absolute mass scale remains a mystery.  Cosmology provides the best upper bound on the sum of masses, 0.23 eV, a number intriguingly close to the dark energy scale, and promises to measure the neutrino masses over the next decade.  I describe the effects of massive neutrinos and evolving dark energy on the power spectrum of large-scale structure.  Working in the framework of higher-order cosmological perturbation theory, I show that the power spectrum in a wide variety of dark energy mod

  • Fall Semester Physics and Mathematics Tutoring

    Education Commons 235

    Group tutoring sessions.



  • Postponed Physics & Astronomy Exam

    DRL A1