Past Events

  • High Energy Seminar: "TBA"

    David Rittenhouse Laboratory, 2N36

    Mark Mezei (Princeton)

  • Condensed Matter seminar: "Roughness-induced criticality and the statistical mechanics of turbulence in pipes and soap films"

    David Rittenhouse Laboratory, A4

    Nigel Goldenfeld, University of Illinois

    Are fluid turbulence and critical phenomena analogous to one another? In this talk, I explain that this connection may be deeper than has been previously thought. Indeed, I argue that one can use these insights to understand turbulence, in an attempt to emulate the pattern of discovery which led to the solution of the phase transition problem.

  • Astro Seminar: "Towards Accurate Predictions for the Clustering of Galaxies in Redshift Space"

    David Rittenhouse Laboratory, A4

    Emanuele Castorina (Berkeley)

    The galaxy distribution across cosmic time contains a wealth of cosmological information. In the era of precision cosmology, galaxy surveys like DES,HSC,DESI,Euclid,LSST and others, would deliver very accurate measurements of cosmological observables, like the power spectrum or the correlation function. This incredible experimental effort requires the theory and modeling of the the clustering of large scale structure to reach the same level of accuracy, typically at the order of a %, over a wide range of scale. And there is no obvious path to this goal.

  • Math-Bio seminar: "Modeling RNA local splicing variations from large heterogeneous datasets"

    Carolyn Lynch Laboratory, 318

    Yoseph Barash, University of Pennsylvania

    Alternative splicing (AS) of genes is a key contributor to transcriptome variations and numerous disease. RNA-Seq experiments produce millions of short RNA reads and are commonly used to assess alternative splicing variations in one of two ways: Full gene isoform quantification, or relative abundance of binary AS events such as exon skipping. In this talk I will present a new framework we developed, based on gene splice graphs, to define, quantify and visualize splicing variations.

  • 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)

  • 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.