Research Progress Meeting Date: May 28, 2024 Time: 4:00- 5:00 pm  Location: Sessler Conference Room- 50A-5132   Speaker: Deborah Harris (York/FNAL) Title: Precision Neutrino Oscillation Measurements: Are we there yet? Abstract: Neutrino Oscillations, one of the precious few signatures of beyond the standard model …

Speaker: Deborah Harris (York/FNAL) – Title: Precision Neutrino Oscillation Measurements: Are we there yet? Read More »

Research Progress Meeting Date: May 30, 2024 Time: 4:00- 5:00 pm Location: Sessler Conference Room- 50A-5132   Speaker: Emma Tolley (EPFL) Title: Radio Cosmology: Imaging the Cosmic Dawn Abstract: Radio astronomers are engaged in ambitious new projects to detect faster, fainter, and more distant astrophysical phenomena. …

Speaker: Emma Tolley (EPFL) – Title: Radio Cosmology: Imaging the Cosmic Dawn Read More »

Research Progress Meeting Date: June 6, 2024 Time: 4:00- 5:00 pm Location: Sessler Conference Room- 50A-5132   Speaker: Rachel Mannino (LLNL) Title: Dark Matter Searches with the Axion Dark Matter eXperiment (ADMX) Abstract: For decades, we have been collecting indirect astrophysical evidence that ordinary matter only …

Speaker: Rachel Mannino (LLNL) – Title: Dark Matter Searches with the Axion Dark Matter eXperiment (ADMX) Read More »

Research Progress Meeting Date: June 13, 2024 Time: 4:00- 5:00 pm Location: Sessler Conference Room- 50A-5132   Speaker: Brenda Frye (University of Arizona) Title: Measuring the Hubble-Lemaitre Constant with James Webb Space Telescope Observations of the Lensed Supernova H0pe Abstract: A review of cluster lensing in …

Speaker: Brenda Frye (University of Arizona) – Title: Measuring the Hubble-Lemaitre Constant with James Webb Space Telescope Observations of the Lensed Supernova H0pe Read More »

Research Progress Meeting Date: June 18, 2024 Time: 4:00- 5:00 pm  Location: Sessler Conference Room- 50A-5132   Speaker: David Miller (University of Chicago) Title: Black Boxes or Interpretable Models? Applications of Machine Learning, Symmetries, and Domain Knowledge to High-Dimensional Problems in Particle Physics. Abstract: …

Speaker: David Miller (University of Chicago) – Title: Black Boxes or Interpretable Models? Applications of Machine Learning, Symmetries, and Domain Knowledge to High-Dimensional Problems in Particle Physics. Read More »