Events Daily

Thursday, May 25, 2023

Non-perturbative Interactions Between Dark Matter and Baryons: Scattering, Capture, and Experimental Constraints
Xingchen Xu
Event Type: Oral Defense
Time: 9:00 AM - 11:00 AM
Location: 726 Broadway, 902, Lg Conf
Abstract: COMMITTEE Professor Glennys Farrar (Thesis Advisor) Professor Yacine Ali-Haimoud Professor Paul Chaikin Professor Gregory Gabadadze Professor Jeremy Tinker

Observations spanning multiple astronomical scales point to the existence of an unknown form of matter
John Davis, University of Alberta
Event Type: Special Seminar
Time: 11:00 AM - 12:15 PM
Location: 726 Broadway, Room #1067
Abstract: *Hosted by CENTER FOR QUANTUM INFORMATION PHYSICS (CQIP)* Observations spanning multiple astronomical scales point to the existence of an unknown form of matter, dubbed “dark matter”, that constitutes over 85% of the mass of most galaxies. Recent theoretical insights into the possible nature of dark matter and how it interacts with normal matter have inspired a wide range of experimental efforts aimed at directly detecting dark matter. As part of this effort, we are developing small-scale experiments to search for multiple well-motivated “ultralight” dark matter candidates, placing much stronger bounds than are currently possible with high-cost and/or large-scale efforts. The core enabling technology relies on quantum-limited microwave cavity readout of mechanical motion in superfluid helium. I will tell you about the experiments that have led up to where we are now, and our current efforts with regards to this table-top dark matter search.

Event Type: HEP Discussion Sessions
Time: 2:00 PM - 4:00 PM
Location: 726 Broadway, 901, Sm Conf

AI-Driven Discoveries at the Frontiers of Cosmology
Ben Wandelt, IAP
Event Type: Astro Seminar
Time: 4:00 PM - 5:15 PM
Location: 726 Broadway, 940, CCPP Seminar
Abstract: Cosmologists strive to uncover the mysteries of the origin, composition, evolution, and fate of the cosmos from all the information the sky has to offer: the cosmic microwave background, galaxy surveys, exploding stars, and reverberations of space-time caused by colliding black holes and neutron stars. I will discuss new ways to connect cosmological theory and simulation with these data sets. Novel cosmological tests promise insights to classical cosmological questions; and Artificial Intelligence (AI) and Machine Learning are revolutionizing our ability to confront computational models with data, enabling end-to-end, quantitative Bayesian reasoning for problems that were previously deemed intractable. Very recently, AI has even begun to inspire novel cosmological insights. I will discuss the current status, promises, and challenges and outline a path towards achieving the goals of reconstructing the detailed initial conditions of the universe at its cosmic beginning, understanding the formation of cosmic structures, and probing the nature of dark matter and dark energy much more completely than ever before.

Link to the Event Video