Events on Monday, February 17th, 2025
- Atomic Physics Seminar
- Title to be announced
- Time: 11:00 am - 12:00 pm
- Place: 5310 Chamberlin
- Speaker: Dr. Haocun Yu, University of Vienna, Austria
- Host: Mark Saffman
- Plasma Physics (Physics/ECE/NE 922) Seminar
- "Solar wind turbulence in the young solar wind"
- Time: 12:00 pm - 1:15 pm
- Place: 1227 Engineering Hall
- Speaker: Anna Tenerani, University of Texas at Austin
- Abstract: The solar corona is a magnetized plasma at temperatures above a million degrees expanding into interplanetary space through the solar wind, which fills our solar system by generating the heliosphere. Although decades of remote and in-situ observations have enabled significant progress in our understanding of the solar corona and solar wind dynamics, the mechanisms underlying coronal heating and solar wind acceleration remain a fundamental unanswered question in space plasma physics. The NASA mission Parker Solar Probe, launched in August 2018, aims to find answers to these questions by measuring fields and particles’ energy at distances closer to the sun than any previous spacecraft. In this seminar, I will discuss how Parker Solar Probe, by flying to within 10 solar radii from the sun’s surface, has provided unprecedented observations of the young solar wind by reshaping our understanding of coronal heating and solar wind formation, including the role of waves and turbulence in solar wind dynamics.
- Host: Adelle Wright
- Physics Department Colloquium
- Special Monday Colloquium
- Future particle colliders: promise and challenges and how AI/ML can help
- Time: 4:00 pm - 5:00 pm
- Place: 5280 CH &
- Speaker: Prof. Ken Bloom, University of Nebraska - Lincoln
- Abstract: Particle colliders allow us to explore the smallest possible distance scales and learn essential truths about the origin and fate of the universe. The Large Hadron Collider, the premier collider of our time, has changed our understanding of particle physics, and set up an exciting future program at the High-Luminosity LHC and at more advanced colliders in the decades ahead. However, experiments at such colliders present many challenges, both in their operations and in the subsequent analysis of the large volumes of complex data that they produce. I’ll discuss the physics program that we will carry out, and how machine learning and artificial intelligence will help us address some of the challenges.
- Host: Sridhara Dasu