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BIMSA String Theory Seminar
BIMSA String Theory Seminar
Machine learning for geometry and string compactifications
Machine learning for geometry and string compactifications
Organizer
Speaker
Anthony Ashmore
Time
Tuesday, November 14, 2023 4:00 PM - 5:00 PM
Venue
A3-3-201
Online
Zoom 928 682 9093
(BIMSA)
Abstract
Understanding Calabi-Yau metrics and hermitian Yang-Mills connections has long been a challenge in mathematics and theoretical physics. These geometric objects play a crucial role in constructing realistic models of particle physics in string theory. However, with no closed-form expressions for them, we are unable to compute basic quantities in top-down string models, such as particle masses and couplings. Breakthroughs in machine learning have opened a new path to tackle this problem. After recalling the relationship between these geometric ingredients and 4d effective field theory, I will review recent progress in using machine learning to calculate these metrics and connections numerically. Finally, I will highlight how this newly available geometric data can be used, including studying the spectrum of Laplace-type operators on a Calabi-Yau in the presence of a background gauge field.