How can we learn mathematical structures of physical systems? String compactifications as a tool
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If you have a question about this talk, please contact Benjamin Christopher Allanach.
As theoretical physicists we know that Mathematics is unreasonably effective in describing our dynamical systems. This effectiveness singles out relevant mathematical structures in optimisation searches for models. In this talk I give an overview on where we can successfully apply this to search for symmetries or integrable structures of dynamical systems. Then I discuss how we use these methods to explore mathematical structures in beyond the Standard Model physics. In particular, we will use the string theory landscape as a benchmark for ML methods to search for new structures in this space.
This talk is part of the HEP phenomenology joint Cavendish-DAMTP seminar series.
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