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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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