Characterizing 4-string contact interaction using machine learning

Characterizing 4-string contact interaction using machine learning

The geometry of 4-string contact interaction of closed string field theory is characterized using machine learning. We obtain Strebel quadratic differentials on 4-punctured spheres as a neural network by performing unsupervised learning with a custom-built loss function. This allows us to solve for...

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Bibliographic Details
Main Authors: Erbin, Harold, Fırat, Atakan Hilmi
Other Authors: Massachusetts Institute of Technology. Center for Theoretical Physics
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2024
Subjects:
Nuclear and High Energy Physics
Online Access:https://hdl.handle.net/1721.1/154088

Internet

https://hdl.handle.net/1721.1/154088

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