Characterizing 4-string contact interaction using machine learning
Abstract 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 s...
Main Authors: | Harold Erbin, Atakan Hilmi Fırat |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-04-01
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Series: | Journal of High Energy Physics |
Subjects: | |
Online Access: | https://doi.org/10.1007/JHEP04(2024)016 |
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