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Moduli-dependent Calabi-Yau and SU(3)-structure metrics from machine learning

Abstract We use machine learning to approximate Calabi-Yau and SU(3)-structure metrics, including for the first time complex structure moduli dependence. Our new methods furthermore improve existing numerical approximations in terms of accuracy and speed. Knowing these metrics has numerous applicati...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Lara B. Anderson, Mathis Gerdes, James Gray, Sven Krippendorf, Nikhil Raghuram, Fabian Ruehle
Hōputu: Artigo
Reo:Inglês
I whakaputaina: SpringerOpen 2021-05-01
Rangatū:Journal of High Energy Physics
Ngā marau:
Urunga tuihono:https://doi.org/10.1007/JHEP05(2021)013
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