Machine learning Sasakian and G2 topology on contact Calabi-Yau 7-manifolds

Machine learning Sasakian and G2 topology on contact Calabi-Yau 7-manifolds

We propose a machine learning approach to study topological quantities related to the Sasakian and G2-geometries of contact Calabi-Yau 7-manifolds. Specifically, we compute datasets for certain Sasakian Hodge numbers and for the Crowley-Nördstrom invariant of the natural G2-structure of the 7-dimens...

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Bibliographic Details
Main Authors: Daattavya Aggarwal, Yang-Hui He, Elli Heyes, Edward Hirst, Henrique N. Sá Earp, Tomás S.R. Silva
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Physics Letters B
Subjects:
G2-manifolds
Machine learning
Hodge numbers
Crowley-Nördstrom invariant
Contact Calabi-Yau manifolds
Online Access:http://www.sciencedirect.com/science/article/pii/S0370269324000753

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http://www.sciencedirect.com/science/article/pii/S0370269324000753

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