Numerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifolds

<p>We introduce neural networks (NNs) to compute numerical Ricci-flat Calabi–Yau (CY) metrics for complete intersection and Kreuzer–Skarke (KS) CY manifolds at any point in Kähler and complex structure moduli space, and introduce the package cymetric which provides computation realizations of...

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Main Authors: Larfors, M, Lukas, A, Ruehle, F, Schneider, R
Format: Journal article
Language:English
Published: IOP Publishing 2022
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author Larfors, M
Lukas, A
Ruehle, F
Schneider, R
author_facet Larfors, M
Lukas, A
Ruehle, F
Schneider, R
author_sort Larfors, M
collection OXFORD
description <p>We introduce neural networks (NNs) to compute numerical Ricci-flat Calabi–Yau (CY) metrics for complete intersection and Kreuzer–Skarke (KS) CY manifolds at any point in Kähler and complex structure moduli space, and introduce the package cymetric which provides computation realizations of these techniques. In particular, we develop and computationally realize methods for point-sampling on these manifolds. The training for the NNs is carried out subject to a custom loss function. The Kähler class is fixed by adding to the loss a component which enforces the slopes of certain line bundles to match with topological computations. Our methods are applied to various manifolds, including the quintic manifold, the bi-cubic manifold and a KS manifold with Picard number two. We show that volumes and line bundle slopes can be reliably computed from the resulting Ricci-flat metrics. We also apply our results to compute an approximate Hermitian–Yang–Mills connection on a specific line bundle on the bi-cubic.</p>
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spelling oxford-uuid:97a9b9b1-f1b7-42a5-b51e-c15fce434be22023-08-30T11:53:39ZNumerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifoldsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:97a9b9b1-f1b7-42a5-b51e-c15fce434be2EnglishSymplectic ElementsIOP Publishing 2022Larfors, MLukas, ARuehle, FSchneider, R<p>We introduce neural networks (NNs) to compute numerical Ricci-flat Calabi–Yau (CY) metrics for complete intersection and Kreuzer–Skarke (KS) CY manifolds at any point in Kähler and complex structure moduli space, and introduce the package cymetric which provides computation realizations of these techniques. In particular, we develop and computationally realize methods for point-sampling on these manifolds. The training for the NNs is carried out subject to a custom loss function. The Kähler class is fixed by adding to the loss a component which enforces the slopes of certain line bundles to match with topological computations. Our methods are applied to various manifolds, including the quintic manifold, the bi-cubic manifold and a KS manifold with Picard number two. We show that volumes and line bundle slopes can be reliably computed from the resulting Ricci-flat metrics. We also apply our results to compute an approximate Hermitian–Yang–Mills connection on a specific line bundle on the bi-cubic.</p>
spellingShingle Larfors, M
Lukas, A
Ruehle, F
Schneider, R
Numerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifolds
title Numerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifolds
title_full Numerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifolds
title_fullStr Numerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifolds
title_full_unstemmed Numerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifolds
title_short Numerical metrics for complete intersection and Kreuzer–Skarke Calabi–Yau manifolds
title_sort numerical metrics for complete intersection and kreuzer skarke calabi yau manifolds
work_keys_str_mv AT larforsm numericalmetricsforcompleteintersectionandkreuzerskarkecalabiyaumanifolds
AT lukasa numericalmetricsforcompleteintersectionandkreuzerskarkecalabiyaumanifolds
AT ruehlef numericalmetricsforcompleteintersectionandkreuzerskarkecalabiyaumanifolds
AT schneiderr numericalmetricsforcompleteintersectionandkreuzerskarkecalabiyaumanifolds