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Related papers: Deep multi-task mining Calabi-Yau four-folds

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We present a generalization of the complete intersection in products of projective space (CICY) construction of Calabi-Yau manifolds. CICY three-folds and four-folds have been studied extensively in the physics literature. Their utility…

High Energy Physics - Theory · Physics 2016-05-04 Lara B. Anderson , Fabio Apruzzi , Xin Gao , James Gray , Seung-Joo Lee

We provide the first estimate of the number of fine, regular, star triangulations of the four-dimensional reflexive polytopes, as classified by Kreuzer and Skarke (KS). This provides an upper bound on the number of Calabi-Yau threefold…

High Energy Physics - Theory · Physics 2019-04-02 Ross Altman , Jonathan Carifio , James Halverson , Brent D. Nelson

Calabi-Yau manifolds can be obtained as hypersurfaces in toric varieties built from reflexive polytopes. We generate reflexive polytopes in various dimensions using a genetic algorithm. As a proof of principle, we demonstrate that our…

High Energy Physics - Theory · Physics 2024-05-07 Per Berglund , Yang-Hui He , Elli Heyes , Edward Hirst , Vishnu Jejjala , Andre Lukas

Using the Kreuzer-Skarke database of 4-dimensional reflexive polytopes, we systematically constructed a new database of orientifold Calabi-Yau threefolds with $h^{1,1}(X) \leq 12$. Our approach involved non-trivial $\mathbb{Z}_2$…

High Energy Physics - Theory · Physics 2024-07-04 Xu Cao , Hongfei Gao , Xin Gao

We introduce neural networks to compute numerical Ricci-flat CY metrics for complete intersection and Kreuzer-Skarke Calabi-Yau manifolds at any point in K\"ahler and complex structure moduli space, and introduce the package cymetric which…

High Energy Physics - Theory · Physics 2022-05-27 Magdalena Larfors , Andre Lukas , Fabian Ruehle , Robin Schneider

We propose machine learning inspired methods for computing numerical Calabi-Yau (Ricci flat K\"ahler) metrics, and implement them using Tensorflow/Keras. We compare them with previous work, and find that they are far more accurate for…

High Energy Physics - Theory · Physics 2021-05-06 Michael R. Douglas , Subramanian Lakshminarasimhan , Yidi Qi

We review briefly the characteristic topological data of Calabi--Yau threefolds and focus on the question of when two threefolds are equivalent through related topological data. This provides an interesting test case for machine learning…

High Energy Physics - Theory · Physics 2022-02-16 Vishnu Jejjala , Washington Taylor , Andrew Turner

Generalized Complete Intersection Calabi-Yau Manifold (gCICY) is a new construction of Calabi-Yau manifolds established recently. However, the generation of new gCICYs using standard algebraic method is very laborious. Due to this…

High Energy Physics - Theory · Physics 2023-04-19 Wei Cui , Xin Gao , Juntao Wang

In this work we construct an analytically completely integrable Hamiltonian system which is canonically associated to any family of Calabi-Yau threefolds. The base of this system is a moduli space of gauged Calabi-Yaus in the family, and…

alg-geom · Mathematics 2008-02-03 Ron Donagi , Eyal Markman

We prove a formula for the Hodge numbers of square-free divisors of Calabi-Yau threefold hypersurfaces in toric varieties. Euclidean branes wrapping divisors affect the vacuum structure of Calabi-Yau compactifications of type IIB string…

High Energy Physics - Theory · Physics 2017-12-18 Andreas P. Braun , Cody Long , Liam McAllister , Michael Stillman , Benjamin Sung

In these lecture notes, we survey the landscape of Calabi-Yau threefolds, and the use of machine learning to explore it. We begin with the compact portion of the landscape, focusing in particular on complete intersection Calabi-Yau…

High Energy Physics - Theory · Physics 2020-02-05 Jiakang Bao , Yang-Hui He , Edward Hirst , Stephen Pietromonaco

We apply machine learning to the problem of finding numerical Calabi-Yau metrics. Building on Donaldson's algorithm for calculating balanced metrics on K\"ahler manifolds, we combine conventional curve fitting and machine-learning…

High Energy Physics - Theory · Physics 2020-10-28 Anthony Ashmore , Yang-Hui He , Burt Ovrut

The aim of this paper is to construct Calabi-Yau 4-folds as crepant resolutions of the quotients of a hyperk\"ahler 4-fold $X$ by a non symplectic involution $\alpha$. We first compute the Hodge numbers of a Calabi-Yau constructed in this…

Algebraic Geometry · Mathematics 2016-07-11 Chiara Camere , Alice Garbagnati , Giovanni Mongardi

Calabi-Yau algebras are particularly symmetric differential graded algebras. There is a construction called `Calabi-Yau completion' which produces a canonical Calabi-Yau algebra from any homologically smooth dg algebra. Homologically smooth…

Representation Theory · Mathematics 2019-08-26 Nils Carqueville , Alexander Quintero Velez

It has been shown by Batyrev and Borisov that nef partitions of reflexive polyhedra can be used to construct mirror pairs of complete intersection Calabi--Yau manifolds in toric ambient spaces. We construct a number of such spaces and…

Algebraic Geometry · Mathematics 2015-06-26 Maximilian Kreuzer , Erwin Riegler , David Sahakyan

We apply machine learning to the problem of finding numerical Calabi-Yau metrics. We extend previous work on learning approximate Ricci-flat metrics calculated using Donaldson's algorithm to the much more accurate "optimal" metrics of…

High Energy Physics - Theory · Physics 2022-09-07 Anthony Ashmore , Lucille Calmon , Yang-Hui He , Burt A. Ovrut

We consider generalized complete intersection manifolds in the product space of projective spaces, and work out useful aspects pertaining to the cohomology of sheaves over them. First, we present and prove a vanishing theorem on the…

High Energy Physics - Theory · Physics 2020-05-11 Qiuye Jia , Hai Lin

We carry out a systematic analysis of Calabi-Yau threefolds that are elliptically fibered with section ("EFS") and have a large Hodge number h^{2, 1}. EFS Calabi-Yau threefolds live in a single connected space, with regions of moduli space…

High Energy Physics - Theory · Physics 2015-06-19 Samuel B. Johnson , Washington Taylor

Finding Ricci-flat (Calabi-Yau) metrics is a long standing problem in geometry with deep implications for string theory and phenomenology. A new attack on this problem uses neural networks to engineer approximations to the Calabi-Yau metric…

High Energy Physics - Theory · Physics 2024-06-10 Per Berglund , Giorgi Butbaia , Tristan Hübsch , Vishnu Jejjala , Damián Mayorga Peña , Challenger Mishra , Justin Tan

Ricci flat metrics for Calabi-Yau threefolds are not known analytically. In this work, we employ techniques from machine learning to deduce numerical flat metrics for the Fermat quintic, for the Dwork quintic, and for the Tian-Yau manifold.…

High Energy Physics - Theory · Physics 2021-01-28 Vishnu Jejjala , Damian Kaloni Mayorga Pena , Challenger Mishra