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Related papers: Machine Learning Calabi-Yau Four-folds

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We investigate orientifolds of type II string theory on K3 and Calabi-Yau 3-folds with intersecting D-branes wrapping special Lagrangian cycles. We determine quite generically the chiral massless spectrum in terms of topological invariants…

High Energy Physics - Theory · Physics 2009-11-07 Ralph Blumenhagen , Volker Braun , Boris Kors , Dieter Lust

We investigate reinforcement learning and genetic algorithms in the context of heterotic Calabi-Yau models with monad bundles. Both methods are found to be highly efficient in identifying phenomenologically attractive three-family models,…

High Energy Physics - Theory · Physics 2021-11-16 Steven Abel , Andrei Constantin , Thomas R. Harvey , Andre Lukas

We explain how to form a novel dataset of simply connected Calabi-Yau threefolds via the Gross-Siebert algorithm. We expect these to degenerate to Calabi-Yau toric hypersurfaces with certain Gorenstein (not necessarily isolated)…

Algebraic Geometry · Mathematics 2021-09-22 Thomas Prince

Mirror symmetry, a phenomenon in superstring theory, has recently been used to give tentative calculations of several numbers in algebraic geometry. In this paper, the numbers of lines and conics on various hypersurfaces which satisfy…

alg-geom · Mathematics 2008-02-03 Sheldon Katz

We study the birational complexity of log Calabi-Yau $3$-folds. For such a pair $(X,B)$ of index one and coregularity zero, we show that $c_{\rm bir}(X,B)\in \{0,2,3\}$. Further, we prove that $(X,B)$ has a log Calabi-Yau crepant birational…

Algebraic Geometry · Mathematics 2024-05-30 Joaquín Moraga

We derive global constraints on the non-BPS sector of supersymmetric 2d sigma-models whose target space is a Calabi-Yau manifold. When the total Hodge number of the Calabi-Yau threefold is sufficiently large, we show that there must be…

High Energy Physics - Theory · Physics 2015-06-11 Christoph A. Keller , Hirosi Ooguri

We investigate Hodge-theoretic properties of Calabi-Yau complete intersections $V$ of $r$ semi-ample divisors in $d$-dimensional toric Fano varieties having at most Gorenstein singularities. Our main purpose is to show that the…

alg-geom · Mathematics 2008-02-03 Victor V. Batyrev , Lev A. Borisov

The special geometries of two recently discovered Calabi-Yau threefolds with $h^{11}=1$ are analyzed in detail. These correspond to the 'minimal three-generation' manifolds with $h^{21}=4$ and the `24-cell' threefolds with $h^{21}=1$. It…

High Energy Physics - Theory · Physics 2015-12-29 Volker Braun , Philip Candelas , Xenia de la Ossa

We investigate topological properties of Calabi-Yau fourfolds and consider a wide class of explicit constructions in weighted projective spaces and, more generally, toric varieties. Divisors which lead to a non-perturbative superpotential…

High Energy Physics - Theory · Physics 2010-04-06 A. Klemm , B. Lian , S. -S. Roan , S. -T. Yau

We construct a fully interacting holomorphic/topological theory in eleven dimensions that is defined on products of Calabi-Yau fivefolds with real one-manifolds. The theory describes a particular deformation of the cotangent bundle to the…

Mathematical Physics · Physics 2023-07-26 Surya Raghavendran , Ingmar Saberi , Brian R. Williams

We present results from an inductive algebraic approach to the systematic construction and classification of the `lowest-level' CY3 spaces defined as zeroes of polynomial loci associated with reflexive polyhedra, derived from suitable…

High Energy Physics - Theory · Physics 2009-09-11 F. Anselmo , J. Ellis , D. V. Nanopoulos , G. Volkov

Machine learning models differ in terms of accuracy, computational/memory complexity, training time, and adaptability among other characteristics. For example, neural networks (NNs) are well-known for their high accuracy due to the quality…

Machine Learning · Computer Science 2020-08-05 Mahdi Nazemi , Amirhossein Esmaili , Arash Fayyazi , Massoud Pedram

Manifold learning now plays a very important role in machine learning and many relevant applications. Although its superior performance in dealing with nonlinear data distribution, data sparsity is always a thorny knot. There are few…

Machine Learning · Computer Science 2019-09-17 Shenglan Liu , Yang Yu , Yang Liu , Hong Qiao , Lin Feng , Jiashi Feng

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

In this work, we provide evidence for a duality between 4-dimensional Calabi-Yau compactifications of the heterotic string, in which the base manifolds are linked by a conifold transition. In recent work, a geometric proposal was put…

High Energy Physics - Theory · Physics 2025-12-23 Lara B. Anderson , James Gray , Sunit A. Patil , Caoimhín Scanlon

We develop numerical algorithms for solving the Einstein equation on Calabi-Yau manifolds at arbitrary values of their complex structure and Kahler parameters. We show that Kahler geometry can be exploited for significant gains in…

High Energy Physics - Theory · Physics 2009-11-11 Matthew Headrick , Toby Wiseman

We obtain constraints from black hole superradiance in an ensemble of compactifications of type IIB string theory. The constraints require knowing only the axion masses and self-interactions, and are insensitive to the cosmological model.…

High Energy Physics - Theory · Physics 2021-04-27 Viraf M. Mehta , Mehmet Demirtas , Cody Long , David J. E. Marsh , Liam McAllister , Matthew J. Stott

We provide an algorithm for computing a basis of homology of fibre products of elliptic surfaces over $\mathbb P^1$, along with the corresponding intersection product and period matrices. We use this data to investigate the Gamma conjecture…

Algebraic Geometry · Mathematics 2025-07-09 Eric Pichon-Pharabod

We study Kustin-Miller unprojections between Calabi-Yau threefolds or more precisely the geometric transitions they induce. We use them to connect many families of Calabi-Yau threefolds with Picard number one to the web of Calabi Yau…

Algebraic Geometry · Mathematics 2011-05-25 Michal Kapustka

We present new invariant machine learning models that approximate the Ricci-flat metric on Calabi-Yau (CY) manifolds with discrete symmetries. We accomplish this by combining the $\phi$-model of the cymetric package with non-trainable,…

High Energy Physics - Theory · Physics 2024-09-13 Yacoub Hendi , Magdalena Larfors , Moritz Walden