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Related papers: Applying machine learning to the Calabi-Yau orient…

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Using constraints from supersymmetry and string perturbation theory, we determine the string loop corrections to the hypermultiplet moduli space of type II strings compactified on a generic Calabi-Yau threefold. The corresponding…

High Energy Physics - Theory · Physics 2009-11-11 Daniel Robles-Llana , Frank Saueressig , Stefan Vandoren

We compute all loop topological string amplitudes on orientifolds of local Calabi-Yau manifolds, by using geometric transitions involving SO/Sp Chern-Simons theory, localization on the moduli space of holomorphic maps with involution, and…

High Energy Physics - Theory · Physics 2008-11-26 Vincent Bouchard , Bogdan Florea , Marcos Marino

We introduce a neural network inspired by Google's Inception model to compute the Hodge number $h^{1,1}$ of complete intersection Calabi-Yau (CICY) 3-folds. This architecture improves largely the accuracy of the predictions over existing…

High Energy Physics - Theory · Physics 2021-02-18 Harold Erbin , Riccardo Finotello

Compactifications with fluxes and branes motivate us to study various enumerative invariants of Calabi-Yau manifolds. In this paper, we study non-perturbative corrections depending on both open and closed string moduli for a class of…

High Energy Physics - Theory · Physics 2016-04-20 Yoshinori Honma , Masahide Manabe

Superstring theories are the most promising theories for unified description of all fundamental interactions including gravity. However, these theories are formulated consistently only in 10 spacetime dimensions. Therefore, to connect to…

High Energy Physics - Theory · Physics 2016-09-16 Sibasish Banerjee

MSSM-like string models from the compactification of the heterotic string on toroidal orbifolds (of the kind $T^6/P$) have distinct phenomenological properties, like the spectrum of vector-like exotics, the scale of supersymmetry breaking,…

High Energy Physics - Theory · Physics 2020-06-24 Erik Parr , Patrick K. S. Vaudrevange , Martin Wimmer

A large class of new 4-D superstring vacua with non-trivial/singular geometries, spacetime supersymmetry and other background fields (axion, dilaton) are found. Killing symmetries are generic and are associated with non-trivial dilaton and…

High Energy Physics - Theory · Physics 2007-05-23 E. Kiritsis , C. Kounnas , D. Lust

After orientifold projection, the conifold singularity in hypermultiplet moduli space of Calabi-Yau compactifications cannot be avoided by geometric deformations. We study the non-perturbative fate of this singularity in a local model…

High Energy Physics - Theory · Physics 2010-12-03 Kentaro Hori , Kazuo Hosomichi , David C. Page , Raul Rabadan , Johannes Walcher

We develop tools that allow the systematic enumeration of inequivalent holomorphic orientifolds of Calabi-Yau hypersurfaces in toric fourfolds of arbitrary Hodge numbers. As examples, we construct an orientifold of the Calabi-Yau…

High Energy Physics - Theory · Physics 2023-05-12 Jakob Moritz

We review compactifications of type IIB string theory which produce de Sitter vacua to leading order in the $\alpha^\prime$ and $g_s$ expansions in line with the scenario proposed by Kachru, Kallosh, Linde, and Trivedi. We detail specific…

High Energy Physics - Theory · Physics 2025-05-02 Andreas Schachner

The widespread deployment of deep nets in practical applications has lead to a growing desire to understand how and why such black-box methods perform prediction. Much work has focused on understanding what part of the input pattern (an…

Machine Learning · Computer Science 2023-01-31 Suryabhan Singh Hada , Miguel Á. Carreira-Perpiñán , Arman Zharmagambetov

Calabi-Yau (CY) manifolds play a ubiquitous role in string theory. As a supersymmetry-preserving choice for the 6 extra compact dimensions of superstring compactifications, these spaces provide an arena in which to explore the rich…

High Energy Physics - Theory · Physics 2024-01-01 Lara B. Anderson , James Gray , Magdalena Larfors

The problem of cleaning a messy table using Deep Neural Networks is a very interesting problem in both social and industrial robotics. This project focuses on the social application of this technology. A neural network model that is capable…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Sanjuksha Nirgude , Kevin DuCharme , Namrita Madhusoodanan

We implement machine learning algorithms to nuclear data. These algorithms are purely data driven and generate models that are capable to capture intricate trends. Gradient boosted trees algorithm is employed to generate a trained model…

Nuclear Theory · Physics 2019-07-24 Nishchal R. Dwivedi

We search for phenomenologically viable vacua of IIB string flux compactifications on Calabi-Yau orientifolds with a single Kaehler modulus. We perform both analytic studies and numerical searches in order to find models with de Sitter…

High Energy Physics - Theory · Physics 2015-05-28 Senarath de Alwis , Kevin Givens

Free quotients of Calabi-Yau manifolds play an important role in string compactification. In this paper, we explore machine learning techniques, such as fully connected neural networks and multi-head attention (MHA) models, as a potential…

High Energy Physics - Theory · Physics 2025-08-27 Wei Cui , Xin Gao , Mohsen Karkheiran , Juntao Wang

We consider splitting type phase transitions between Calabi-Yau fourfolds. These transitions generalize previously known types of conifold transitions between threefolds. Similar to conifold configurations the singular varieties mediating…

High Energy Physics - Theory · Physics 2009-10-30 Ilka Brunner , Monika Lynker , Rolf Schimmrigk

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

There is a growing demand for accurate high-resolution land cover maps in many fields, e.g., in land-use planning and biodiversity conservation. Developing such maps has been performed using Object-Based Image Analysis (OBIA) methods, which…

Computer Vision and Pattern Recognition · Computer Science 2017-06-06 Emilio Guirado , Siham Tabik , Domingo Alcaraz-Segura , Javier Cabello , Francisco Herrera

Understanding supersymmetric flux vacua is essential in order to connect string theory to observable physics. In this thesis, flux vacua are studied by making use of two mathematical frameworks: SU(n)-structures and generalised complex…

High Energy Physics - Theory · Physics 2016-03-10 Daniël Prins