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We review recent developments concerning supersymmetric black holes in string theory. After a general introduction to the laws of black hole mechanics and to black hole entropy in string theory, we discuss black hole solutions in N=2…

High Energy Physics - Theory · Physics 2008-11-26 T. Mohaupt

Persistent homology is a mathematical tool used for studying the shape of data by extracting its topological features. It has gained popularity in network science due to its applicability in various network mining problems, including…

Algebraic Topology · Mathematics 2023-06-21 Mehmet Emin Aktas , Thu Nguyen , Rakin Riza , Muhammad Ifte Islam , Esra Akbas

A new construction of BPS monodromies for 4d ${\mathcal N}=2$ theories of class S is introduced. A novel feature of this construction is its manifest invariance under Kontsevich-Soibelman wall crossing, in the sense that no information on…

High Energy Physics - Theory · Physics 2017-06-02 Pietro Longhi

Computational topologists recently developed a method, called persistent homology to analyze data presented in terms of similarity or dissimilarity. Indeed, persistent homology studies the evolution of topological features in terms of a…

Quantitative Methods · Quantitative Biology 2017-08-01 Pavel Petrov , Stephen T Rush , Zhichun Zhai , Christine H Lee , Peter T Kim , Giseon Heo

The BPS sector in AdS_3/CFT_2 duality has been fertile ground for the exploration of gauge/gravity duality, from the match between black hole entropy and the CFT elliptic genus to the construction of large families of geometrical…

High Energy Physics - Theory · Physics 2023-05-10 Emil J. Martinec , Stefano Massai , David Turton

Symmetry plays a fundamental role in understanding natural phenomena and mathematical structures. This work develops a comprehensive theory for studying the persistent symmetries and degree of asymmetry of finite point configurations over…

Algebraic Topology · Mathematics 2025-08-12 Jian Liu , Dong Chen , Guo-Wei Wei

We study machine learning of phenomenologically relevant properties of string compactifications, which arise in the context of heterotic line bundle models. Both supervised and unsupervised learning are considered. We find that, for a fixed…

High Energy Physics - Theory · Physics 2020-03-31 Rehan Deen , Yang-Hui He , Seung-Joo Lee , Andre Lukas

Persistence diagrams offer a way to summarize topological and geometric properties latent in datasets. While several methods have been developed that utilize persistence diagrams in statistical inference, a full Bayesian treatment remains…

Methodology · Statistics 2019-08-08 Vasileios Maroulas , Farzana Nasrin , Christopher Oballe

This paper investigates the algebraic structure that exists on perturbative BPS-states in the superstring, compactified on the product of a circle and a Calabi-Yau fourfold. This structure was defined in a recent article by Harvey and…

High Energy Physics - Theory · Physics 2009-10-30 C. D. D. Neumann

We study the BPS black hole solutions of the (truncated) action for heterotic string theory compactified on a six-torus. The O(3,Z) duality symmetry of the theory, together with the bound state interpretation of extreme black holes, is used…

High Energy Physics - Theory · Physics 2010-11-19 M. Cadoni

Persistence diagram (PD) bundles, a generalization of vineyards, were introduced as a way to study the persistent homology of a set of filtrations parameterized by a topological space $B$. In this paper, we present an algorithm for…

Algebraic Topology · Mathematics 2023-09-21 Abigail Hickok

Many string theories contain states which are not BPS, but are stable due to charge conservation. In many cases the description of these states in the strong coupling limit remains unknown despite the existence of a weakly coupled dual…

High Energy Physics - Theory · Physics 2009-10-31 Ashoke Sen

We uncover novel features in the spectrum of BPS and near-BPS states in asymptotically $AdS_3 \times S^3 \times S^3 \times S^1$ spacetimes. This follows from a careful analysis of semiclassical and quantum black holes in this theory, which…

High Energy Physics - Theory · Physics 2025-12-18 Matthew Heydeman , Xiaoyi Shi , Gustavo J. Turiaci

Persistent homology provides a robust methodology to infer topological structures from point cloud data. Here we explore the persistent homology of point clouds embedded into a probabilistic setting, exploiting the theory of point…

Probability · Mathematics 2023-08-07 Daniel Spitz , Anna Wienhard

We compare the logarithm of the degeneracy of BPS saturated elementary string states and the string modified Bekenstein-Hawking entropy of the corresponding black holes in N=2 supersymmetric heterotic string compactification to four…

High Energy Physics - Theory · Physics 2009-10-30 Ashoke Sen

Persistent homology is a popular technique in topological data analysis that tracks the lifespans of homological features in a nested sequence of spaces. This data is typically presented in a multi-set called a persistence diagram or a…

Algebraic Topology · Mathematics 2025-11-26 Deni Salja

We point out that the moduli sector of the $(2,2)$ string compactification with its nonperturbatively preserved non-compact symmetries is a framework to study global topological defects. Based on the target space modular invariance of the…

High Energy Physics - Theory · Physics 2007-05-23 Mirjam Cvetic

I review my work together with Piljin Yi on the spectrum of BPS-saturated states in N = 2 supersymmetric Yang-Mills theories. In an M-theory description, such states are realized as certain two-brane configurations. We first show how the…

High Energy Physics - Theory · Physics 2015-06-26 Mans Henningson

The exact spectrum of dyons in a class of N=4 supersymmetric string theories is known to change discontinuously across walls of marginal stability. We show that the change in the degeneracy across the walls of marginal stability can be…

High Energy Physics - Theory · Physics 2009-04-17 Ashoke Sen

Persistent homology (PH) is a method used in topological data analysis (TDA) to study qualitative features of data that persist across multiple scales. It is robust to perturbations of input data, independent of dimensions and coordinates,…

Algebraic Topology · Mathematics 2017-09-13 Nina Otter , Mason A. Porter , Ulrike Tillmann , Peter Grindrod , Heather A. Harrington
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