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Long lived topological features are distinguished from short lived ones (considered as topological noise) in simplicial complexes constructed from complex networks. A new topological invariant, persistent homology, is determined and…

Mathematical Physics · Physics 2009-11-13 Danijela Horak , Slobodan Maletic , Milan Rajkovic

We introduce a multiscale topological description of the Megaparsec weblike cosmic matter distribution. Betti numbers and topological persistence offer a powerful means of describing the rich connectivity structure of the cosmic web and of…

Cosmology and Nongalactic Astrophysics · Physics 2019-02-27 Pratyush Pranav , Herbert Edelsbrunner , Rien van de Weygaert , Gert Vegter , Michael Kerber , Bernard J. T. Jones , Mathijs Wintraecken

We present a topology-informed approach for classifying particle jets using persistent homology, a framework that captures the structural properties of point clouds. Particle jets produced in proton-proton collisions consist of cascades of…

High Energy Physics - Phenomenology · Physics 2026-01-06 Saurav Mittal

Persistent homology is a common technique in topological data analysis providing geometrical and topological information about the sample space. All this information, known as topological features, is summarized in persistence diagrams, and…

Methodology · Statistics 2022-04-05 Asael Fabian Martínez

Persistent Topology studies topological features of shapes by analyzing the lower level sets of suitable functions, called filtering functions, and encoding the arising information in a parameterized version of the Betti numbers, i.e. the…

Algebraic Topology · Mathematics 2010-05-05 Andrea Cerri , Patrizio Frosini

The predictions of mean-field electrodynamics can now be probed using direct numerical simulations of random flows and magnetic fields. When modelling astrophysical MHD, it is important to verify that such simulations are in agreement with…

Data Analysis, Statistics and Probability · Physics 2018-09-12 Irina Makarenko , Paul Bushby , Andrew Fletcher , Robin Henderson , Nikolay Makarenko , Anvar Shukurov

We present the relation between the genus in cosmology and the Betti numbers for excursion sets of three- and two-dimensional smooth Gaussian random fields, and numerically investigate the Betti numbers as a function of threshold level.…

We introduce a novel jet substructure method which exploits the variation of observables with respect to a sampling of phase-space boundaries quantified by the variability. We apply this technique to identify boosted W boson and top quark…

High Energy Physics - Phenomenology · Physics 2020-07-01 Yang-Ting Chien , Alex Emerman , Shih-Chieh Hsu , Samuel Meehan , Zachery Montague

Persistent homology is a powerful mathematical tool that summarizes useful information about the shape of data allowing one to detect persistent topological features while one adjusts the resolution. However, the computation of such…

Quantum Physics · Physics 2022-03-01 Bernardo Ameneyro , Vasileios Maroulas , George Siopsis

Using a set of $\Lambda$CDM simulations of cosmic structure formation, we study the evolving connectivity and changing topological structure of the cosmic web using state-of-the-art tools of multiscale topological data analysis (TDA). We…

We define an operation of jets on graphs inspired by the corresponding notion in commutative algebra and algebraic geometry. We examine a few graph theoretic properties and invariants of this construction, including chromatic numbers,…

Combinatorics · Mathematics 2022-03-09 Federico Galetto , Elisabeth Helmick , Molly Walsh

Topology is the foundation for many industrial applications ranging from CAD to simulation analysis. Computational topology mostly focuses on structured data such as mesh, however unstructured dataset such as point set remains a virgin land…

Computational Geometry · Computer Science 2023-03-14 Hao Wang

We apply techniques from Bayesian generative statistical modeling to uncover hidden features in jet substructure observables that discriminate between different a priori unknown underlying short distance physical processes in multi-jet…

High Energy Physics - Phenomenology · Physics 2019-09-24 Barry M. Dillon , Darius A. Faroughy , Jernej F. Kamenik

Torsion and Betti numbers for knots are special cases of more general invariants associated to a finitely generated group G and epimorphism from G to the integers. The sequence of Betti numbers is always periodic; under mild hypotheses, the…

Geometric Topology · Mathematics 2007-05-23 Daniel S. Silver , Susan G. Williams

The process by which jet algorithms construct jets and subjets is inherently ambiguous and equally well motivated algorithms often return very different answers. The Qjets procedure was introduced by the authors to account for this…

High Energy Physics - Phenomenology · Physics 2015-06-23 Stephen D. Ellis , Andrew Hornig , David Krohn , Tuhin S. Roy

We review the history of jets in high energy physics, and describe in more detail the developments of the past ten years, discussing new algorithms for jet finding and their main characteristics, and summarising the status of perturbative…

High Energy Physics - Phenomenology · Physics 2015-09-09 Matteo Cacciari

We give a survey of algorithms for computing topological invariants of semi-algebraic sets with special emphasis on the more recent developments in designing algorithms for computing the Betti numbers of semi-algebraic sets. Aside from…

Geometric Topology · Mathematics 2007-09-17 Saugata Basu

The geometry of jets of submanifolds is studied, with special interest in the relationship with the calculus of variations. A new intrinsic geometric formulation of the variational problem on jets of submanifolds is given. Working examples…

Differential Geometry · Mathematics 2008-07-02 Gianni Manno , Raffaele Vitolo

Topology describes properties of physical systems that remain constant under continuous deformations. For infinite vector waves, global topological invariants in position space are typically associated with periodic patterns. We demonstrate…

Jet substructure is typically studied using clustering algorithms, such as kT, which arrange the jets' constituents into trees. Instead of considering a single tree per jet, we propose that multiple trees should be considered, weighted by…

High Energy Physics - Phenomenology · Physics 2013-05-30 Stephen D. Ellis , Andrew Hornig , David Krohn , Tuhin S. Roy , Matthew D. Schwartz
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