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We develop a Gaussian model to evaluate the decorated dipole and quadrupole operators that arise beyond the eikonal approximation in the Color Glass Condensate framework. While the method is general and applicable to arbitrary…

High Energy Physics - Phenomenology · Physics 2025-12-22 Pedro Agostini , Tolga Altinoluk , Néstor Armesto , Guillaume Beuf , Florian Cougoulic , Swaleha Mulani

This paper introduces a new systematic algorithm for constructing periodic Euclidean weaving diagrams with combinatorial arguments. It is shown that such a weaving diagram can be considered as a specific type of four-regular periodic planar…

Combinatorics · Mathematics 2022-06-24 Mizuki Fukuda , Motoko Kotani , Sonia Mahmoudi

Flip graphs of combinatorial and geometric objects are at the heart of many deep structural insights and connections between different branches of discrete mathematics and computer science. They also provide a natural framework for the…

We review a new theory of orthogonal separation of variables on pseudo-Riemannian spaces of constant zero curvature via concircular tensors and warped products. We then apply this theory to three-dimensional Minkowski space, obtaining an…

Mathematical Physics · Physics 2022-03-15 Carlos Valero , Raymond G. McLenaghan

Graphs are often used to model relationships between entities. The identification and visualization of clusters in graphs enable insight discovery in many application areas, such as life sciences and social sciences. Force-directed graph…

Human-Computer Interaction · Computer Science 2024-08-22 Nora Al-Naami , Nicolas Médoc , Matteo Magnani , Mohammad Ghoniem

A triangulation of a polygon is a subdivision of it into triangles, using diagonals between its vertices. Two different triangulations of a polygon can be related by a sequence of flips: a flip replaces a diagonal by the unique other…

Combinatorics · Mathematics 2024-02-12 Karin Baur , Diana Bergerova , Jenni Voon , Lejie Xu

For over twenty years, the term 'cosmic web' has guided our understanding of the large-scale arrangement of matter in the cosmos, accurately evoking the concept of a network of galaxies linked by filaments. But the physical correspondence…

Cosmology and Nongalactic Astrophysics · Physics 2018-04-26 Mark C. Neyrinck , Johan Hidding , Marina Konstantatou , Rien van de Weygaert

It is commonly assumed in percolation theories that at most one percolating cluster can exist in a network. We introduce sausage-like networks (SLNs), an ensemble of synthetic modular networks in which more than one percolating cluster can…

Disordered Systems and Neural Networks · Physics 2016-06-22 Ali Faqeeh , Sergey Melnik , Pol Colomer-de-Simón , James P. Gleeson

The aim of this work is to study the holographic dual to the gauge theory with a nonzero gluon condensate. We check for consistency the holographic way of describing the condensate and calculate the expectation value of a small Wilson loop…

High Energy Physics - Theory · Physics 2013-05-29 P. N. Kopnin , A. Krikun

Geometrical model of structure of the universe is examined to obtain analytical expression for the two points nonlinear correlation function. According to the model the objects (galaxies) are concentrated into two types of structure…

Astrophysics · Physics 2007-05-23 O. Buryak , A. Doroshkevich

We present circular and linear cross-correlation tests and the "friend-of-friend" analysis for phases of the Internal Linear Combination Map (ILC) and the WMAP foregrounds for all K--W frequency bands at the range of multipoles…

Astrophysics · Physics 2009-11-10 P. D. Naselsky , A. G. Doroshkevich , O. V. Verkhodanov

A novel family of twelve mixture models with random covariates, nested in the linear $t$ cluster-weighted model (CWM), is introduced for model-based clustering. The linear $t$ CWM was recently presented as a robust alternative to the better…

Computation · Statistics 2015-03-10 Salvatore Ingrassia , Simona C. Minotti , Antonio Punzo

We develop a general approach to finding combinatorial models for cluster algebras. The approach is to construct a labeled graph called a framework. When a framework is constructed with certain properties, the result is a model…

Combinatorics · Mathematics 2026-05-28 Nathan Reading , David E Speyer

Nonlinear coupling between inter- and intra-element dynamics appears as a collective behaviour of elements. The elements in this paper denote symptoms such as a bacterium having an internal network of genes and proteins, a reactive droplet,…

Physics and Society · Physics 2013-05-29 Dan Tanaka

Neural networks have become an increasingly popular tool for solving many real-world problems. They are a general framework for differentiable optimization which includes many other machine learning approaches as special cases. In this…

Machine Learning · Computer Science 2019-07-22 Bruno Gavranović

Many real world, complex phenomena have underlying structures of evolving networks where nodes and links are added and removed over time. A central scientific challenge is the description and explanation of network dynamics, with a key test…

Physics and Society · Physics 2014-08-15 Catherine A. Bliss , Morgan R. Frank , Christopher M. Danforth , Peter Sheridan Dodds

Complex networks describe a wide range of systems in nature and society. Frequently cited examples include Internet, WWW, a network of chemicals linked by chemical reactions, social relationship networks, citation networks, etc. The…

Physics and Society · Physics 2013-02-26 James Kim

We consider the correlator <W_n O(x)> of a light-like polygonal Wilson loop with n cusps with a local operator (like the dilaton or the chiral primary scalar) in planar N =4 super Yang-Mills theory. As a consequence of conformal symmetry,…

High Energy Physics - Theory · Physics 2015-05-28 L. F. Alday , E. I. Buchbinder , A. A. Tseytlin

We study complex networks in which the nodes of the network are tagged with different colors depending on the functionality of the nodes (colored graphs), using information theory applied to the distribution of motifs in such networks. We…

Quantitative Methods · Quantitative Biology 2011-11-08 Christoph Adami , Jifeng Qian , Matthew Rupp , Arend Hintze

Many neural nets appear to represent data as linear combinations of "feature vectors." Algorithms for discovering these vectors have seen impressive recent success. However, we argue that this success is incomplete without an understanding…

Artificial Intelligence · Computer Science 2024-07-23 Martin Wattenberg , Fernanda B. Viégas