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Related papers: Factorization for Collider Dataspace Correlators

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Broadening is a classic jet observable that probes the transverse momentum structure of jets. Traditionally, broadening has been measured with respect to the thrust axis, which is aligned along the (hemisphere) jet momentum to minimize the…

High Energy Physics - Phenomenology · Physics 2015-06-18 Andrew J. Larkoski , Duff Neill , Jesse Thaler

Energy-correlator-based jet substructure has gained significant attention in recent years. One of the notable applications has been the study of multi-scale jets, where distinct physical scales manifest as features localised in different…

High Energy Physics - Phenomenology · Physics 2026-02-10 Jack Holguin , Ian Moult , Aditya Pathak , Massimiliano Procura , Siddharth Sule

Conformal symmetry has important consequences for strong interactions at short distances and provides powerful tools for practical calculations. Even if the Lagrangians of Quantum Chromodynamics (QCD) and Electrodynamics (QED) are invariant…

High Energy Physics - Theory · Physics 2022-11-30 Matteo Maria Maglio , Riccardo Tommasi

We predict cross sections in deep inelastic scattering (DIS) for the production of two jets---one along the proton beam direction created by initial state radiation (ISR) and another created by final state radiation after the hard…

High Energy Physics - Phenomenology · Physics 2013-09-12 Daekyoung Kang , Christopher Lee , Iain W. Stewart

We present the first computation of next-to-next-to-leading order (NNLO) pure QED and mixed QCD$\otimes$QED corrections to unpolarized and polarized semi-inclusive deep-inelastic scattering (SIDIS). Building on our previous NNLO QCD…

High Energy Physics - Phenomenology · Physics 2025-10-22 Saurav Goyal , Roman N. Lee , Sven-Olaf Moch , Vaibhav Pathak , V. Ravindran

We present a novel nonparametric algorithm for symmetry-based disentangling of data manifolds, the Geometric Manifold Component Estimator (GEOMANCER). GEOMANCER provides a partial answer to the question posed by Higgins et al. (2018): is it…

Machine Learning · Statistics 2020-11-19 David Pfau , Irina Higgins , Aleksandar Botev , Sébastien Racanière

We examine the accuracy of an intrinsically one-dimensional quantum electrodynamics to predict accurately the forces and charges of a three-dimensional system that has a high degree of symmetry and therefore depends effectively only on a…

Atomic Physics · Physics 2015-12-09 Q. Z. Lv , N. D. Christensen , Q. Su , R. Grobe

The $N$-point energy correlator measures the energy flux through $N$ detectors. We present a general framework that characterizes its full angular dependence in a series of \textit{spinning energy correlators}. These spinning correlators…

High Energy Physics - Phenomenology · Physics 2025-12-22 Marc Riembau , Minho Son

We study the clustering properties of the recently compiled SDSS cluster catalog using the two point correlation function in redshift space. We divide the total SDSS sample into two richness subsamples, roughly corresponding to Abell $R\ge…

Astrophysics · Physics 2009-11-07 S. Basilakos , M. Plionis

We derive a factorization formula for inclusive jet production in heavy-ion collisions using the tools of Effective Field Theory (EFT). We show how physics at widely separated scales in this process can be systematically separated by…

High Energy Physics - Phenomenology · Physics 2025-04-02 Yacine Mehtar-Tani , Felix Ringer , Balbeer Singh , Varun Vaidya

We investigate the collinear limit of the energy-energy correlator (EEC) in a heavy-ion context. First, we revisit the leading-logarithmic (LL) resummation of this observable in vacuum following a diagrammatic approach. We argue that this…

High Energy Physics - Phenomenology · Physics 2023-12-25 João Barata , Paul Caucal , Alba Soto-Ontoso , Robert Szafron

As an indicator of cooperative motion in a system of Brownian particles that models two-dimensional colloidal liquids, displacement correlation tensor is calculated analytically and compared with numerical results. The key idea for the…

Statistical Mechanics · Physics 2016-08-22 T. Ooshida , S. Goto , T. Matsumoto , M. Otsuki

Fractal geometry proved to be an effective mathematical tool for exploring real geographical space based on digital maps and remote sensing images. Whether the fractal theory tool can be applied to abstract geographical space has not been…

Physics and Society · Physics 2023-06-06 Yanguang Chen

Energy-energy correlators are constructed by averaging the number of charged particle pairs within jets, weighted by the product of their transverse momenta, as a function of the angular separation of the particles within a pair. They are…

Nuclear Experiment · Physics 2025-05-23 CMS Collaboration

The Earth Mover's Distance (EMD) is a state-of-the art metric for comparing discrete probability distributions, but its high distinguishability comes at a high cost in computational complexity. Even though linear-complexity approximation…

Machine Learning · Computer Science 2019-05-29 Kubilay Atasu , Thomas Mittelholzer

In this paper a spatially resolved, fully self-consistent SSC model is presented. The observable spectral energy distribution (SED) evolves entirely from a low energetic delta distribution of injected electrons by means of the implemented…

High Energy Astrophysical Phenomena · Physics 2012-07-19 Stephan Richter , Felix Spanier

By use of conformal field theory, we discover several exact factorizations of higher-order density correlation functions in critical two-dimensional percolation. Our formulas are valid in the upper half-plane, or any conformally equivalent…

Mathematical Physics · Physics 2008-11-26 Jacob J. H. Simmons , Peter Kleban , Robert M. Ziff

The main goal of this paper is to present the application of structural sums, mathematical objects originating from the computational materials science, in construction of a feature space vector of 2D random composites simulated by…

Computational Engineering, Finance, and Science · Computer Science 2019-06-19 Wojciech Nawalaniec

We present measurements of the spatial clustering statistics in redshift space of various scalar field modified gravity simulations. We utilise the two-point and the three-point correlation functions to quantify the spatial distribution of…

Cosmology and Nongalactic Astrophysics · Physics 2016-07-20 Cristiano G. Sabiu , David F. Mota , Claudio Llinares , Changbom Park

A procedure is presented to map from the spatial correlation parameters of a turbulent density field (the radial and binormal correlation lengths and wavenumbers, and the fluctuation amplitude) to correlation parameters that would be…

Plasma Physics · Physics 2017-04-05 M. F. J. Fox , A. R. Field , F. van Wyk , Y. -c. Ghim , A. A. Schekochihin , the MAST Team