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Related papers: $JetCurry$ I. Reconstructing Three-Dimensional Jet…

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We present a comprehensive comparison of convolutional and transformer-based models for distinguishing quark and gluon jets using simulated jet images from Pythia 8. By encoding jet substructure into a three-channel representation of…

Data Analysis, Statistics and Probability · Physics 2026-02-03 Daeun Kim , Jiwon Lee , Wonjun Jeong , Hyeongwoo Noh , Giyeong Kim , Jaeyoon Cho , Geonhee Kwak , Seunghwan Yang , MinJung Kweon

Modern machine learning techniques, such as convolutional, recurrent and recursive neural networks, have shown promise for jet substructure at the Large Hadron Collider. For example, they have demonstrated effectiveness at boosted top or W…

High Energy Physics - Phenomenology · Physics 2018-10-17 Katherine Fraser , Matthew D. Schwartz

Very long baseline interferometry (VLBI) imaging of radio emission from extragalactic jets provides a unique probe of physical mechanisms governing the launching, acceleration, and collimation of relativistic outflows. The two-dimensional…

High Energy Astrophysical Phenomena · Physics 2016-11-02 F. Mertens , A. P. Lobanov , R. C. Walker , P. E. Hardee

In several jetted AGNs, structured jets have been observed. In particular spine-sheath configurations where the jet is radially divided into two or more zones of different flow velocities. We present a model based on the particle and…

High Energy Astrophysical Phenomena · Physics 2023-08-22 Margot Boughelilba , Anita Reimer , Lukas Merten , Jon-Paul Lundquist

We propose a new approach for constructing a 3D representation from a 2D wireframe drawing. A drawing is simply a parallel projection of a 3D object onto a 2D surface; humans are able to recreate mental 3D models from 2D representations…

Computer Vision and Pattern Recognition · Computer Science 2010-07-16 Kyle Johnson , Clayton Chang , Hod Lipson

Recent advances in deep convolutional neural networks (CNNs) have motivated researchers to adapt CNNs to directly model points in 3D point clouds. Modeling local structure has been proven to be important for the success of convolutional…

Computer Vision and Pattern Recognition · Computer Science 2018-11-20 Shiyi Lan , Ruichi Yu , Gang Yu , Larry S. Davis

Global millimetre VLBI allows detailed studies of the most central jet regions of AGN with unprecedent spatial resolution of a few 100-1000 Schwartzschild radii to be made. Study of these regions will help to answer the question how the…

Jet measurements in heavy ion collisions at low jet momentum can provide constraints on the properties of the quark gluon plasma but are overwhelmed by a significant, fluctuating background. We build upon our previous work which…

High Energy Physics - Experiment · Physics 2024-02-21 Tanner Mengel , Patrick Steffanic , Charles Hughes , Antonio Carlos Oliveira Da Silva , Christine Nattrass

Clustering is one of the most frequent problems in many domains, in particular, in particle physics where jet reconstruction is central in experimental analyses. Jet clustering at the CERN's Large Hadron Collider (LHC) is computationally…

High Energy Physics - Phenomenology · Physics 2022-08-30 Jorge J. Martínez de Lejarza , Leandro Cieri , Germán Rodrigo

Current observations have shown that astrophysical jets reveal strong signs of radial structure. They suggest that the inner region of the jet, the jet spine, consists of a low-density, fast-moving gas, while the outer region of the jet…

High Energy Astrophysical Phenomena · Physics 2015-06-15 S. Walg , A. Achterberg , S. Markoff , R. Keppens , Z. Meliani

This paper presents a generalizable 3D plane detection and reconstruction framework named MonoPlane. Unlike previous robust estimator-based works (which require multiple images or RGB-D input) and learning-based works (which suffer from…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Wang Zhao , Jiachen Liu , Sheng Zhang , Yishu Li , Sili Chen , Sharon X Huang , Yong-Jin Liu , Hengkai Guo

Point cloud is a fundamental 3D representation which is widely used in real world applications such as autonomous driving. As a newly-developed media format which is characterized by complexity and irregularity, point cloud creates a need…

Computer Vision and Pattern Recognition · Computer Science 2019-05-10 Wei Yan , Yiting shao , Shan Liu , Thomas H Li , Zhu Li , Ge Li

In this paper, we address the problem of reconstructing an object's surface from a single image using generative networks. First, we represent a 3D surface with an aggregation of dense point clouds from multiple views. Each point cloud is…

Computer Vision and Pattern Recognition · Computer Science 2018-11-26 Jinglu Wang , Bo Sun , Yan Lu

Relativistic jets launched in binary neutron star (BNS) mergers are widely accepted as the engines powering most of the population of short gamma-ray bursts (GRBs). Understanding their structure and dynamics-particularly during and after…

High Energy Astrophysical Phenomena · Physics 2026-01-14 Emma Dreas , Om Sharan Salafia , Andrea Pavan , Riccardo Ciolfi , Annalisa Celotti

Motivated by the measured velocity profile of the M87 jet using the KVN and VERA Array (KaVA) by Park et al. indicating that the starting position of the jet acceleration is farther from the central engine of the jet than predicted in…

High Energy Astrophysical Phenomena · Physics 2022-11-16 Motoki Kino , Masaaki Takahashi , Tomohisa Kawashima , Jongho Park , Kazuhiro Hada , Hyunwook Ro , Yuzhu Cui

Gluon jets are identified in hadronic Z0 decays as all the particles in a hemisphere opposite to a hemisphere containing two tagged quark jets. Gluon jets defined in this manner are equivalent to gluon jets produced from a color singlet…

High Energy Physics - Experiment · Physics 2008-11-26 The OPAL Collaboration , G. Abbiendi et al

QCD-jets at the LHC are described by simple physics principles. We show how super-resolution generative networks can learn the underlying structures and use them to improve the resolution of jet images. We test this approach on massless…

High Energy Physics - Phenomenology · Physics 2021-12-03 Pierre Baldi , Lukas Blecher , Anja Butter , Julian Collado , Jessica N. Howard , Fabian Keilbach , Tilman Plehn , Gregor Kasieczka , Daniel Whiteson

We discuss jet substructure in recombination algorithms for QCD jets and single jets from heavy particle decays. We demonstrate that the jet algorithm can introduce significant systematic effects into the substructure. By characterizing…

High Energy Physics - Phenomenology · Physics 2014-11-20 Stephen D. Ellis , Christopher K. Vermilion , Jonathan R. Walsh

We study jet schemes of Newton non-degenerate plane curve singularities. We identify a subgraph of the graph of jet components and show that it can be constructed from walks on the lattice points in the first quadrant of the Cartesian…

Algebraic Geometry · Mathematics 2025-10-29 Ghadi Abdallah , Maximiliano Leyton-Álvarez , Bassam Mourad , Hussein Mourtada

Relativistic jets of radio loud active galactic nuclei (AGN) produce highly directed, intense beams of radiation. A fraction of this beamed radiation scatters on the thermal plasma generally surrounding an AGN. The morphology of the…

Astrophysics · Physics 2009-11-10 Conrad Cramphorn , Sergey Sazonov , Rashid Sunyaev