Results 41 to 50 of about 13,014 (293)

Invariant representation driven neural classifier for anti-QCD jet tagging

open access: yesJournal of High Energy Physics, 2022
We leverage representation learning and the inductive bias in neural-net-based Standard Model jet classification tasks, to detect non-QCD signal jets. In establishing the framework for classification-based anomaly detection in jet physics, we demonstrate
Taoli Cheng, Aaron Courville
doaj   +1 more source

Jet Substructure Without Trees [PDF]

open access: yes, 2011
We present an alternative approach to identifying and characterizing jet substructure. An angular correlation function is introduced that can be used to extract angular and mass scales within a jet without reference to a clustering algorithm.
A Abdesselam   +34 more
core   +2 more sources

Associations of Sleep and Shift Work with Osteoarthritis Risk

open access: yesArthritis Care &Research, Accepted Article.
Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships between circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000‐person cohort, we evaluated associations between sleep duration, sleeplessness/insomnia, and ...
Elizabeth L. Yanik   +5 more
wiley   +1 more source

Azimuthal decorrelation between a jet and a Z boson at hadron colliders

open access: yesJournal of High Energy Physics, 2022
We revisit the azimuthal decorrelation δϕ between a jet and a Z boson produced at hadron colliders. Employing different recombination schemes for the jets leads to significantly different NLL-resummed predictions for the distribution of this quantity ...
Hamza Bouaziz   +2 more
doaj   +1 more source

Structure of Fat Jets at the Tevatron and Beyond

open access: yes, 2011
Boosted resonances is a highly probable and enthusiastic scenario in any process probing the electroweak scale. Such objects when decaying into jets can easily blend with the cornucopia of jets from hard relative light QCD states.
A. Abdesselam   +72 more
core   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Studying hadronization at LHCb

open access: yesSciPost Physics Proceedings, 2022
LHCb is a fully instrumented forward spectrometer with particle identification and muon reconstruction covering the pseudorapidity ($eta$) range from 2 to 5.
Sookhyun Lee
doaj   +1 more source

Jet-Images: Computer Vision Inspired Techniques for Jet Tagging

open access: yes, 2015
We introduce a novel approach to jet tagging and classification through the use of techniques inspired by computer vision. Drawing parallels to the problem of facial recognition in images, we define a jet-image using calorimeter towers as the elements of
Cogan, Josh   +3 more
core   +1 more source

An Adaptive Human Pilot Model With Reaction Time Delay for Enhanced Adaptive Control in Piloted Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

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