English
Related papers

Related papers: Polarization fraction measurement in same-sign WW …

200 papers

In this paper, we train a Convolutional Neural Network to classify longitudinally and transversely polarized hadronic $W^\pm$ using the images of boosted $W^{\pm}$ jets as input. The images capture angular and energy information from the…

High Energy Physics - Phenomenology · Physics 2021-02-11 Taegyun Kim , Adam Martin

In the standard model with electroweak symmetry breaking through the Higgs mechanism, electroweak gauge-boson scattering amplitudes are large if the Higgs boson is heavy, and electroweak gauge interactions become strong. In theories with…

High Energy Physics - Phenomenology · Physics 2015-05-14 Saurabh D. Rindani

Longitudinal polarisation of the weak bosons is a direct consequence of Electroweak symmetry breaking mechanism providing an insight into its nature, and is instrumental in searches for physics beyond the Standard Model. We perform a…

High Energy Physics - Phenomenology · Physics 2021-07-07 Rene Poncelet , Andrei Popescu

Gravitational-wave (GW) observations by a network of ground-based laser interferometric detectors allow us to probe the nature of GW polarizations. This would be an interesting test of general relativity (GR), since GR predicts only two…

General Relativity and Quantum Cosmology · Physics 2021-01-27 Srashti Goyal , K. Haris , Ajit Kumar Mehta , Parameswaran Ajith

We propose a sensitive way to test the anomalous HVV couplings (V=W^\pm, Z^0) of the Higgs boson (H), which can arise from either the dimension-3 effective operator in a nonlinearly realized Higgs sector or the dimension-6 effective…

High Energy Physics - Phenomenology · Physics 2007-05-23 H. -J. He , Y. -P. Kuang , C. -P. Yuan , B. Zhang

Higgs Effective Field Theory (HEFT) is deployed to study elastic vector-boson scattering at the high LHC energies. The interaction is strong over most of the parameter space, with the minimal Standard Model being a remarkable exception.…

High Energy Physics - Phenomenology · Physics 2019-10-29 Antonio Dobado , Felipe J. Llanes-Estrada , Alexandre Salas-Bernardez , Rafael L. Delgado

Lensed gravitational waves (GWs) provide a new window into the study of dark matter substructures, yet the faint interference signatures they produce are buried in detector noise. To address this challenge, we develop a deep learning…

Instrumentation and Methods for Astrophysics · Physics 2025-11-25 Mengfei Sun , Jie Wu , Jin Li , Nan Yang , Xianghe Ma , Borui Wang , Minghui Zhang , Yuanhong Zhong

We develop a novel deep learning method for uncertainty quantification in stochastic partial differential equations based on Bayesian neural network (BNN) and Hamiltonian Monte Carlo (HMC). A BNN efficiently learns the posterior…

Machine Learning · Statistics 2022-10-24 Jeahan Jung , Minseok Choi

What if only a light Higgs boson is discovered at the CERN LHC? Conventional wisdom tells us that the scattering of longitudinal weak gauge bosons would not grow strong at high energies. We show that this is not always true. In some…

High Energy Physics - Phenomenology · Physics 2008-11-26 Kingman Cheung , Cheng-Wei Chiang , Tzu-Chiang Yuan

We study scattering of the electroweak gauge bosons in 5D warped models. Within two different models we determine the precise manner in which the Higgs boson and the vector resonances ensure the unitarity of longitudinal vector boson…

High Energy Physics - Phenomenology · Physics 2009-04-21 Adam Falkowski , Stefan Pokorski , J. P. Roberts

The marriage of density functional theory (DFT) and deep learning methods has the potential to revolutionize modern computational materials science. Here we develop a deep neural network approach to represent DFT Hamiltonian (DeepH) of…

Materials Science · Physics 2023-01-02 He Li , Zun Wang , Nianlong Zou , Meng Ye , Runzhang Xu , Xiaoxun Gong , Wenhui Duan , Yong Xu

Over the last decade, scanning transmission electron microscopy (STEM) has emerged as a powerful tool for probing atomic structures of complex materials with picometer precision, opening the pathway toward exploring ferroelectric,…

Data Analysis, Statistics and Probability · Physics 2021-12-23 Ayana Ghosh , Christopher T. Nelson , Mark Oxley , Xiaohang Zhang , Maxim Ziatdinov , Ichiro Takeuchi , Sergei V. Kalinin

We investigate the potential to observe double parton scattering at the Large Hadron Collider in pp -> W bb X -> mu nu bb X at 7 TeV. Our analysis tests the efficacy of several kinematic variables in isolating the double parton process of…

High Energy Physics - Phenomenology · Physics 2011-09-29 Seth Quackenbush , Edmond L. Berger , C. B. Jackson , Gabe Shaughnessy

Many domains of high energy physics analysis are starting to explore machine learning techniques. Powerful methods can be used to identify and measure rare processes from previously insurmountable backgrounds. One of the most profound…

High Energy Physics - Phenomenology · Physics 2020-09-16 Benjamin Tannenwald , Christopher Neu , Ang Li , Gracemarie Buehlmann , Anna Cuddeback , Leigh Hatfield , Ruhi Parvatam , Colby Thompson

A novel deep neural network classifier, a ``Particle transformer'' (PaRT), is introduced for the identification of highly Lorentz-boosted resonances reconstructed as single, multipronged jets in measurements and searches performed by the…

High Energy Physics - Experiment · Physics 2026-04-14 CMS Collaboration

In this article, recent measurements of diffraction in deep inelastic scattering are presented along with QCD fits to extract the partonic structure of the exchange. These so-called diffractive parton density functions can then be used in…

High Energy Physics - Experiment · Physics 2008-12-08 M. Wing

We present a first proof-of-principle study for using deep neural networks (DNNs) as a novel search method for continuous gravitational waves (CWs) from unknown spinning neutron stars. The sensitivity of current wide-parameter-space CW…

General Relativity and Quantum Cosmology · Physics 2019-09-09 Christoph Dreissigacker , Rahul Sharma , Chris Messenger , Ruining Zhao , Reinhard Prix

A crucial test of the Standard Model is the measurement of electroweak gauge-boson scattering. In this paper, we describe a generic parameterization aimed at a realistic simulation of weak-boson scattering at the LHC. The parameterization…

High Energy Physics - Phenomenology · Physics 2010-02-03 Ana Alboteanu , Wolfgang Kilian , Juergen Reuter

This note presents the prospects of searches for new heavy resonances decaying to diboson (WW) and measurements of electroweak WW/WZ production via vector boson scattering (VBS) in association with a high-mass dijet system in the $\ell\nu…

High Energy Physics - Experiment · Physics 2018-12-04 V. Cavaliere , R. Les , T. Nitta , K. Terashi

In this work, we propose a novel learning-based method to jointly estimate the shape and subsurface scattering (SSS) parameters of translucent objects by utilizing polarization cues. Although polarization cues have been used in various…

Computer Vision and Pattern Recognition · Computer Science 2024-07-12 Chenhao Li , Trung Thanh Ngo , Hajime Nagahara