中文
相关论文

相关论文: Machine Learning Based Top Quark and W Jet Tagging…

200 篇论文

We compare different jet-clustering algorithms in establishing fully hadronic final states stemming from the chain decay of a heavy Higgs state into a pair of the 125 GeV Higgs boson that decays into bottom-antibottom quark pairs. Such 4$b$…

高能物理 - 唯象学 · 物理学 2023-05-17 Amit Chakraborty , Srinandan Dasmahapatra , Henry Day-Hall , Billy Ford , Shubhani Jain , Stefano Moretti

We describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a light quark or a gluon. The end-to-end deep learning…

Precision studies for top quark physics are a cornerstone of the Large Hadron Collider program. Polarization, probed through decay kinematics, provides a unique tool to scrutinize the top quark across its various production modes and to…

高能物理 - 唯象学 · 物理学 2025-02-26 Zhongtian Dong , Dorival Gonçalves , Kyoungchul Kong , Andrew J. Larkoski , Alberto Navarro

Top taggers which identify and reconstruct boosted top quarks have been established as novel tools for a multitude of LHC analyses. We show how single top production in association with a light-flavor or bottom jet can be observed in the…

高能物理 - 唯象学 · 物理学 2013-05-30 Felix Kling , Tilman Plehn , Michihisa Takeuchi

We study the reconstruction of high p_T hadronically-decaying top quarks at the LHC. The main challenge in identifying energetic top quarks is that the decay products become increasingly collimated. This reduces the efficacy of conventional…

高能物理 - 唯象学 · 物理学 2009-06-11 Leandro G. Almeida , Seung J. Lee , Gilad Perez , Ilmo Sung , Joseph Virzi

Recent advancements in deep learning models have significantly enhanced jet classification performance by analyzing low-level features (LLFs). However, this approach often leads to less interpretable models, emphasizing the need to…

高能物理 - 唯象学 · 物理学 2024-07-30 Amon Furuichi , Sung Hak Lim , Mihoko M. Nojiri

Machine learning (ML) techniques have recently enabled enormous gains in sensitivity to new phenomena across the sciences. In particle physics, much of this progress has relied on excellent simulations of a wide range of physical processes.…

数据分析、统计与概率 · 物理学 2025-10-20 Malte Algren , Tobias Golling , Francesco Armando Di Bello , Christopher Pollard

Measurements are presented of the jet invariant mass and substructure in proton-proton collisions at sqrt{s} = 7 TeV with the ATLAS detector using an integrated luminosity of 37 pb-1. These results exercise the tools for distinguishing the…

高能物理 - 实验 · 物理学 2019-08-13 David W. Miller

We demonstrate the performance of a very efficient tagger applies on hadronically decaying top quark pairs as signal based on deep neural network algorithms and compares with the QCD multi-jet background events. A significant enhancement of…

高能物理 - 唯象学 · 物理学 2022-03-25 Ijaz Ahmed , Anwar Zada , Muhammad Waqas , M. U. Ashraf

A search for supersymmetry or other new physics resulting in similar final states is presented using a data sample of 4.73 inverse femtobarns of pp collisions collected at sqrt(s)=7 TeV with the CMS detector at the LHC. Fully hadronic final…

高能物理 - 实验 · 物理学 2013-05-01 CMS Collaboration

Mass measurements of objects that decay into hadronic jets, such as the top quark, are shown to be improved by using a variant of the $k_t$ jet algorithm in place of standard cone algorithms. The possibility and importance of better…

高能物理 - 唯象学 · 物理学 2009-10-28 Jon Pumplin

Recent results on jets and the hadronic final state from the HERA collaborations H1 and ZEUS are reviewed.

高能物理 - 实验 · 物理学 2014-11-17 T. Schoerner-Sadenius

In searches for new physics in the energy regime of the LHC, it is becoming increasingly important to distinguish single-jet objects that originate from the merging of the decay products of W bosons produced with high transverse momenta…

高能物理 - 实验 · 物理学 2014-12-10 CMS Collaboration

In time for the first tests on LHC data we introduce a set of improvements and tests of purely kinematic top tagging algorithms. First, we show how different jet algorithms can be used for different transverse momentum regimes. Combining…

高能物理 - 唯象学 · 物理学 2013-05-30 Tilman Plehn , Michael Spannowsky , Michihisa Takeuchi

The new version 6.1 of the HERWIG event generator allows one to simulate hadronic final states in electron-positron annihilations using the $O(\alpha_s^2)$ partonic matrix elements (MEs) for $e^+e^-\to q\bar qgg$ and $e^+e^-\to q\bar q…

高能物理 - 唯象学 · 物理学 2007-05-23 S. Moretti

We propose masked particle modeling (MPM) as a self-supervised method for learning generic, transferable, and reusable representations on unordered sets of inputs for use in high energy physics (HEP) scientific data. This work provides a…

高能物理 - 唯象学 · 物理学 2024-07-12 Tobias Golling , Lukas Heinrich , Michael Kagan , Samuel Klein , Matthew Leigh , Margarita Osadchy , John Andrew Raine

The identification of jets containing $b$ hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing $b$ hadrons are described, ranging from those…

高能物理 - 实验 · 物理学 2016-04-06 ATLAS Collaboration

Vectorlike quark partners appear in many BSM models and remain an important area of research, as they can offer insights into the electroweak symmetry breaking mechanism. In this work, we have focused on studying the production of a heavy…

高能物理 - 唯象学 · 物理学 2026-03-31 Anupam Ghosh , Soumyadip Ghosh , Soureek Mitra , Tousik Samui , Ritesh K. Singh

We explore the usage of boosted as well as semi-boosted topologies in all-hadronic $t\bar{t}$ final states in simulated $pp$ collisions at $\sqrt{s} = 14\,$TeV, with top quarks decaying into a boosted hadronic top-jet or a $W$-jet and an…

高能物理 - 唯象学 · 物理学 2024-11-08 Jiri Kvita

Over the past decade, a large number of jet substructure observables have been proposed in the literature, and explored at the LHC experiments. Such observables attempt to utilize the internal structure of jets in order to distinguish those…