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相关论文: Parton Shower Uncertainties in Jet Substructure An…

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A method is proposed for distinguishing highly boosted hadronically decaying W's (W-jets) from QCD-jets using jet substructure. Previous methods, such as the filtering/mass-drop method, can give a factor of ~2 improvement in S/sqrt(B) for…

高能物理 - 唯象学 · 物理学 2011-05-12 Yanou Cui , Zhenyu Han , Matthew D. Schwartz

Deep neural networks trained on jet images have been successful in classifying different kinds of jets. In this paper, we identify the crucial physics features that could reproduce the classification performance of the convolutional neural…

高能物理 - 唯象学 · 物理学 2020-08-20 Amit Chakraborty , Sung Hak Lim , Mihoko M. Nojiri , Michihisa Takeuchi

In these proceedings, we report on recent results related to vector boson-tagged jet production in heavy ion collisions and the related modification of jet substructure, such as jet shapes and jet momentum sharing distributions.…

高能物理 - 唯象学 · 物理学 2018-03-14 Ivan Vitev

We carry out simple analytical calculations and Monte Carlo studies to better understand the impact of QCD radiation on some well-known jet substructure methods for jets arising from the decay of boosted Higgs bosons. Understanding…

高能物理 - 唯象学 · 物理学 2015-08-28 Mrinal Dasgupta , Alexander Powling , Andrzej Siodmok

We study contributions from nonperturbative effects and parton showering in NLO event generators, and present applications to jet final states. We find pT-dependent and rapidity-dependent corrections which can affect the shape of observed…

高能物理 - 唯象学 · 物理学 2013-04-29 S. Dooling , P. Gunnellini , F. Hautmann , H. Jung

QCD splittings are among the most fundamental theory concepts at the LHC. We show how they can be studied systematically with the help of invertible neural networks. These networks work with sub-jet information to extract fundamental…

高能物理 - 唯象学 · 物理学 2021-06-02 Sebastian Bieringer , Anja Butter , Theo Heimel , Stefan Höche , Ullrich Köthe , Tilman Plehn , Stefan T. Radev

Several methods to improve the parton-shower description of hard processes by an injection of matrix-element-based information have been presented over the years. In this article we study (re)weighting schemes for the first/hardest…

高能物理 - 唯象学 · 物理学 2015-05-18 Richard Corke , Torbjörn Sjöstrand

This paper assesses the uncertainties inherent to parton shower simulations at double logarithmic accuracy, with a focus on their impact on jet quenching studies in high-energy heavy-ion collisions. For that purpose, we developed a massless…

In a previous paper, hereafter referred to as I, we have analyzed the 7 TeV LHC data on W + jets events from the standpoint of IR-improved DGLAP parton shower effects, using the IR-improved Herwiri1.031 parton shower MC in comparison with…

高能物理 - 唯象学 · 物理学 2020-11-18 B. Shakerin , B. F. L. Ward

Since the machine learning techniques are improving rapidly, it has been shown that the image recognition techniques in deep neural networks can be used to detect jet substructure. And it turns out that deep neural networks can match or…

高能物理 - 唯象学 · 物理学 2018-07-02 Taoli Cheng

New particles beyond the Standard Model might be produced with a very high boost, for instance if they result from the decay of a heavier particle. If the former decay hadronically, then their signature is a single massive fat jet which is…

高能物理 - 唯象学 · 物理学 2018-01-17 J. A. Aguilar-Saavedra , Jack H. Collins , Rashmish K. Mishra

Jet tagging has become an essential tool for new physics searches at the high-energy frontier. For jets that contain energetic charged leptons we introduce Feature Extended Supervised Tagging (FEST) which, in addition to jet substructure,…

高能物理 - 唯象学 · 物理学 2021-09-01 J. A. Aguilar-Saavedra

In this contribution, we study the resonant pair production of heavy particles in hadronic final states using jet substructure techniques. We discuss a recently proposed resonance tagging strategy, which interpolates between the highly…

高能物理 - 唯象学 · 物理学 2013-06-27 Juan Rojo

Exploring and modeling rain generation mechanism is critical for augmenting paired data to ease training of rainy image processing models. Against this task, this study proposes a novel deep learning based rain generator, which fully takes…

计算机视觉与模式识别 · 计算机科学 2024-04-30 Zhiqiang Pang , Hong Wang , Qi Xie , Deyu Meng , Zongben Xu

Supersymmetry with hadronic R-parity violation in which the lightest neutralino decays into three quarks is still weakly constrained. This work aims to further improve the current search for this scenario by the boosted decision tree method…

高能物理 - 唯象学 · 物理学 2018-11-07 Jun Guo , Jinmian Li , Tianjun Li , Fangzhou Xu , Wenxing Zhang

A method for incorporating information from next-to-leading order QCD matrix elements for hadronic diboson production into showering event generators is presented. In the hard central region (high jet transverse momentum) where perturbative…

高能物理 - 唯象学 · 物理学 2009-11-07 Matt Dobbs

We apply advanced machine learning techniques to two challenging jet classification problems at the LHC. The first is strange-quark tagging, in particular distinguishing strange-quark jets from down-quark jets. The second, which we term…

高能物理 - 唯象学 · 物理学 2025-02-25 Yevgeny Kats , Edo Ofir

Discriminating quark-like from gluon-like jets is, in many ways, a key challenge for many LHC analyses. First, we use a known difference in Pythia and Herwig simulations to show how decorrelated taggers would break down when the most…

高能物理 - 唯象学 · 物理学 2022-12-21 Anja Butter , Barry M. Dillon , Tilman Plehn , Lorenz Vogel

Ultra-relativistic heavy-ion collisions are a window of opportunity to study QCD matter under extreme conditions of temperature and density, such as the quark-gluon plasma. Among the several possibilities, the study of jet quenching -…

高能物理 - 唯象学 · 物理学 2015-05-26 Liliana Apolinário , Néstor Armesto , Guilherme Milhano , Carlos A. Salgado

The emission of W and Z gauge boson is included in a traditional QCD + QED shower. The unitarity of the shower algorithm links the real radiation of the weak gauge bosons to the negative weak virtual corrections. The shower evolution…

高能物理 - 唯象学 · 物理学 2015-06-18 Jesper Roy Christiansen , Torbjörn Sjöstrand