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We consider the mass distribution of QCD jets after the application of jet substructure methods, specifically the mass-drop tagger, pruning, trimming and their variants. In contrast to most current studies employing Monte Carlo methods, we…

高能物理 - 唯象学 · 物理学 2013-11-11 Mrinal Dasgupta , Alessandro Fregoso , Simone Marzani , Alexander Powling

We present first analytic, resummed calculations of the rates at which widespread jet substructure tools tag QCD jets. As well as considering trimming, pruning and the mass-drop tagger, we introduce modified tools with improved analytical…

高能物理 - 唯象学 · 物理学 2013-09-10 Mrinal Dasgupta , Alessandro Fregoso , Simone Marzani , Gavin P. Salam

The internal structure of jets produced in pp collisions at the LHC is measured using the ATLAS detector in an inclusive jet sample corresponding to 35pb-1 of pp collisions at sqrt(s) = 7 TeV. Classical jet shape and energy flow…

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

Jet substructure is typically studied using clustering algorithms, such as kT, which arrange the jets' constituents into trees. Instead of considering a single tree per jet, we propose that multiple trees should be considered, weighted by…

高能物理 - 唯象学 · 物理学 2013-05-30 Stephen D. Ellis , Andrew Hornig , David Krohn , Tuhin S. Roy , Matthew D. Schwartz

Recent studies have highlighted the potential of jet substructure techniques to identify the hadronic decays of boosted heavy particles. These studies all rely upon the assumption that the internal substructure of jets generated by QCD…

高能物理 - 实验 · 物理学 2012-08-27 ATLAS Collaboration

The study of the internal structure of hadronic jets has become in recent years a very active area of research in particle physics. Jet substructure techniques are increasingly used in experimental analyses by the LHC collaborations, both…

高能物理 - 唯象学 · 物理学 2026-04-10 Simone Marzani , Gregory Soyez , Michael Spannowsky

The Standard Model processes of W, Z and top quark production in association with jets constitute a major background to searches for Supersymmetry at the LHC. We describe recent work performed in the ATLAS Collaboration to estimate these…

高能物理 - 实验 · 物理学 2019-08-13 Mark Hodgkinson

QCD is often the dominant background to new physics searches for which jet substructure provides a useful handle. Due to the challenges associated with modeling this background, data-driven approaches are necessary. This paper presents a…

高能物理 - 唯象学 · 物理学 2014-10-21 Timothy Cohen , Martin Jankowiak , Mariangela Lisanti , Hou Keong Lou , Jay G. Wacker

We propose a new search strategy for high-multiplicity hadronic final states. When new particles are produced at threshold, the distribution of their decay products is approximately isotropic. If there are many partons in the final state,…

高能物理 - 唯象学 · 物理学 2015-06-12 Timothy Cohen , Eder Izaguirre , Mariangela Lisanti , Hou Keong Lou

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

This paper presents the application of a variety of techniques to study jet substructure. The performance of various modified jet algorithms, or jet grooming techniques, for several jet types and event topologies is investigated for jets…

高能物理 - 实验 · 物理学 2013-10-28 ATLAS Collaboration

In order to assess the ability of jet observables to constrain the characteristics of the medium produced in heavy-ion collisions at the LHC, we investigate the influence of background subtraction and jet quenching on jet reconstruction,…

高能物理 - 唯象学 · 物理学 2013-01-04 Liliana Apolinário , Néstor Armesto , Letícia Cunqueiro

Jets from boosted heavy particles have a typical angular scale which can be used to distinguish them from QCD jets. We introduce a machine learning strategy for jet substructure analysis using a spectral function on the angular scale. The…

高能物理 - 唯象学 · 物理学 2018-10-31 Sung Hak Lim , Mihoko M. Nojiri

Events containing W or Z bosons with accompanying jets are important channels to test the Standard Model. These proceedings discuss W/Z+Jets production cross section measurements and their use to understand the detectors and their…

高能物理 - 实验 · 物理学 2019-08-13 Ellie Dobson

Jet substructure in heavy-ion collisions is a rapidly evolving area with lots of intriguing new measurements. This contribution presents a selection of recent jet-substructure measurements from experiments at the LHC, in particular,…

核实验 · 物理学 2024-10-08 Robert Vertesi

Jet substructure is playing a central role at the Large Hadron Collider (LHC) probing the Standard Model in extreme regions of phase space and providing innovative ways to search for new physics. Analytic calculations of experimentally…

高能物理 - 唯象学 · 物理学 2017-08-24 Andrew J. Larkoski , Ian Moult , Duff Neill

Jet substructure has emerged to play a central role at the Large Hadron Collider, where it has provided numerous innovative ways to search for new physics and to probe the Standard Model, particularly in extreme regions of phase space. In…

Jet substructure tools have proven useful in a number of high-energy particle-physics studies. A particular case is the discrimination, or tagging, between a boosted jet originated from an electroweak boson (signal), and a standard QCD…

高能物理 - 唯象学 · 物理学 2018-12-26 Davide Napoletano , Gregory Soyez

Searching for new physics in large data sets needs a balance between two competing effects---signal identification vs background distortion. In this work, we perform a systematic study of both single variable and multivariate jet tagging…

高能物理 - 唯象学 · 物理学 2020-02-25 Layne Bradshaw , Rashmish K. Mishra , Andrea Mitridate , Bryan Ostdiek

Jets plus missing transverse energy is one of the main search channels for new physics at the LHC. A major limitation lies in our understanding of QCD backgrounds. Using jet merging we can describe the number of jets in typical background…

高能物理 - 唯象学 · 物理学 2011-05-25 Christoph Englert , Tilman Plehn , Peter Schichtel , Steffen Schumann
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