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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…

High Energy Physics - Phenomenology · Physics 2018-07-02 Taoli Cheng

In the past years significant progress has been made toward achieving a quantitative understanding of jets and their substructure in high-energy proton-proton collisions from first principles in QCD. Precise measurements have become…

High Energy Physics - Phenomenology · Physics 2018-12-19 Felix Ringer

One can imagine a number of mechanisms that could be the cause of brighter/fainter segments of jets. In a sense, jets might be easier to understand if they were featureless. However we observe a wide variety of structures which we call…

High Energy Astrophysical Phenomena · Physics 2015-05-18 D. E. Harris

The last few years have seen community-wide excitement in the study of jet substructure derived from the inner workings of clustering algorithms. Such efforts have resulted in the design of new observables which are related to partonic…

High Energy Physics - Phenomenology · Physics 2022-09-13 Raghav Kunnawalkam Elayavalli

We present a new tagger which aims at identifying partially reconstructed objects, in which only some of the constituents are collected in a single jet. As an example, we focus on top decays in which either part of the hadronically decaying…

High Energy Physics - Phenomenology · Physics 2016-08-31 Marat Freytsis , Tomer Volansky , Jonathan R. Walsh

Conventional jet algorithms are based on a deterministic view of the underlying hard scattering process. Each outgoing parton from the hard scattering is associated with a hard, well separated jet. This approach is very successful because…

High Energy Physics - Phenomenology · Physics 2007-05-23 W. T. Giele , E. W. N. Glover

The striking suppression and modification patterns that are observed in jet observables measured in heavy-ion collisions with respect to the proton-proton baseline have the potential to constrain the spatio-temporal branching process of…

High Energy Physics - Phenomenology · Physics 2018-08-16 Konrad Tywoniuk , Yacine Mehtar-Tani

Nearest neighbor (k-NN) graphs are widely used in machine learning and data mining applications, and our aim is to better understand what they reveal about the cluster structure of the unknown underlying distribution of points. Moreover, is…

Machine Learning · Statistics 2011-05-06 Samory Kpotufe , Ulrike von Luxburg

The study of the shape and sub-structure of high p_T jets produced in hadron collisions is becoming an increasingly important component of LHC phenomenology in the context of new particle discoveries. We study here the state of the art for…

High Energy Physics - Phenomenology · Physics 2010-11-19 Mrinal Dasgupta

A persistent and fascinating problem at the high energy colliders are jets. Often trying to observe physics underlying the hard interactions at colliders requires experimental cuts in phase space, defining several jet or beam regions. QCD…

High Energy Physics - Phenomenology · Physics 2015-09-01 Duff Neill

Jet radiation patterns are indispensable for the purpose of discriminating partons' with different quantum numbers. However, they are also vulnerable to various contaminations from the underlying event, pileup, and radiation of adjacent…

High Energy Physics - Phenomenology · Physics 2014-11-05 Zhenyu Han

We introduce persistent Betti numbers to characterize topological structure of jets. These topological invariants measure multiplicity and connectivity of jet branches at a given scale threshold, while their persistence records evolution of…

High Energy Physics - Phenomenology · Physics 2020-06-23 Lingfeng Li , Tao Liu , Si-Jun Xu

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…

High Energy Physics - Phenomenology · Physics 2011-05-25 Christoph Englert , Tilman Plehn , Peter Schichtel , Steffen Schumann

We introduce collinear drop jet substructure observables, which are unaffected by contributions from collinear radiation, and systematically probe soft radiation within jets. These observables can be designed to be either sensitive or…

High Energy Physics - Phenomenology · Physics 2020-07-15 Yang-Ting Chien , Iain W. Stewart

We explicitly study how jet substructure taggers act on a set of signal and background events. We focus on two-pronged hadronic decay of a boosted Z boson. The background to this process comes from QCD jets with masses of the order of m_Z.…

High Energy Physics - Phenomenology · Physics 2013-08-30 Paloma Quiroga-Arias , Sebastian Sapeta

We propose a robust method to identify anomalous jets by vetoing QCD-jets. The robustness of this method ensures that the distribution of the proposed discriminating variable (which allows us to veto QCD-jets) remains unaffected by the…

High Energy Physics - Phenomenology · Physics 2020-08-11 Tuhin S. Roy , Aravind H. Vijay

We initiate the study of the time substructure of jets, motivated by the fact that the next generation of detectors at particle colliders will resolve the time scale over which jet constituents arrive. This effect is directly related to…

High Energy Physics - Phenomenology · Physics 2021-12-22 Matthew D. Klimek

We study high-pt jets from QCD and from highly-boosted massive particles such as tops, W, Z and Higgs, and argue that infrared-safe observables can help reduce QCD backgrounds. Jets from QCD are characterized by different patterns of energy…

High Energy Physics - Phenomenology · Physics 2014-11-18 Leandro G. Almeida , Seung J. Lee , Gilad Perez , George Sterman , Ilmo Sung , Joseph Virzi

We introduce a new approach for jet physics studies using subtracted cumulants of jet substructure observables, which are shown to be insensitive to contributions from soft-particle emissions uncorrelated with the hard process. Therefore…

High Energy Physics - Phenomenology · Physics 2019-11-06 Yang-Ting Chien , Daekyoung Kang , Kyle Lee , Yiannis Makris

Understanding the inner working of the quark-gluon plasma requires complete and precise jet substructure studies in heavy ion collisions. In this proceeding we discuss the use of quark and gluon jets as independent probes, and how their…

High Energy Physics - Phenomenology · Physics 2019-02-20 Yang-Ting Chien