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We study the possibility to employ neural networks to simulate jet clustering procedures in high energy hadron-hadron collisions. We concentrate our analysis on the Fermilab Tevatron energy and on the $k_\bot$ algorithm. We consider both…

High Energy Physics - Phenomenology · Physics 2016-09-01 P. De Felice , G. Nardulli , G. Pasquariello

Measurements of the jet energy calibration and transverse momentum resolution in CMS are presented, performed with a data sample collected in proton-proton collisions at a centre-of-mass energy of 7 TeV, corresponding to an integrated…

Instrumentation and Detectors · Physics 2012-08-27 CMS Collaboration

In this article, we review some of the complexities of jet algorithms and of the resultant comparisons of data to theory. We review the extensive experience with jet measurements at the Tevatron, the extrapolation of this acquired wisdom to…

High Energy Physics - Phenomenology · Physics 2008-11-26 S. D. Ellis , J. Huston , K. Hatakeyama , P. Loch , M. Toennesmann

Inclusive-jet cross sections have been measured in the reaction ep->e+jet+X for photon virtuality Q2 < 1 GeV2 and gamma-p centre-of-mass energies in the region 142 < W(gamma-p) < 293 GeV with the ZEUS detector at HERA using an integrated…

High Energy Physics - Experiment · Physics 2015-06-05 ZEUS Collaboration , H. Abramowicz , I. Abt , L. Adamczyk , M. Adamus , R. Aggarwal , S. Antonelli , P. Antonioli , A. Antonov , M. Arneodo , V. Aushev , Y. Aushev , O. Bachynska , A. Bamberger , A. N. Barakbaev , G. Barbagli , G. Bari , F. Barreiro , N. Bartosik , D. Bartsch , M. Basile , O. Behnke , J. Behr , U. Behrens , L. Bellagamba , A. Bertolin , S. Bhadra , M. Bindi , C. Blohm , V. Bokhonov , T. Bold , K. Bondarenko , E. G. Boos , K. Borras , D. Boscherini , D. Bot , I. Brock , E. Brownson , R. Brugnera , N. Brummer , A. Bruni , G. Bruni , B. Brzozowska , P. J. Bussey , B. Bylsma , A. Caldwell , M. Capua , R. Carlin , C. D. Catterall , S. Chekanov , J. Chwastowski , J. Ciborowski , R. Ciesielski , L. Cifarelli , F. Cindolo , A. Contin , A. M. Cooper-Sarkar , N. Coppola , M. Corradi , F. Corriveau , M. Costa , G. D'Agostini , F. Dal Corso , J. del Peso , R. K. Dementiev , S. De Pasquale , M. Derrick , R. C. E. Devenish , D. Dobur , B. A. Dolgoshein , G. Dolinska , A. T. Doyle , V. Drugakov , L. S. Durkin , S. Dusini , Y. Eisenberg , P. F. Ermolov , A. Eskreys , S. Fang , S. Fazio , J. Ferrando , M. I. Ferrero , J. Figiel , M. Forrest , B. Foster , G. Gach , A. Galas , E. Gallo , A. Garfagnini , A. Geiser , I. Gialas , A. Gizhko , L. K. Gladilin , D. Gladkov , C. Glasman , O. Gogota , Yu. A. Golubkov , P. Gottlicher , I. Grabowska-Bold , J. Grebenyuk , I. Gregor , G. Grigorescu , G. Grzelak , O. Gueta , M. Guzik , C. Gwenlan , T. Haas , W. Hain , R. Hamatsu , J. C. Hart , H. Hartmann , G. Hartner , E. Hilger , D. Hochman , R. Hori , K. Horton , A. Huttmann , Z. A. Ibrahim , Y. Iga , R. Ingbir , M. Ishitsuka , H. -P. Jakob , F. Januschek , T. W. Jones , M. Jungst , I. Kadenko , B. Kahle , S. Kananov , T. Kanno , U. Karshon , F. Karstens , I. I. Katkov , M. Kaur , P. Kaur , A. Keramidas , L. A. Khein , J. Y. Kim , D. Kisielewska , S. Kitamura , R. Klanner , U. Klein , E. Koffeman , N. Kondrashova , O. Kononeko , P. Kooijman , Ie. Korol , I. A. Korzhavina , A. Kotanski , U. Kotz , H. Kowalski , O. Kuprash , M. Kuze , A. Lee , B. B. Levchenko , A. Levy , V. Libov , S. Limentani , T. Y. Ling , M. Lisovyi , E. Lobodzinska , W. Lohmann , B. Lohr , E. Lohrmann , K. R. Long , A. Longhin , D. Lontkovskyi , O. Yu. Lukina , J. Maeda , S. Magill , I. Makarenko , J. Malka , R. Mankel , A. Margotti , G. Marini , J. F. Martin , A. Mastroberardino , M. C. K. Mattingly , I. -A. Melzer-Pellmann , S. Mergelmeyer , S. Miglioranzi , F. Mohamad Idris , V. Monaco , A. Montanari , J. D. Morris , K. Mujkic , B. Musgrave , K. Nagano , T. Namsoo , R. Nania , A. Nigro , Y. Ning , T. Nobe , U. Noor , D. Notz , R. J. Nowak , A. E. Nuncio-Quiroz , B. Y. Oh , N. Okazaki , K. Oliver , K. Olkiewicz , Yu. Onishchuk , K. Papageorgiu , A. Parenti , E. Paul , J. M. Pawlak , B. Pawlik , P. G. Pelfer , A. Pellegrino , W. Perlanski , H. Perrey , K. Piotrzkowski , P. Plucinski , N. S. Pokrovskiy , A. Polini , A. S. Proskuryakov , M. Przybycien , A. Raval , D. D. Reeder , B. Reisert , Z. Ren , J. Repond , Y. D. Ri , A. Robertson , P. Roloff , I. Rubinsky , M. Ruspa , R. Sacchi , U. Samson , G. Sartorelli , A. A. Savin , D. H. Saxon , M. Schioppa , S. Schlenstedt , P. Schleper , W. B. Schmidke , U. Schneekloth , V. Schonberg , T. Schorner-Sadenius , J. Schwartz , F. Sciulli , L. M. Shcheglova , R. Shehzadi , S. Shimizu , I. Singh , I. O. Skillicorn , W. Slominski , W. H. Smith , V. Sola , A. Solano , D. Son , V. Sosnovtsev , A. Spiridonov , H. Stadie , L. Stanco , N. Stefaniuk , A. Stern , T. P. Stewart , A. Stifutkin , P. Stopa , S. Suchkov , G. Susinno , L. Suszycki , J. Sztuk-Dambietz , D. Szuba , J. Szuba , A. D. Tapper , E. Tassi , J. Terron , T. Theedt , H. Tiecke , K. Tokushuku , J. Tomaszewska , V. Trusov , T. Tsurugai , M. Turcato , O. Turkot , T. Tymieniecka , M. Vazquez , A. Verbytskyi , O. Viazlo , N. N. Vlasov , R. Walczak , W. A. T. Wan Abdullah , J. J. Whitmore , L. Wiggers , M. Wing , M. Wlasenko , G. Wolf , H. Wolfe , K. Wrona , A. G. Yagues-Molina , S. Yamada , Y. Yamazaki , R. Yoshida , C. Youngman , O. Zabiegalov , A. F. Zarnecki , L. Zawiejski , O. Zenaiev , W. Zeuner , B. O. Zhautykov , N. Zhmak , C. Zhou , A. Zichichi , Z. Zolkapli , D. S. Zotkin

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…

High Energy Physics - Phenomenology · Physics 2009-10-28 Jon Pumplin

Clustering is one of the most frequent problems in many domains, in particular, in particle physics where jet reconstruction is central in experimental analyses. Jet clustering at the CERN's Large Hadron Collider (LHC) is computationally…

High Energy Physics - Phenomenology · Physics 2022-08-30 Jorge J. Martínez de Lejarza , Leandro Cieri , Germán Rodrigo

Identifying jets formed in high-energy particle collisions requires solving optimization problems over potentially large numbers of final-state particles. In this work, we consider the possibility of using quantum computers to speed up jet…

High Energy Physics - Phenomenology · Physics 2020-05-20 Annie Y. Wei , Preksha Naik , Aram W. Harrow , Jesse Thaler

Jet modification in heavy-ion collisions provides microscopic access to the properties of the quark-gluon plasma. However, conventional approaches based on traditional global observables, such as \(R_{AA}\), capture limited information…

High Energy Physics - Phenomenology · Physics 2026-04-24 Leonardo Lima da Silva , Marcelo Gameiro Munhoz

The process by which jet algorithms construct jets and subjets is inherently ambiguous and equally well motivated algorithms often return very different answers. The Qjets procedure was introduced by the authors to account for this…

High Energy Physics - Phenomenology · Physics 2015-06-23 Stephen D. Ellis , Andrew Hornig , David Krohn , Tuhin S. Roy

Progress has been made on the calculation of \(R_{3}\), the three-jet rate in \(e^{+}e^{-}\) annihilation, in the \(k_\bot \) (Durham) scheme. Using the coherent branching formalism \cite{b,c,d}, an explicit expression for \(R_{3}\) is…

High Energy Physics - Phenomenology · Physics 2009-10-28 C. N. Lovett-Turner

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…

High Energy Physics - Experiment · Physics 2013-10-28 ATLAS Collaboration

In this paper we study the performance in $e^+e^-$ collisions of classical $e^+e^-$ jet reconstruction algorithms, longitudinally invariant algorithms and the recently-proposed Valencia algorithm. The study includes a comparison of…

High Energy Physics - Experiment · Physics 2018-03-09 M. Boronat , J. Fuster , I. Garcia , Ph. Roloff , R. Simoniello , M. Vos

The evolution equation for parton multiplicities in quark and gluon jets which takes into account the soft gluon interference is solved numerically using the initial conditions at threshold. If the k_T-cutoff Q_c is lowered towards the…

High Energy Physics - Phenomenology · Physics 2009-10-30 Sergio Lupia , Wolfgang Ochs

Predictions are made for the jet substructure of one-jet events produced in electron-proton neutral current deep inelastic scattering at the future Electron-Ion Collider for exchanged four-momentum squared, $Q^2 > 125$ GeV$^2$. Data are…

High Energy Physics - Phenomenology · Physics 2023-06-14 Siddharth Jain , R. Aggarwal , M. Kaur

We derive a factorization theorem for production of an arbitrary number of color-singlet particles accompanied by a fixed number of jets at the LHC. The jets are defined with the standard anti-$k_T$ algorithm, and the fixed number of jets…

High Energy Physics - Phenomenology · Physics 2013-05-30 Xiaohui Liu , Frank Petriello

The next-to-leading corrections to the jet vertex which is relevant for the Mueller-Navelet jets production in hadronic collisions and for the forward jet cross section in lepton-hadron collisions are presented in the context of a k_t…

High Energy Physics - Phenomenology · Physics 2007-05-23 G. P. Vacca

A C++ implementation of the Kt jet algorithm for high energy particle collisions is presented. The time performance of this implementation is comparable to the widely used Fortran implementation. Identical algorithmic functionality is…

High Energy Physics - Phenomenology · Physics 2009-11-07 J. M. Butterworth , J. P. Couchman , B. E. Cox , B. M. Waugh

We consider the class of inclusive hadron collider processes in which several energetic jets are produced, possibly accompanied by colourless particles (such as Higgs boson(s), vector boson(s) with their leptonic decays, and so forth). We…

High Energy Physics - Phenomenology · Physics 2022-09-22 Luca Buonocore , Massimiliano Grazzini , Jürg Haag , Luca Rottoli , Chiara Savoini

We report a new determination of $\hat{q}$, the jet transport coefficient of the Quark-Gluon Plasma. We use the JETSCAPE framework, which incorporates a novel multi-stage theoretical approach to in-medium jet evolution and Bayesian…

Machine Learning algorithms have played an important role in hadronic jet classification problems. The large variety of models applied to Large Hadron Collider data has demonstrated that there is still room for improvement. In this context…