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Related papers: Jet Observables Without Jet Algorithms

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Recent literature on deep neural networks for tagging of highly energetic jets resulting from top quark decays has focused on image based techniques or multivariate approaches using high-level jet substructure variables. Here, a sequential…

High Energy Physics - Experiment · Physics 2017-08-10 Jannicke Pearkes , Wojciech Fedorko , Alison Lister , Colin Gay

Events containing hadronically decaying heavy particles with large momentum, leading to so-called merged jets, are expected to play a significant role in both searches for new physics and measurements of Standard Model processes at the CERN…

High Energy Physics - Experiment · Physics 2011-09-06 Andrew Altheimer , Gustaaf Brooijmans

For many event-shape observables, the most difficult part of a resummation in the Born limit is the analytical treatment of the observable's dependence on multiple emissions, which is required at single logarithmic accuracy. We present a…

High Energy Physics - Phenomenology · Physics 2009-11-07 A. Banfi , G. P. Salam , G. Zanderighi

Advances in measurements of jets and collective phenomena in ultrarelativistic heavy ion collisions have led to further understanding of the properties of the medium created in such collisions. Measurements of the correlations between the…

Nuclear Experiment · Physics 2013-03-27 Alice Ohlson

A measurement of event shape variables is presented for large momentum transfer proton-proton collisions using the ATLAS detector at the Large Hadron Collider. Six event shape variables calculated using hadronic jets are studied in…

High Energy Physics - Experiment · Physics 2013-06-25 ATLAS Collaboration

Multijet events at large transverse momentum ($p_\mathrm{T}$) are measured at $\sqrt{s}$ = 13 TeV using data recorded with the CMS detector at the LHC, corresponding to an integrated luminosity of 36.3 fb$^{-1}$. The multiplicity of jets…

High Energy Physics - Experiment · Physics 2023-08-30 CMS Collaboration

Multijet events at large transverse energy (sum E_T > 420 GeV) and large multijet invariant mass (M_jets > 600 GeV) have been studied by the CDF Collaboration at the Fermilab Tevatron. The observed jet multiplicity distribution can be…

High Energy Physics - Phenomenology · Physics 2014-11-17 D. Rainwater , D. Summers , D. Zeppenfeld

Semi-inclusive deep inelastic scattering (SIDIS) is a promising channel for the extraction of transverse momentum dependent distributions at future colliders. In this context, we recently developed a framework that uses jets (instead of…

High Energy Physics - Phenomenology · Physics 2019-07-24 Daniel Gutierrez-Reyes , Ignazio Scimemi , Wouter J. Waalewijn , Lorenzo Zoppi

The modification of jet substructure in relativistic heavy-ion collisions is studied using JETSCAPE, a publicly available software package containing a framework for Monte Carlo event generators. Multi-stage jet evolution in JETSCAPE…

Jet-matter interaction remains a central question and a theoretical challenge in heavy-ion physics and might become important in high-multiplicity events in proton-proton collisions at LHC energies. Full jet measurement at LHC offer the…

High Energy Physics - Phenomenology · Physics 2011-03-18 A. G. Agócs , G. G. Barnaföldi , P. Lévai

Under which conditions does a jet appear as a particle--like signal from the hidden realm of quarks and gluons? Motivated by this question jet clustering conditions are formulated, in order to characterize jet clustering algorithms, which…

High Energy Physics - Phenomenology · Physics 2008-02-03 Hermann Hessling

Jet broadening is an event-shape variable probing the transverse momenta of particles inside jets. It has been measured precisely in e+e- annihilations and is used to extract the strong coupling constant. The factorization of the associated…

High Energy Physics - Phenomenology · Physics 2015-05-27 Thomas Becher , Guido Bell , Matthias Neubert

Image-based jet analysis is built upon the jet image representation of jets that enables a direct connection between high energy physics and the fields of computer vision and deep learning. Through this connection, a wide array of new jet…

Data Analysis, Statistics and Probability · Physics 2020-12-21 Michael Kagan

The measurement of charged-particle event shape variables is presented in inclusive inelastic pp collisions at a center-of-mass energy of 7 TeV using the ATLAS detector at the LHC. The observables studied are the transverse thrust, thrust…

High Energy Physics - Experiment · Physics 2013-08-09 ATLAS Collaboration

In collider physics at the TeV scale, there are many important processes which involve six or more jets. The sensitivity of the physics analysis depends critically on the performance of the jet clustering algorithm. We present a full…

High Energy Physics - Experiment · Physics 2011-10-27 Taikan Suehara , Tomohiko Tanabe , Satoru Yamashita

We propose an observable which involves measuring the properties (transverse momentum $p_{h\perp}$ and energy fraction $z_h$) of an identified hadron inside a groomed jet. The jet is identified with an anti-kT/CA algorithm and is groomed by…

High Energy Physics - Phenomenology · Physics 2019-07-16 Yiannis Makris , Duff Neill , Varun Vaidya

We study how to use Deep Variational Autoencoders for a fast simulation of jets of particles at the LHC. We represent jets as a list of constituents, characterized by their momenta. Starting from a simulation of the jet before detector…

Jets are an important probe to identify the hard interaction of interest at the LHC. They are routinely used in Standard Model precision measurements as well as in searches for new heavy particles, including jet substructure methods. In…

High Energy Physics - Phenomenology · Physics 2016-08-24 Piotr Pietrulewicz , Frank J. Tackmann , Wouter J. Waalewijn

The jet cross-section and jet-substructure observables in $p$$+$$p$ collisions at $\sqrt{s}=200$ GeV were measured by the PHENIX Collaboration at the Relativistic Heavy Ion Collider (RHIC). Jets are reconstructed from charged-particle…

High Energy Physics - Experiment · Physics 2025-08-11 PHENIX Collaboration , N. J. Abdulameer , U. Acharya , C. Aidala , N. N. Ajitanand , Y. Akiba , R. Akimoto , J. Alexander , M. Alfred , V. Andrieux , S. Antsupov , K. Aoki , N. Apadula , H. Asano , E. T. Atomssa , T. C. Awes , B. Azmoun , V. Babintsev , M. Bai , X. Bai , N. S. Bandara , B. Bannier , E. Bannikov , K. N. Barish , S. Bathe , V. Baublis , C. Baumann , S. Baumgart , A. Bazilevsky , M. Beaumier , R. Belmont , A. Berdnikov , Y. Berdnikov , L. Bichon , D. Black , B. Blankenship , D. S. Blau , J. S. Bok , V. Borisov , K. Boyle , M. L. Brooks , J. Bryslawskyj , H. Buesching , V. Bumazhnov , S. Butsyk , S. Campbell , R. Cervantes , C. -H. Chen , D. Chen , M. Chiu , C. Y. Chi , I. J. Choi , J. B. Choi , S. Choi , P. Christiansen , T. Chujo , V. Cianciolo , Z. Citron , B. A. Cole , M. Connors , R. Corliss , N. Cronin , N. Crossette , M. Csanád , T. Csörgő , L. D'Orazio , T. W. Danley , A. Datta , M. S. Daugherity , G. David , K. DeBlasio , K. Dehmelt , A. Denisov , A. Deshpande , E. J. Desmond , L. Ding , A. Dion , D. Dixit , V. Doomra , J. H. Do , O. Drapier , A. Drees , K. A. Drees , J. M. Durham , A. Durum , H. En'yo , T. Engelmore , A. Enokizono , R. Esha , K. O. Eyser , B. Fadem , W. Fan , N. Feege , D. E. Fields , M. Finger, , M. Finger , D. Firak , D. Fitzgerald , F. Fleuret , S. L. Fokin , J. E. Frantz , A. Franz , A. D. Frawley , Y. Fukao , Y. Fukuda , T. Fusayasu , K. Gainey , P. Gallus , C. Gal , P. Garg , A. Garishvili , I. Garishvili , H. Ge , F. Giordano , A. Glenn , X. Gong , M. Gonin , Y. Goto , R. Granier de Cassagnac , N. Grau , S. V. Greene , M. Grosse Perdekamp , T. Gunji , T. Guo , H. Guragain , Y. Gu , T. Hachiya , J. S. Haggerty , K. I. Hahn , H. Hamagaki , H. F. Hamilton , J. Hanks , S. Y. Han , S. Hasegawa , T. O. S. Haseler , K. Hashimoto , R. Hayano , T. K. Hemmick , T. Hester , X. He , J. C. Hill , K. Hill , A. Hodges , R. S. Hollis , K. Homma , B. Hong , T. Hoshino , N. Hotvedt , J. Huang , T. Ichihara , Y. Ikeda , K. Imai , Y. Imazu , M. Inaba , A. Iordanova , D. Isenhower , A. Isinhue , D. Ivanishchev , S. J. Jeon , M. Jezghani , X. Jiang , Z. Ji , B. M. Johnson , K. S. Joo , D. Jouan , D. S. Jumper , J. Kamin , S. Kanda , B. H. Kang , J. H. Kang , J. S. Kang , D. Kapukchyan , J. Kapustinsky , S. Karthas , D. Kawall , A. V. Kazantsev , J. A. Key , V. Khachatryan , P. K. Khandai , A. Khanzadeev , K. M. Kijima , C. Kim , D. J. Kim , E. -J. Kim , M. Kim , Y. -J. Kim , Y. K. Kim , D. Kincses , E. Kistenev , J. Klatsky , D. Kleinjan , P. Kline , T. Koblesky , M. Kofarago , B. Komkov , J. Koster , D. Kotchetkov , D. Kotov , L. Kovacs , F. Krizek , S. Kudo , K. Kurita , M. Kurosawa , Y. Kwon , Y. S. Lai , J. G. Lajoie , A. Lebedev , D. M. Lee , G. H. Lee , J. Lee , K. B. Lee , K. S. Lee , S. Lee , S. H. Lee , M. J. Leitch , M. Leitgab , Y. H. Leung , B. Lewis , S. H. Lim , M. X. Liu , X. Li , X. Li , V. -R. Loggins , S. Lokos , D. A. Loomis , K. Lovasz , D. Lynch , C. F. Maguire , T. Majoros , Y. I. Makdisi , M. Makek , A. Manion , V. I. Manko , E. Mannel , M. McCumber , P. L. McGaughey , D. McGlinchey , C. McKinney , A. Meles , M. Mendoza , B. Meredith , Y. Miake , T. Mibe , A. C. Mignerey , A. Milov , D. K. Mishra , J. T. Mitchell , M. Mitrankova , Iu. Mitrankov , G. Mitsuka , S. Miyasaka , S. Mizuno , A. K. Mohanty , S. Mohapatra , P. Montuenga , T. Moon , D. P. Morrison , M. Moskowitz , T. V. Moukhanova , B. Mulilo , T. Murakami , J. Murata , A. Mwai , T. Nagae , K. Nagai , S. Nagamiya , K. Nagashima , T. Nagashima , J. L. Nagle , M. I. Nagy , I. Nakagawa , Y. Nakamiya , K. R. Nakamura , T. Nakamura , K. Nakano , C. Nattrass , P. K. Netrakanti , M. Nihashi , T. Niida , R. Nouicer , N. Novitzky , T. Novák , G. Nukazuka , A. S. Nyanin , E. O'Brien , C. A. Ogilvie , H. Oide , K. Okada , J. D. Orjuela Koop , M. Orosz , J. D. Osborn , A. Oskarsson , G. J. Ottino , K. Ozawa , R. Pak , V. Pantuev , V. Papavassiliou , I. H. Park , J. S. Park , S. Park , S. K. Park , L. Patel , M. Patel , S. F. Pate , J. -C. Peng , D. V. Perepelitsa , G. D. N. Perera , D. Yu. Peressounko , C. E. PerezLara , J. Perry , R. Petti , M. Phipps , C. Pinkenburg , R. P. Pisani , M. Potekhin , M. L. Purschke , H. Qu , J. Rak , I. Ravinovich , K. F. Read , D. Reynolds , V. Riabov , Y. Riabov , E. Richardson , D. Richford , T. Rinn , N. Riveli , D. Roach , S. D. Rolnick , M. Rosati , Z. Rowan , M. S. Ryu , A. S. Safonov , B. Sahlmueller , N. Saito , T. Sakaguchi , H. Sako , V. Samsonov , M. Sarsour , S. Sato , S. Sawada , B. Schaefer , B. K. Schmoll , K. Sedgwick , J. Seele , R. Seidl , Y. Sekiguchi , A. Seleznev , A. Sen , R. Seto , P. Sett , A. Sexton , D. Sharma , A. Shaver , I. Shein , T. -A. Shibata , K. Shigaki , M. Shimomura , T. Shioya , K. Shoji , P. Shukla , A. Sickles , C. L. Silva , D. Silvermyr , B. K. Singh , C. P. Singh , V. Singh , M. Skolnik , M. Slunečka , K. L. Smith , M. Snowball , S. Solano , R. A. Soltz , W. E. Sondheim , S. P. Sorensen , I. V. Sourikova , P. W. Stankus , P. Steinberg , E. Stenlund , M. Stepanov , A. Ster , S. P. Stoll , M. R. Stone , T. Sugitate , A. Sukhanov , T. Sumita , J. Sun , Z. Sun , J. Sziklai , A. Takahara , A. Taketani , Y. Tanaka , K. Tanida , M. J. Tannenbaum , S. Tarafdar , A. Taranenko , G. Tarnai , E. Tennant , R. Tieulent , A. Timilsina , T. Todoroki , M. Tomášek , H. Torii , C. L. Towell , R. S. Towell , I. Tserruya , Y. Ueda , B. Ujvari , H. W. van Hecke , M. Vargyas , E. Vazquez-Zambrano , A. Veicht , J. Velkovska , M. Virius , V. Vrba , N. Vukman , E. Vznuzdaev , R. Vértesi , X. R. Wang , D. Watanabe , K. Watanabe , Y. Watanabe , Y. S. Watanabe , F. Wei , S. Whitaker , S. Wolin , C. L. Woody , M. Wysocki , B. Xia , L. Xue , C. Xu , Q. Xu , S. Yalcin , Y. L. Yamaguchi , H. Yamamoto , A. Yanovich , S. Yokkaichi , I. Yoon , J. H. Yoo , I. Younus , Z. You , I. E. Yushmanov , H. Yu , W. A. Zajc , A. Zelenski , S. Zhou , L. Zou

Jets with a large radius $R\gtrsim 1$ and grooming algorithms are widely used to fully capture the decay products of boosted heavy particles at the Large Hadron Collider (LHC). Unlike most discriminating variables used in such studies, the…

High Energy Physics - Phenomenology · Physics 2016-09-06 Benjamin Nachman , Pascal Nef , Ariel Schwartzman , Maximilian Swiatlowski , Chaowaroj Wanotayaroj