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相关论文: Tracking the Identities of Boosted Particles

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We show how generalized energy correlation functions can be used as a powerful probe of jet substructure. These correlation functions are based on the energies and pair-wise angles of particles within a jet, with (N+1)-point correlators…

高能物理 - 唯象学 · 物理学 2015-06-15 Andrew J. Larkoski , Gavin P. Salam , Jesse Thaler

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

At the extreme energies of the Large Hadron Collider, massive particles can be produced at such high velocities that their hadronic decays are collimated and the resulting jets overlap. Deducing whether the substructure of an observed jet…

高能物理 - 实验 · 物理学 2016-06-01 Pierre Baldi , Kevin Bauer , Clara Eng , Peter Sadowski , Daniel Whiteson

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.…

高能物理 - 唯象学 · 物理学 2013-08-30 Paloma Quiroga-Arias , Sebastian Sapeta

Heavy resonances are an integral part of many extensions of the Standard Model. The discovery of such heavy resonances are a primary goal at the LHC and future hadron colliders. When a particle with TeV-scale mass decays into…

高能物理 - 唯象学 · 物理学 2015-09-30 Michael Spannowsky , Martin Stoll

Tracker detectors can be used to identify charged particles based on their global chi value obtained during track fitting with the Kalman filter. This approach builds upon the knowledge of detector material and local position resolution,…

仪器与探测器 · 物理学 2014-11-20 Ferenc Sikler

The MUST (Mass Unspecific Supervised Tagging) method has proven to be successful in implementing generic jet taggers capable of discriminating various signals over a wide range of jet masses. We implement the MUST concept by using eXtreme…

高能物理 - 唯象学 · 物理学 2024-11-26 J. A. Aguilar-Saavedra , E. Arganda , F. R. Joaquim , R. M. Sandá Seoane , J. F. Seabra

The jet-jet profile, or detailed manner, in which transverse energy and mass are distributed around the jet-jet system resulting from the hadronic decay of a $Z$ boson in the process Higgs$\to ZZ$ at a proton-proton collider energy of…

高能物理 - 唯象学 · 物理学 2009-10-22 R. D. Field , P. A. Griffin

Characteristics of multi-particle production in proton-proton collisions at sqrt(s) = 7 TeV are studied as a function of the charged-particle multiplicity, N[ch]. The produced particles are separated into two classes: those belonging to…

高能物理 - 实验 · 物理学 2013-12-17 CMS Collaboration

We explore the ability of three-particle templates to distinguish color neutral objects from QCD background. This method is particularly useful to identify the standard model Higgs, as well as other massive neutral particles. Simple…

高能物理 - 唯象学 · 物理学 2013-05-30 Leandro G. Almeida , Ozan Erdoğan , José Juknevich , Seung J. Lee , Gilad Perez , George Sterman

The signal for a highly boosted heavy resonance competing against a background of light parton jets at the LHC can be enhanced by analyzing subjets in the "fat" jet that possibly contains the heavy resonance. Three methods for doing this…

高能物理 - 唯象学 · 物理学 2015-03-17 Davison E. Soper , Michael Spannowsky

In this paper we study the identification of boosted hadronically decaying top quarks using jet substructure in the center-of-mass frame of the jet. We demonstrate that the method can greatly reduce the QCD jet background while maintaining…

高能物理 - 唯象学 · 物理学 2013-04-11 Chunhui Chen

Tagging jets of strongly interacting particles initiated by energetic strange quarks is one of the few largely unexplored Standard Model object classification problems remaining in high energy collider physics. In this paper we investigate…

高能物理 - 唯象学 · 物理学 2020-03-24 Yuichiro Nakai , David Shih , Scott Thomas

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…

高能物理 - 实验 · 物理学 2017-08-10 Jannicke Pearkes , Wojciech Fedorko , Alison Lister , Colin Gay

Top polarization is an important probe of new physics that couples to the top sector, and which may be discovered at the 14 TeV LHC. Taking the example of the MSSM, we argue that top polarization measurements can put a constraint on the…

高能物理 - 唯象学 · 物理学 2013-03-28 Biplob Bhattacherjee , Sourav K. Mandal , Mihoko Nojiri

Identifying the origin of high-energy hadronic jets ('jet tagging') has been a critical benchmark problem for machine learning in particle physics. Jets are ubiquitous at colliders and are complex objects that serve as prototypical examples…

Jet flavor tagging, the identification of jets originating from $c$-quarks, $b$-quarks, and other quarks (light quarks and gluons), is a crucial task in high-energy heavy-ion physics, as it enables the investigation of flavor-dependent…

仪器与探测器 · 物理学 2025-10-29 Hangil Jang , Sanghoon Lim

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

A new class of jet clustering algorithms is introduced. A criterion inspired by successful mass-drop taggers is applied that prevents the recombination of two hard prongs if their combined jet mass is substantially larger than the masses of…

高能物理 - 唯象学 · 物理学 2015-05-20 Martin Stoll

We show that Jet Energy Correlation variables can be used effectively to discover and distinguish a wide variety of boosted light dijet resonances at the LHC through sensitivity to their transverse momentum and color structures.

高能物理 - 唯象学 · 物理学 2017-10-16 R. Sekhar Chivukula , Kirtimaan A. Mohan , Dipan Sengupta , Elizabeth H. Simmons