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Studies are presented of the selection of events consistent with top quark pair production in data recorded by the CMS detector at the LHC, corresponding to an integrated luminosity of 0.84+/-0.09 1/pb and at center-of-mass energy sqrt{s}=7…

高能物理 - 实验 · 物理学 2010-10-13 Frank-Peter Schilling

Jet quenching in the hot and dense medium created in ultra-relativistic heavy ion collisions is a well-established experimental phenomenon at RHIC. It has long been anticipated that the LHC heavy ion program would substantially advance the…

高能物理 - 实验 · 物理学 2012-09-03 Martin Rybar

The LHC data on jet fragmentation function and jet shapes in PbPb collisions at center-of-mass energy 2.76 TeV per nucleon pair are analyzed and interpreted in the frameworks of PYQUEN jet quenching model. A specific modification of…

高能物理 - 唯象学 · 物理学 2015-10-28 I. P. Lokhtin , A. A. Alkin , A. M. Snigirev

Supermassive black holes can launch powerful jets which can be some of the most luminous multi-wavelength sources; decades after their discovery their physics and energetics are still poorly understood. The past decade has seen a dramatic…

高能天体物理现象 · 物理学 2018-11-07 M. Lucchini , S. Markoff , P. Crumley , F. Krauß , R. M. T. Connors

We study the effectiveness of theoretically-motivated high-level jet observables in the extreme context of jets with a large number of hard sub-jets (up to $N=8$). Previous studies indicate that high-level observables are powerful,…

高能物理 - 实验 · 物理学 2022-08-24 Yadong Lu , Alexis Romero , Michael James Fenton , Daniel Whiteson , Pierre Baldi

The CMS experiment makes use of a large variety of algorithms to identify the origin of particle jets measured in the detector. Through the study of jet substructure properties, jets originating from quarks, gluons, W/Z/Higgs bosons, top…

高能物理 - 实验 · 物理学 2020-12-14 Dennis Schwarz

We present a systematic evaluation of representation learning objectives for particle physics within a unified framework. Our study employs a shared transformer-based particle-cloud encoder with standardized preprocessing, matched sampling,…

机器学习 · 计算机科学 2025-11-18 Michael Chen , Raghav Kansal , Abhijith Gandrakota , Zichun Hao , Jennifer Ngadiuba , Maria Spiropulu

Machine learning (ML) techniques have recently enabled enormous gains in sensitivity to new phenomena across the sciences. In particle physics, much of this progress has relied on excellent simulations of a wide range of physical processes.…

数据分析、统计与概率 · 物理学 2025-10-20 Malte Algren , Tobias Golling , Francesco Armando Di Bello , Christopher Pollard

Many analyses at the CERN LHC exploit the substructure of jets to identify heavy resonances produced with high momenta that decay into multiple quarks and/or gluons. This paper presents a new technique for correcting the substructure of…

高能物理 - 实验 · 物理学 2025-11-18 CMS Collaboration

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…

高能物理 - 唯象学 · 物理学 2016-09-06 Benjamin Nachman , Pascal Nef , Ariel Schwartzman , Maximilian Swiatlowski , Chaowaroj Wanotayaroj

Since the beginning of 2010 the LHC provides p+p collisions at the highest center of mass energies to date, allowing to study high $\pT$ particle production and jet properties in a new energy regime. For a clear interpretation and the…

高能物理 - 实验 · 物理学 2019-08-13 Christian Klein-Boesing

A deep-learning approach based on the transformer architecture is developed to distinguish between jets originating from quarks and gluons. The algorithm operates on jets with transverse momentum $p_{\text{T}} > 20$ and pseudorapidity…

高能物理 - 实验 · 物理学 2025-12-04 ATLAS Collaboration

Hard QCD results in proton-proton collisions at sqrt(s) = 7 TeV with jets from data recorded up to the end of 2010 by the CMS and ATLAS experiments at the LHC are reported. Inclusive jet and di-jet cross section measurements as well as…

高能物理 - 实验 · 物理学 2015-06-03 Sven Menke

Some Beyond the Standard Model theories predict new particles that decay predominantly into top-antitop quark pairs. A search for top-antitop quark resonances that decay into the lepton plus jets final state is carried out with the ATLAS…

高能物理 - 实验 · 物理学 2013-10-07 Ruchika Nayyar

Machine-Learned Interatomic Potentials (MLIPs) require vast amounts of atomic structure data to learn forces and energies, and their performance continues to improve with training set size. Meanwhile, the even greater quantities of…

化学物理 · 物理学 2025-12-09 Manasa Kaniselvan , Benjamin Kurt Miller , Meng Gao , Juno Nam , Daniel S. Levine

We apply foundation models to data discovery and exploration tasks. Foundation models include large language models (LLMs) that show promising performance on a range of diverse tasks unrelated to their training. We show that these models…

数据库 · 计算机科学 2024-04-09 Moe Kayali , Anton Lykov , Ilias Fountalis , Nikolaos Vasiloglou , Dan Olteanu , Dan Suciu

The task of reconstructing particles from low-level detector response data to predict the set of final state particles in collision events represents a set-to-set prediction task requiring the use of multiple features and their correlations…

Searches for physics beyond the standard model are considered one of the corner stones of the physics program at the two multipurpose experiments, ATLAS and CMS, at the LHC. Both experiments have conducted numerous searches for new…

高能物理 - 实验 · 物理学 2019-08-14 Claudia Seitz

Accurate modeling of astrophysical jets is critical for understanding accretion systems and their impact on the interstellar medium. While astronomical observations can validate models, they have limitations. Controlled laboratory…

等离子体物理 · 物理学 2024-01-22 G. Rigon , C. Stoeckl , T. M. Johnson , J. Katz , J. Peebles , C. K. Li

Jets are suppressed and modified in heavy ion collisions, which serve as powerful probes to the properties of the quark-gluon plasma (QGP). Attributed to the abundant information carried by the jet constituents and reconstructed…

高能物理 - 唯象学 · 物理学 2023-08-22 Yi-Lun Du