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相关论文: Cone Algorithm Jets in e+e- Collisions

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Jets are identified and their properties studied in center-of-mass energy sqrt(s) = 7 TeV proton-proton collisions at the Large Hadron Collider using charged particles measured by the ATLAS inner detector. Events are selected using a…

高能物理 - 实验 · 物理学 2015-03-19 ATLAS Collaboration

Surprisingly enough, the ratio of elastic to inelastic cross sections of proton interactions increases with energy in the interval correspond- ing to ISR - LHC (i.e. from 10 GeV to 10 TeV). That leads to special features of their spatial…

高能物理 - 唯象学 · 物理学 2017-12-29 I. M. Dremin , V. A. Nechitailo , S. N. White

Jets produced in high-energy heavy-ion collisions are modified compared to those in proton-proton collisions due to their interaction with the deconfined, strongly-coupled quark-gluon plasma (QGP). In this work, we employ machine learning…

高能物理 - 唯象学 · 物理学 2022-10-17 Yue Shi Lai , James Mulligan , Mateusz Płoskoń , Felix Ringer

Jet substructure measurements in heavy-ion collisions provide constraints on jet quenching and the medium response in the QGP. Though there has been remarkable progress in inclusive-charged-hadron jet substructure measurements,…

核实验 · 物理学 2025-08-22 Sierra Cantway

Jets in hadron collisions are very complicated with a long learning curve replete with errors. In relativistic heavy ion (RHI) collisions, it is likely that jets will be much more complicated with an even longer and more difficult learning…

核实验 · 物理学 2009-11-05 M. J. Tannenbaum

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…

高能物理 - 唯象学 · 物理学 2016-08-24 Piotr Pietrulewicz , Frank J. Tackmann , Wouter J. Waalewijn

We propose the characterization of fragmentation functions by the energy fraction x, a hadron takes away from the energy of the jet measured in the frame co-moving with the jet. Besides, we propose the usage of the jet mass as the…

高能物理 - 唯象学 · 物理学 2017-03-08 Karoly Urmossy

The energy dependence of the radii size of jets are studied in detail by the HBT correlation method using Monte Carlo Simulation generator Jetset7.4 to produce 40,000,000 events of e$^+$e$^-$ collisions at $\sqrt s =30$, 50, 70, 91.2, 110,…

高能物理 - 唯象学 · 物理学 2014-09-30 Chen Zheng-Yu , Wang Mei-Juan , Xie Yi-Long , Liang Zhu , Chen Gang

Inclusive single jet production in hadron collisions is considered. It is shown that the QCD parton model predicts a nonmonotonic dependence of the inclusive cross section on the fraction of the energy deposited in the jet registered, if it…

高能物理 - 唯象学 · 物理学 2008-02-03 Victor T. Kim , Grigorii B. Pivovarov , James P. Vary

The measurement of jets recoiling from a trigger hadron in heavy-ion collisions can be used to understand the properties of the Quark Gluon Plasma. Jet-medium interactions cause jets to lose energy in the medium and may modify the jet…

高能物理 - 实验 · 物理学 2019-01-10 Jaime Norman

Jet substructure studies at the Large Hadron Collider have been used to constrain parton distribution functions, test perturbative QCD, measure the strong-coupling constant, and probe the properties of the quark-gluon plasma. We extend…

高能物理 - 唯象学 · 物理学 2024-12-19 Zhuoheng Yang , Oleh Fedkevych , Roli Esha

We introduce a new 'quantile' analysis strategy to study the modification of jets as they traverse through a droplet of quark-gluon plasma. To date, most jet modification studies have been based on comparing the jet properties measured in…

高能物理 - 唯象学 · 物理学 2019-09-18 Jasmine Brewer , José Guilherme Milhano , Jesse Thaler

Final states with a vector boson and a hadronic jet allow one to infer the Born-level kinematics of the underlying hard scattering process, thereby probing the partonic structure of the colliding protons. At forward rapidities, the parton…

高能物理 - 唯象学 · 物理学 2019-06-26 A. Gehrmann-De Ridder , T. Gehrmann , E. W. N. Glover , A. Huss , D. M. Walker

It is a challenge for the theoretical particle physicists to perform the phenomenology of the Beyond Standard Model (BSM) theories using advanced simulations which can mimic the experimental environment at the colliders as closely as…

高能物理 - 唯象学 · 物理学 2022-11-22 Nilanjana Kumar

The theoretical description of the physics of multi-jets in hadronic collisions at high energies is based on "merging" methods, which combine short-timescale production of jets with long-timescale evolution of partonic showers. We point out…

高能物理 - 唯象学 · 物理学 2021-10-27 A. Bermudez Martinez , F. Hautmann , M. L. Mangano

We compare the abilities of the cluster-type jet algorithm, KtJet, and a mid-point iterating cone algorithm to reconstruct the top mass at the LHC. We discuss the information contained in the merging scales of cluster-type algorithms, and…

高能物理 - 唯象学 · 物理学 2009-11-11 Michael H. Seymour , Christopher Tevlin

The differential charged jet cross sections, jet fragmentation distributions, and jet shapes are measured in minimum bias proton-proton collisions at centre-of-mass energy $\sqrt{s}=7$ TeV using the ALICE detector at the LHC. Jets are…

核实验 · 物理学 2015-10-14 ALICE Collaboration

Deep learning techniques have the power to identify the degree of modification of high energy jets traversing deconfined QCD matter on a jet-by-jet basis. Such knowledge allows us to study jets based on their initial, rather than final…

高能物理 - 唯象学 · 物理学 2022-04-04 Yi-Lun Du , Daniel Pablos , Konrad Tywoniuk

Three jets events in the e$^+$e$^-$ collisions at 91.2 GeV are investigated using both HERWIG and JETSET Monte Carlo generators. The angles between the three jets are used to identify the quark and gluon jets. The analysis at parton level…

高能物理 - 唯象学 · 物理学 2007-05-23 Yu Meiling , Liu Lianshou

We show that a general purpose clusterization algorithm, Deterministic Annealing, can be adapted to the problem of jet identification in particle production by high energy collisions. In particular we consider the problem of jet searching…

高能物理 - 唯象学 · 物理学 2009-11-10 L. Angelini , G. Nardulli , L. Nitti , M. Pellicoro , D. Perrino , S. Stramaglia