中文
相关论文

相关论文: Quark Gluon Jet Discrimination with Weakly Supervi…

200 篇论文

Jet tagging is a crucial classification task in high energy physics. Recently the performance of jet tagging has been significantly improved by the application of deep learning techniques. In this study, we introduce a new architecture for…

高能物理 - 唯象学 · 物理学 2023-11-29 Minxuan He , Daohan Wang

Jet quenching is a phenomenon in heavy-ion collisions arising from jet interactions with the quark-gluon plasma (QGP). Its study is complicated by the interplay of multiple physics processes that affect jet observables. In addition,…

高能物理 - 唯象学 · 物理学 2026-05-01 Yilun Wu , Yi Chen , Julia Velkovska

We introduce jet topics: a framework to identify underlying classes of jets from collider data. Because of a close mathematical relationship between distributions of observables in jets and emergent themes in sets of documents, we can apply…

高能物理 - 唯象学 · 物理学 2018-06-20 Eric M. Metodiev , Jesse Thaler

Over the past decade, a large number of jet substructure observables have been proposed in the literature, and explored at the LHC experiments. Such observables attempt to utilize the internal structure of jets in order to distinguish those…

Classification of jets as originating from light-flavor or heavy-flavor quarks is an important task for inferring the nature of particles produced in high-energy collisions. The large and variable dimensionality of the data provided by the…

高能物理 - 实验 · 物理学 2016-12-07 Daniel Guest , Julian Collado , Pierre Baldi , Shih-Chieh Hsu , Gregor Urban , Daniel Whiteson

The identification of jets originating from quarks and gluons, often referred to as quark/gluon tagging, plays an important role in various analyses performed at the Large Hadron Collider, as Standard Model measurements and searches for new…

高能物理 - 实验 · 物理学 2024-02-21 ATLAS Collaboration

Jet interactions in a hot QCD medium created in heavy-ion collisions are conventionally assessed by measuring the modification of the distributions of jet observables with respect to the proton-proton baseline. However, the steeply falling…

高能物理 - 唯象学 · 物理学 2021-04-01 Yi-Lun Du , Daniel Pablos , Konrad Tywoniuk

The observation of quark and gluon jets has played a crucial role in establishing Quantum Chromodynamics [QCD] as the theory of the strong interactions within the Standard Model of particle physics. The jets, narrowly collimated bundles of…

高能物理 - 唯象学 · 物理学 2015-03-17 Ahmed Ali , Gustav Kramer

Jet quenching has long been regarded as one of the key signatures for the formation of quark-gluon plasma in heavy-ion collisions. Despite significant efforts, the separate identification of quark and gluon jet quenching has remained as a…

高能物理 - 唯象学 · 物理学 2023-10-19 Shan-Liang Zhang , Jinfeng Liao , Guang-You Qin , Enke Wang , Hongxi Xing

With deep learning techniques, the degree of modification of energetic jets that traversed hot QCD medium can be identified on a jet-by-jet basis. Due to the strong correlations between the degree of jet modification and its traversed…

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

I explore many aspects of jet substructure at the Large Hadron Collider, ranging from theoretical techniques for jet calculations, to phenomenological tools for better searches with jets, to software for implementing and comparing such…

高能物理 - 唯象学 · 物理学 2015-03-17 Christopher K. Vermilion

Two suggested models of jet fragmentation in a quark-gluon plasma have been tested, combined and further developed. This has been done by generating hard processes in proton-proton collisions at $\sqrt{s}=2.76$ GeV in PYTHIA 8 with a…

高能物理 - 唯象学 · 物理学 2011-09-15 Viktor Linders

We introduce a new jet observable {\em zest} defined on exclusively constructed jets and study its potential to discriminate jets originated from Standard Model heavy particles like $W,~Z$ bosons and top quark from gluon initiated jets.…

高能物理 - 唯象学 · 物理学 2021-01-04 Ankita Budhraja , Ambar Jain

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

The system of light electroweakinos and heavy squarks gives rise to one of the most challenging signatures to detect at the LHC. It consists of missing transverse energy recoiled against a few hadronic jets originating either from QCD…

高能物理 - 唯象学 · 物理学 2025-06-03 Rafał Masełek , Mihoko M. Nojiri , Kazuki Sakurai

The substructure of jets produced in an exclusive and a charm-induced dijet sample in photoproduction and in charged and neutral current interactions has been studied with the ZEUS detector at HERA. Jets were identified using the…

高能物理 - 实验 · 物理学 2017-08-23 Monica Vazquez

The isolation of pure samples of quark and gluon jets is of key interest at hadron colliders. Recent work has employed topic modeling to disentangle the underlying distributions in mixed samples obtained from experiments. However, current…

高能物理 - 唯象学 · 物理学 2023-06-05 Matthew J. Dolan , Ayodele Ore

Gluon jets are identified in e+e- hadronic annihilation events by tagging two quark jets in the same hemisphere of an event. The gluon jet is defined inclusively as all the particles in the opposite hemisphere. Gluon jets defined in this…

高能物理 - 实验 · 物理学 2008-11-26 The OPAL Collaboration , K. Ackerstaff et al

To measure the characteristics of quark and gluon jets in hadron-hadron collisions, two samples of jets are used. Given the large statistics of jets at the LHC, the two-sample method requires taking into account the following corrections:…

高能物理 - 唯象学 · 物理学 2023-11-13 S. G. Shulha

Jet flavour tagging is crucial in experimental high-energy physics. A tagging algorithm, DeepJetTransformer, is presented, which exploits a transformer-based neural network that is substantially faster to train than state-of-the-art graph…

高能物理 - 实验 · 物理学 2025-02-11 Freya Blekman , Florencia Canelli , Alexandre De Moor , Kunal Gautam , Armin Ilg , Anna Macchiolo , Eduardo Ploerer