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Top tagging has emerged as a fast-evolving subject due to the top quark's significant role in probing physics beyond the standard model. For the reconstruction of top jets, machine learning models have shown a substantial improvement in the…

高能物理 - 唯象学 · 物理学 2024-12-30 Biplob Bhattacherjee , Camellia Bose , Amit Chakraborty , Rhitaja Sengupta

While Transformer-based and standard Graph Neural Networks (GNNs) have proven to be the best performers in classifying different types of jets, they require substantial computational power. We explore the scope of using a lightweight and…

高能物理 - 唯象学 · 物理学 2026-02-23 Rajneil Baruah , Subhadeep Mondal , Sunando Kumar Patra , Satyajit Roy

We develop taggers for multi-pronged jets that are simple functions of jet substructure (so-called `subjettiness') variables. These taggers can be approximately decorrelated from the jet mass in a quite simple way. Specifically, we use a…

高能物理 - 唯象学 · 物理学 2020-07-15 J. A. Aguilar-Saavedra , B. Zaldivar

Heavy flavour jet tagging is widely used in the determination of cross sections including the production of heavy flavoured quarks. This requires the knowledge of heavy and light flavour jet tagging efficiencies and their uncertainties. A…

计算物理 · 物理学 2009-05-14 Lars Sonnenschein

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

Deep learning has achieved remarkable success in jet classification tasks, yet a key challenge remains: understanding what these models learn and how their features relate to known QCD observables. Improving interpretability is essential…

高能物理 - 唯象学 · 物理学 2026-03-31 Partha Konar , Vishal S. Ngairangbam , Michael Spannowsky , Deepanshu Srivastava

Attention-based transformer models have become increasingly prevalent in collider analysis, offering enhanced performance for tasks such as jet tagging. However, they are computationally intensive and require substantial data for training.…

高能物理 - 唯象学 · 物理学 2024-06-04 A. Hammad , Mihoko M. 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…

In this paper we study aspects of top tagging from first principles of QCD. We find that the method known as the CMS top tagger becomes collinear unsafe at high $p_t$ and propose variants thereof which are IRC safe, and hence suitable for…

高能物理 - 唯象学 · 物理学 2018-10-17 Mrinal Dasgupta , Marco Guzzi , Jacob Rawling , Gregory Soyez

We develop an algorithm based on an interaction network to identify high-transverse-momentum Higgs bosons decaying to bottom quark-antiquark pairs and distinguish them from ordinary jets that reflect the configurations of quarks and gluons…

We explore the scale-dependence and correlations of jet substructure observables to improve upon existing techniques in the identification of highly Lorentz-boosted objects. Modified observables are designed to remove correlations from…

高能物理 - 唯象学 · 物理学 2016-06-09 James Dolen , Philip Harris , Simone Marzani , Salvatore Rappoccio , Nhan Tran

We propose a novel method in that quark-gluon tagging of the jets emitted as initial state radiation (ISR) can boost searches of invisible Higgs from gluon fusion processes against irreducible electroweak vector boson productions. While…

高能物理 - 唯象学 · 物理学 2020-12-30 Won Sang Cho , Hyung Do Kim , Dongsub Lee

Identifying jets originating from bottom quarks is vital in collider experiments for new physics searches. This paper proposes a novel approach based on Retentive Networks (RetNet) for b-jet tagging using low-level features of jet…

高能物理 - 实验 · 物理学 2024-12-12 Ayse Asu Guvenli , Bora Isildak

The modification of quark- and gluon-initiated jets in the quark-gluon plasma produced in heavy-ion collisions is a long-standing question that has not yet received a definitive answer from experiments. In particular, the size of the…

高能物理 - 唯象学 · 物理学 2022-11-30 Yueyang Ying

Three jet events arising from decays of the $Z^0$ boson, collected by the DELPHI detector at LEP, were used to measure differences in the properties of quark and gluon jet fragmentation. Gluon jets were anti-tagged in $b\bar{b}g$ events, by…

高能物理 - 实验 · 物理学 2007-05-23 S. Marti i Garcia

We explore the innovative use of MLP-Mixer models for real-time jet tagging and establish their feasibility on resource-constrained hardware like FPGAs. MLP-Mixers excel in processing sequences of jet constituents, achieving…

仪器与探测器 · 物理学 2025-12-30 Chang Sun , Jennifer Ngadiuba , Maurizio Pierini , Maria Spiropulu

This is a summary of the latest results of the DELPHI Collaboration on the properties of identified quark and gluon jets. It covers the measurement of the fragmentation functions of gluons and quarks and their scaling violation behaviour as…

高能物理 - 唯象学 · 物理学 2007-05-23 Oliver Klapp , Patrick Langefeld

The identification of jets resulting from the fragmentation and hadronization of b quarks is an important part of high-pT collider physics. The methods used by the CDF and DO collaborations to perform this identification are described,…

高能物理 - 实验 · 物理学 2019-08-14 T. Wright

We study the issue of separating hadronic jets that contain bottom quarks ($b$-jets) from jets featuring light partons only. We develop a novel approach to $b$-tagging that exploits the application of QCD-inspired jet substructure…

高能物理 - 唯象学 · 物理学 2023-03-01 Oleh Fedkevych , Charanjit K. Khosa , Simone Marzani , Federico Sforza

Jet identification tools are crucial for new physics searches at the LHC and at future colliders. We introduce the concept of Mass Unspecific Supervised Tagging (MUST) which relies on considering both jet mass and transverse momentum…

高能物理 - 唯象学 · 物理学 2021-03-17 J. A. Aguilar-Saavedra , F. R. Joaquim , J. F. Seabra