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Jets provide one of the primary probes of the quark-gluon plasma produced in ultrarelativistic heavy ion collisions and the cold nuclear matter explored in deep inelastic scattering experiments. However, despite important developments in…

高能物理 - 唯象学 · 物理学 2023-07-24 Wenyang Qian

We study the jet quenching effect in heavy ion collisions, based on medium-induced splitting functions calculated from Soft Collinear Effective Theory with Glauber Gluons. Our method is formulated in the language of DGLAP evolution…

高能物理 - 唯象学 · 物理学 2015-06-23 Grigory Ovanesyan

Interest in deep learning in collider physics has been growing in recent years, specifically in applying these methods in jet classification, anomaly detection, particle identification etc. Among those, jet classification using neural…

高能物理 - 唯象学 · 物理学 2024-08-05 Camellia Bose , Amit Chakraborty , Shreecheta Chowdhury , Saunak Dutta

Jet tagging is a classification problem in high-energy physics experiments that aims to identify the collimated sprays of subatomic particles, jets, from particle collisions and tag them to their emitter particle. Advances in jet tagging…

高能物理 - 唯象学 · 物理学 2024-06-14 Yash Semlani , Mihir Relan , Krithik Ramesh

Hard-jet correlations probe parton energy loss and the microscopic structure of the quark-gluon plasma formed in ultra-relativistic heavy-ion collisions. The correlation of high-$p_\mathrm{T}$ jets with other jets, hadrons, or electroweak…

核实验 · 物理学 2025-05-02 Riccardo Longo

We study quark and gluon jets separately using public collider data from the CMS experiment. Our analysis is based on 2.3/fb of proton-proton collisions at 7 TeV, collected at the Large Hadron Collider in 2011. We define two non-overlapping…

高能物理 - 唯象学 · 物理学 2022-11-30 Patrick T. Komiske , Serhii Kryhin , Jesse Thaler

A measurement of jet substructure variables is presented using data collected in 2016 by the ATLAS experiment at the LHC with proton-proton collisions at $\sqrt{s}=13$ TeV. Large-radius jets groomed with the trimming and soft-drop…

高能物理 - 实验 · 物理学 2019-10-04 ATLAS collaboration

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

A key question for machine learning approaches in particle physics is how to best represent and learn from collider events. As an event is intrinsically a variable-length unordered set of particles, we build upon recent machine learning…

高能物理 - 唯象学 · 物理学 2020-04-17 Patrick T. Komiske , Eric M. Metodiev , Jesse Thaler

With the advent of very powerful particle accelerators, such as RHIC and the LHC, it becomes possible to study QCD in high energy collisions, in which the gluon content of the proton or nucleus is probed and its density becomes often large…

高能物理 - 唯象学 · 物理学 2017-11-13 Pieter Taels

QCD jets provide one of the best avenues to extract information about the quark-gluon plasma produced in the aftermath of ultra relativistic heavy ions collisions. The structure of jets is determined by multiparticle quantum interference…

高能物理 - 唯象学 · 物理学 2022-10-20 João Barata , Xiaojian Du , Meijian Li , Wenyang Qian , Carlos A. Salgado

We compute double-logarithmically enhanced corrections to $\widehat{q}$ at relative order $O(g^2)$ in the setting of a weakly coupled quark-gluon plasma, observing how the thermal scale affects the region of phase space, which gives rise to…

高能物理 - 唯象学 · 物理学 2023-08-01 Eamonn Weitz

Quark and gluon jets provide one of the best ways to probe the matter produced in ultrarelativistic high-energy collisions, from cold nuclear matter to hot quark-gluon plasma. In this work, we propose a unified framework for efficient…

高能物理 - 唯象学 · 物理学 2025-06-10 Wenyang Qian , Meijian Li , Carlos A. Salgado , Michael Kreshchuk

Determining the best method for training a machine learning algorithm is critical to maximizing its ability to classify data. In this paper, we compare the standard "fully supervised" approach (that relies on knowledge of event-by-event…

高能物理 - 唯象学 · 物理学 2018-03-29 Timothy Cohen , Marat Freytsis , Bryan Ostdiek

With this article we introduce recent, improved machine learning methods from computer vision to the problem of event classification in particle physics. Supersymmetric scalar top decays to top quarks and weak scale bino-like neutralinos,…

高能物理 - 唯象学 · 物理学 2024-06-07 Gerrit Bickendorf , Manuel Drees

Jets are extended multipartonic systems and serve as a powerful tool for investigating the dynamics of emergent phenomena driven by many body QCD interactions. In heavy ion collisions, starting from their production during the perturbative…

高能物理 - 唯象学 · 物理学 2025-05-26 Balbeer Singh

To probe the properties of the quark-gluon plasma created in heavy-ion collisions, a very useful class of observables refers to the propagation of energetic jets. A jet is a collimated spray of particles generated via successive parton…

高能物理 - 唯象学 · 物理学 2020-10-07 Paul Caucal

In heavy-ion collisions, an abundant production of high-energy QCD jets allows to study how these multiparticle sprays are modified as they pass through the quark-gluon plasma. In order to shed new light on this process, we compute the…

高能物理 - 唯象学 · 物理学 2015-12-24 Jorge Casalderrey-Solana , Daniel Pablos , Konrad Tywoniuk

This paper presents the application of a variety of techniques to study jet substructure. The performance of various modified jet algorithms, or jet grooming techniques, for several jet types and event topologies is investigated for jets…

高能物理 - 实验 · 物理学 2013-10-28 ATLAS Collaboration

We study the production of an electroweak boson in association with jets, in processes where the jet with the highest transverse momentum is identified as quark-initiated. The quark/gluon tagging procedure is realised by a cut on a jet…

高能物理 - 唯象学 · 物理学 2021-09-28 Simone Caletti , Oleh Fedkevych , Simone Marzani , Daniel Reichelt