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We propose a new phenomenological approach to establish QCD factorization of jet cross sections in the heavy-ion environment. Starting from a factorization formalism in proton-proton collisions, we introduce medium modified jet functions to…

High Energy Physics - Phenomenology · Physics 2019-07-03 Jian-Wei Qiu , Felix Ringer , Nobuo Sato , Pia Zurita

Full jet reconstruction in heavy-ion collisions is expected to provide more sensitive measurements of jet quenching in hot QCD matter at RHIC. In this paper we review recent studies of jets utilizing modern jet reconstruction algorithms and…

Nuclear Experiment · Physics 2019-08-13 Sevil Salur

We start by presenting physical arguments for the impossibility of perturbative thermalization leading to (non-viscous) Bjorken hydrodynamic description of heavy ion collisions. These arguments are complimentary to our more formal argument…

High Energy Physics - Phenomenology · Physics 2009-11-11 Yuri V. Kovchegov

A new model of jet quenching in nuclear collisions, CUJET3.0, is constructed by generalizing the perturbative QCD based CUJET2.0 model to include two complementary non-perturbative features of the QCD confinement cross-over phase transition…

High Energy Physics - Phenomenology · Physics 2016-03-15 Jiechen Xu , Jinfeng Liao , Miklos Gyulassy

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…

Recent jet and jet substructure measurements at the LHC, and of machine-learning-based tagging techniques are presented using proton-proton collision data collected by the ATLAS and CMS experiments at CERN's Large Hadron Collider. These…

High Energy Physics - Experiment · Physics 2022-02-10 Meena Meena

Jet production and jet substructure modification in heavy-ion collisions have played an essential role in revealing the in-medium evolution of parton showers and the determination of the properties of strongly-interacting matter under…

High Energy Physics - Phenomenology · Physics 2020-04-29 Hai Tao Li , Ivan Vitev

Artificial intelligence offers the potential to automate challenging data-processing tasks in collider physics. To establish its prospects, we explore to what extent deep learning with convolutional neural networks can discriminate quark…

High Energy Physics - Phenomenology · Physics 2018-09-06 Patrick T. Komiske , Eric M. Metodiev , Matthew D. Schwartz

We perform a global analysis of experimental data on jet quenching for heavy flavors for scenarios with and without quark-gluon plasma formation in $pp$ collisions. We find that the theoretical predictions for the nuclear modification…

High Energy Physics - Phenomenology · Physics 2023-06-28 B. G. Zakharov

A status report on the jet quenching physics in heavy-ion collisions is given as it appears after more than 10 years of collecting and analysing data at the Relativistic Heavy Ion Collider (RHIC) and ~1.5 years of physics at the Large…

Nuclear Theory · Physics 2012-11-27 Barbara Betz

The impact of jet quenching on $Z^0$-tagged jets in relativistic heavy-ion collisions at the Large Hadron Collider (LHC) is investigated. We employ Sharpa Monte Carlo program that combines next-to-leading order matrix elements with matched…

Nuclear Theory · Physics 2018-08-08 Shan-Liang Zhang , Tan Luo , Xin-Nian Wang , Ben-Wei Zhang

Over the past 30 years, jet observables have proven to provide important information about the quark-gluon plasma created in heavy-ion collisions. I review the challenges, results, and open problems of jet physics in heavy-ion collisions,…

High Energy Physics - Phenomenology · Physics 2016-02-20 Barbara Betz

We make the connection between certain deep learning architectures and the renormalisation group explicit in the context of QCD by using a deep learning network to construct a toy parton shower model. The model aims to describe…

High Energy Physics - Phenomenology · Physics 2018-12-26 James William Monk

Standard jet finding techniques used in elementary particle collisions have not been successful in the high track density of heavy-ion collisions. This paper describes a modified cone-type jet finding algorithm developed for the complex…

Nuclear Experiment · Physics 2008-11-26 S-L Blyth , M J Horner , T Awes , T Cormier , H Gray , J L Klay , S R Klein , M van Leeuwen , A Morsch , G Odyniec , A Pavlinov

In these proceedings, we review the production of both light and heavy flavor dijets in heavy ion collisions and highlight a promising observable to expose their distinct signatures. We propose the modification of dijet invariant mass…

High Energy Physics - Phenomenology · Physics 2020-07-15 Jared Reiten

We study, in a pQCD calculation augmented by nuclear effects, the jet energy loss needed to reproduce the pi^0 spectra in Au+Au collisions at large p_T, measured by PHENIX at RHIC. The transverse width of the parton momentum distributions…

High Energy Physics - Phenomenology · Physics 2007-05-23 G. Fai , G. G. Barnafoldi , M. Gyulassy , P. Levai , G. Papp , I. Vitev , Y. Zhang

When an energetic parton traversing the QCD medium, it may suffer multiple scatterings and lose energy. This jet quenching phenomenon may lead to the suppression of leading hadron productions as well as medium modifications of full jet…

Nuclear Theory · Physics 2019-05-22 Ben-Wei Zhang , Guo-Yang Ma , Wei Dai , Sa Wang , Shan-Liang Zhang

A modification of the internal structure of jets is expected due to the production of a dense QCD medium, the Quark Gluon Plasma, in heavy-ion collisions. We discuss some aspects of jet reconstruction in p+p and A+A collisions and emphasize…

Nuclear Experiment · Physics 2009-10-15 M. Estienne

Jets can be used to probe the physical properties of the high energy density matter created in collisions at the Relativistic Heavy Ion Collider (RHIC). Measurements of strong suppression of inclusive hadron distributions and di-hadron…

Nuclear Experiment · Physics 2019-08-13 Sevil Salur

Jet identification is one of the fields in high energy physics that machine learning has begun to make an impact. More often than not, convolutional neural networks are used to classify jet images with the benefit that essentially no…

High Energy Physics - Phenomenology · Physics 2019-05-16 Hui Luo , Ming-xing Luo , Kai Wang , Tao Xu , Guohuai Zhu
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