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In ultra-relativistic heavy-ion collisions at $\sqrt{s_{NN}}$ = 5.5 TeV at the ALICE experiment at the LHC, interactions between the high-$p_{T}$ partons and the hot, dense medium produced in the collisions, are expected to lead to jet…

Nuclear Experiment · Physics 2009-09-29 Sarah-Louise Blyth

Widespread adoption of high-temperature polymer electrolyte membrane fuel cells (HT-PEMFCs) and HT-PEM electrochemical hydrogen pumps (HT-PEM ECHPs) requires models and computational tools that provide accurate scale-up and optimization.…

Machine Learning · Computer Science 2022-03-01 Luis A. Briceno-Mena , Christopher G. Arges , Jose A. Romagnoli

The internal structure of jets produced in pp collisions at the LHC is measured using the ATLAS detector in an inclusive jet sample corresponding to 35pb-1 of pp collisions at sqrt(s) = 7 TeV. Classical jet shape and energy flow…

High Energy Physics - Experiment · Physics 2019-08-13 David W. Miller

Tensor Networks, a numerical tool originally designed for simulating quantum many-body systems, have recently been applied to solve Machine Learning problems. Exploiting a tree tensor network, we apply a quantum-inspired machine learning…

ATLAS Open Data for Education delivers proton--proton collision data from the ATLAS experiment at CERN to the public along with open-access resources for education and outreach. To date ATLAS has released a substantial amount of data from 8…

High Energy Physics - Experiment · Physics 2025-03-03 Giovanni Guerrieri

We present a fast simulation application based on a Deep Neural Network, designed to create large analysis-specific datasets. Taking as an example the generation of W+jet events produced in sqrt(s)= 13 TeV proton-proton collisions, we train…

Computational Physics · Physics 2020-10-06 Cheng Chen , Olmo Cerri , Thong Q. Nguyen , Jean-Roch Vlimant , Maurizio Pierini

Recent measurements dedicated to improving the understanding of modelling top quark pair (${\text{t}\overline{\text{t}}}$) production at the LHC are summarised. These measurements, performed with proton-proton collision data collected by…

High Energy Physics - Experiment · Physics 2019-01-17 Emyr Clement

Collisions of heavy ion nuclei at relativistic speeds (close to the speed of light) creates a high temperature and very dense form of matter, now known to consist of de-confined quarks and gluons, named the quark gluon plasma (QGP). In this…

High Energy Physics - Experiment · Physics 2018-03-13 Raghav Kunnawalkam Elayavalli

The radiation pattern within high energy quark- and gluon-initiated jets (jet substructure) is used extensively as a precision probe of the strong force as well as an environment for optimizing event generators with numerous applications in…

High Energy Physics - Experiment · Physics 2023-09-15 The H1 collaboration , V. Andreev , M. Arratia , A. Baghdasaryan , A. Baty , K. Begzsuren , A. Bolz , V. Boudry , G. Brandt , D. Britzger , A. Buniatyan , L. Bystritskaya , A. J. Campbell , K. B. Cantun Avila , K. Cerny , V. Chekelian , Z. Chen , J. G. Contreras , J. Cvach , J. B. Dainton , K. Daum , A. Deshpande , C. Diaconu , A. Drees , G. Eckerlin , S. Egli , E. Elsen , L. Favart , A. Fedotov , J. Feltesse , M. Fleischer , A. Fomenko , C. Gal , J. Gayler , L. Goerlich , N. Gogitidze , M. Gouzevitch , C. Grab , T. Greenshaw , G. Grindhammer , D. Haidt , R. C. W. Henderson , J. Hessler , J. Hladký , D. Hoffmann , R. Horisberger , T. Hreus , F. Huber , P. M. Jacobs , M. Jacquet , T. Janssen , A. W. Jung , J. Katzy , C. Kiesling , M. Klein , C. Kleinwort , H. T. Klest , R. Kogler , P. Kostka , J. Kretzschmar , D. Krücker , K. Krüger , M. P. J. Landon , W. Lange , P. Laycock , S. H. Lee , S. Levonian , W. Li , J. Lin , K. Lipka , B. List , J. List , B. Lobodzinski , O. R. Long , E. Malinovski , H. -U. Martyn , S. J. Maxfield , A. Mehta , A. B. Meyer , J. Meyer , S. Mikocki , V. M. Mikuni , M. M. Mondal , K. Müller , B. Nachman , Th. Naumann , P. R. Newman , C. Niebuhr , G. Nowak , J. E. Olsson , D. Ozerov , S. Park , C. Pascaud , G. D. Patel , E. Perez , A. Petrukhin , I. Picuric , D. Pitzl , R. Polifka , S. Preins , V. Radescu , N. Raicevic , T. Ravdandorj , P. Reimer , E. Rizvi , P. Robmann , R. Roosen , A. Rostovtsev , M. Rotaru , D. P. C. Sankey , M. Sauter , E. Sauvan , S. Schmitt , B. A. Schmookler , G. Schnell , L. Schoeffel , A. Schöning , F. Sefkow , S. Shushkevich , Y. Soloviev , P. Sopicki , D. South , A. Specka , M. Steder , B. Stella , U. Straumann , C. Sun , T. Sykora , P. D. Thompson , F. Torales Acosta , D. Traynor , B. Tseepeldorj , Z. Tu , G. Tustin , A. Valkárová , C. Vallée , P. Van Mechelen , D. Wegener , E. Wünsch , J. Žáček , J. Zhang , Z. Zhang , R. Žlebčík , H. Zohrabyan , F. Zomer

These are lecture notes presented at the online 2021 QUC Winter School on Energy Frontier hosted by the Korea Institute for Advanced Study. They extend lectures presented at the 2017 and 2018 CTEQ summer schools and the 2020 Hadron Collider…

High Energy Physics - Phenomenology · Physics 2022-01-03 Andrew J. Larkoski

Jet production in PbPb collisions at a nucleon-nucleon center-of-mass energy of 2.76 TeV was studied using the CMS detector at the LHC, using a data sample corresponding to an integrated luminosity of 6.7 inverse microbarn. Dijets were…

Nuclear Experiment · Physics 2019-08-13 Frank Ma

Jet substructure has emerged to play a central role at the Large Hadron Collider (LHC), where it has provided numerous innovative new ways to search for new physics and to probe the Standard Model in extreme regions of phase space. In this…

High Energy Physics - Phenomenology · Physics 2020-01-01 Andrew J. Larkoski , Ian Moult , Benjamin Nachman

The search for heavy resonances beyond the Standard Model (BSM) is a key objective at the LHC. While the recent use of advanced deep neural networks for boosted-jet tagging significantly enhances the sensitivity of dedicated searches, it is…

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…

High Energy Physics - Phenomenology · Physics 2020-04-17 Patrick T. Komiske , Eric M. Metodiev , Jesse Thaler

Due to the cost of developing and training deep learning models from scratch, machine learning engineers have begun to reuse pre-trained models (PTMs) and fine-tune them for downstream tasks. PTM registries known as "model hubs" support…

Events containing a pair of high energy hadronic jet can provide clear signatures in the search for new physics at high energy hadron colliders. The ATLAS and CMS experiments collected the data from LHC collisions at $\sqrt{s}$= 13 TeV…

High Energy Physics - Experiment · Physics 2017-09-15 Matteo Bauce

The application of machine learning (ML) in high energy physics (HEP), specifically in heavy-flavor jet tagging at Large Hadron Collider (LHC) experiments, has experienced remarkable growth and innovation in the past decade. This review…

High Energy Physics - Experiment · Physics 2024-07-23 Spandan Mondal , Luca Mastrolorenzo

At the High Luminosity LHC, selecting important physics processes such as (di-) Higgs production will be a high priority. The Phase-2 Upgrade of the CMS Level-1 Trigger will reconstruct particle candidates and use pileup mitigation for the…

Instrumentation and Detectors · Physics 2025-11-21 Stella Schaefer , Christopher Brown , Duc Hoang , Sioni Summers , Sebastian Wuchterl

The Standard Model processes of W, Z and top quark production in association with jets constitute a major background to searches for Supersymmetry at the LHC. We describe recent work performed in the ATLAS Collaboration to estimate these…

High Energy Physics - Experiment · Physics 2019-08-13 Mark Hodgkinson

The successful operation of the {\em Large Hadron Collider} (LHC) during the past two years allowed to explore particle interaction in a new energy regime. Measurements of important Standard Model processes like the production of high-\pt\…

High Energy Physics - Experiment · Physics 2012-07-02 Karl Jakobs