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In the Large Hardron Collider (LHC), multiple proton-proton collisions cause pileup in reconstructing energy information for a single primary collision (jet). This project aims to select the most important features and create a model to…

High Energy Physics - Phenomenology · Physics 2015-12-18 Vein S Kong , Jiakun Li , Yujia Zhang

The Large Hadron Collider at CERN currently provides p$+$p collisions at center of mass energies of $\sqrt{s} = 7$~TeV, which allow to study high $\pT$ particle production and jet properties in a new energy regime. For a clear…

High Energy Physics - Experiment · Physics 2019-08-13 Christian Klein-Boesing

Three machine learning models are used to perform jet origin classification. These models are optimized for deployment on a field-programmable gate array device. In this context, we demonstrate how latency and resource consumption scale…

From particle identification to the discovery of the Higgs boson, deep learning algorithms have become an increasingly important tool for data analysis at the Large Hadron Collider (LHC). We present an innovative end-to-end deep learning…

The capabilities of the ATLAS, CMS and LHCb detectors to reconstruct jets at forward rapidities (|\eta|> 3) in p-p collisions at the CERN Large Hadron Collider are reviewed. The QCD and Higgs physics motivations for such measurements are…

High Energy Physics - Experiment · Physics 2009-11-09 David d'Enterria

We review up-to-date results on high-pt particles and jets in heavy ion collisions by three major LHC experiments, ALICE, ATLAS, and CMS. Results of analyses of 2010 and 2011 Pb+Pb data at $\sqrt{s_{NN}} = 2.76$ TeV are discussed. We…

High Energy Physics - Experiment · Physics 2013-07-12 Martin Spousta

The Large Hadron Collider (LHC) is the first machine that provides high enough energy to produce large numbers of boosted top quarks. The decay products of these top quarks are confined to a cone in the top quark flight direction and can be…

High Energy Physics - Experiment · Physics 2015-09-14 Sebastian Schätzel

Generative modeling of high-energy collisions at the Large Hadron Collider (LHC) offers a data-driven route to simulations, anomaly detection, among other applications. A central challenge lies in the hybrid nature of particle-cloud data:…

High Energy Physics - Phenomenology · Physics 2025-11-25 Darius A. Faroughy , Manfred Opper , Cesar Ojeda

Artificial intelligence and machine learning have shown great promise in their ability to accelerate novel materials discovery. As researchers and domain scientists seek to unify and consolidate chemical knowledge, the case for models with…

We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton-proton collisions at an energy of $\sqrt{s} =$ 13 TeV at the CERN LHC. The algorithm is trained on a large…

Data Analysis, Statistics and Probability · Physics 2020-11-09 CMS Collaboration

A search for new phenomena in final states characterized by high jet multiplicity, an isolated lepton (electron or muon) and either zero or at least three $b$-tagged jets is presented. The search uses 36.1 fb$^{-1}$ of $\sqrt{s}$ = 13 TeV…

High Energy Physics - Experiment · Physics 2017-09-28 ATLAS Collaboration

Deep learning techniques have evolved rapidly in recent years, significantly impacting various scientific fields, including experimental particle physics. To effectively leverage the latest developments in computer science for particle…

Machine Learning · Computer Science 2025-01-14 Timo Saala , Matthias Schott

Jets are one of the most prominent physics signatures of high energy proton proton (p-p) collisions at the Large Hadron Collider (LHC). They are key physics objects for precision measurements and searches for new phenomena. This review…

High Energy Physics - Experiment · Physics 2015-09-21 Ariel Schwartzman

Jets are an important tool to probe the hot, dense medium produced in ultra-relativistic heavy-ion collisions. At the collision energies available at the Large Hadron Collider (LHC), there is copious production of hard processes, such that…

Nuclear Experiment · Physics 2019-08-13 Matthew Nguyen

Machine-learning models in high-energy physics are often trained on simulated data, where fully simulated samples are computationally expensive while fast simulation provides large statistics at reduced realism. In this work, we…

Machine Learning · Computer Science 2026-05-11 Matthias Schott , Lucie Flek

The observation of the strong suppression of high pT hadrons in heavy ion collisions at the Relativistic Heavy Ion Collider (RHIC) at BNL has motivated a large experimental program using hard probes to characterize the deconfined medium…

Nuclear Experiment · Physics 2010-11-11 M. Estienne

Jet quenching in heavy-ion collisions probes parton energy loss in the quark--gluon plasma (QGP), but the extracted transport properties may not be universally constrained across centrality, beam energy, and observable class. In this work,…

High Energy Physics - Phenomenology · Physics 2026-04-20 Dongguk Kim , Dongjo Kim , Jeongsu Bok , Beomkyu Kim

The identification of jets originating from b quarks is crucial both for the searches for new physics and for the measurement of standard model processes. The Compact Muon Solenoid (CMS) collaboration at the Large Hadron Collider (LHC) has…

High Energy Physics - Experiment · Physics 2014-09-02 Nitish Dhingra

The increase of the centre-of-mass energy of the Large Hadron Collider (LHC) to 13 TeV has opened up a new energy regime. Final states including high-momentum multi-jet signatures often dominate beyond standard model phenomena, in…

High Energy Physics - Experiment · Physics 2016-06-28 Clemens Lange

Studying heavy-flavor jets in pp collision is important since they can test pQCD calculations and be used as a reference for heavy-ion collisions. Jets in this analysis are reconstructed from charged particles using the…

High Energy Physics - Phenomenology · Physics 2025-04-28 Hadi Hassan , Neelkamal Mallick , D. J. Kim