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Related papers: Machine learning in top quark physics at ATLAS and…

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The field of high energy physics (HEP) has seen a marked increase in the use of machine learning (ML) techniques in recent years. The proliferation of applications has revolutionised many aspects of the data processing pipeline at collider…

I give an overview of recent results on top quark properties and interactions, obtained using data collected with the CMS experiment during the years 2010--2011 at sqrt(s)= 7 TeV. Measurements are presented for the inclusive top pair…

High Energy Physics - Experiment · Physics 2019-08-13 Karl M. Ecklund

Measurements of top quark properties performed at the Large Hadron Collider are reviewed, with a particular emphasis on top-pair charge asymmetries, spin correlations and polarization measurements performed by the ATLAS and CMS…

High Energy Physics - Experiment · Physics 2014-10-30 Richard Hawkings

Future lepton colliders will have a rich top quark physics program which would add to our understanding of this interesting quark and promise an ultimate precision on the experimental knowledge of top-quark mass. We present possible…

High Energy Physics - Experiment · Physics 2019-08-14 Min Suk Kim

At the intersection of machine learning and quantum computing, Quantum Machine Learning (QML) has the potential of accelerating data analysis, especially for quantum data, with applications for quantum materials, biochemistry, and…

Quantum Physics · Physics 2023-03-17 M. Cerezo , Guillaume Verdon , Hsin-Yuan Huang , Lukasz Cincio , Patrick J. Coles

Since its discovery in 1995 by the CDF and D0 collaborations at the Fermilab Tevatron collider, the top quark has undergone intensive studies. Besides the Tevatron experiments, with the start of the LHC in 2010 a top quark factory started…

High Energy Physics - Experiment · Physics 2019-08-15 Yvonne Peters

This talk summarizes recent progress in top quark physics studies for high energy linear electron-positron colliders as presented at the LCWS2000 Workshop at Fermilab. New results were presented for top pair production at threshold and in…

High Energy Physics - Phenomenology · Physics 2009-11-07 Lynne H. Orr

Laser-plasma physics has developed rapidly over the past few decades as high-power lasers have become both increasingly powerful and more widely available. Early experimental and numerical research in this field was restricted to…

Machine Learning · Computer Science 2023-05-25 Andreas Döpp , Christoph Eberle , Sunny Howard , Faran Irshad , Jinpu Lin , Matthew Streeter

The study of the top quark has a central role for both the ATLAS and CMS experiments. The measurement of the $t\bar{t}$ production differential cross section, in particular, is sensitive to existence of new resonances, it is a stringent…

High Energy Physics - Experiment · Physics 2019-01-31 Federica Fabbri

Machine learning algorithms have recently emerged as a tool to generate force fields which display accuracies approaching the ones of the ab-initio calculations they are trained on, but are much faster to compute. The enhanced computational…

Computational Physics · Physics 2019-09-17 Claudio Zeni , Kevin Rossi , Aldo Glielmo , Francesca Baletto

The CMS and ATLAS experiments have performed detailed studies on the electroweakly produced top quarks at the LHC. These studies range from accurate measurements of the cross section and $|V_{\rm tb}|$ in different production modes to…

High Energy Physics - Experiment · Physics 2019-08-14 Abideh Jafari

Recent results in soft QCD at LHC by the ATLAS, CMS and TOTEM Collaborations are presented. Special focus is reserved to studies in diffractive and forward physics, and to the underlying event, with comparison with previous results and…

High Energy Physics - Experiment · Physics 2021-11-08 Davide Caforio

Machine learning has played an important role in the analysis of high-energy physics data for decades. The emergence of deep learning in 2012 allowed for machine learning tools which could adeptly handle higher-dimensional and more complex…

High Energy Physics - Experiment · Physics 2018-11-14 Dan Guest , Kyle Cranmer , Daniel Whiteson

The identification of anomalous events, not explained by the Standard Model of particle physics, and the possible discovery of exotic physical phenomena pose significant theoretical, experimental and computational challenges. The task will…

Quantum Physics · Physics 2025-12-23 Miranda Carou Laiño , Veronika Chobanova , Miriam Lucio Martínez

The Large Hadron Collider LHC is a top quark factory: due to its high design luminosity, LHC will produce about 200 millions of top quarks per year of operation. The large amount of data will allow to study with great precision the…

High Energy Physics - Experiment · Physics 2014-11-17 Marcello Barisonzi

The ATLAS potential for the study of the top quark properties and physics beyond the Standard Model in the top quark sector, is described. The measurements of the top quark charge, the spin and spin correlations, the Standard Model decay…

High Energy Physics - Experiment · Physics 2019-08-13 Dilip Jana

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

I will briefly review the physics of top quark at high energy colliders. A new discovery of single-top event at the Fermilab Tevatron is expected. At the CERN Large Hadron Collider, detailed top quark properties can be measured and new…

High Energy Physics - Phenomenology · Physics 2008-11-26 C. -P. Yuan

I summarize here the latest top quark physics results from the ATLAS, CDF, CMS and D0 Collaborations, first discussing the top quark production and then some of the latest top quark property measurements. These results are based on up to…

High Energy Physics - Experiment · Physics 2011-11-29 Frederic Deliot

A number of scientific competitions have been organised in the last few years with the objective of discovering innovative techniques to perform typical High Energy Physics tasks, like event reconstruction, classification and new physics…

Data Analysis, Statistics and Probability · Physics 2020-12-21 David Rousseau , Andrey Ustyuzhanin