[HTML][HTML] 50 Years of quantum chromodynamics: Introduction and Review

F Gross, E Klempt, SJ Brodsky, AJ Buras… - The European Physical …, 2023 - Springer
Quantum Chromodynamics, the theory of quarks and gluons, whose interactions can be
described by a local SU (3) gauge symmetry with charges called “color quantum numbers” …

Jet substructure at the Large Hadron Collider: a review of recent advances in theory and machine learning

AJ Larkoski, I Moult, B Nachman - Physics Reports, 2020 - Elsevier
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 …

Energy flow networks: deep sets for particle jets

PT Komiske, EM Metodiev, J Thaler - Journal of High Energy Physics, 2019 - Springer
A bstract 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 …

Jet substructure at the large hadron collider

R Kogler, B Nachman, A Schmidt, L Asquith… - Reviews of Modern …, 2019 - APS
Jet substructure has emerged to play a central role at the Large Hadron Collider, where it
has provided numerous innovative ways to search for new physics and to probe the …

Looking inside jets

S Marzani, G Soyez, M Spannowsky - 2019 - Springer
The study of the internal structure of hadronic jets has become in recent years a very active
area of research in particle physics. Jet substructure techniques are increasingly used in …

Soft drop

AJ Larkoski, S Marzani, G Soyez, J Thaler - Journal of High Energy Physics, 2014 - Springer
A bstract We introduce a new jet substructure technique called “soft drop declustering”,
which recursively removes soft wide-angle radiation from a jet. The soft drop algorithm …

Performance of top-quark and W W-boson tagging with ATLAS in Run 2 of the LHC

M Aaboud, G Aad, B Abbott, O Abdinov… - The European Physical …, 2019 - Springer
The performance of identification algorithms (“taggers”) for hadronically decaying top quarks
and W bosons in pp collisions at ss= 13 TeV recorded by the ATLAS experiment at the Large …

Jet-images—deep learning edition

L de Oliveira, M Kagan, L Mackey, B Nachman… - Journal of High Energy …, 2016 - Springer
A bstract Building on the notion of a particle physics detector as a camera and the collimated
streams of high energy particles, or jets, it measures as an image, we investigate the …

Classification without labels: Learning from mixed samples in high energy physics

EM Metodiev, B Nachman, J Thaler - Journal of High Energy Physics, 2017 - Springer
A bstract Modern machine learning techniques can be used to construct powerful models for
difficult collider physics problems. In many applications, however, these models are trained …

Les Houches 2023: Physics at TeV Colliders: Standard Model Working Group Report

J Andersen, B Assi, K Asteriadis, P Azzurri… - arxiv preprint arxiv …, 2024 - arxiv.org
Les Houches 2023 Proceedings Page 1 LES HOUCHES 2023: PHYSICS AT TEV COLLIDERS
STANDARD MODEL WORKING GROUP REPORT Conveners Higgs Physics: M. Donegà …