[HTML][HTML] ATLAS flavour-tagging algorithms for the LHC Run 2 pp collision dataset

G Aad, B Abbott, DC Abbott, K Abeling, SH Abidi… - The European Physical …, 2023 - Springer
The flavour-tagging algorithms developed by the ATLAS Collaboration and used to analyse
its dataset of\(\sqrt {s}= 13\) TeV pp collisions from Run 2 of the Large Hadron Collider are …

A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery

Nature, 2022 - nature.com
The standard model of particle physics,,–describes the known fundamental particles and
forces that make up our Universe, with the exception of gravity. One of the central features of …

Observation of four-top-quark production in the multilepton final state with the ATLAS detector

G Aad, B Abbott, K Abeling, NJ Abicht, SH Abidi… - The European Physical …, 2023 - Springer
This paper presents the observation of four-top-quark (tt¯ tt¯) production in proton-proton
collisions at the LHC. The analysis is performed using an integrated luminosity of 140 fb-1 at …

Calibration of the light-flavour jet mistagging efficiency of the -tagging algorithms with +jets events using 139 of ATLAS proton-proton collision data at  …

Atlas Collaboration - arXiv preprint arXiv:2301.06319, 2023 - arxiv.org
The identification of $ b $-jets, referred to as $ b $-tagging, is an important part of many
physics analyses in the ATLAS experiment at the Large Hadron Collider and an accurate …

Search for resonant and non-resonant Higgs boson pair production in the decay channel using 13 TeV pp collision data from the ATLAS detector

G Aad, B Abbott, DC Abbott, A Abed Abud… - Journal of High Energy …, 2023 - Springer
A bstract A search for Higgs boson pair production in events with two b-jets and two τ-
leptons is presented, using a proton–proton collision dataset with an integrated luminosity of …

Machine learning in high energy physics: a review of heavy-flavor jet tagging at the LHC

S Mondal, L Mastrolorenzo - The European Physical Journal Special …, 2024 - Springer
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 …

[HTML][HTML] Measurement of the charge asymmetry in top-quark pair production in association with a photon with the ATLAS experiment

G Aad, B Abbott, DC Abbott, K Abeling, SH Abidi… - Physics Letters B, 2023 - Elsevier
A measurement of the charge asymmetry in top-quark pair (tt¯) production in association
with a photon is presented. The measurement is performed in the single-lepton tt¯ decay …

The Future of US Particle Physics--The Snowmass 2021 Energy Frontier Report

M Narain, L Reina, A Tricoli, M Begel, A Belloni… - arXiv preprint arXiv …, 2022 - arxiv.org
This report, as part of the 2021 Snowmass Process, summarizes the current status of collider
physics at the Energy Frontier, the broad and exciting future prospects identified for the …

Search for pair production of third-generation leptoquarks decaying into a bottom quark and a -lepton with the ATLAS detector

G Aad, B Abbott, K Abeling, SH Abidi… - The European Physical …, 2023 - Springer
A search for pair-produced scalar or vector leptoquarks decaying into ab-quark and a τ-
lepton is presented using the full LHC Run 2 (2015–2018) data sample of 139 fb-1 collected …

Jets and jet substructure at future colliders

J Bonilla, G Chachamis, BM Dillon, SV Chekanov… - Frontiers in …, 2022 - frontiersin.org
Even though jet substructure was not an original design consideration for the Large Hadron
Collider (LHC) experiments, it has emerged as an essential tool for the current physics …