[HTML][HTML] Review of top quark mass measurements in CMS

CMS collaboration - Physics Reports, 2025‏ - Elsevier
The top quark mass is one of the most intriguing parameters of the standard model (SM). Its
value indicates a Yukawa coupling close to unity, and the resulting strong ties to Higgs …

Exploring QCD matter in extreme conditions with Machine Learning

K Zhou, L Wang, LG Pang, S Shi - Progress in Particle and Nuclear Physics, 2024‏ - Elsevier
In recent years, machine learning has emerged as a powerful computational tool and novel
problem-solving perspective for physics, offering new avenues for studying strongly …

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 s= 13 TeV pp collisions from Run 2 of the Large Hadron Collider are presented …

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 …

Observation of quantum entanglement with top quarks at the ATLAS detector

Atlas Collaboration - Nature, 2024‏ - pmc.ncbi.nlm.nih.gov
Entanglement is a key feature of quantum mechanics1–3, with applications in fields such as
metrology, cryptography, quantum information and quantum computation4–8. It has been …

The path to proton structure at 1% accuracy: NNPDF Collaboration

RD Ball, S Carrazza, J Cruz-Martinez… - The European Physical …, 2022‏ - Springer
We present a new set of parton distribution functions (PDFs) based on a fully global dataset
and machine learning techniques: NNPDF4. 0. We expand the NNPDF3. 1 determination …

Electron and photon efficiencies in LHC Run 2 with the ATLAS experiment

G Aad, B Abbott, K Abeling, NJ Abicht, SH Abidi… - Journal of High Energy …, 2024‏ - Springer
A bstract Precision measurements of electron reconstruction, identification, and isolation
efficiencies and photon identification efficiencies are presented. They use the full Run 2 data …

Studies of the muon momentum calibration and performance of the ATLAS detector with pp collisions at  TeV

G Aad, B Abbott, K Abeling, SH Abidi… - The European Physical …, 2023‏ - Springer
This paper presents the muon momentum calibration and performance studies for the
ATLAS detector based on the pp collisions data sample produced at s= 13 TeV at the LHC …

Muon reconstruction and identification efficiency in ATLAS using the full Run 2 pp collision data set at TeV

ATLAS Collaboration atlas. publications@ cern … - The European Physical …, 2021‏ - Springer
This article documents the muon reconstruction and identification efficiency obtained by the
ATLAS experiment for 139 fb^-1 fb-1 of pp collision data at s= 13 s= 13 TeV collected …

Electron and photon reconstruction and identification with the CMS experiment at the CERN LHC

CMS collaboration - arxiv preprint arxiv:2012.06888, 2020‏ - arxiv.org
The performance is presented of the reconstruction and identification algorithms for
electrons and photons with the CMS experiment at the LHC. The reported results are based …