We provide an updated recommendation for the usage of sets of parton distribution functions
(PDFs) and the assessment of PDF and PDF+ ${\alpha} _ {s} $ uncertainties suitable for …

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 …

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 …

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 …

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 …

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 …

A bstract Measurements of Higgs boson production cross-sections are carried out in the
diphoton decay channel using 139 fb− 1 of pp collision data at\(\sqrt {s}\)= 13 TeV collected …

Jet energy scale and resolution measurements with their associated uncertainties are
reported for jets using 36–81 fb-1 of proton–proton collision data with a centre-of-mass …

Searches are performed for nonresonant and resonant di-Higgs boson production in the bb¯
γ γ final state. The dataset used corresponds to an integrated luminosity of 139 fb-1 of proton …

The performance of the ATLAS muon trigger system is evaluated with proton-proton ($ pp $)
and heavy-ion (HI) collision data collected in Run 2 during 2015-2018 at the Large Hadron …