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 …

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 …

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 …

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 …

Electron and photon performance measurements with the ATLAS detector using the 2015–2017
LHC proton-proton collision data Page 1 Journal of Instrumentation OPEN ACCESS Electron …

We present a new set of parton distributions, NNPDF3. 1, which updates NNPDF3. 0, the first
global set of PDFs determined using a methodology validated by a closure test. The update …

The performance of the missing transverse momentum (E $ _ {T}^{miss} $) reconstruction
with the ATLAS detector is evaluated using data collected in proton-proton collisions at the …

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 …

The success of the physics programme of the CMS experiment at the CERN LHC requires
the particles created in the LHC collisions to be reconstructed and identified as accurately as …