Advances in machine learning methods provide tools that have broad applicability in
scientific research. These techniques are being applied across the diversity of nuclear …

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” …

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 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 …

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 …

Electron and photon triggers covering transverse energies from 5 GeV GeV to several TeV
TeV are essential for the ATLAS experiment to record signals for a wide variety of physics …

Combined measurements of Higgs boson production cross sections and branching fractions
are presented. The combination is based on the analyses of the Higgs boson decay modes …

New sets of CMS underlying-event parameters (“tunes”) are presented for the pythia 8 event
generator. These tunes use the NNPDF3. 1 parton distribution functions (PDFs) at leading …

Algorithms used for the reconstruction and identification of electrons in the central region of
the ATLAS detector at the Large Hadron Collider (LHC) are presented in this paper; these …