activity
20162026
most citedATLAS data quality operations and performance for 2015-2018 data-taking

337 citations · 4.1k across the 83 of their papers we have counts for

collaborators

83 papers

physics.data-an2026

Hybrid pattern recognition for charged particle tracking: Hough transform and convolutional neural efficiency networks

Carlo Varni, Krzysztof Ciesla, Marcin Wolter +3

Reconstructing charged-particle tracks in silicon detectors is a central task in high-energy physics experiments and a key component of both offline reconstruction and online event…

cs.SE2026

How to Value Open Source Contributions? An Institutional Perspective from CERN

Julie Skoven Hinge, Micha Moskovic, Axel Naumann +2

We present a methodology to systematically assess the scale and impact of an organization's contributions to open source software (OSS). The methodology combines the archival data…

hep-ex2025★ 3 cited

Transforming jet flavour tagging at ATLAS

ATLAS Collaboration

Jet flavour tagging enables the identification of jets originating from heavy-flavour quarks in proton-proton collisions at the Large Hadron Collider, playing a critical role in it…

hep-ex2025

Observation of double parton scattering in same-sign W boson pair production in pp collisions at TeV with the ATLAS detector

ATLAS Collaboration

This letter reports the measurement of double parton scattering in same-sign W boson pair production with the ATLAS detector. The data set used corresponds to an integrated luminos…

hep-ex2024★ 7 cited

Expected Tracking Performance of the ATLAS Inner Tracker at the High-Luminosity LHC

ATLAS Collaboration

The high-luminosity phase of LHC operations (HL-LHC), will feature a large increase in simultaneous proton-proton interactions per bunch crossing up to 200, compared with a typical…

hep-ex2024★ 4 cited

Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network

ATLAS Collaboration

The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of to…