76 citations · 81 across the 4 of their papers we have counts for
4 papers
Enabling stable preservation of ML algorithms in high-energy physics with petrifyML
Andy Buckley, Louie Corpe, Martin Habedank +1
Machine learning (ML) in high-energy physics (HEP) has moved in the LHC era from an internal detail of experiment software, to an unavoidable public component of many physics data…
Constraints On New Theories Using Rivet : CONTUR version 3 release note
Andy Buckley, Jon Butterworth, Joseph Egan +7
The CONTUR toolkit exploits RIVET and its library of more than a thousand energy-frontier differential cross-section measurements from the Large Hadron Collider to allow rapid limi…
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…
Event Generators for High-Energy Physics Experiments
J. M. Campbell, M. Diefenthaler, T. J. Hobbs +209
We provide an overview of the status of Monte-Carlo event generators for high-energy particle physics. Guided by the experimental needs and requirements, we highlight areas of acti…