245 citations · 926 across the 16 of their papers we have counts for
16 papers
Equivariance Is Not All You Need: Characterizing the Utility of Equivariant Graph Neural Networks for Particle Physics Tasks
Savannah Thais, Daniel Murnane
Incorporating inductive biases into ML models is an active area of ML research, especially when ML models are applied to data about the physical world. Equivariant Graph Neural Net…
Data Science and Machine Learning in Education
Gabriele Benelli, Thomas Y. Chen, Javier Duarte +20
The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sop…
Search for dark matter in association with an energetic photon in pp collisions at = 13 TeV with the ATLAS detector
ATLAS Collaboration
A search for dark matter is conducted in final states containing a photon and missing transverse momentum in protonproton collisions at = 13 TeV. The data, collected…
A search for the decay mode of the Higgs boson in collisions at = 13 TeV with the ATLAS detector
ATLAS Collaboration
A search for the decay of the Higgs boson, with boson decays into pairs of electrons or muons is presented. The analysis uses protonproton collision data at …
Combination of the W boson polarization measurements in top quark decays using ATLAS and CMS data at 8 TeV
CMS, ATLAS Collaborations
The combination of measurements of the W boson polarization in top quark decays performed by the ATLAS and CMS Collaborations is presented. The measurements are based on proton-pro…
boson production in Pb+Pb collisions at = 5.02 TeV measured by the ATLAS experiment
ATLAS Collaboration
The production yield of bosons is measured in the electron and muon decay channels in Pb+Pb collisions at = 5.02 TeV with the ATLAS detector. Data from…