77 citations · 302 across the 20 of their papers we have counts for
4 papers · 1 filter
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
Savannah Thais, Paolo Calafiura, Grigorios Chachamis +7
Many physical systems can be best understood as sets of discrete data with associated relationships. Where previously these sets of data have been formulated as series or image dat…
Charged particle tracking via edge-classifying interaction networks
Gage DeZoort, Savannah Thais, Javier Duarte +5
Recent work has demonstrated that geometric deep learning methods such as graph neural networks (GNNs) are well suited to address a variety of reconstruction problems in high energ…
Software Training in HEP
Sudhir Malik, Samuel Meehan, Kilian Lieret +44
Long term sustainability of the high energy physics (HEP) research software ecosystem is essential for the field. With upgrades and new facilities coming online throughout the 2020…
Search for vector-boson resonances decaying to a top quark and bottom quark in the lepton plus jets final state in collisions at = 13 TeV with the ATLAS detector
ATLAS Collaboration
A search for new charged massive gauge bosons, , is performed with the ATLAS detector at the LHC. Data were collected in proton-proton collisions at a centre-of-mass ener…