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Optimised neural networks for online processing of ATLAS calorimeter data on FPGAs
Georges Aad, Raphael Bertrand, Lauri Laatu +4
A study of neural network architectures for the reconstruction of the energy deposited in the cells of the ATLAS liquid-argon calorimeters under high pile-up conditions expected at…
Beam-induced backgrounds measured in the ATLAS detector during local gas injection into the LHC beam vacuum
ATLAS Collaboration
Inelastic beam-gas collisions at the Large Hadron Collider (LHC), within a few hundred metres of the ATLAS experiment, are known to give the dominant contribution to beam backgroun…
Improving topological cluster reconstruction using calorimeter cell timing in ATLAS
ATLAS Collaboration
Clusters of topologically connected calorimeter cells around cells with large absolute signal-to-noise ratio (topo-clusters) are the basis for calorimeter signal reconstruction in…
The ATLAS Experiment at the CERN Large Hadron Collider: A Description of the Detector Configuration for Run 3
ATLAS Collaboration
The ATLAS detector is installed in its experimental cavern at Point 1 of the CERN Large Hadron Collider. During Run 2 of the LHC, a luminosity of $\mathcal{L}=2\times 10^{34}\mathr…
Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment
Georges Aad, Thomas Calvet, Nemer Chiedde +5
The ATLAS experiment measures the properties of particles that are products of proton-proton collisions at the LHC. The ATLAS detector will undergo a major upgrade before the high…
The Phase-I Trigger Readout Electronics Upgrade of the ATLAS Liquid Argon Calorimeters
G. Aad, A. V. Akimov, K. Al Khoury +195
The Phase-I trigger readout electronics upgrade of the ATLAS Liquid Argon calorimeters enhances the physics reach of the experiment during the upcoming operation at increasing Larg…