Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
A.T.L.A.S. Collaboration, G. Aad, E. Aakvaag, B.K. Abbott et autres
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 topologically connected cells (topo-clusters). The Bayesian neural network (BNN) approach not only yields a continuous …
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White Rose Research Online (University of Leeds, The University of Sheffield, University of York)