A normalizing-flow neural network reconstructs the momenta of the neutrino and dark mediator in single top quark production and reproduces a top-quark spin-correlation variable more accurately than a multilayer perceptron.
Data At this stage, the analysis is phenomenological; real collider data is not used
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Reconstruction of angular correlations in the associated top quark and the dark matter mediator production
A normalizing-flow neural network reconstructs the momenta of the neutrino and dark mediator in single top quark production and reproduces a top-quark spin-correlation variable more accurately than a multilayer perceptron.