Improved constraints on effective top quark interactions using edge convolution networks
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DOI: 10.1007/jhep04(2022)137
Abstract: Abstract We explore the potential of Graph Neural Networks (GNNs) to improve the performance of high-dimensional effective field theory parameter fits to collider data beyond traditional rectangular cut-based differential distribution analyses. In this study, we… read more here.
Keywords: top quark; physics; quark interactions; improved constraints ... See more keywords