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Published in 2022 at "Journal of High Energy Physics"
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…
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Keywords:
top quark;
physics;
quark interactions;
improved constraints ... See more keywords
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Published in 2018 at "Physical Review D"
DOI: 10.1103/physrevd.98.095029
Abstract: New neutral vector bosons $Z'$ decaying to charged gauge boson pairs $W^+W^-$ are predicted in many scenarios of new physics, including models with an extended gauge sector such as $E_6$, left-right symmetric $Z^\prime_{\rm LRS}$ and…
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Keywords:
mixing mass;
improved constraints;
mass;
constraints mixing ... See more keywords