Improved constraints on effective top quark interactions using edge convolution networks

Improved constraints on effective top quark interactions using edge convolution networks

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 focus on a SMEFT analysis of pp → t t...

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Bibliographic Details
Main Authors: Oliver Atkinson, Akanksha Bhardwaj, Stephen Brown, Christoph Englert, David J. Miller, Panagiotis Stylianou
Format: Article
Language:English
Published: SpringerOpen 2022-04-01
Series:Journal of High Energy Physics
Subjects:
Beyond Standard Model
Effective Field Theories
Online Access:https://doi.org/10.1007/JHEP04(2022)137

Internet

https://doi.org/10.1007/JHEP04(2022)137

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