Atkinson, O., Bhardwaj, A., Brown, S., Englert, C. , Miller, D. J. and Stylianou, P. (2022) Improved constraints on effective top quark interactions using edge convolution networks. Journal of High Energy Physics, 2022(4), 137. (doi: 10.1007/JHEP04(2022)137)
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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 → tt⎯⎯ production, including top decays, where the linear effective field deformation is parametrised by thirteen independent Wilson coefficients. The application of GNNs allows us to condense the multidimensional phase space information available for the discrimination of BSM effects from the SM expectation by considering all available final state correlations directly. The number of contributing new physics couplings very quickly leads to statistical limitations when the GNN output is directly employed as an EFT discrimination tool. However, a selection based on minimising the SM contribution enhances the fit’s sensitivity when reflected as a (non-rectangular) selection on the inclusive data samples that are typically employed when looking for non-resonant deviations from the SM by means of differential distributions.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work is supported by the UK Science and Technology Facilities Council (STFC) under grant ST/T000945/1. O.A. is funded by a STFC studentship under grant ST/V506692/1. S.B. is funded by a Scottish Data Intensive Science Triangle (ScotDIST) studentship under grant ST/P006809/1. C.E. is supported by the IPPP Associateship Scheme and the Leverhulme Trust under grant RPG-2021-031. P.S. is funded by a STFC studentship under grant ST/T506102/1. |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Atkinson, Mr Oliver and Miller, Dr David and Brown, Stephen and Stylianou, Mr Panagiotis and Bhardwaj, Dr Akanksha and Englert, Professor Christoph |
| Authors: | Atkinson, O., Bhardwaj, A., Brown, S., Englert, C., Miller, D. J., and Stylianou, P. |
| College/School: | College of Science and Engineering > School of Physics and Astronomy |
| Journal Name: | Journal of High Energy Physics |
| Publisher: | Springer |
| ISSN: | 1126-6708 |
| ISSN (Online): | 1029-8479 |
| Published Online: | 22 April 2022 |
| Copyright Holders: | Copyright © 2022 The Authors |
| First Published: | First published in Journal of High Energy Physics 2022(4): 137 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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