From optimal observables to machine learning: an effective-field-theory analysis of e+e − → W+W − at future lepton colliders
Abstract We apply machine-learning techniques to the effective-field-theory analysis of the e + e − → W + W − processes at future lepton colliders, and demonstrate their advantages in comparison with conventional methods, such as optimal observables. In particular, we show that machine-learning meth...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
SpringerOpen
2024-05-01
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| Edice: | Journal of High Energy Physics |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/JHEP05(2024)292 |
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