Staying on Top of SMEFT-Likelihood Analyses

Fuente: arXiv
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Auteurs principaux: Elmer, Nina, Madigan, Maeve, Plehn, Tilman, Schmal, Nikita
Format: Preprint
Publié: 2023
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author Elmer, Nina
Madigan, Maeve
Plehn, Tilman
Schmal, Nikita
author_facet Elmer, Nina
Madigan, Maeve
Plehn, Tilman
Schmal, Nikita
contents We present a new global SMEFT analysis of LHC data in the top sector. After updating our set of measurements, we show how public ATLAS likelihoods can be incorporated into an external global analysis and how our analysis benefits from the additional information. We find that, unlike for the Higgs and electroweak sector, the SMEFT analysis of the top sector is mostly limited by the theory uncertainties. Finally, we present the first global SFitter analysis combining the top and electroweak-Higgs sectors.
format Preprint
id arxiv_https___arxiv_org_abs_2312_12502
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Staying on Top of SMEFT-Likelihood Analyses
Elmer, Nina
Madigan, Maeve
Plehn, Tilman
Schmal, Nikita
High Energy Physics - Phenomenology
We present a new global SMEFT analysis of LHC data in the top sector. After updating our set of measurements, we show how public ATLAS likelihoods can be incorporated into an external global analysis and how our analysis benefits from the additional information. We find that, unlike for the Higgs and electroweak sector, the SMEFT analysis of the top sector is mostly limited by the theory uncertainties. Finally, we present the first global SFitter analysis combining the top and electroweak-Higgs sectors.
title Staying on Top of SMEFT-Likelihood Analyses
topic High Energy Physics - Phenomenology
url https://arxiv.org/abs/2312.12502