SciPost Submission Page
Staying on Top of SMEFT-Likelihood Analyses
by Nina Elmer, Maeve Madigan, Tilman Plehn, Nikita Schmal
Submission summary
| Authors (as registered SciPost users): | Nina Elmer · Nikita Schmal |
| Submission information | |
|---|---|
| Preprint Link: | https://arxiv.org/abs/2312.12502v2 (pdf) |
| Date submitted: | 2024-05-16 14:39 |
| Submitted by: | Elmer, Nina |
| Submitted to: | SciPost Physics |
| Ontological classification | |
|---|---|
| Academic field: | Physics |
| Specialties: |
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| Approach: | Phenomenological |
Abstract
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 in 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 correlated theory uncertainties. Finally, we present the first global SFITTER analysis combining the top and electroweak-Higgs sectors.
Author indications on fulfilling journal expectations
- Provide a novel and synergetic link between different research areas.
- Open a new pathway in an existing or a new research direction, with clear potential for multi-pronged follow-up work
- Detail a groundbreaking theoretical/experimental/computational discovery
- Present a breakthrough on a previously-identified and long-standing research stumbling block
Current status:
In refereeing