Effectively Exploring New Physics: A first EFT interpretation using the WZ → ℓνℓℓ process with the ATLAS detector at the LHC
Bibliographic record
Abstract
The Standard Model (SM) of particle physics, while highly successful, has known limitations. The decoupling theorem and the effective principle guide Beyond the SM Physics research by allowing us to describe dynamics at relevant length scales without fully understanding smaller-scale interactions. The Standard Model Effective Field Theory (SMEFT) builds on these concepts, treating the SM as a low-energy approximation of a deeper, more fundamental theory. This fundamental theory introduces new heavy particles at a higher energy scale, $\Lambda$. By integrating out these beyond-the-Standard-Model (BSM) particles, SMEFT offers a model-independent way to describe their potential effects. This thesis focuses on electroweak processes involving the coupling of the $W$ and $Z$ bosons, where both bosons decay into leptonic final states. The data used to perform this analysis correspond to the full ATLAS Run-2 dataset, collected from 2015 to 2018, and correspond to an integrated luminosity of 139 fb$^{-1}$ and a centre-of-mass energy of $\sqrt{s} = 13~\text{TeV}$. Multiple kinematic and angular observables are used to constrain the strength of ten SMEFT parameters that affect the $WZ$ channel. Additionally, the thesis includes a study of the interference between different EFT operators, which is a novel contribution to the $WZ$ channel. The results are interpreted in the context of comparing data with the SMEFT predictions and exclusion limits are set at 95\% confidence level. No significant deviation from the Standard Model is observed for most of the 1D and 2D particle-level fits. Strong constraints on \texttt{cW} and \texttt{cHj3} have been obtained across all observables. These results provide a deeper understanding of potential deviations from the Standard Model and contribute to the ongoing search for new physics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".