Searching for dark matter through events with large missing transverse energy recoiling from hadronically decaying vector bosons with the ATLAS detector
Bibliographic record
Abstract
This thesis describes a search for dark matter through the $E_{T}^{miss}$ + V (qq) channel, in which V (qq) is a hadronically decaying W or Z boson, using the full 140 $fb^{−1}$ of 13 TeV centre-of-mass energy proton-proton collisions supplied by the Large Hadron Collider and measured by the ATLAS detector during Run 2 between 2015 and 2018. No significant excesses of events over the expected Standard Model processes are found. Limits are set at the 95% confidence level on the visible cross-section for this channel, and limits on model parameter space are set for the invisible Higgs, simplified s-channel, axion-like-particle, and two Higgs doublet with additional pseudo-scalar models. This work presents the first limits set on the coupling between axion-like-particles and W -bosons, which was found to have a 95% confidence level upper limit of $c_{\bar{W}} < 0.1 at \mathit{f}_{a} = 1 TeV$, and increases linearly with $c_{\bar{W}} /\mathit{f}_{a} = 0.11 TeV^{−1}$.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".