Measurement of detector-corrected observables sensitive to the anomalous production of events with jets and large missing transverse momentum in $pp$ collisions at $\sqrt{s} = 13$ TeV using the ATLAS detector
Bibliographic record
Abstract
CERN-LHC. Observables sensitive to the anomalous production of events containing hadronic jets and missing momentum in the plane transverse to the proton beams at the Large Hadron Collider are presented. The observables are defined as a ratio of cross sections, for events containing jets and large missing transverse momentum to events containing jets and a pair of charged leptons from the decay of a $Z/\gamma^\ast$ boson. This definition minimises experimental and theoretical systematic uncertainties in the measurements. This ratio is measured differentially with respect to a number of kinematic properties of the hadronic system in two phase-space regions; one inclusive single-jet region and one region sensitive to vector-boson-fusion topologies. The data are found to be in agreement with the Standard Model predictions and used to constrain a variety of theoretical models for dark-matter production, including simplified models, effective field theory models, and invisible decays of the Higgs boson. The measurements use 3.2 fb${}^{-1}$ of proton-proton collision data recorded by the ATLAS experiment at a centre-of-mass energy of 13 TeV and are fully corrected for detector effects, meaning that the data can be used to constrain new-physics models beyond those shown in this paper. Numerator and denominator ($\geq 1$ jet): - $p_\text{T}^\text{miss} > 200$ GeV - no additional electron or muon with $p_\text{T}$(lepton)>7 GeV and |$\eta$(lepton)|<2.5 - |$y$(jet)|<4.5 and $p_\text{T}$(jet)>25 GeV - $\Delta\phi$(jet,$p_\text{T}^\text{miss}$) > 0.4 for the four leading jets with $p_\text{T}$(jet)>30 GeV - leading $p_\text{T}$(jet)>120 GeV and |$\eta$(jet)|<2.4 Numerator and denominator (VBF): - $p_\text{T}^\text{miss} > 200$ GeV - no additional electron or muon with $p_\text{T}$(lepton)>7 GeV and |$\eta$(lepton)|<2.5 - |$y$(jet)|<4.5 and $p_\text{T}$(jet)>25 GeV - $\Delta\phi$(jet,$p_\text{T}^\text{miss}$) > 0.4 for the four leading jets with $p_\text{T}$(jet)>30 GeV - leading pT(jet)>80 GeV and subleading pT(jet)>50 GeV - $m_\text{jj}$>200 GeV - no additional jets with $p_\text{T}$(jet)>25 GeV inside rapidity interval Denominator only ($\geq 1$ jet and VBF): - leading $p_\text{T}$(lepton)>80 GeV and |$\eta$(lepton)|<2.5 - subleading $p_\text{T}$(lepton)>7 GeV and |$\eta$(lepton)|<2.5 - 66 GeV $< m_{\ell\ell}<$ 116 GeV - $\Delta R$(jet,lepton)>0.5, otherwise jet is removed
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".