Bibliographic record
Abstract
The potential for probing the Standard Model of elementary particle physics by measuring the interactions of W-bosons with Z0-bosons and photons (WW and WWZ triple gauge-boson couplings) using TeV-scale proton-proton collisions is described in the context of the ATLAS detector at the 14 TeV Large Hadron Collider (LHC). The ATLAS detector and LHC are currently under construction at the European Organization for Nuclear Research (CERN), with the first data expected in 2006. New analysis techniques are presented in this thesis: (1) A new strategy for placing limits on the consistency of measured anomalous triple gauge-boson coupling parameters with the Standard Model is presented. The strategy removes the ambiguities of form factors, by reporting the limits as a function of a cutoff operating on the diboson system invariant mass. (2) The `optimal observables' analysis strategy is investigated in the context of hadron colliders, and found to be not competitive, as compared to other strategies. (3) Techniques for measuring the energy dependence of anomalous couplings are presented. Assuming the triple gauge-boson couplings are consistent with the Standard Model, the expected 95% condence intervals for anomalous couplings are -0:0033(stat), -0:0012(syst) < lambda_gamma < +0:0033(stat), +0:0012(syst) -0:0065(stat), -0:0032(syst) < lambda_Z < +0:0066(stat), +0:0031(syst) -0:073(stat), -0:015(syst) < Delta kappa_gamma < +0:076(stat), +0:0076(syst) -0:10(stat), -0:024(syst) < Delta kappa_Z < +0:12(stat), +0:024(syst) -0:00(64stat), -0:0058(syst) < Delta g1_Z < +0:010(stat), +0:0058(syst) for 30 fb-1 (about 3 years) of integrated low luminosity LHC data. In addition, a new phenomenological method for simulating higher order quantum chromodynamics corrections to hadronic processes using Monte Carlo techniques, called the phase space veto method, is presented. The method allows for the incorporation of next-to-leading order (NLO) matrix elements into showering and hadronization event generators, while avoiding double-counting and providing unweighted event generation. To demonstrate the method, an event generator using the phase space veto method for the process pp(pbar) -> + X -> lepton(+) lepton(-) + X at NLO is constructed and interfaced consistently to a general purpose showering and hadronization simulation package.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".