Measurement of the top-quark mass using missing E-T plus jets events with secondary\n vertex b-tagging at CDF II
Bibliographic record
Abstract
We present a measurement of the top-quark mass in p (p) over bar ollisions at root s = 1.96 TeV which uses events with an inclusive signature of missing transverse energy and jets. The event selection is sensitive to t (t) over bar -> W(+)bW(-)(b) over bar -> l nu bqq(') (b) over bar independent of the lepton flavor and results in a large acceptance for W -> tau nu decays. All-hadronic t (t) over bar decays and events with identified electrons or muons are vetoed to provide a statistically independent sample with respect to all previous measurements. The top-quark mass is inferred from the distribution of the scalar sum of all jet transverse energies and the missing transverse energy. Using 311 pb(-1) of integrated luminosity recorded by the Collider Detector at Fermilab, we measure a top-quark mass m(t) = 172.3(-9.6)(+10.8)(stat) +/- 10.8(syst) GeV/c(2). While the uncertainty on m(t) is larger than that of other measurements, the result is statistically uncorrelated with those of other methods and thus can help to reduce the overall m(t) uncertainty when combined with other existing measurements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".