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Record W7039515314

Measurement of the b jet cross section in events with a Z boson in pp(-) collisions at root s 1. 96 TeV

2006· article· en· W7039515314 on OpenAlexfundno aff

Bibliographic record

VenuePurdue e-Pubs (Purdue University System) · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Planning and Valuation
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaIstituto Nazionale di Fisica NucleareNational Science CouncilAlfred P. Sloan FoundationFermilabU.S. Department of EnergySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungRussian Foundation for Basic ResearchMinistry of Education, Culture, Sports, Science and TechnologyNational Science Foundation
KeywordsMuonBranching fractionJet (fluid)Collider Detector at FermilabBosonQuantum chromodynamicsLuminosityHiggs bosonCross section (physics)
DOInot available

Abstract

fetched live from OpenAlex

A measurement of the inclusive bottom jet cross section is presented for events containing a Z boson in p (p) over bar collisions at root s=1.96 TeV using the Collider Detector at Fermilab. Z bosons are identified in their electron and muon decay modes, and b jets with E-T > 20 GeV and vertical bar eta vertical bar < 1.5 are identified by reconstructing a secondary decay vertex. The measurement is based on an integrated luminosity of about 330 pb(-1). A cross section times branching ratio of sigma(Z+b jets)xB(Z ->center dot(+)center dot(-))=0.93 +/- 0.36 pb is found, where B(Z ->center dot(+)center dot(-)) is the branching ratio of the Z boson or gamma(*) into a single flavor dilepton pair (e or mu) in the mass range between 66 and 116 GeV/c(2). The ratio of b jets to the total number of jets of any flavor in the Z sample, within the same kinematic range as the b jets, is 2.36 +/- 0.92%. Here, the uncertainties are the quadratic sum of statistical and systematic uncertainties. Predictions made with next-to-leading order QCD agree, within experimental and theoretical uncertainties, with these measurements.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.194
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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