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Record W2730302267

Forward-Backward Asymmetries in Top-Antitop Quark Production at the Tevatron

2016· paratext· en· W2730302267 on OpenAlexfundno aff
T. Aaltonen

Bibliographic record

VenueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2016
Typeparatext
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilMinistry of Education and Science of UkraineCentre National de la Recherche ScientifiqueU.S. Department of EnergyVetenskapsrådetConselho Nacional de Desenvolvimento Científico e TecnológicoNatural Sciences and Engineering Research Council of CanadaConsejo Nacional de Investigaciones Científicas y TécnicasBundesministerium für Bildung und ForschungRussian Foundation for Basic ResearchAlfred P. Sloan FoundationNational Science CouncilMinistry of Education, Culture, Sports, Science and TechnologySecretaría de Ciencia y Técnica, Universidad de Buenos AiresFermilabScience Foundation IrelandNational Science FoundationRoyal SocietyDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Deutsche ForschungsgemeinschaftFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroDepartment of Science and Technology, Ministry of Science and Technology, IndiaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsTevatronParticle physicsTop quarkPhysicsProduction (economics)QuarkLarge Hadron ColliderEconomics
DOInot available

Abstract

fetched live from OpenAlex

We present the combined results on inclusive forward-backward asymmetries in the production of top-antitop quark pairs and their decay leptons. The analysis is based on measurements by the CDF and D0 experiments at the Fermilab $p\bar{p}$ Tevatron collider using all the data collected at $\sqrt{s}$ = 1:96 TeV. The measured asymmetries are in agreement with standard model predictions.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.108
Threshold uncertainty score0.666

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.012
GPT teacher head0.230
Teacher spread0.217 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

Explore more

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