MétaCan
Menu
Back to cohort
Record W1869917882 · doi:10.48550/arxiv.0808.0269

ZZ to llvv production in pp collisions at sqrt(s) = 1.96 TeV

2008· article· en· W1869917882 on OpenAlexfundno aff

Bibliographic record

VenueLancaster EPrints (Lancaster University) · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersSecretaría de Ciencia y Técnica, Universidad de Buenos AiresScience and Technology Facilities CouncilConsejo Nacional de Investigaciones Científicas y TécnicasNatural Sciences and Engineering Research Council of CanadaFundação para o Desenvolvimento da UNESPCentre National de la Recherche ScientifiqueU.S. Department of EnergyVetenskapsrådetConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Bildung und ForschungRussian Foundation for Basic ResearchFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroWestern Canada Research GridKorea Science and Engineering FoundationIstituto Nazionale di Fisica NucleareDepartment of Science and Technology, Ministry of Science and Technology, IndiaGrantová Agentura České RepublikyDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)Federal Agency for Science and InnovationDeutsche ForschungsgemeinschaftAlexander von Humboldt-StiftungFundação de Amparo à Pesquisa do Estado de São PauloFermilabScience Foundation IrelandNational Science Foundation
KeywordsTevatronLuminosityPhysicsCollider Detector at FermilabColliderFermilabMeasure (data warehouse)Analytical Chemistry (journal)Particle physicsDatabaseComputer scienceChemistryAstrophysicsLarge Hadron Collider

Abstract

fetched live from OpenAlex

We describe a search for Z boson pair production in pp collisions at sqrt(s)= 1.96 TeV with the D0 detector at the Fermilab Tevatron Collider using a data sample corresponding to an integrated luminosity of 2.7 fb^-1. Using the final state decay ZZ to llvv (where l = e or mu) we measure a signal with a 2.6 standard deviations significance (2.0 expected) and measure a cross section of sigma(pp to ZZ + X) = 2.01 +- 0.93 (stat.) +- 0.29 (sys.) pb.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.226
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations13
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueLancaster EPrints (Lancaster University)Same topicParticle physics theoretical and experimental studiesFrench-language works237,207