MétaCan
Menu
Back to cohort
Record W7028498181

Flow measurements via two-particle azimuthal correlations in Au plus Au collisions at root S-NN=130 GeV

2002· article· en· W7028498181 on OpenAlexfundno aff

Bibliographic record

VenueIowa State University Digital Repository (Iowa State University) · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyAlexander von Humboldt-StiftungConselho Nacional de Desenvolvimento Científico e TecnológicoDepartment of Science and Technology, Ministry of Science and Technology, IndiaDeutscher Akademischer AustauschdienstFundação de Amparo à Pesquisa do Estado de São PauloU.S. Department of EnergyCentre National de la Recherche ScientifiqueNational Science Foundation
KeywordsElliptic flowHadronScalingThermalisationAzimuthRelativistic Heavy Ion ColliderImpact parameterCollisionFlow (mathematics)Transverse plane
DOInot available

Abstract

fetched live from OpenAlex

Two-particle azimuthal correlation functions are presented for charged hadrons produced in Au + Au collisions at the Relativistic Heavy Ion Collider (roots(NN) = 130 GeV). The measurements permit determination of elliptic flow without event-by-event estimation of the reaction plane. The extracted elliptic flow values (upsilon(2)) show significant sensitivity to both the collision centrality and the transverse momenta of emitted hadrons, suggesting rapid thermalization and relatively strong velocity fields. When scaled by the eccentricity of the collision zone epsilon, the scaled elliptic flow shows little or no dependence on centrality for charged hadrons with relatively low p(T). A breakdown of this epsilon scaling is observed for charged hadrons with p(T) > 1.0 GeV/c.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.218
Teacher spread0.194 · 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.

Study designSimulation or modeling
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
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueIowa State University Digital Repository (Iowa State University)Same topicHigh-Energy Particle Collisions ResearchFrench-language works237,207