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Record W7073846484

Measurement of the azimuthal anisotropy of charged-particle production in $Xe+Xe$ collisions at $\sqrt{s_{\mathrm{NN}}}=5.44$ TeV with the ATLAS detector

2019· article· en· W7073846484 on OpenAlexfundno aff

Bibliographic record

VenueDESY (CERN, DESY, Fermilab, IHEP, and SLAC) · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaNatural Sciences and Engineering Research Council of CanadaMax-Planck-GesellschaftIsrael Science FoundationJoint Institute for Nuclear ResearchCentre National pour la Recherche Scientifique et TechniqueBundesministerium für Wissenschaft, Forschung und WirtschaftGeneral Secretariat for Research and TechnologyMinistry of Education, Culture, Sports, Science and TechnologyNederlandse Organisatie voor Wetenschappelijk OnderzoekBundesministerium für Bildung und ForschungFundação de Amparo à Pesquisa do Estado de São PauloJavna Agencija za Raziskovalno Dejavnost RSSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMinisterstwo Edukacji i NaukiCERNAustrian Science FundComisión Nacional de Investigación Científica y TecnológicaDanmarks GrundforskningsfondNational Research Center "Kurchatov Institute"Centre National de la Recherche ScientifiqueTürkiye Atom Enerjisi KurumuJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoNational Natural Science Foundation of ChinaServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesDepartment of Science and Technology, Ministry of Science and Technology, IndiaDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
KeywordsHarmonicsAtlas detectorCollisionAnisotropyDetectorMultiplicity (mathematics)Azimuth
DOInot available

Abstract

fetched live from OpenAlex

This paper describes the measurements of flow harmonics $v_2$-$v_6$ in 3 $\mu\mathrm{b}^{-1}$ of Xe+Xe collisions at $\sqrt{s_{\mathrm{NN}}}=5.44$ TeV performed using the ATLAS detector at the LHC. Measurements of the centrality, multiplicity and $p_{\mathrm{T}}$ dependence of the $v_n$ obtained using two-particle correlations and the scalar product technique are presented. The measurements are also performed using a template-fit procedure, which was developed to remove non-flow correlations in small collision systems. This non-flow removal is shown to have a significant influence on the measured $v_n$ at high $p_{\mathrm{T}}$, especially in peripheral events. Comparisons of the measured $v_n$ with measurements in Pb+Pb collisions and $p$+Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV are also presented. The $v_n$ values in Xe+Xe collisions are observed to be larger than those in Pb+Pb collisions for $n=2$, 3 and 4 in the most central events. However, with decreasing centrality or increasing harmonic order $n$, the $v_n$ values in Xe+Xe collisions become smaller than those in Pb+Pb collisions. The $v_n$ in Xe+Xe and Pb+Pb collisions are also compared as a function of the mean number of participating nucleons, $\langle N_\text{part} \rangle$, and the measured charged-particle multiplicity in the detector. The $v_3$ values in Xe+Xe and Pb+Pb collisions are observed to be similar at the same $\langle N_\text{part}\rangle$ or multiplicity, but the other harmonics are significantly different. Comparisons of the $v_n$ measurements with theoretical calculations are also made.

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 score0.207
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.036
GPT teacher head0.191
Teacher spread0.155 · 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
Published2019
Admission routes1
Has abstractyes

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