MétaCan
Menu
Back to cohort
Record W4417202233 · doi:10.1103/xqxz-8bhf

Measurement of the azimuthal anisotropy of charged particles in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msqrt> <mml:msub> <mml:mi>s</mml:mi> <mml:mrow> <mml:mi>N</mml:mi> <mml:mi>N</mml:mi> </mml:mrow> </mml:msub> </mml:msqrt> <mml:mo>=</mml:mo> <mml:mn>5.36</mml:mn> <mml:mspace width="0.28em"/> <mml:mi>TeV</mml:mi> </mml:mrow> <mml:mo> </mml:mo> <mml:mrow> <mml:mmultiscripts> <mml:mi mathvariant="normal">O</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>16</mml:mn> </mml:mmultiscripts> <mml:mo>+</mml:mo> <mml:mmultiscripts> <mml:mi mathvariant="normal">O</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>16</mml:mn> </mml:mmultiscripts> </mml:mrow> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mmultiscripts> <mml:mi>Ne</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>20</mml:mn> </mml:mmultiscripts> <mml:mo>+</mml:mo> <mml:mmultiscripts> <mml:mi>Ne</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>20</mml:mn> </mml:mmultiscripts> </mml:mrow> </mml:math> collisions with the ATLAS detector

2025· article· en· W4417202233 on OpenAlexafffund

Bibliographic record

VenuePhysical review. C · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsSimon Fraser UniversityYork UniversityUniversity of British ColumbiaCarleton UniversityUniversity of TorontoUniversity of VictoriaMcGill UniversityUniversity of AlbertaUniversité de Montréal
FundersH2020 Marie Skłodowska-Curie ActionsInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Estatal de InvestigaciónAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaJapan Society for the Promotion of ScienceAustralian Research CouncilAgencia Nacional de Investigación y DesarrolloNextGenerationEUForskningsrådet om Hälsa, Arbetsliv och VälfärdEuropean Regional Development FundBritish Columbia Knowledge Development FundEuropean Research CouncilMax-Planck-GesellschaftNeubauer Family FoundationCentre National de la Recherche ScientifiqueCanada Foundation for InnovationMinisterstwo Edukacji i NaukiConselho Nacional de Desenvolvimento Científico e TecnológicoNarodowe Centrum NaukiFondo Nacional de Desarrollo Científico y TecnológicoKnut och Alice Wallenbergs StiftelseBundesministerium für Wissenschaft, Forschung und WirtschaftMinisterio de Ciencia, Tecnología e InnovaciónGeneralitat ValencianaGeneralitat de CatalunyaU.S. Department of EnergyCarl Tryggers Stiftelse för Vetenskaplig ForskningAustrian Science FundGrantová Agentura České RepublikyNational Science and Technology CouncilMinisterstvo Školství, Mládeže a TělovýchovyEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAgence Nationale de la RechercheNarodowa Agencja Wymiany AkademickiejEuropean Cooperation in Science and TechnologyMinistero dell'Università e della RicercaSpine Education and Research InstituteHelmholtz-GemeinschaftDanmarks GrundforskningsfondTürkiye Enerji, Nükleer ve Maden Araştırma KurumuAzərbaycan Milli Elmlər AkademiyasıGeneral Secretariat for Research and TechnologyCERNMinisterio de Ciencia, Innovación y UniversidadesNational Science FoundationIstituto Nazionale di Fisica NucleareUK Research and InnovationEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyH2020 European Research CouncilNorges ForskningsrådAlexander von Humboldt-StiftungTRIUMFNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftCentres de Recerca de CatalunyaCanarieNorth Dakota Game and Fish DepartmentMinisterio de Ciencia e InnovaciónHorizon 2020 Framework ProgrammeVetenskapsrådetNational Natural Science Foundation of ChinaMinistry of Science and Technology of the People's Republic of ChinaNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Culture, Sports, Science and Technology
KeywordsAzimuthTransverse planeAnisotropyCharged particleLarge Hadron ColliderFourier seriesHadronFourier analysisCollision

Abstract

fetched live from OpenAlex

This paper presents the first measurements of the azimuthal anisotropy coefficients <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"> <a:msub> <a:mi>v</a:mi> <a:mi>n</a:mi> </a:msub> </a:math> , which quantify the <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"> <b:mrow> <b:mi>n</b:mi> <b:mi>th</b:mi> </b:mrow> </b:math> -order Fourier modulation of charged-particle azimuthal distributions, for <c:math xmlns:c="http://www.w3.org/1998/Math/MathML"> <c:mrow> <c:mi>n</c:mi> <c:mo>=</c:mo> <c:mn>2</c:mn> <c:mo>−</c:mo> <c:mn>4</c:mn> </c:mrow> </c:math> in <d:math xmlns:d="http://www.w3.org/1998/Math/MathML"> <d:mrow> <d:msqrt> <d:msub> <d:mi>s</d:mi> <d:mrow> <d:mi>N</d:mi> <d:mi>N</d:mi> </d:mrow> </d:msub> </d:msqrt> <d:mo>=</d:mo> <d:mn>5.36</d:mn> <d:mspace width="0.28em"/> <d:mi>TeV</d:mi> <d:mspace width="0.28em"/> <d:mmultiscripts> <d:mi mathvariant="normal">O</d:mi> <d:mprescripts/> <d:none/> <d:mn>16</d:mn> </d:mmultiscripts> <d:mo>+</d:mo> <d:mmultiscripts> <d:mi mathvariant="normal">O</d:mi> <d:mprescripts/> <d:none/> <d:mn>16</d:mn> </d:mmultiscripts> </d:mrow> </d:math> and <i:math xmlns:i="http://www.w3.org/1998/Math/MathML"> <i:mrow> <i:mmultiscripts> <i:mi>Ne</i:mi> <i:mprescripts/> <i:none/> <i:mn>20</i:mn> </i:mmultiscripts> <i:mo>+</i:mo> <i:mmultiscripts> <i:mi>Ne</i:mi> <i:mprescripts/> <i:none/> <i:mn>20</i:mn> </i:mmultiscripts> </i:mrow> </i:math> collisions recorded with the ATLAS detector at the CERN Large Hadron Collider in 2025. The <j:math xmlns:j="http://www.w3.org/1998/Math/MathML"> <j:msub> <j:mi>v</j:mi> <j:mi>n</j:mi> </j:msub> </j:math> coefficients are measured as a function of transverse momentum ( <k:math xmlns:k="http://www.w3.org/1998/Math/MathML"> <k:msub> <k:mi>p</k:mi> <k:mtext>T</k:mtext> </k:msub> </k:math> ), collision centrality, and event multiplicity. They are extracted using two complementary methods: two-particle correlations with a template-fit subtraction of short-range nonflow contributions, and four-particle subevent cumulants, which intrinsically suppress nonflow effects and provide sensitivity to flow fluctuations. The results show a clear hierarchy <l:math xmlns:l="http://www.w3.org/1998/Math/MathML"> <l:mrow> <l:msub> <l:mi>v</l:mi> <l:mn>2</l:mn> </l:msub> <l:mo>&gt;</l:mo> <l:msub> <l:mi>v</l:mi> <l:mn>3</l:mn> </l:msub> <l:mo>&gt;</l:mo> <l:msub> <l:mi>v</l:mi> <l:mn>4</l:mn> </l:msub> </l:mrow> </l:math> and a nonmonotonic dependence on <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>p</m:mi> <m:mtext>T</m:mtext> </m:msub> </m:math> , reaching a maximum around <n:math xmlns:n="http://www.w3.org/1998/Math/MathML"> <n:mrow> <n:mn>2</n:mn> <n:mspace width="0.28em"/> <n:mi>GeV</n:mi> </n:mrow> </n:math> , consistent with trends observed in heavy-ion collisions. Detailed comparisons between the two collision systems reveal an enhanced <p:math xmlns:p="http://www.w3.org/1998/Math/MathML"> <p:msub> <p:mi>v</p:mi> <p:mn>2</p:mn> </p:msub> </p:math> in central <q:math xmlns:q="http://www.w3.org/1998/Math/MathML"> <q:mrow> <q:mmultiscripts> <q:mi>Ne</q:mi> <q:mprescripts/> <q:none/> <q:mn>20</q:mn> </q:mmultiscripts> <q:mo>+</q:mo> <q:mmultiscripts> <q:mi>Ne</q:mi> <q:mprescripts/> <q:none/> <q:mn>20</q:mn> </q:mmultiscripts> </q:mrow> </q:math> collisions, consistent with theory expectations based on the predicted prolate deformation of neon nuclei, in contrast to the slightly tetrahedral structure predicted for oxygen. The four-particle cumulant results highlight strong event-by-event fluctuations and provide the greatest sensitivity to nuclear shape effects. These measurements can place new constraints on the initial geometry and the hydrodynamic response in light-ion collisions, offering valuable input for models of nuclear structure.

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)0.013
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.826
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.010
Meta-epidemiology (narrow)0.0070.013
Meta-epidemiology (broad)0.0030.013
Bibliometrics0.0050.010
Science and technology studies0.0120.013
Scholarly communication0.0100.011
Open science0.0170.016
Research integrity0.0120.014
Insufficient payload (model declined to judge)0.3830.008

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 head0.022
GPT teacher head0.257
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venuePhysical review. CSame topicHigh-Energy Particle Collisions ResearchFrench-language works237,207