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Violation of NCQ scaling in hadron elliptic flow in Au+Au collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"> <mml:msqrt> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>s</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>N</mml:mi> <mml:mi>N</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:msqrt> <mml:mo linebreak="goodbreak" linebreakstyle="after">=</mml:mo> <mml:mn>3.0</mml:mn> <mml:mo linebreak="goodbreak" linebreakstyle="after">−</mml:mo> <mml:mn>7.7</mml:mn> <mml:mspace width="0.2em"/> <mml:mrow> <mml:mi mathvariant="normal">GeV</mml:mi> </mml:mrow> </mml:math>

2025· article· lv· W4412603233 on OpenAlexfundno aff
Xun Zhu, Gao-Chan Yong

Bibliographic record

VenuePhysics Letters B · 2025
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaCanadian Anesthesiologists' Society
KeywordsPhysicsScalingHadronParticle physicsNuclear physicsMathematical physicsGeometryMathematics

Abstract

fetched live from OpenAlex

We investigate the number-of-constituent-quark (NCQ) scaling of elliptic flow for various hadrons in non-central Au+Au collisions at s N N = 3.0 – 7.7 GeV using the AMPT model with string melting (SM) and pure hadron cascade (HC) modes. For the SM case, NCQ scaling is absent at s N N = 3.0 GeV but is largely restored by s N N = 3.9 GeV . Although quark coalescence occurs at s N N = 3.0 GeV , the lack of NCQ scaling is attributed to the insufficient development of quark elliptic flow and the limited production of strange quarks and antiquarks. This finding suggests that NCQ scaling could not be considered a definitive signature of quark-gluon plasma (QGP) formation in the RHIC fixed-target energy region. For the HC case, as expected, no NCQ scaling is observed. However, a mass ordering in the elliptic flow emerges at s N N = 4.5 GeV , indicating that full thermalization may not be a prerequisite for mass ordering.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0040.007
Meta-epidemiology (broad)0.0020.006
Bibliometrics0.0030.007
Science and technology studies0.0050.005
Scholarly communication0.0050.006
Open science0.0080.008
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.4670.005

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 head0.013
GPT teacher head0.244
Teacher spread0.230 · 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 routes1
Has abstractyes

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Same venuePhysics Letters BSame topicHigh-Energy Particle Collisions ResearchFrench-language works237,207