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Record W4406097811 · doi:10.1103/physrevc.111.014901

Comparisons and predictions for collisions of deformed <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mmultiscripts> <mml:mi mathvariant="normal">U</mml:mi> <mml:mprescripts/> <mml:none/> <mml:mn>238</mml:mn> </mml:mmultiscripts> </mml:math> nuclei at <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>193</mml:mn> </mml:mrow> </mml:math> GeV

2025· article· lv· W4406097811 on OpenAlexafffund
Natalie Fortier, Sangyong Jeon, Charles Gale

Bibliographic record

VenuePhysical review. C · 2025
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsPhysicsAlgorithmComputer science

Abstract

fetched live from OpenAlex

We present comparisons to experimental data along with predictions of observables for $\text{U}+\text{U}$ and $\text{Au}+\text{Au}$ collisions at 193 and 200 GeV respectively, using a multistage theoretical and computational framework consisting of boost-invariant IP-Glasma initial state, music hydrodynamics, and a hadronic transport cascade generated by is3d and smash. Two different Woods-Saxon parametrizations were used for both systems [W. Ryssens et al., Phys. Rev. Lett. 130, 212302 (2023); H. De Vries et al., At. Data Nucl. Data Tables 36, 495 (1987)], allowing for comparisons within our model. Our results show great agreement with existing anisotropic flow measurements from the BNL Relativistic Heavy Ion Collider [L. Adamczyk et al., Phys. Rev. Lett. 115, 222301 (2015); J. Adam et al., Phys. Rev. Lett. 122, 172301 (2019)]. We provide predictions for differential flow observables as well as multiparticle correlations and transverse-momentum-flow correlations. When possible, we compare our predictions to results from $\text{Au}+\text{Au}$ collisions at 200 GeV to properly outline the effects of deformation in the initial state on final-state observables.

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)0.006
metaresearch head score (Gemma)0.005
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 score0.735
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0040.006
Meta-epidemiology (broad)0.0020.007
Bibliometrics0.0020.005
Science and technology studies0.0070.006
Scholarly communication0.0050.005
Open science0.0080.009
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.1410.007

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 head0.025
GPT teacher head0.278
Teacher spread0.253 · 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

Citations11
Published2025
Admission routes2
Has abstractyes

Explore more

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