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
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".