Direct virtual photon production in Au+Au collision at 27 and 54.4 GeV
Bibliographic record
Abstract
As electromagnetic probes, photons have the advantage of escaping unimpeded from their emission source, allowing them to carry valuable information about the properties and dynamics of the hot quantum chromodynamics (QCD) medium created in heavy-ion collisions. Particularly, the transverse momentum distribution of direct virtual photons emitted from the hot QCD medium exhibits sensitivity to the system temperature. Direction photons from thermal radiation in the low transverse momentum region are expected to be a quark-gluon plasma (QGP) thermometer. However, the photon from hadronic decays make the extraction of the thermal radiation contribution very challenging. The STAR experiment has recorded large datasets of Au+Au collisions in the Beam Energy Scan Phase-II (BES-II) program, spanning center-of-mass energies of √ s NN = 3 - 54.4 GeV. In these proceedings, we present the latest direct virtual photon measurement in Au+Au collisions at √ s NN = 27 and 54.4 GeV, including p T differential invariant yields and total yields in different centrality bin. The total yields increase rapidly with increasing dN ch / d η. Notably, it scales with ( dN ch / d η) α , where α = 1.46 ± 0.07.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".