Glasma phase of relativistic heavy-ion collisions
Bibliographic record
Abstract
Within the Color Glass Condensate approach to relativistic heavy-ion collisions, a phase of matter from the earliest stage of the collision is a glasma formed by highly populated gluon fields that can be approximately treated as classical. Applying the method of proper time expansion, which is designed to study this earliest stage, analytic formulas of various glasma characteristics are derived. We calculate components of the glasma energy–momentum tensor which include: the energy density, longitudinal and transverse pressure, and the Poynting vector. This vector allows one to obtain the collective flow of the glasma and its angular momentum. The temporal evolution of all these quantities is studied and estimates of their numerical values are given. Using the appropriate Fokker–Planck equation, we also derive glasma transport characteristics, in particular the momentum broadening coefficient q ˆ . Analysing the temporal evolution of q ˆ , we conclude that the short lived glasma phase plays an important role in the observed jet quenching.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".