Strangeness production at large rapidity in high-energy collisions
Bibliographic record
Abstract
The recent measurements by ALICE collaboration at LHC show that the strangeness production in high-energy and high-multiplicity collision is in agreement with the resonance gas model and this result is, to a large degree, independent on the collision settings. Indeed, it also applies to small systems, as proton–proton collisions, since it depends on hadron multiplicity. In fact, a universality in the strangeness hadronization emerges by considering a specific dynamical variable corresponding to the initial entropy density of the collision, taking into account the effective transverse size of the initial configuration in high multiplicity events. On this physical ground, we evaluate the strangeness production at large rapidity in high-energy collisions. The yields of strange hadrons in forward direction are depleted with respect to their values at mid-rapidity, although in high energy scatterings the difference starts to be clear at very large rapidity. The consequences for the solution of the muon puzzle are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".