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Record W4410446266 · doi:10.1142/s0218301325500314

Strangeness production at large rapidity in high-energy collisions

2025· article· en· W4410446266 on OpenAlexaff
P. Castorina, Helmut Satz, A. Trabelsi

Bibliographic record

VenueInternational Journal of Modern Physics E · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsRapidityStrangenessStrangeness productionProduction (economics)PhysicsNuclear physicsParticle physicsEconomicsMicroeconomicsHadron

Abstract

fetched live from OpenAlex

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.309
Teacher spread0.293 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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