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Record W2161543131 · doi:10.1139/p2012-048

Energy dependence for relativistic hadron emission from <sup>32</sup>S nuclear collisions

2012· article· en· W2161543131 on OpenAlexvenueno aff
A. Abdelsalam, B. M. Badawy, M. E. Hafiz

Bibliographic record

VenueCanadian Journal of Physics · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersCERN
KeywordsPhysicsHadronNuclear physicsMultiplicity (mathematics)ProjectileParticle physicsNucleonQuantum mechanics

Abstract

fetched live from OpenAlex

In this experiment, 32S interaction with emulsion nuclei is examined at 3.7A and 200A GeV. Backward relativistic hadron production seems to be an exact decay system, depending on the target size. For emulsion nuclei, the decay constant of this system nearly equals 1.3. Independent of the projectile size and energy, the backward relativistic hadrons are produced with probability values of ∼20%–30%. For projectile nuclei with mass numbers greater than or equal to 6 and at any incident energy, the average multiplicity of these backward hadrons tends to a saturation value of ∼0.4. Regarding the multiplicity range of forward relativistic hadrons, reaching 60 hadrons per event at 3.7A GeV and extending to ∼400 hadrons per event at 200A GeV, energy plays a fundamental role in forward relativistic hadron production. The results strongly support the assumption that relativistic hadrons are created as a result of energy from participant nucleons.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.023
GPT teacher head0.264
Teacher spread0.241 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations8
Published2012
Admission routes1
Has abstractyes

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