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Record W2121173135 · doi:10.1139/p01-143

Compound multiplicity in the collisions of 4.1 A GeV/<i>c</i> <sup>22</sup>Ne nuclei with nuclear emulsion

2002· article· en· W2121173135 on OpenAlexvenueno aff
Z. Abou-Moussa

Bibliographic record

VenueCanadian Journal of Physics · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersJoint Institute for Nuclear ResearchCairo University
KeywordsPhysicsMultiplicity (mathematics)Nuclear physicsProjectileEmulsionNuclear emulsionMass numberAtomic physicsNeutron

Abstract

fetched live from OpenAlex

This work displays a study of the compound multiplicity characteristics of 4.1 A GeV/c 22 Ne–emulsion interactions, where the number of shower and grey particles taken together is termed as compound multiplicity, N c . The present data are compared with the corresponding ones obtained for other projectiles at nearly the same momentum per nucleon. It is observed that while the average compound multiplicity depends on the mass number of the projectile, A p , the value of the ratio &lt;N c &gt;/D(N c ) seems to be independent of A p . The impact parameter is found to affect the shape of the compound multiplicity distribution. A positive linear dependence of the compound multiplicity on both the black and heavy charged particles is also noted. Finally, the results indicate that the value of &lt;N c &gt; depends also on the target mass number. PACS No.: 25.70

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.238
Teacher spread0.218 · 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 designSimulation or modeling
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

Citations11
Published2002
Admission routes1
Has abstractyes

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