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Record W1970818488 · doi:10.1142/s0218301313500882

ENTROPY SCALING IN ION–ION COLLISIONS AT AGS AND SPS ENERGIES

2013· article· en· W1970818488 on OpenAlexfundno aff
S. Ahmad, Anuj Chandra, Maria Zafar, M. Irfan, Arshad Ahmad

Bibliographic record

VenueInternational Journal of Modern Physics E · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersMcMaster University
KeywordsPseudorapidityScalingProjectilePhysicsRapidityBinMonte Carlo methodPhase spaceIonNuclear physicsAtomic physicsEntropy (arrow of time)Statistical physicsCharged particleHadronThermodynamicsStatisticsQuantum mechanicsMathematics

Abstract

fetched live from OpenAlex

Analysis of the experimental data on nucleus–nucleus collisions at AGS and SPS energies reveals that entropy produced in a limited and full phase-space increases with increasing beam energy and mass of the colliding nuclei. The analysis of the data and corresponding mixed event samples, carried out by considering the particles emitted in the forward and backward hemispheres separately, indicates the presence of clusterization and correlations amongst the produced particles. It is also observed that the total entropy produced in a limited pseudorapidity bin, when normalized to the maximum rapidity in the center of mass frame, is essentially independent of projectile and target masses as well as beam energy, indicating thereby presence of a kind of entropy scaling. The observed scaling is also nicely reproduced by the Monte Carlo models, AMPT and FRITIOF. Furthermore, results of the analysis of the mixed events reveal that the observed entropy scaling is a distinguishable feature of the data rather than a manifestation of the statistics.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.290
Teacher spread0.274 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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Same venueInternational Journal of Modern Physics ESame topicHigh-Energy Particle Collisions ResearchFrench-language works237,207