Multifractality and correlations study in the framework of R/S analysis for ring-like and jet-like events at SPS energies
Bibliographic record
Abstract
A detailed investigation into the ring-like and jet-like substructures involved in the multiparticle production dynamics has been conducted in light of the rescaled range (R/S) analysis technique. For this investigation, we considered datasets from 32 S– Ag/ Br interactions at 200 AGeV and 16 O– Ag/ Br interactions at 60 AGeV. It intends to find deterministic properties like scale-freeness, multifractality, and correlation among the produced particles by using the concept of Hurst exponent ( H) from the viewpoint of the R/S analysis. In addition to the experimental datasets, comprehensive comparisons were conducted between Monte Carlo simulated datasets and the actual measurements. The analysis yielded intriguing findings regarding the scale-freeness and multifractality properties of the multiparticle production process observed in 32 S– Ag/ Br interactions at 200 AGeV and 16 O– Ag/ Br interactions at 60 AGeV. Furthermore, the study revealed multifractal properties and correlations among the ring-like and jet-like events. Our findings demonstrate that the R/S analysis proposed in this study is also a superior methodology for examining the various properties of multiparticle production dynamics.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".