Bibliographic record
Abstract
The origin of Quark Gluon Plasma-like (QGP-like) phenomena within small collision systems has been a puzzle for researchers for over a decade. Throughout these years of investigation, the presence of collective effects has been confirmed. Moreover, numerous theoretical approaches have been attempted to describe these phenomena. Nonetheless, it has been determined that the phenomena cannot be adequately explained by simple mechanisms including either the initial or final stages alone. Considering the complexity of the QGP-like phenomena in a small collision system, the best way to investigate the origin of the collectivity, or maybe the only possible way to pin down the origin of the collectivity, is to do the analysis with multi-observable analysis. In this thesis, the full Run 2 data sample with the ALICE detector at the LHC is used, providing the most precise measurements. Multiple observables are measured in pp, p--Pb, and Pb--Pb collisions. The measured observables include multiple particle correlations, cumulants, flow coefficients, symmetric cumulants, and correlations between flow and mean transverse momentum. Various methods for suppressing short-range correlations have been applied. The measurements probe various mechanisms within the collisions. The initial stage of the collision is examined using flow coefficients $v_n$ and nonlinear flow coefficients $v_{4,22}$ and $\chi_{4,22}$. Moreover, the event-by-event properties of the initial stage are assessed through measurements involving NSC(3,2), which address the initial eccentricity correlations. The initial size and shape correlation is investigated through the $\rho(v_2^2,[\pt])$. The flow coefficients, the nonlinear flow $v_{4,22}$, and the NSC(4,2) are also influenced by the system's evolution. The $\rho_{4,22}$ addresses the event plane correlation. Observables such as $v_n\{2\}$ and $\chi_{4,22}$ have shown sensitivity to variations in the $|\Delta\eta|$ separation. Conversely, other observables like $c_2\{4\}$, $v_{4,22}$, and $\rho(v_2^2,[p_\mathrm{T}])$ are less sensitivity to non-flow contamination. The measurements impose constraints on the model and shed light on the system's origins, aiding in the building of a comprehensive model that describes the collective phenomenon in both large and small collision systems.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".