The initial State of heavy ion collisions in the IP-glasma framework
Bibliographic record
Abstract
First implemented by Schenke et al [1, 2], IP-Glasma is a QCD based initial state model for Heavy Ion Collisions that is able to reproduce a wide range of observables, both on average and in event-by-event distributions, when used to initialize hydrodynamic simulations. The model incorporates small-x gluon saturation via the Impact Parameter Dependent Saturation Model (IPSAT) [3] and introduces sub-nucleonic color charge fluctuations by stochastically sampling the color charge density for each nucleon, before ultimately evolving the gluon field configuration via a classical Yang-Mills evolution. This thesis is the debut of a second formulation of IP-Glasma, the results of which will be presented throughout this work. The objective is to reproduce the results of the highly successful IP-Glasma model and to extend them to study new experimental data in order to further constrain the transport properties of theQuark Gluon Plasma. Predictions and postdictions for Run 2 at the LHC, which is currently underway, will be presented and discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".