Rotating Skyrmion stars: General features
Bibliographic record
Abstract
In the rst part of this work, we derived a new equation of state (EOS) of dense matter representing a uid of Skyrmions coupled to a dilaton eld (associated with the glueball of Quantum ChromoDynamics-QCD) and a vector meson eld (coupled to the baryon number).The Skyrmions are con ned by the dilaton potential with its negative contribution to the pressure acting to bind the system (the dilaton is introduced as a mean of curing the missing attraction problem known to be inherent to the Skyrme model).Zero-temperature non-rotating compact-star models in hydrostatic equilibrium were constructed; these are mostly uid stars (the Skyrmion uid) thus naming them Skyrmion Stars.In the present paper we generalize our previous calculations of the static models to the case of rotation.In particular, we study how the Skyrmion uid responds to rotation and to what extent our previous calculations are modi ed.We t h us constructed equilibrium sequences of rotating Skyrmion stars in general relativity using the computer code RNS developed by Stergioulas.We calculated their masses and radii to be0:4 M= M 3:45, and 13:0 km R 23:0 km, respectively (R being the circumferential radius of the star).On average, more than 95% of the mass in the stellar interior has density above the nuclear saturation density, and constitutes the dense Skyrmion uid interior.The period of the maximally rotating Skyrmion stars is calculated to be 0:8 m s P 2:0 ms.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".