Equation of state of stellar nuclear matter and the effective nucleon mass
Bibliographic record
Abstract
Using the generalized Skyrme force SkSP1, we calculate the equation of state (EOS) of nuclear matter appropriate to stellar collapse; we consider the full density range corresponding to the passage from the droplet phase (isolated nuclei) through the bubble phase up to homogeneous nuclear matter. This force, having a term with simultaneous momentum and density dependence, is able to give a good fit to nuclear masses in Hartree-Fock-BCS calculations while having the nuclear-matter value of the effective nucleon mass. We find that in the two inhomogeneous phases the new EOS resembles closely that given by a conventional Skyrme force fitted to nuclear masses, while in the homogeneous phase it rapidly crosses over with increasing density to approach the EOS given by a conventional Skyrme force with the correct nuclear-matter value of the effective mass. Thus it is possible with a Skyrme-type force to obtain an EOS with the correct effective-mass properties at both extremities of the density range.
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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 | 0.000 | 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 | 0.001 |
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".