Brane-antibrane systems and the thermal life of neutral black holes
Bibliographic record
Abstract
A brane-antibrane model for the entropy of neutral black branes is developed, following on from the work of Danielsson, Guijosa, and Kruczenski [J. High Energy Phys. 09, 011 (2001); Rev. Mex. Fis. 49S2, 61 (2003)]. The model involves equal numbers of $\mathrm{D}p$-branes and anti-$\mathrm{D}p$-branes, and arbitrary angular momenta, and covers the cases $p=0,1,2,3,4.$ The thermodynamic entropy is reproduced by the strongly coupled field theory, up to a power of 2. The strong-coupling physics of the $p=0$ case is further developed numerically, using techniques of Kabat and co-workers [Nucl. Phys. B571, 419 (2000); Phys. Rev. Lett. 86, 1426 (2001)], in the context of a toy model containing the tachyon and the bosonic degrees of freedom of the D0-brane and anti-D0-brane quantum mechanics. Preliminary numerical results show that strong-coupling finite-temperature stabilization of the tachyon is possible, in this context.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| 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".