Preprint typeset in JHEP style.- HYPER VERSION DAMTP-2001-97, EFI-01-47, McGill-01/23, hep-th/0111025 Brane-Antibrane Inflation in Orbifold and
Bibliographic record
Abstract
Abstract: We analyse the cosmological implications of brane-antibrane systems in string-theoretic orbifold and orientifold models. In a class of realistic string models, consistency conditions require branes and antibranes to be stuck at different fixed points, and so their mutual attraction generates a potential for the radius of the underlying torus. We find that this potential leads naturally to a period of cosmic inflation with the radion field as the inflaton. The slow-roll conditions are satisfied much more generically than the previously studied case with the branes free to move within the space. The appearance of tachyon fields at certain points in moduli space indicates the onset of phase transitions to different non-BPS brane systems, providing ways of ending inflation and reheating the corresponding observable brane universe. Besides the fact of being phenomenologically realistic and getting inflation more generically, this new scenario has several advantages over the case of toroidal compactifications, in relation to the ‘branegenesis ’ problem and the cosmological moduli problem. It also relaxes the assumption of frozen radius by promoting it into the inflaton field. As a successful inflation model it predicts an almost scale invariant spectrum of density perturbations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.461 | 0.113 |
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".