Asymmetric reheating from a symmetric inflationary potential
Bibliographic record
Abstract
We explore a model of two-field inflation with a power-law potential in which two identical matter sectors decoupled from each other may reheat to different temperatures while preserving the symmetry of the Lagrangian. This scenario is motivated by mirror dark matter models in which the temperature of the mirror sector is constrained to be ${T}^{\ensuremath{'}}\ensuremath{\lesssim}0.5\text{ }\text{ }\mathrm{T}$ by big bang nucleosynthesis and the cosmic microwave background. For powers $p<2$, we find that the symmetric field trajectory $X=Y$ is a repeller solution, such that any randomly occurring asymmetry in the initial conditions is amplified by many orders of magnitude during inflation, especially in a given class of models with nonminimal kinetic terms. Isocurvature fluctuations are strongly suppressed in this model, but a $\mathcal{O}(0.03--0.07)$ tensor-to-scalar ratio could be observed in the near future. The range of potential parameters compatible with Planck constraints is shown to be much larger than in corresponding single-field models. This occurs because the curved field trajectory at horizon crossing leads to a lower spectral index.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".