Stochastic Gravitational Wave Backgrounds from Low-Scale Inflation
Bibliographic record
Abstract
While Big Bang cosmology successfully explains much of the history of our Universe, there are certain features it does not explain, for example the spatial flatness and uniformity of our Universe. One widely studied explanation for these features is cosmological inflation. The objective of this thesis was to simulate the gravitational wave spectra generated by inflaton field configurations oscillating after inflation for E-Model, T-Model, and General Renormalizable Inflection Point Inflation. This thesis shows that these gravitational wave spectra provide access to some inflation models beyond the reach of any planned Cosmic Microwave Background (CMB) experiments, such as LiteBIRD, Simons Observatory, and CMB-S4. Specifically, while these experiments will be able to resolve the primordial power spectrum tensor-to-scalar ratio (r) down to 10^(-3), we show that gravitational wave background measurements have the potential to probe certain inflation models for r values down to 10^(-14). Importantly, all the gravitational wave spectra lie in the MHz-GHz frequency range, motivating development of gravitational wave detectors in this 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".