Summary
The study investigates the effects of local features in the inflationary potential on preheating dynamics. It finds that small-scale features can enhance resonance and energy transfer, leading to a more efficient preheating process.
Highlights
- Local features in the inflationary potential can enhance preheating dynamics.
- Small-scale features can lead to a more efficient energy transfer between fields.
- The equation of state (EOS) parameter is affected by the height and position of the features.
- The presence of features can lead to a radiation-dominated universe.
- Gravitational waves (GWs) are produced during preheating and can be used to probe the early universe.
- The GW spectrum is affected by the features in the potential.
- The effective number of relativistic degrees of freedom (N_eff) is constrained by the GW production.
Key Insights
- The introduction of local features in the inflationary potential can significantly alter the preheating dynamics, leading to a more efficient energy transfer between fields and a faster transition to a radiation-dominated universe.
- The height and position of the features play a crucial role in determining the equation of state (EOS) parameter, with certain values leading to a radiation-like behavior.
- The production of gravitational waves (GWs) during preheating provides a unique probe of the early universe, allowing for the constraint of the effective number of relativistic degrees of freedom (N_eff).
- The GW spectrum is sensitive to the features in the potential, offering a potential tool for distinguishing between different inflationary models.
- The self-resonance in the inflaton field can drive the preheating process, even in the absence of interactions with other fields.
- The trilinear interactions can stabilize the asymptotic behavior of the EOS parameter, leading to a radiation-like behavior.
- The presence of features in the potential can lead to a more efficient preheating process, even in the absence of interactions with other fields.
Mindmap
Citation
Saha, P., & Urakawa, Y. (2024). Potential Surge Preheating: enhanced resonance from potential features (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2412.17359