Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2412.16268 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866909761710063616 |
|---|---|
| author | Liu, Ming He, Tong-Yu Chen, Bohai Han, Zhan-Wen Yang, Rong-Jia |
| author_facet | Liu, Ming He, Tong-Yu Chen, Bohai Han, Zhan-Wen Yang, Rong-Jia |
| contents | We explore a square-law k-inflation using the Hamilton-Jacobi approach. Focusing on scenarios where the Hubble parameter exhibits a power-law dependence on the k-field, our analysis encompasses the computations of crucial observables, such as the scalar power spectrum, the tensor-to-scalar ratio, and the scalar spectral index. We further constrain the model's parameters using Planck data and present a specific form of the potential. Our results demonstrate that the model aligns well with observational data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_16268 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Reconstructing square-law k-inflation from Planck data Liu, Ming He, Tong-Yu Chen, Bohai Han, Zhan-Wen Yang, Rong-Jia General Relativity and Quantum Cosmology High Energy Physics - Theory We explore a square-law k-inflation using the Hamilton-Jacobi approach. Focusing on scenarios where the Hubble parameter exhibits a power-law dependence on the k-field, our analysis encompasses the computations of crucial observables, such as the scalar power spectrum, the tensor-to-scalar ratio, and the scalar spectral index. We further constrain the model's parameters using Planck data and present a specific form of the potential. Our results demonstrate that the model aligns well with observational data. |
| title | Reconstructing square-law k-inflation from Planck data |
| topic | General Relativity and Quantum Cosmology High Energy Physics - Theory |
| url | https://arxiv.org/abs/2412.16268 |