PIRSA:26060039 Conference Cosmology

DOI10.48660/26060039

Conference/School: Advancing Field-level and Simulation-based Inference for Cosmology

Sinigaglia, F. (2026). Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS. Perimeter Institute. https://pirsa.org/26060039

Sinigaglia, Francesco. Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS. Perimeter Institute, Jun. 12, 2026, https://pirsa.org/26060039 

@misc{ pirsa_PIRSA:26060039,
  doi = {10.48660/26060039},
  url = {https://pirsa.org/26060039},
  author = {Sinigaglia, Francesco},
  keywords = {Cosmology},
  language = {en},
  title = {Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS},
  publisher = {Perimeter Institute},
  year = {2026},
  month = {jun},
  note = {PIRSA:26060039 see, \url{https://pirsa.org}}
}

Abstract

We perform for the first time full simulation-based inference on the Lyman-$\alpha$ forest 1D power spectrum. In particular, we consider the prediction of the Lyman-$\alpha$ forest $P_{\rm 1D}(k)$ at $2.0

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