Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

We train a neural network model to predict the full phase space evolution of cosmological N-body simulations. Its success implies that the neural network model is accurately approximating the Green’s function expansion that relates the initial conditions of the simulations to its outcome at later ti...

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Detalles Bibliográficos
Autores principales: Jamieson, Drew, Li, Yin, He, Siyu, Villaescusa-Navarro, Francisco, Ho, Shirley, de Oliveira, Renan Alves, Spergel, David N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Physical Sciences and Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121177/
https://www.ncbi.nlm.nih.gov/pubmed/37091548
http://dx.doi.org/10.1093/pnasnexus/pgac250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121177/
https://www.ncbi.nlm.nih.gov/pubmed/37091548
http://dx.doi.org/10.1093/pnasnexus/pgac250

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