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Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory

The linear matter power spectrum is an essential ingredient in all theoretical models for interpreting large-scale-structure observables. Although Boltzmann codes such as CLASS or CAMB are very efficient at computing the linear spectrum, the analysis of data usually requires 10 (4)-10 (6 )evaluation...

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Detalles Bibliográficos
Autores principales: Arico', Giovanni, Angulo, Raul, Zennaro, Matteo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445901/
https://www.ncbi.nlm.nih.gov/pubmed/37645183
http://dx.doi.org/10.12688/openreseurope.14310.2