Augmenting astrophysical scaling relations with machine learning: Application to reducing the Sunyaev–Zeldovich flux–mass scatter

Complex astrophysical systems often exhibit low-scatter relations between observable properties (e.g., luminosity, velocity dispersion, oscillation period). These scaling relations illuminate the underlying physics, and can provide observational tools for estimating masses and distances. Machine lea...

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Detalles Bibliográficos
Autores principales: Wadekar, Digvijay, Thiele, Leander, Villaescusa-Navarro, Francisco, Hill, J. Colin, Cranmer, Miles, Spergel, David N., Battaglia, Nicholas, Anglés-Alcázar, Daniel, Hernquist, Lars, Ho, Shirley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Physical Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041100/
https://www.ncbi.nlm.nih.gov/pubmed/36930602
http://dx.doi.org/10.1073/pnas.2202074120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10041100/
https://www.ncbi.nlm.nih.gov/pubmed/36930602
http://dx.doi.org/10.1073/pnas.2202074120

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