LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Machine Learning Cosmic Backreaction and Its Effects on Observations.

Photo by cokdewisnu from unsplash

Symbolic expressions for cosmic backreaction and mean redshift drift in a range of two-region models in terms of average quantities are presented. The demonstration that these expressions can be obtained… Click to show full abstract

Symbolic expressions for cosmic backreaction and mean redshift drift in a range of two-region models in terms of average quantities are presented. The demonstration that these expressions can be obtained constitutes the opening of a new avenue towards understanding the effects of cosmic backreaction in our universe: With a symbolic expression for the redshift drift at hand, the redshift drift can be used to constrain cosmological parameters including the large-scale expansion rate and backreaction. In addition, by introducing symbolic expressions for cosmic backreaction, this quantity can be constrained with observations such as redshift-distance measures.

Keywords: learning cosmic; backreaction; machine learning; cosmic backreaction; redshift drift; backreaction effects

Journal Title: Physical review letters
Year Published: 2023

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.