Machine learning cosmic backreaction and its effects on observations

Autor:	Koksbang, S. M.
Rok vydání:	2023
Předmět:	Astrophysics - Cosmology and Nongalactic Astrophysics
Zdroj:	Phys. Rev. Lett. 130, 201003 (2023)
Druh dokumentu:	Working Paper
DOI:	10.1103/PhysRevLett.130.201003
Popis:	Symbolic expressions for cosmic backreaction and mean redshift drift in a range of 2-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. Comment: 6 pages, 3 captioned figures. Accepted for publication in PRL. v2: Updated reference list. No other changes
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2305.01224 Zobrazit plný text záznamu View this record from Arxiv