Literature DB >> 32934424

Predicting the sufficient-statistics power spectrum for galaxy surveys: a recipe for P A*(k).

Andrew Repp1, István Szapudi1.   

Abstract

Future galaxy surveys hope to realize significantly tighter constraints on various cosmological parameters. The higher number densities achieved by these surveys will allow them to probe the smaller scales affected by non-linear clustering. However, in these regimes, the standard power spectrum can extract only a portion of such surveys' cosmological information. In contrast, the alternate statistic A* has the potential to double these surveys' information return, provided one can predict the A* power spectrum for a given cosmology. Thus, in this work we provide a prescription for this power spectrum P A* (k), finding that the prescription is typically accurate to about 5 per cent for near-concordance cosmologies. This prescription will thus allow us to multiply the information gained from surveys such as Euclid and WFIRST.

Keywords:  cosmological parameters; cosmology: miscellaneous; cosmology: theory

Year:  2019        PMID: 32934424      PMCID: PMC7489468          DOI: 10.1093/mnras/sty3434

Source DB:  PubMed          Journal:  Mon Not R Astron Soc        ISSN: 0035-8711            Impact factor:   5.287


  1 in total

1.  Simulations of the formation, evolution and clustering of galaxies and quasars.

Authors:  Volker Springel; Simon D M White; Adrian Jenkins; Carlos S Frenk; Naoki Yoshida; Liang Gao; Julio Navarro; Robert Thacker; Darren Croton; John Helly; John A Peacock; Shaun Cole; Peter Thomas; Hugh Couchman; August Evrard; Jörg Colberg; Frazer Pearce
Journal:  Nature       Date:  2005-06-02       Impact factor: 49.962

  1 in total

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