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Verfasst von:Amendola, Luca [VerfasserIn]   i
 Marinucci, Marco [VerfasserIn]   i
 Pietroni, Massimo [VerfasserIn]   i
 Quartin, Miguel [VerfasserIn]   i
Titel:Improving precision and accuracy in cosmology with model-independent spectrum and bispectrum
Verf.angabe:Luca Amendola, Marco Marinucci, Massimo Pietroni, Miguel Quartin
E-Jahr:2024
Jahr:2 January 2024
Umfang:30 S.
Fussnoten:Gesehen am 28.11.2024
Titel Quelle:Enthalten in: Journal of cosmology and astroparticle physics
Ort Quelle:London : IOP, 2003
Jahr Quelle:2024
Band/Heft Quelle:(2024), 1 vom: Jan., Artikel-ID 001, Seite 1-30
ISSN Quelle:1475-7516
Abstract:A new and promising avenue was recently developed for analyzing large-scale structure data with a model-independent approach, in which the linear power spectrum shape is parametrized with a large number of freely varying wavebands rather than by assuming specific cosmological models. We call this method FreePower. Here we show, using a Fisher matrix approach, that precision of this method for the case of the one-loop power spectrum is greatly improved with the inclusion of the tree-level bispectrum. We also show that accuracy can be similarly improved by employing perturbation theory kernels whose structure is entirely determined by symmetries instead of evolution equations valid in particular models (like in the usual Einstein-de Sitter approximation). The main result is that with the Euclid survey one can precisely measure the Hubble function, distance and (k-independent) growth rate f(z) in seven redshift bins in the range z ∈ [0.6, 2.0]. The typical errors for the lower zbins are around 1% (for H), 0.7-1% (for D), and 2-3% (for f). The use of general perturbation theory allows us, for the first time, to study constraints on the nonlinear kernels of cosmological perturbations, that is, beyond the linear growth factor, showing that they can be probed at the 10-20% level. We find that the combination of spectrum and bispectrum is particularly effective in constraining the perturbation parameters, both at linear and quadratic order.
DOI:doi:10.1088/1475-7516/2024/01/001
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1088/1475-7516/2024/01/001
 Volltext: https://iopscience.iop.org/article/10.1088/1475-7516/2024/01/001
 DOI: https://doi.org/10.1088/1475-7516/2024/01/001
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1909869937
Verknüpfungen:→ Zeitschrift

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