Improving precision and accuracy in cosmology with model-independent spectrum and bispectrum
Luca Amendola, Marco Marinucci, Massimo Pietroni, Miguel Quartin

TL;DR
This paper introduces a model-independent method called FreePower for analyzing large-scale structure data, demonstrating how including bispectrum and symmetry-based kernels significantly improves precision in measuring cosmological parameters with Euclid data.
Contribution
The paper shows that incorporating bispectrum and symmetry-based kernels enhances the accuracy and precision of cosmological measurements in a model-independent framework.
Findings
Improved precision in measuring H(z), D(z), and f(z) with Euclid survey.
Perturbation theory kernels can be constrained at 10-20% level.
Spectrum and bispectrum combination effectively constrains perturbation parameters.
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-deSitter approximation). The main result is that with the Euclid survey one can precisely measure the Hubble function, distance and (-independent) growth…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
