Extracting high-order cosmological information in galaxy surveys with power spectra

Abstract

The reconstruction method was proposed more than a decade ago to boost the signal of baryonic acoustic oscillations measured in galaxy redshift surveys, which is one of key probes for dark energy. After moving the observed overdensities in galaxy surveys back to their initial position, the reconstructed density field is closer to a linear Gaussian field, with higher-order information moved back into the power spectrum. We find that by jointly analysing power spectra measured from the pre- and post-reconstructed galaxy samples, higher-order information beyond the $2$-point power spectrum can be efficiently extracted, which generally yields an information gain upon the analysis using the pre- or post-reconstructed galaxy sample alone. This opens a window to easily use higher-order information when constraining cosmological models.

arXiv comment38 pages including 4 figures and 1 table, with a Supplement Information document attached; Version accepted to Communications Physics

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Cited by in corpus (4)

• DESI 2024 V: Full-Shape Galaxy Clustering from Galaxies and Quasars
• A multitracer analysis for the eBOSS galaxy sample based on the effective field theory of large-scale structure
• Neural Network Reconstruction of Non-Gaussian Initial Conditions from Dark Matter Halos
• Modelling the covariance matrix for the power spectra before and after the BAO reconstruction