Forecasting cosmological constraints from the nonlinear halo density field with Zel'dovich-inspired transform
astro-ph.CO
Submitted: 2026-10-03
Updated: 2026-10-03
Comments: 18 pages, 12 figures
License: http://creativecommons.org/licenses/by/4.0/
The gist: The Zel'dovich-inspired (ZI) transform is a local nonlinear transform of the density field that can Gaussianize the late-time matter field and recover information from higher-order N-point
Abstract
The Zel'dovich-inspired (ZI) transform is a local nonlinear transform of the density field that can Gaussianize the late-time matter field and recover information from higher-order N-point correlation functions through its power spectrum, with the parameter η controlling the weighting of higher-order information. Using Fisher-matrix analyses of halo catalogs from the Quijote and Quijote-PNG simulations, we study the redshift-space monopole power spectrum of the ZI-transformed halo density field. The joint statistic P ZI,0, constructed from three representative transforms with η=1, 10, and + infinity, yields substantially tighter constraints than the conventional halo power spectrum P h,0 on standard cosmological parameters, the summed neutrino mass, and primordial non-Gaussianity amplitudes, while outperforming the marked power spectrum for many parameters. We further calibrate a scale-dependent noise correction for the ZI power spectrum, with an effective noise amplitude that depends on wavenumber, and find that the correction further tightens the constraints. In particular, the noise-corrected P ZI,0 improves the constraints on f NL equil, f NL ortho, M ν, and n s by factors of 5.6, 5.5, 5.2, and 5.8, respectively, relative to P h,0. These results demonstrate the potential of ZI power spectra as a complement to standard two-point statistics for extracting nonlinear cosmological information. Our forecasts may be conservative because the halo catalogs have substantially lower number densities than those expected from forthcoming galaxy surveys.
Sources
- Towards optimal and robust $f_{\rm NL}$ constraints with multi-tracer analyses
- The DESI Experiment Part I: Science,Targeting, and Survey Design
- Estimation of line-of-sight velocities of individual galaxies using neural networks I. Modelling redshift-space distortions at large scales
- Field-Level Inference from Galaxies: BAO Reconstruction
- SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering
- {\sc SimBIG}: Cosmological Constraints using Simulation-Based Inference of Galaxy Clustering with Marked Power Spectra
- The Marked Power Spectrum as a Practical Bispectrum Measure for Galaxy Redshift Surveys
- Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample
- Unveiling the cosmological information beyond linear scales: forecasts for sufficient statistics
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