Capturing primordial non-Gaussian signatures in the late Universe by multi-scale extrema of the cosmic log-density field
arXiv:2408.13876 · doi:10.1103/PhysRevD.111.L041302
Abstract
We construct two new summary statistics, the scale-dependent peak height function (scale-PKHF) and the scale-dependent valley depth function (scale-VLYDF) of matter density, and forecast their constraining power on primordial non-Gaussianity and cosmological parameters based on \textsc{Quijote} and \textsc{Quijote-PNG} simulations at . With the Fisher analysis, we demonstrate that these statistics outperform the power spectrum and bispectrum. Key findings include: (1) the constraint on the scalar spectral index obtained from the scale-VLYDF/scale-PKHF is 1.59/1.10 times tighter than that from the joint analysis of power spectrum and bispectrum; (2) the combination of the two statistics yields a slight improvement in constraining over the power spectrum-bispectrum combination, and provides a 1.39-fold improvement in the constraint on ; (3) after incorporating the power spectrum with our new statistics, parameter constraints surpass those from power spectrum-bispectrum combination by factors up to 2.93. This work offers an effective scheme for extracting primordial signals from the late Universe, paving the way for further breakthroughs in precision cosmology.
8 pages, 5 figures, 1 table. Accepted for Publication in PRD
References in corpus (18)
- Why your model parameter confidences might be too optimistic -- unbiased estimation of the inverse covariance matrix
- The imprints of primordial non-gaussianities on large-scale structure: scale dependent bias and abundance of virialized objects
- Transients from Initial Conditions in Cosmological Simulations
- On the assumption of Gaussianity for cosmological two-point statistics and parameter dependent covariance matrices
- Discreteness Effects in Lambda Cold Dark Matter Simulations: A Wavelet-Statistical View
- Cosmological Information in the Marked Power Spectrum of the Galaxy Field
- Quijote-PNG: Simulations of primordial non-Gaussianity and the information content of the matter field power spectrum and bispectrum
- Hunting high and low: Disentangling primordial and late-time non-Gaussianity with cosmic densities in spheres
- Cosmology with cosmic web environments I. Real-space power spectra
- Comparisons between fast algorithms for the continuous wavelet transform and applications in cosmology: the 1D case
- Continuous wavelet analysis of matter clustering using the Gaussian-derived wavelet
- Improving constraints on primordial non-Gaussianity using neural network based reconstruction
- Cosmology with Persistent Homology: a Fisher Forecast
- Robust Neural Network-Enhanced Estimation of Local Primordial Non-Gaussianity
- The continuous wavelet derived by smoothing function and its application in cosmology
- Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra
- The Effective Field Theory and Perturbative Analysis for Log-Density Fields
- Turbulence revealed by wavelet transform: power spectrum and intermittency for the velocity field of the cosmic baryonic fluid
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- Beyond the two-point correlation: constraining primordial non-gaussianity with density perturbation moments