Capturing primordial non-Gaussian signatures in the late Universe by multiscale extrema of the cosmic log-density field

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 quijote and quijote-png simulations at $z=0$. 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 ${n}_{s}$ 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 ${{f}_{\mathrm{NL}}^{\text{local}},{f}_{\mathrm{NL}}^{\text{equil}}}$ over the power spectrum-bispectrum combination, and provides a 1.39-fold improvement in the constraint on ${f}_{\mathrm{NL}}^{\text{ortho}}$; and (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.

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Publication Details

Journal
Physical review. D/Physical review. D.
Published
2025-02-05
DOI
https://doi.org/10.1103/physrevd.111.l041302
Citations
6
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
6.93

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article

Capturing primordial non-Gaussian signatures in the late Universe by multiscale extrema of the cosmic log-density field

Yun Wang, Ping He
6 citations
Physical review. D/Physical review. D.
Cosmology and Gravitation Theories
6.93
article

Capturing primordial non-Gaussian signatures in the late Universe by multiscale extrema of the cosmic log-density field

Yun Wang, Ping He
article en
6 citations

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 quijote and quijote-png simulations at $z=0$. 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 ${n}_{s}$ 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 ${{f}_{\mathrm{NL}}^{\text{local}},{f}_{\mathrm{NL}}^{\text{equil}}}$ over the power spectrum-bispectrum combination, and provides a 1.39-fold improvement in the constraint on ${f}_{\mathrm{NL}}^{\text{ortho}}$; and (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.

Physical review. D/Physical review. D.Vol. 111(4)
Jilin University (CN), Peking University (CN), Jilin Medical University (CN)
Natural Science Foundation of Jilin Province, National Natural Science Foundation of China, China Postdoctoral Science Foundation
Climate action
Openalex Percentile: Top 4%
Cosmology and Gravitation Theories
6.93
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Capturing primordial non-Gaussian signatures in the late Universe by multiscale extrema of the cosmic log-density field — Yun Wang, Ping He · Physical review. D/Physical review. D. (2025) | TGRS Research Map | TGRS