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Cosmological Information in the Marked Power Spectrum of the Galaxy Field

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arxiv 2206.01709 v1 pith:5RRUDLLZ submitted 2022-06-03 astro-ph.CO

classification astro-ph.CO
keywords powermarkedgalaxyspectradensityfieldspectrumconstraints
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Marked power spectra are two-point statistics of a marked field obtained by weighting each location with a function that depends on the local density around that point. We consider marked power spectra of the galaxy field in redshift space that up-weight low density regions, and perform a Fisher matrix analysis to assess the information content of this type of statistics using the Molino mock catalogs built upon the Quijote simulations. We identify four different ways to up-weight the galaxy field, and compare the Fisher information contained in their marked power spectra to the one of the standard galaxy power spectrum, when considering monopole and quadrupole of each statistic. Our results show that each of the four marked power spectra can tighten the standard power spectrum constraints on the cosmological parameters $\Omega_{\rm m}$, $\Omega_{\rm b}$, $h$, $n_s$, $M_\nu$ by $15-25\%$ and on $\sigma_8$ by a factor of 2. The same analysis performed by combining the standard and four marked power spectra shows a substantial improvement compared to the power spectrum constraints that is equal to a factor of 6 for $\sigma_8$ and $2.5-3$ for the other parameters. Our constraints may be conservative, since the galaxy number density in the Molino catalogs is much lower than the ones in future galaxy surveys, which will allow them to probe lower density regions of the large-scale structure.

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Forward citations

Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Weighted Webs: Morphology-Informed Marked Fields

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    Morphology-based marks (tidal shear and local fractal dimension) add a modest but complementary ~10% Fisher-information gain over density-only marked power spectra for cosmological parameters.

  2. PatchNet: A hierarchical approach for neural field-level inference from Quijote Simulations

    astro-ph.CO 2025-09 conditional novelty 6.0 of 10

    Combining patch-level neural summaries with power spectrum and bispectrum extracts roughly as much cosmological information from dark matter simulations as wavelet statistics, apparently nearing the information limit ...

  3. Cosmological constraints from the Minkowski functionals of the BOSS CMASS galaxy sample

    astro-ph.CO 2025-01 conditional novelty 6.0 of 10

    A simulation-based emulator of Minkowski functionals applied to BOSS CMASS galaxies yields cosmological constraints from both Gaussian and non-Gaussian information, tighter than the 2PCF alone.

  4. Mitigating Model Misspecification in Simulation-Based Inference for Galaxy Clustering

    astro-ph.CO 2025-07 conditional novelty 5.0 of 10

    A two-step method (coefficient pruning plus learned robust transformation) fixes model misspecification in the SimBIG wavelet-scattering analysis of BOSS galaxy clustering and produces tight Lambda-CDM constraints.

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