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.
The effects of peculiar velocities on the morphological properties of large-scale structure
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abstract
It is known that the large-scale structure (LSS) mapped by a galaxy redshift survey is subject to distortions by galaxies' peculiar velocities. Besides the signatures generated in common N-point statistics, such as the anisotropy in the galaxy 2-point correlation function, the peculiar velocities also induce distinct features in LSS's morphological properties, which are fully described by four Minkowski functionals (MFs), i.e., the volume, surface area, integrated mean curvature and Euler characteristic (or genus). In this work, by using large suite of N-body simulations, we present and analyze these important features in the MFs of LSS on both (quasi-)linear and non-linear scales, with a focus on the latter. We also find the MFs can give competitive constraints on cosmological parameters compared to the power spectrum, probablly due to the non-linear information contained. For galaxy number density similar to the DESI BGS galaxies, the constraint on $\sigma_8$ from the MFs with one smoothing scale can be better by $\sim 50\%$ than from the power spectrum. These findings are important for the cosmological applications of MFs of LSS, and probablly open up a new avenue for studying the peculiar velocity field itself.
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Cosmological constraints from the Minkowski functionals of the BOSS CMASS galaxy sample
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.