Back to Search Start Over

Cosmological constraints from density-split clustering in the BOSS CMASS galaxy sample

Authors :
Paillas, Enrique
Cuesta-Lazaro, Carolina
Percival, Will J.
Nadathur, Seshadri
Cai, Yan-Chuan
Yuan, Sihan
Beutler, Florian
de Mattia, Arnaud
Eisenstein, Daniel
Forero-Sanchez, Daniel
Padilla, Nelson
Pinon, Mathilde
Ruhlmann-Kleider, Vanina
Sánchez, Ariel G.
Valogiannis, Georgios
Zarrouk, Pauline
Publication Year :
2023

Abstract

We present a clustering analysis of the BOSS DR12 CMASS galaxy sample, combining measurements of the galaxy two-point correlation function and density-split clustering down to a scale of $1\,h^{-1}{\rm Mpc}$. Our theoretical framework is based on emulators trained on high-fidelity mock galaxy catalogues that forward model the cosmological dependence of the clustering statistics within an extended-$\Lambda$CDM framework, including redshift-space and Alcock-Paczynski distortions. Our base-$\Lambda$CDM analysis finds $\omega_{\rm cdm} = 0.1201\pm 0.0022$, $\sigma_8 = 0.792\pm 0.034$, and $n_s = 0.970\pm 0.018$, corresponding to $f\sigma_8 = 0.462\pm 0.020$ at $z \approx 0.525$, which is in agreement with Planck 2018 predictions and various clustering studies in the literature. We test single-parameter extensions to base-$\Lambda$CDM, varying the running of the spectral index, the dark energy equation of state, and the density of massless relic neutrinos, finding no compelling evidence for deviations from the base model. We model the galaxy-halo connection using a halo occupation distribution framework, finding signatures of environment-based assembly bias in the data. We validate our pipeline against mock catalogues that match the clustering and selection properties of CMASS, showing that we can recover unbiased cosmological constraints even with a volume 84 times larger than the one used in this study.<br />Comment: Submitted to MNRAS. Source code to generate the figures available in the captions. Updated to add missing references and fix legend of Fig. 6

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2309.16541
Document Type :
Working Paper