Constraints on f ( R ) and normal-branch Dvali-Gabadadze-Porrati modified gravity model parameters with cluster abundances and galaxy clustering
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This article is published in Physical Review D.The article was published on 2021-11-18 and is currently open access. It has received 2 citations till now. The article focuses on the topics: Cluster analysis & Galaxy.read more
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The matter density PDF for modified gravity and dark energy with Large Deviations Theory
TL;DR: In this paper , the authors present an analytical description of the probability distribution function (PDF) of the smoothed three-dimensional matter density field for modified gravity and dark energy, which is applicable to general extensions of the standard Lambda$CDM cosmology.
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OUP accepted manuscript
TL;DR: In this article , a simulated likelihood analysis of the galaxy clustering and weak lensing data from the Roman Space Telescope High Latitude Survey combined with CMB lensing from the Simons Observatory is undertaken, marginalizing over important astrophysical effects and calibration uncertainties.
References
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Screenings in modified gravity: a perturbative approach
TL;DR: In this article, a formalism to study screening mechanisms in modified theories of gravity through perturbative methods in different cosmological scenarios is presented, and the obtained growth functions are then separated into screening and non-screened contributions to facilitate their analysis.
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Redshift space power spectrum beyond Einstein-de Sitter kernels
Alejandro Aviles,Georgios Valogiannis,Mario A. Rodriguez-Meza,Jorge L. Cervantes-Cota,Baojiu Li,Rachel Bean +5 more
TL;DR: In this article, Chen, Vlah and White developed a framework to compute the redshift space power spectrum (PS), with kernels beyond Einstein-de Sitter (EdS), that can be applied to a wide variety of generalized cosmologies.
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Improving constraints on fundamental physics parameters with the clustering of Sunyaev-Zeldovich selected galaxy clusters
TL;DR: In this paper, the authors investigate what additional cosmological information can be gained after including the clustering signal of clusters, the cluster power spectrum, and the bias of clusters as a tracer of the matter density.