2020
DOI: 10.1093/mnras/staa3074
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The completed SDSS-IV extended baryon oscillation spectroscopic survey: geometry and growth from the anisotropic void–galaxy correlation function in the luminous red galaxy sample

Abstract: We present an analysis of the anisotropic redshift-space void-galaxy correlation in configuration space using the Sloan Digital Sky Survey extended Baryon Oscillation Spectroscopic Survey (eBOSS) Data Release 16 luminous red galaxy (LRG) sample. This sample consists of LRGs between redshifts 0.6 and 1.0, combined with the high redshift z > 0.6 tail of the Baryon Oscillation Spectroscopic Survey Data Release 12 CMASS sample. We use a reconstruction method to undo redshift-space distortion (RSD) effects f… Show more

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Cited by 59 publications
(73 citation statements)
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References 84 publications
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“…The method consists of recovering the real-space position of the galaxies based on the Zel'dovich approximation. This method has now been applied to the case of voids (Nadathur et al 2019a(Nadathur et al , 2020, showing robustness in recovering the real-space statistical properties of voids, such as their density and velocity profiles, and achieving unbiased cosmological constraints. Given that this procedure depends on the cosmological parameters, it must be applied iteratively in combination with the void finding step.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The method consists of recovering the real-space position of the galaxies based on the Zel'dovich approximation. This method has now been applied to the case of voids (Nadathur et al 2019a(Nadathur et al , 2020, showing robustness in recovering the real-space statistical properties of voids, such as their density and velocity profiles, and achieving unbiased cosmological constraints. Given that this procedure depends on the cosmological parameters, it must be applied iteratively in combination with the void finding step.…”
Section: Introductionmentioning
confidence: 99%
“…Two of the most important cosmological statistics in void studies are the void size function, that describes the abundance of voids (Sheth & van de Weygaert 2004;Furlanetto & Piran 2006;Jennings et al 2013;Achitouv et al 2015;Pisani et al 2015;Ronconi & Marulli 2017;Contarini et al 2019;Ronconi et al 2019;Verza et al 2019), and the void-galaxy cross-correlation function, that characterises the density and peculiar velocity fields around them (Paz et al 2013;Hamaus et al 2015;Cai et al 2016;Hamaus et al 2016;Achitouv 2017;Achitouv et al 2017;Chuang et al 2017;Hamaus et al 2017;Hawken et al 2017;Achitouv 2019;Nadathur & Percival 2019;Nadathur et al 2019a,b;Hawken et al 2020;Hamaus et al 2020;Nadathur et al 2020;Paillas et al 2021). Both statistics are affected by distortions in the observed spatial distribution of the galaxies, which translate into anisotropic patterns.…”
Section: Introductionmentioning
confidence: 99%
“…The study of the voidgalaxy cross-correlation function is a rich field of research and has already provided stringent constraints from current data (e.g. Hamaus et al 2016;Hawken et al 2017;Hamaus et al 2020;Aubert et al 2020;Nadathur et al 2020), through its use of voids as standard spheres for the Alcock-Paczyński test (Alcock & Paczynski 1979;Lavaux & Wandelt 2012) and the redshift-space distortion analysis around void centers. Unlocking small scales with Roman will strongly contribute to tighten such constraints.…”
Section: Void Cosmologymentioning
confidence: 99%
“…We use the publicly available REVOLVER (REal-space VOid Locations from surVEy Reconstruction) 1 void finder to build our void catalogues with the ZOBOV (ZOnes Bordering On Voidness) algorithm (Neyrinck (2008)), which is a 3D void finder and has been widely used both in simulations and observed catalogues (Jeffrey et al (2021); Nadathur et al (2020); Contarini et al (2021); Nadathur et al (2020)). The ZOBOV algorithm performs a Voronoi tessellation of a set of points, identifies depressions in the density distribution of these points, and merges them into group of Voronoi cells using a watershed transform (Platen et al 2007) without pre-determined assumptions about voids shape, size or mean underdensity, which is the most appealing aspect of the watershed method.…”
Section: Void Findermentioning
confidence: 99%