Cosmological Constraints from a Combination of Galaxy Clustering and Lensing -- III. Application to SDSS Data

By M. Cacciato, F. V. D. Bosch, S. More, H. Mo, Xiaohu Yang. 2012

147 citations recorded by the source corpus.

We simultaneously constrain cosmology and galaxy bias using measurements of galaxy abundances, galaxy clustering and galaxy-galaxy lensing taken from the Sloan Digital Sky Survey. We use the conditional luminosity function (which describes the halo occupation statistics as function of galaxy luminosity) combined with the halo model (which describes the non-linear matter field in terms of its halo building blocks) to describe the galaxy-dark matter connection. We explicitly account for residual redshift space distortions in the projected galaxy-galaxy correlation functions, and marginalize over uncertainties in the scale dependence of the halo bias and the detailed structure of

Subfields: Astronomy and Astrophysics, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/c2b194aafae7c9a2743f9ba1729b92873a892817

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Citations in the corpus

Lensing is Low: Cosmology, Galaxy Formation, or New Physics? (2016, methodology): “In particular, the analysis of Cacciato et al. (2013) most closely resembles the ones presented here.”
DEPENDENCE OF THE OUTER DENSITY PROFILES OF HALOS ON THEIR MASS ACCRETION RATE (2014, background): “…Baryon Acoustic Oscillations and Type Ia Supernovae (Komatsu et al. 2011; Jarosik et al. 2011), X-Ray cluster abundance evolution (Vikhlinin et al. 2009), and observations of the clustering of galaxies and galaxygalaxy/cluster weak lensing (see, e.g., Tinker et al. 2012; Cacciato et al. 2013).”
KiDS+GAMA : cosmology constraints from a joint analysis of cosmic shear, galaxy-galaxy lensing, and angular clustering (2017, methodology): “These probes have been used to constrain cosmological parameters (e.g. Cacciato et al. 2013; Mandelbaum et al. 2013; More et al. 2015; Kwan et al. 2017; Nicola, Refregier & Amara 2017).”
The DESI Experiment Part I: Science,Targeting, and Survey Design (2016, methodology): “On small scales, this measures the properties of the host dark matter halo, testing galaxy bias models; on larger scales, it can be used to measure the mass-mass auto-correlation and hence the amplitude of structure [68, 183].”
THE SPLASHBACK RADIUS AS A PHYSICAL HALO BOUNDARY AND THE GROWTH OF HALO MASS (2015, background): “…of galaxy formation (see, e.g., Kravtsov et al. 2004; Tasitsiomi et al. 2004; Vale & Ostriker 2004; Conroy et al. 2005; Mandelbaum et al. 2006; Cacciato et al. 2009, 2013; Conroy & Wechsler 2009; More et al. 2009, 2011, 2015; Behroozi et al. 2010, 2013; Moster et al. 2010; Zehavi et al. 2011;…”
The dark side of galaxy colour (2013, background): “This result is very encouraging since the color-dependent 2PCF encodes rich information about the galaxy-halo connection (e.g., More et al. 2013; Cacciato et al. 2013).”
KiDS-450: cosmological parameter constraints from tomographic weak gravitational lensing (2016, background): “Similar low values for σ 8 are found in recent studies that make use of a combination of galaxy–galaxy lensing (GGL) and galaxy clustering (Cacciato et al. 2013; Mandelbaum et al. 2013; More et al. 2015).”
Mapping stellar content to dark matter haloes using galaxy clustering and galaxy–galaxy lensing in the SDSS DR7 (2015, methodology): “Furthermore, the HOD is potentially a powerful tool to constrain cosmology (Yoo et al. 2006; Zheng & Weinberg 2007; van den Bosch et al. 2013; Cacciato et al. 2013; More et al. 2014), by exploiting the average bias vs. mass relation of the dark matter halos revealed by the galaxies they contain.”
A 2.5 per cent measurement of the growth rate from small-scale redshift space clustering of SDSS-III CMASS galaxies (2014, methodology): “As in other analyses simultaneously fitting cosmology and HOD-like parameters (Tinker et al. 2011; Cacciato et al. 2013; Mandelbaum et al. 2013), we naively expect most of our sensitivity to cosmological parameters to be through some combination of σ 8 and m.”
The Canadian Cluster Comparison Project: detailed study of systematics and updated weak lensing masses (2015, methodology): “In addition, we used predictions based on the halo model described in Cacciato et al. (2013) to estimate the expected level of contamination due to neighbouring structures.”
Galaxy assembly bias: a significant source of systematic error in the galaxy–halo relationship (2013, background): “…Zheng et al. 2009; Simon et al. 2009; Abbas et al. 2010; Watson et al. 2010; Matsuoka et al. 2011; Miyaji et al. 2011; Leauthaud et al. 2011, 2012; Tinker et al. 2012; Geach et al. 2012; Kayo & Oguri 2012; van den Bosch et al. 2013; Tinker et al. 2013; Parejko et al. 2013; Cacciato et al. 2013).”