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Related papers: Biasing in the Galaxy Distribution

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We use the Millennium Simulation, a 10 billion particle simulation of the growth of cosmic structure, to construct a new model of galaxy clustering. We adopt a methodology that falls midway between the traditional semi-analytic approach and…

Astrophysics · Physics 2009-11-11 Lan Wang , Cheng Li , Guinevere Kauffmann , Gabriella De Lucia

We present a new method that simultaneously solves for cosmology and galaxy bias on non-linear scales. The method uses the halo model to analytically describe the (non-linear) matter distribution, and the conditional luminosity function…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-05 Frank van den Bosch , Surhud More , Marcello Cacciato , Houjun Mo , Xiaohu Yang

Assembly bias describes the finding that the clustering of dark matter haloes depends on halo formation time at fixed halo mass. In this paper, we analyse the influence of assembly bias on galaxy clustering using both semi-analytical models…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-15 Lan Wang , Simone M. Weinmann , Gabriella De Lucia , Xiaohu Yang

We combine weak lensing measurements from the Red-Sequence Cluster Survey and the VIRMOS-DESCART survey, and present the first direct measurements of the bias parameter b and the galaxy-mass cross-correlation coefficient r on scales ranging…

We present measurements of the masses of a sample of 25 moderate X-ray luminosity clusters of galaxies from the 160 square degree ROSAT survey. The masses were obtained from a weak lensing analysis of deep F814W images obtained using the…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 Henk Hoekstra , Megan Donahue , Christopher J. Conselice , Brian R. McNamara , G. Mark Voit

We present a fully analytical halo model of colour-dependent clustering that incorporates the effects of galactic conformity in a halo occupation distribution (HOD) framework. The model, based on our previous numerical work, describes…

Astrophysics of Galaxies · Physics 2017-07-19 Isha Pahwa , Aseem Paranjape

{We study biasing as a physical phenomenon by analysing geometrical and clustering properties of density fields of matter and galaxies.} {Our goal is to determine the bias function using a combination of geometrical and power spectrum…

Cosmology and Nongalactic Astrophysics · Physics 2019-09-25 J. Einasto , L. J. Liivamägi , I. Suhhonenko , M. Einasto

Measuring the distribution of mass on galaxy cluster scales is a crucial test of the Lambda CDM model, providing constraints on the nature of dark matter. Recent work investigating mass distributions of individual galaxy clusters using…

Astrophysics · Physics 2009-11-11 V. Corless , L. King

Self-calibration techniques for analyzing galaxy cluster counts utilize the abundance and the clustering amplitude of dark matter halos. These properties simultaneously constrain cosmological parameters and the cluster observable-mass…

Astrophysics · Physics 2009-06-23 Hao-Yi Wu , Eduardo Rozo , Risa H. Wechsler

We use a sample of galaxy groups selected from the SDSS DR 4 with an adaptive halo-based group finder to probe how the clustering strength of groups depends on their masses and colors. In particular, we determine the relative biases of…

Astrophysics · Physics 2009-11-19 Yu Wang , Xiaohu Yang , H. J. Mo , Frank C. van den Bosch , Simone M. Weinmann , Yaoquan Chu

The halo assembly bias, a phenomenon referring to dependencies of the large-scale bias of a dark matter halo other than its mass, is a fundamental property of the standard cosmological model. First discovered in 2005 from the Millennium Run…

Cosmology and Nongalactic Astrophysics · Physics 2022-10-19 Yen-Ting Lin , Hironao Miyatake , Hong Guo , Yi-Kuan Chiang , Kai-Feng Chen , Ting-Wen Lan , Yu-Yen Chang

We present measurements of the color and luminosity dependence of galaxy clustering at z~1 in the DEEP2 Galaxy Redshift Survey. Using volume-limited subsamples in bins of both color and luminosity, we find that: 1) The clustering dependence…

Cluster abundance measurements are among the most sensitive probes of the amplitude of matter fluctuations in the universe, which in turn can help constrain other cosmological parameters, like the dark energy equation of state or neutrino…

Astrophysics · Physics 2010-10-27 Rachel Mandelbaum , Uros Seljak

We present weak lensing results for 12 distant clusters determined from images obtained with the refurbished HST. We detect the signature of gravitational lensing in 11 of the 12 clusters; the clusters span nearly an order of magnitude in…

We investigate the large-scale distribution of galaxy clusters taken from several X-ray catalogs. Different statistics of clustering like the conditional correlation function (CCF) and the minimal spanning tree (MST) as well as void…

Astrophysics · Physics 2008-05-16 A. V. Tikhonov , A. I. Kopylov , S. Gottlober , G. Yepes

We present constraints on the scaling relations of galaxy cluster X-ray luminosity, temperature and gas mass (and derived quantities) with mass and redshift, employing masses from robust weak gravitational lensing measurements. These are…

Recent analysis of the SSRS2 data based on cell-counts and two-point correlation function has shown that very luminous galaxies are much more strongly clustered than fainter galaxies. In fact, the amplitude of the correlation function of…

Astrophysics · Physics 2009-10-30 A. Cappi , L. N. da Costa , C. Benoist , S. Maurogordato , P. S. Pellegrini

We have tested for luminosity, colour and morphology dependence of the degree of filamentarity in seven nearly two dimensional strips from the Sloan Digital Sky Survey Data Release Four (SDSS DR4). The analysis is carried out at various…

Astrophysics · Physics 2009-11-11 Biswajit Pandey , Somnath Bharadwaj

We present measurements of the redshift-space luminosity-weighted or `marked' correlation function in the SDSS. These are compared with a model in which the luminosity function and luminosity dependence of clustering are the same as that…

Astrophysics · Physics 2009-11-11 Ramin Skibba , Ravi K. Sheth , Andrew J. Connolly , Ryan Scranton
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