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相关论文: Evidence for Filamentarity in the Las Campanas Red…

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We have measured the topology (genus) of the density distribution of large-scale structure observed in the Las Campanas Redshift Survey (LCRS). The LCRS is complete to magnitude 17.5, and contains nearly 24000 galaxies with median redshift…

天体物理学 · 物理学 2009-10-28 Wesley N. Colley

We employ a percolation technique developed for pointwise distributions to analyze two-dimensional projections of the three northern and three southern slices in the Las Campanas Redshift Survey. One of the goals of this paper is to compare…

天体物理学 · 物理学 2010-10-28 Sergei F. Shandarin , Capp Yess

Modern redshift surveys such as the 2 degree field Galaxy Redshift Survey (2dFGRS) and the Sloan Digital Sky Survey (SDSS) reveal the fully 3 dimensional distribution of a million or so galaxies over a large cosmological volume. Visually…

天体物理学 · 物理学 2009-09-29 Jatush V. Sheth , Varun Sahni

The Las Campanas Redshift Survey (LCRS) is among the first galaxy redshift surveys to sample a reasonably fair volume of the local Universe. On the largest scales (>> 100/h Mpc), the galaxy distribution appears smooth; on relatively small…

天体物理学 · 物理学 2007-05-23 D. L. Tucker , H. Lin , S. Shectman

The topology of the Las Campanas Redshift Survey is analyzed using Minkowski functional statistics, taking into account the selection effects of the survey. The results are compared with the predictions of some toy models of structure…

天体物理学 · 物理学 2011-07-19 Hy Trac , Dimitris Mitsouras , Paul Hickson , Robert H. Brandenberger

The Las Campanas Redshift Survey (LCRS) consists of 26418 redshifts of galaxies selected from a CCD-based catalog obtained in the $R$ band. The survey covers over 700 square degrees in 6 strips, each 1.5$\arcdeg$ x 80$\arcdeg$, three each…

Two-dimensional high-resolution density field of galaxies of the Las Campanas Redshift Survey (LCRS) with a smoothing length 0.8 Mpc/h is used to extract clusters and groups of galaxies, and a low-resolution field with a smoothing length 10…

天体物理学 · 物理学 2009-11-07 J. Einasto , M. Einasto , G. H"utsi , E. Saar , D. L. Tucker , E. Tago , V. M"uller , P. Hein"am"aki , S. S. Allam

It is known that the large-scale structure (LSS) mapped by a galaxy redshift survey is subject to distortions by galaxies' peculiar velocities. Besides the signatures generated in common N-point statistics, such as the anisotropy in the…

宇宙学与河外天体物理 · 物理学 2022-06-08 Aoxiang Jiang , Wei Liu , Wenjuan Fang , Wen Zhao

Examining the nature of the relative clustering of different galaxy types can help tell us how galaxies formed. To measure this relative clustering, I perform a joint counts-in-cells analysis of galaxies of different spectral types in the…

天体物理学 · 物理学 2009-10-31 Michael Blanton

Minkowski Functionals (MFs) are topological statistics that have become one of many standard tools used for investigating the statistical properties of cosmological random fields. They have found regular use in studies of departures from…

宇宙学与河外天体物理 · 物理学 2012-09-20 Geraint Pratten , Dipak Munshi

It has recently been established that the filaments seen in the Las Campanas Redshift Survey (LCRS) are statistically significant at scales as large as 70 to 80 Mpc/h in the $-3^{\circ}$ slice, and 50 to 70 Mpc/h in the five other LCRS…

天体物理学 · 物理学 2009-07-06 Somnath Bharadwaj , Biswajit Pandey

We analyze the filamentarity in the Las Campanas redshift survey (LCRS) and determine the length scale at which filaments are statistically significant. The largest length-scale at which filaments are statistically significant, real…

天体物理学 · 物理学 2009-07-06 Somnath Bharadwaj , Suketu Bhavsar , Jatush V. Sheth

We construct a spectral classification scheme for the galaxies of the Las Campanas Redshift Survey (LCRS) based on a principal component analysis of the measured galaxy spectra. We interpret the physical significance of our six spectral…

天体物理学 · 物理学 2009-10-30 Benjamin C. Bromley , William H. Press , Huan Lin , Robert P. Kirshner

I perform a joint counts-in-cells analysis of galaxies of different spectral types using the Las Campanas Redshift Survey (LCRS). Using a maximum-likelihood technique to fit for the relationship between the density fields of early- and…

天体物理学 · 物理学 2007-05-23 Michael Blanton

We analyse the redshift space topology and geometry of the nearby Universe by computing the Minkowski functionals of the Updated Zwicky Catalogue (UZC). The UZC contains the redshifts of almost 20,000 galaxies, is 96% complete to the…

天体物理学 · 物理学 2009-10-31 Jens Schmalzing , Antonaldo Diaferio

The Las Campanas Observatory and Anglo--Australian Telescope Rich Cluster Survey (LARCS) is a panoramic imaging and spectroscopic survey of an X-ray luminosity-selected sample of 21 clusters of galaxies at 0.07<z<0.16. CCD imaging was…

The pair-weighted relative velocity dispersion of galaxies provides a measure of the thermal energy of fluctuations of the observed galaxy distribution, but the measure is difficult to interpret and is very sensitive to the existence of…

天体物理学 · 物理学 2009-10-31 Jonathan E. Baker , Marc Davis , Huan Lin

We analyse shapes of overdense regions (clusters and superclusters) in controlled N-body simulations of gravitational clustering with power law initial spectra P(k) \propto k^n, n = -3, -2, -1, 0. At values of the density just above the…

天体物理学 · 物理学 2009-10-30 B. S. Sathyaprakash , Varun Sahni , Sergei F. Shandarin

We studied superclusters of galaxies in a volume-limited sample extracted from the Sloan Digital Sky Survey Data Release 7 (SDSS/DR7) and from mock catalogues based on a semi-analytical model of galaxy evolution in the Millenium Simulation.…

宇宙学与河外天体物理 · 物理学 2015-05-20 M. V. Costa-Duarte , L. Sodré , F. Durret

In this paper, we show that Minkowski Functionals (MFs) of weak gravitational lensing (WL) convergence maps contain significant non-Gaussian, cosmology-dependent information. To do this, we use a large suite of cosmological ray-tracing…

宇宙学与河外天体物理 · 物理学 2013-05-30 Jan M. Kratochvil , Eugene A. Lim , Sheng Wang , Zoltan Haiman , Morgan May , Kevin Huffenberger
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