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We analyze a volume limited galaxy sample from the SDSS to study the environments of galaxies on different length scales in the local Universe. We measure the local dimension of the SDSS galaxies on different length scales and find that the…

Cosmology and Nongalactic Astrophysics · Physics 2019-04-10 Suman Sarkar , Biswajit Pandey

We use SDSS data to investigate the scaling relations of 127 NoSOCS and 56 CIRS galaxy clusters at low redshift ($z \le 0.10$). We show that richness and both optical and X-ray luminosities are reliable mass proxies. The scatter in mass at…

Cosmology and Nongalactic Astrophysics · Physics 2010-03-04 P. A. A. Lopes , R. R. de Carvalho , J. L. Kohl-Moreira , C. Jones

In cosmological structure formation models, massive non-linear objects in the process of formation, such as galaxy clusters, are surrounded by large-scale shocks at or around the expected virial radius. Direct observational evidence for…

Astrophysics · Physics 2009-11-10 Bence Kocsis , Zoltan Haiman , Zsolt Frei

The large--scale structure (LSS) in the Universe comprises a complicated filamentary network of matter. We study this network using a high--resolution simulation of structure formation of a $\Lambda$ Cold Dark Matter cosmology. We…

Astrophysics · Physics 2009-11-10 Joerg M. Colberg , K. Simon Krughoff , Andrew J. Connolly

We constrain the mass distribution in nearby, star-forming galaxies with the Star Formation Reference Survey (SFRS), a galaxy sample constructed to be representative of all known combinations of star formation rate (SFR), dust temperature,…

By comparing semi-analytic galaxy catalogues with data from the Sloan Digital Sky Survey (SDSS), we show that current galaxy formation models reproduce qualitatively the dependence of galaxy clustering and pairwise peculiar velocities on…

Astrophysics · Physics 2008-11-26 Cheng Li , Y. P. Jing , Guinevere Kauffmann , Gerhard Boerner , Xi Kang , Lan Wang

We find clusters and superclusters of galaxies using the Data Release 1 of the Sloan Digital Sky Survey. We determine the luminosity function of clusters and find that clusters in a high-density environment have a luminosity a factor of ~5…

Astrophysics · Physics 2009-11-10 J. Einasto , E. Tago , M. Einasto , E. Saar , I. Suhhonenko , P. Hein"am"aki , G. Huetsi , D. L. Tucker

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.…

Cosmology and Nongalactic Astrophysics · Physics 2015-05-20 M. V. Costa-Duarte , L. Sodré , F. Durret

The Northern Local Void is a huge underdense region of the nearby Universe situated between the Hercules, Coma and Local Superclusters. We present an investigation of the galaxy distribution in the Northern Local Void using void statistics.…

Astrophysics · Physics 2007-05-23 U. Lindner , J. Einasto , M. Einasto , K. J. Fricke

The aim of this paper is to identify and study the properties and galactic content of groups and clusters in the GOODS-South field up to z\sim2.5, and to analyse the physical properties of galaxies as a continuous function of environmental…

We describe the construction of an all-sky galaxy catalogue, using SuperCOSMOS scans of Schmidt photographic plates from the UKST and POSS2 surveys. The photographic photometry is calibrated using SDSS data, with results that are linear to…

Cosmology and Nongalactic Astrophysics · Physics 2016-08-31 J. A. Peacock , N. C. Hambly , M. Bilicki , H. T. MacGillivray , L. Miller , M. A. Read , S. B. Tritton

Weak gravitational lensing has the potential to select clusters independently of their baryon content, dynamical state, and star formation history. We present steps toward the first shear-selected sample of clusters, from the Deep Lens…

Astrophysics · Physics 2007-05-23 V. E. Margoniner , the Deep Lens Survey Team

We assemble the largest CIV absorption line catalogue to date, leveraging machine learning, specifically Gaussian processes, to remove the need for visual inspection for detecting CIV absorbers. The catalogue contains probabilities…

Astrophysics of Galaxies · Physics 2023-09-26 Reza Monadi , Ming-Feng Ho , Kathy L. Cooksey , Simeon Bird

We present the results of a weak lensing survey of six high-redshift (z > 0.5), X-ray selected clusters of galaxies. We have obtained ultra-deep R-band images of each cluster with the Keck Telescope, and have measured a weak lensing signal…

Astrophysics · Physics 2009-10-31 D. Clowe , G. Luppino , N. Kaiser , I. Gioia

We study the galaxy clustering dependence on the $\left[\mathrm{O\scriptsize{II}}\right]$ emission line luminosity in the SDSS DR7 Main galaxy sample at mean redshift $z\sim0.1$. We select volume-limited samples of galaxies with different…

We present the first identification of large-scale structures (LSS) at z $< 1.1$ in the Cosmic Evolution Survey (COSMOS). The structures are identified from adaptive smoothing of galaxy counts in the pseudo-3d space ($\alpha,\delta$,z)…

We present a new catalogue of distances and peculiar velocities (PVs) of $34,059$ early-type galaxies derived from Fundamental Plane (FP) measurements using data from the Sloan Digital Sky Survey (SDSS). This $7016\,\mathrm{deg}^{2}$…

Cosmology and Nongalactic Astrophysics · Physics 2022-06-29 Cullan Howlett , Khaled Said , John R. Lucey , Matthew Colless , Fei Qin , Yan Lai , R. Brent Tully , Tamara M. Davis

We present a study of morphologies, based on deep $u^{*}g^{\prime}i^{\prime}z^{\prime}$ imaging of the Virgo Cluster from the Next Generation Virgo Cluster Survey (NGVS), for 3689 Virgo cluster members spanning a mass range of…

We use ROSAT All Sky Survey (RASS) broadband X-ray images and the optical clusters identified from SDSS DR7 to estimate the X-ray luminosities around $\sim 65,000$ candidate clusters with masses $\ga 10^{13}\msunh$ based on an Optical to…

Cosmology and Nongalactic Astrophysics · Physics 2014-06-19 Lei Wang , Xiaohu Yang , Shiyin Shen , H. J. Mo , Frank C. van den Bosch , Wentao Luo , Yu Wang , Erwin T. Lau , Q. D. Wang , Xi Kang , Ran Li
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