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19962013
most citedEfficient Photometric Selection of Quasars from the Sloan Digital Sky Survey: II. ~1,000,000 Quasars from Data Release Six

348 citations · 977 across the 19 of their papers we have counts for

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astro-ph2008★ 348 cited

Efficient Photometric Selection of Quasars from the Sloan Digital Sky Survey: II. ~1,000,000 Quasars from Data Release Six

Gordon T. Richards, Adam D. Myers, Alexander G. Gray +6

We present a catalog of 1,172,157 quasar candidates selected from the photometric imaging data of the Sloan Digital Sky Survey (SDSS). The objects are all point sources to a limiti…

astro-ph2007★ 66 cited

Efficient intra- and inter-night linking of asteroid detections using kd-trees

Jeremy Kubica, Larry Denneau, Tommy Grav +7

The Panoramic Survey Telescope And Rapid Response System (Pan-STARRS) under development at the University of Hawaii's Institute for Astronomy is creating the first fully automated…

astro-ph2006★ 94 cited

The Effect of Large-Scale Structure on the SDSS Galaxy Three-Point Correlation Function

R. C. Nichol, R. K. Sheth, Y. Suto +21

We present measurements of the normalised redshift-space three-point correlation function (Q_z) of galaxies from the Sloan Digital Sky Survey (SDSS) main galaxy sample. We have app…

astro-ph2005

Statistical Computations with AstroGrid and the Grid

Robert C Nichol, Garry Smith, Christopher J Miller +6

We outline our first steps towards marrying two new and emerging technologies; the Virtual Observatory (e.g, AstroGrid) and the computational grid. We discuss the construction of V…

astro-ph2005★ 1 cited

Massive Science with VO and Grids

Robert Nichol, Garry Smith, Christopher Miller +7

There is a growing need for massive computational resources for the analysis of new astronomical datasets. To tackle this problem, we present here our first steps towards marrying…

astro-ph2004★ 6 cited

Multi-Tree Methods for Statistics on Very Large Datasets in Astronomy

Alexander G. Gray, Andrew W. Moore, Robert C. Nichol +3

Many fundamental statistical methods have become critical tools for scientific data analysis yet do not scale tractably to modern large datasets. This paper will describe very rece…