6 citations · 8 across the 4 of their papers we have counts for
20 papers
project: III. Gas mass fraction shape in high redshift clusters
Rachida Sadat, Alain Blanchard, Sebastien C. Vauclair +10
We study the gas mass fraction, behavior in project. The typical shape of high redshift galaxy clusters follows the global shape inf…
Grist: Grid-based Data Mining for Astronomy
Joseph C. Jacob, Roy Williams, Jogesh Babu +8
The Grist project (http://grist.caltech.edu/) is developing a grid-technology based system as a research environment for astronomy with massive and complex datasets. This knowledge…
XMM Cluster Survey: X-ray source identification using the Sloan Digital Sky Survey
Kate R. Land, Robert C. Nichol, Michael Davidson +8
[ABRIDGED] The XMM Cluster Survey (XCS) is predicted to detect thousands of clusters observed serendipitously in XMM-Newton pointings. We investigate automating optical follow-up o…
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…
Star-Forming Galaxies in the Sloan Digital Sky Survey -- The View from Pittsburgh
Regina E. Schulte-Ladbeck, Christopher J. Miller, Ulrich Hopp +4
We used data from the Data Release 1 (DR1) of the Sloan Digital Sky Survey (SDSS) in order to define a catalog of about 13,000 star-forming galaxies (SFG). We discuss the results o…
Non-Parametric Inference in Astrophysics
Larry Wasserman, Christopher J. Miller, Robert C. Nichol +6
We discuss non-parametric density estimation and regression for astrophysics problems. In particular, we show how to compute non-parametric confidence intervals for the location an…