Spatial clustering of galaxies in large datasets

Alexander Szalay; Tamas Budavari; Andrew Connolly; Jim Gray; Takahiko Matsubara; Adrian Pope; Istvan Szapudi

doi:10.1117/12.476761

19 December 2002 Spatial Clustering of Galaxies in Large Datasets

Alexander Szalay, Tamas Budavari, Andrew Connolly, Jim Gray, Takahiko Matsubara, Adrian Pope, Istvan Szapudi

Proceedings Volume 4847, Astronomical Data Analysis II; (2002) https://doi.org/10.1117/12.476761
Event: Astronomical Telescopes and Instrumentation, 2002, Waikoloa, Hawai'i, United States

Abstract

Datasets with tens of millions of galaxies present new challenges for the analysis of spatial clustering. We have built a framework, that integrates a database of object catalogs, tools for creating masks of bad regions, and a fast (NlogN) correlation code. This system has enabled unprecedented efficiency in carrying out the analysis of galaxy clustering in the SDSS catalog. A similar approach is used to compute the three-dimensional spatial clustering of galaxies on very large scales. We describe our strategy to estimate the effect of photometric errors using a database. We discuss our efforts as an early example of data-intensive science. While it would have been possible to get these results without the framework we describe, it will be infeasible to perform these computations on the future huge datasets without using this framework.

Citation Download Citation

Alexander Szalay, Tamas Budavari, Andrew Connolly, Jim Gray, Takahiko Matsubara, Adrian Pope, and Istvan Szapudi "Spatial Clustering of Galaxies in Large Datasets", Proc. SPIE 4847, Astronomical Data Analysis II, (19 December 2002); https://doi.org/10.1117/12.476761

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available