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STATISTICAL TOOLS FOR CLASSIFYING GALAXY GROUP...
Journal article

STATISTICAL TOOLS FOR CLASSIFYING GALAXY GROUP DYNAMICS

Abstract

The dynamical state of galaxy groups at intermediate redshifts can provide information about the growth of structure in the universe. We examine three goodness-of-fit tests, the Anderson–Darling (A–D), Kolmogorov, and χ2 tests, in order to determine which statistical tool is best able to distinguish between groups that are relaxed and those that are dynamically complex. We perform Monte Carlo simulations of these three tests and show that the …

Authors

Hou A; Parker LC; Harris WE; Wilman DJ

Journal

The Astrophysical Journal, Vol. 702, No. 2, pp. 1199–1210

Publisher

American Astronomical Society

Publication Date

September 10, 2009

DOI

10.1088/0004-637x/702/2/1199

ISSN

0004-637X