期刊
ASTROPHYSICAL JOURNAL
卷 564, 期 2, 页码 534-541出版社
UNIV CHICAGO PRESS
DOI: 10.1086/324280
关键词
cosmology : observations; cosmology : theory; distance scale; galaxies : kinematics and dynamics; galaxies : statistics; large-scale structure of universe
We present a new method for the analysis of peculiar velocity surveys that removes contributions to velocities from small scale, nonlinear velocity modes while retaining information about large-scale motions. Our method utilizes Karhunen-Loeve methods of data compression to construct a set of moments out of the velocities that are minimally sensitive to small-scale power. The set of moments are then used in a likelihood analysis. We develop criteria for the selection of moments, as well as a statistic to quantify the overall sensitivity of a set of moments to small-scale power. Although we discuss our method in the context of peculiar velocity surveys, it may also prove useful in other situations where data filtering is required.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据