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R. Watkins (Willamette U.), H.A. Feldman (U. Kansas)
Analyses of peculiar velocity surveys face several challenges, including low signal-to-noise in individual velocity measurements and the presence of small-scale, nonlinear flows. We describe a new method of overcoming these problems by using data compression as a filter with which to separate large-scale, linear flows from small-scale noise that can bias results. We demonstrate the effectiveness of our method using realistic catalogs of galaxy velocities drawn from N-body simulations.
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Bulletin of the American Astronomical Society, 34, #4
© 2002. The American Astronomical Soceity.