[59.05] Removing Nonlinearities from Peculiar Velocity Data

AAS 201st Meeting, January, 2003
Session 59. Structure in and at Clusters of Galaxies
Oral, Tuesday, January 7, 2003, 10:00-11:30am, 606-607

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[59.05] Removing Nonlinearities from Peculiar Velocity Data

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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