Removing Nonlinearities from Peculiar Velocity Data

Details Removing Nonlinearities from Peculiar Velocity Data Removing Nonlinearities from Peculiar Velocity Data

Dec 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aas...201.5905w&link_type=abstract

American Astronomical Society, 201st AAS Meeting, #59.05; Bulletin of the American Astronomical Society, Vol. 34, p.1209

Astronomy and Astrophysics

Astronomy

Scientific paper

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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