The Astronomical Journal
Department of Physics and Astronomy
Maps of the peculiar velocity field derived from distance relations are affected by Malmquist type bias and selection effects. Because of the large number of interdependent effects, they are in most cases difficult to treat analytically. Monte Carlo simulations are used to understand and evaluate these effects. In these simulations the "true" spatial distribution and relevant properties of galaxies as well as selection effects and observational uncertainties are realistically modeled. The results of the simulation can be directly applied to correct observed peculiar velocity maps. The simulation is used to investigate biases in samples of measured peculiar velocities by Lynden-Bell et al. (ApJ, 326, 19, 1988). Willick (ApJ, 351, L5, 1990) and the new sample of spiral galaxies by Haynes et al. (BAAS, 25, 1403, 1993). Based on the results obtained from the application of our method to toy models we find that the method is a useful tool to estimate the bias induced both by inhomogeneities and selection effects. This is a crucial step for the analysis of the Haynes et al. sample which was selected with a redshift dependent criterion.
Dartmouth Digital Commons Citation
Freudling, Wolfram; da Costa, Luiz N.; Wegner, Gary; and Giovanelli, Riccardo, "Determination of Malmquist Bias and Selection Effects from Monte Carlo Simulations" (1995). Dartmouth Scholarship. 2125.