Sampling Artifact in Volume Weighted Velocity Measurement.--- II. Detection in simulations and comparison with theoretical modelling
arXiv:1409.6809 · doi:10.1103/PhysRevD.91.043523
Abstract
Measuring the volume weighted velocity power spectrum suffers from a severe systematic error, due to imperfect sampling of the velocity field from inhomogeneous distribution of dark matter particles/halos in simulations or galaxies with velocity measurement. This "sampling artifact" depends on both the mean particle number density and the intrinsic large scale structure (LSS) fluctuation in the particle distribution. (1) We report robust detection of this sampling artifact in N-body simulations. It causes % underestimation of the velocity power spectrum at h/Mpc for samples with (Mpc/h). This systematic underestimation increases with decreasing and increasing . Its dependence on the intrinsic LSS fluctuations is also robustly detected. (2) All these findings are expected by our theoretical modelling in paper I \cite{Zhang14}. In particular, the leading order theoretical approximation agrees quantitatively well with simulation result for (Mpc/h). Furthermore, we provide an ansatz to take high order terms into account. It improves the model accuracy to % at h/Mpc over 3 orders of magnitude in and over typical LSS clustering from to . (3) The sampling artifact is determined by the deflection field, which is straightforwardly available in both simulations and data of galaxy velocity. Hence the sampling artifact in the velocity power spectrum measurement can be self-calibrated within our framework. By applying such self-calibration in simulations, it becomes promising to determine the {\it real} large scale velocity bias of halos with % accuracy, and that of lower mass halos by better accuracy. ...[abridged]
arXiv comment11 pages, 11 figures. More arguments added, match the PRD accepted version
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