Testing the minimum variance method for estimating large‐scale velocity moments

@article{Agarwal2012TestingTM,
  title={Testing the minimum variance method for estimating large‐scale velocity moments},
  author={Shankar Agarwal and Hume A. Feldman and Richard Watkins},
  journal={Monthly Notices of the Royal Astronomical Society},
  year={2012},
  volume={424},
  pages={2667-2675}
}
The estimation and analysis of large-scale bulk flow moments of peculiar velocity surveys is complicated by non-spherical survey geometry, the non-uniform sampling of the matter velocity field by the survey objects and the typically large measurement errors of the measured line-of-sight velocities. Previously, we have developed an optimal ‘minimum variance’ (MV) weighting scheme for using peculiar velocity data to estimate bulk flow moments for idealized, dense and isotropic surveys with… Expand

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