Abstract:
We apply the Minkowski tensor statistics to three-dimensional Gaussian random fields. Minkowski tensors
contain information regarding the orientation and shape of excursion sets that is not present in the scalar
Minkowski functionals. They can be used to quantify globally preferred directions and also provide information
on the mean shape of the subsets of a field. This makes them ideal statistics to measure the anisotropic signal
generated by redshift space distortion in the low-redshift matter density field. We review the definition of the
Minkowski tensor statistics in three dimensions, focusing on two coordinate invariant quantities, W1
0,2 and W2 0,2. We calculate the ensemble average of these 3 × 3 matrices for an isotropic Gaussian random field, finding that they are proportional to products of the identity matrix and a corresponding scalar Minkowski functional. We show how to numerically reconstruct W1 0,2 and W2 0,2 from discretely sampled fields and apply our algorithm toisotropic Gaussian fields generated from a linear ΛCDM matter power spectrum. We then introduce anisotropy by applying a linear redshift space distortion operator to the matter density field and find that both W1 0,2 and W2 0,2 exhibit a distinct signal characterized by inequality between their diagonal components. We discuss the physical origin of this signal and how it can be used to constrain the redshift space distortion parameter ϒ ≡ f/b.
