Minkowski Tensors in Three Dimensions - Probing the Anisotropy Generated by Redshift Space Distortion
Stephen Appleby, Pravabati Chingangbam, Changbom Park, K. P. Yogendran, and P. K. Joby

TL;DR
This paper demonstrates how Minkowski tensor statistics can detect and quantify anisotropy caused by redshift space distortions in three-dimensional Gaussian random fields, providing a new tool for cosmological analysis.
Contribution
It introduces Minkowski tensor statistics in three dimensions, applies them to Gaussian fields, and shows their effectiveness in measuring anisotropy from redshift space distortions.
Findings
Minkowski tensors reveal anisotropy in redshift space distorted fields.
The tensors' diagonal components differ under anisotropy, indicating preferred directions.
The method can constrain the redshift space distortion parameter A5.
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 additionally provide information on the mean shape of 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 and . We calculate the ensemble average of these matrices for an isotropic Gaussian random field, finding that they are proportional to products of the identity matrix and a corresponding scalar Minkowski…
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