Minkowski Tensors in Two Dimensions - Probing the Morphology and Isotropy of the Matter and Galaxy Density Fields
Stephen Appleby, Pravabati Chingangbam, Changbom Park, Sungwook E., Hong, Juhan Kim, Vidhya Ganesan

TL;DR
This paper applies Minkowski Tensor statistics to two-dimensional slices of the three-dimensional matter density field to quantify shape and anisotropy, revealing how gravitational collapse and redshift distortions affect these properties.
Contribution
It introduces an algorithm for constructing bounding perimeters and analyzes Minkowski Tensors to probe anisotropy and shape in cosmological density fields, including effects of gravitational collapse and redshift distortions.
Findings
Eigenvalues $\Lambda_{1,2}$ are unaffected by gravitational collapse.
Mean shape of peaks becomes more circular due to gravitational effects.
Eigenvalues $\Lambda_{1,2}$ can detect large-scale velocity fields in redshift space.
Abstract
We apply the Minkowski Tensor statistics to two dimensional slices of the three dimensional density field. The Minkowski Tensors are a set of functions that are sensitive to directionally dependent signals in the data, and furthermore can be used to quantify the mean shape of density peaks. We begin by introducing our algorithm for constructing bounding perimeters around subsets of a two dimensional field, and reviewing the definition of Minkowski Tensors. Focusing on the translational invariant statistic - a matrix - we calculate its eigenvalues for both the entire excursion set () and for individual connected regions and holes within the set (). The ratio of eigenvalues informs us of the presence of global anisotropies in the data, and is a…
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