2018
DOI: 10.3847/1538-4357/aacf8c
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Minkowski Tensors in Three Dimensions: Probing the Anisotropy Generated by Redshift Space Distortion

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 … Show more

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Cited by 26 publications
(35 citation statements)
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“…11. Future work should concentrate on estimating the full correlation between the Minkowski functionals at different values of the radii, implementing a fully three-dimensional approach for their calculation [see e.g., [77][78][79][80], for examples of Minkowski functionals in 3D]. Producing fully 3D Minkowski functionals for a lognormal field in 3D can be used in particular to extract non-Gaussian information from the shear field.…”
Section: Discussionmentioning
confidence: 99%
“…11. Future work should concentrate on estimating the full correlation between the Minkowski functionals at different values of the radii, implementing a fully three-dimensional approach for their calculation [see e.g., [77][78][79][80], for examples of Minkowski functionals in 3D]. Producing fully 3D Minkowski functionals for a lognormal field in 3D can be used in particular to extract non-Gaussian information from the shear field.…”
Section: Discussionmentioning
confidence: 99%
“…Having constructed a smoothed, discretized density field δ ijk , we next extract the MFs from the unmasked pixels in the following section using the method described in Appleby et al (2018b) but accounting for the presence of a mask. A discussion of how we adjust our algorithm to account for the mask can be found in appendix B.1.…”
Section: Density Field Reconstructionmentioning
confidence: 99%
“…The geometrical aspects involve the notion of volume, area and so on, via the Minkowski functionals, or the Lifshitz-Killing curvatures (Crofton 1868;Hadwiger 1957;Adler 1981), while the topological characterization involves the notion of critical points (Milnor 1963;Edelsbrunner & Harer 2010), and topological properties associated with them, such as topological cycles or equivalently the topological holes, finding their basis in homology theory (Munkres 1984;Edelsbrunner & Harer 2010;Pranav 2015;Pranav et al 2017). The notion of Euler characteristic (Euler 1758;Gott et al 1986Gott et al , 1989Park et al 2013;Appleby et al 2018Appleby et al , 2020 provides a bridge between purely topological and purely geometrical concepts, as while being a purely topological quantity, it can be expressed in a purely integral geometric setting, as established by the Theorema Egrerium due to Gauss (Gauss 1900).…”
Section: Characterization Of the Properties Of Random Fieldsmentioning
confidence: 99%