Tensor Minkowski Functionals for random fields on the sphere
Creators
- 1. Indian Institute of Astrophysics, Koramangala II Block, Bangalore 560 034 (India)
- 2. Indian Institute of Science Education and Research, Sector 81, Mohali (India)
- 3. Korea Institute for Advanced Study, 85 Hoegiro, Dongdaemun-gu, Seoul 02455 (Korea, Republic of)
Description
We generalize the translation invariant tensor-valued Minkowski Functionals which are defined on two-dimensional flat space to the unit sphere. We apply them to level sets of random fields. The contours enclosing boundaries of level sets of random fields give a spatial distribution of random smooth closed curves. We outline a method to compute the tensor-valued Minkowski Functionals numerically for any random field on the sphere. Then we obtain analytic expressions for the ensemble expectation values of the matrix elements for isotropic Gaussian and Rayleigh fields. The results hold on flat as well as any curved space with affine connection. We elucidate the way in which the matrix elements encode information about the Gaussian nature and statistical isotropy (or departure from isotropy) of the field. Finally, we apply the method to maps of the Galactic foreground emissions from the 2015 PLANCK data and demonstrate their high level of statistical anisotropy and departure from Gaussianity.
Availability note (English)
Available from http://dx.doi.org/10.1088/1475-7516/2017/12/023Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Cosmology and Astroparticle Physics
- Journal Volume
- 2017
- Journal Issue
- 12
- Journal Page Range
- p. 023
- ISSN
- 1475-7516
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51061694
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- ANISOTROPY; EMISSION; EXPECTATION VALUE; ISOTROPY; MATRIX ELEMENTS; MINKOWSKI SPACE; SPATIAL DISTRIBUTION; TENSORS; TWO-DIMENSIONAL CALCULATIONS
- Descriptors DEC
- DISTRIBUTION; MATHEMATICAL SPACE; SPACE