Search for anomalous alignments of structures in Planck data using Minkowski Tensors
Joby P. K., Pravabati Chingangbam, Tuhin Ghosh, Vidhya Ganesan,, Ravikumar C. D

TL;DR
This paper introduces a method to analyze the shape and alignment of structures in Planck satellite data using Minkowski Tensors directly on the sphere, improving accuracy over previous stereographic projection methods.
Contribution
It extends Minkowski Tensors to curved spaces for direct sphere analysis, enabling more precise detection of alignments in CMB data without stereographic projection errors.
Findings
Good agreement between data and simulations within 1σ
No significant difference across most frequencies
Approximately 2σ discrepancy at 30 GHz, likely due to beam estimation issues
Abstract
Minkowski Tensors are tensorial generalizations of the scalar Minkowski Functionals. Due to their tensorial nature they contain additional morphological information of structures, in particular about shape and alignment, in comparison to the scalar Minkowski functionals. They have recently been used [29] to study the statistical isotropy of temperature and E mode data from the Planck satellite. The calculation in [29] relied on stereographic projection of the fields to extract the shape and alignment information. In this work, we calculate Minkowski Tensors directly on the sphere and compute the net alignment in the data, based on a recent work that extends the definition of Minkowski Tensors to random fields on curved spaces. This method circumvents numerical errors that can be introduced by the stereographic projection. We compare the resulting net alignment parameter values obtained…
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