Local patch analysis for testing statistical isotropy of the Planck convergence map
Priya Goyal, Pravabati Chingangbam

TL;DR
This study tests the statistical isotropy of the Planck convergence map using a tensor-based analysis, finding overall consistency but identifying specific patches with significant deviations potentially due to noise estimation issues.
Contribution
Introduces a contour Minkowski tensor-based $oldsymbol{ extalpha}$ statistic for local anisotropy detection in CMB lensing maps, revealing localized SI deviations.
Findings
Overall convergence map consistent with SI
Identified patches with >95% CL deviations from SI
Most anomalies linked to noise estimation issues
Abstract
The small but measurable effect of weak gravitational lensing on the cosmic microwave background radiation provide information about the large-scale distribution of matter in the universe. We use the all sky distribution of matter, as represented by the {\em convergence map} that is inferred from CMB lensing measurement by Planck survey, to test the fundamental assumption of Statistical Isotropy (SI) of the universe. For the analysis we use the statistic that is devised from the contour Minkowski tensor, a tensorial generalization of the scalar Minkowski functional, the contour length. In essence, the statistic captures the ellipticity of isofield contours at any chosen threshold value of a smooth random field and provides a measure of anisotropy. The SI of the observed convergence map is tested against the suite of realistic simulations of the convergence map provided…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
