5 papers
Testing Statistical Isotropy on the Sphere with Minkowski Tensors
Stephen Appleby, Changbom Park
We consider how a class of morphological descriptors, the Minkowski Tensors (MTs), can be used to test the statistical isotropy of random fields on the sphere. The definition of th…
Understanding the non-Gaussian nature of Galactic foreground emissions towards small scales
Fazlu Rahman, Pravabati Chingangbam, Kevin Huffenberger +4
We present a unified, multi-scale study of non-Gaussianity of Galactic foreground emissions using Minkowski Functionals and generalized skewness-kurtosis parameters, focusing on th…
Non-Gaussian Expansion of Minkowski Tensors in Redshift Space
Stephen Appleby, Christophe Pichon, Pravabati Chingangbam +2
This paper focuses on extending the use of Minkowski Tensors to analyze anisotropic signals in cosmological data, focusing on those introduced by redshift space distortion. We deri…
ODIN: A New Lyman Alpha Blob Selection Method, Sample, and Statistical Analysis at
Byeongha Moon, Yujin Yang, Kyoung-Soo Lee +26
Ly blobs (LABs) are large, spatially extended Ly-emitting objects whose nature remains unclear. Their statistical properties such as number densities and luminosity functio…
Local patch analysis of ACT DR6 convergence map using morphological statistics
Masroor Bashir, Nidharssan S, Pravabati Chingangbam +4
We carry out a comprehensive hierarchical multi-scale morphological analysis to search for anomalous behaviour in the large scale matter distribution using convergence map provided…