Abstract Details

Name: Masroor Bashir
Affiliation: Indian Institute of Astrophysics
Conference ID: ASI2025_135
Title: Testing Statistical Isotropy and Gaussianity of ACT DR6 Convergence data using Morphological statistics
Authors: Masroor Bashir (1, 2), Pravabati Chingangbam(1), Nidharssan S (1), Fazlu Rahman (3, 4), Priya Goyal (5), Stephen Appleby (6), Changbom Park (5)
Authors Affiliation: 1) (Indian Institute of Astrophysics, Koramangala II Block, Bangalore 560 034, India) 2) (Department of Physics, Pondicherry University, R.V. Nagar, Kalapet, 605 014, Puducherry, India) 3) (Mitchell Institute for Fundamental Physics and Astronomy, Department of Physics and Astronomy, Texas A&M University, College Station, TX, 77843, USA) 4) (Raman Research Institute, C. V. Raman Avenue, Sadashivanagar, Bengaluru, 560 080, India) 5) (Korea Institute for Advanced Study (KIAS), 85 Hoegiro, Dongdaemun-gu, Seoul, Republic of Korea-02455) 6) (APCTP)
Mode of Presentation: Oral
Abstract Category: Galaxies and Cosmology
Abstract: We carry out a comprehensive hierarchical multi-scale morphological analysis to test statistical isotropy and deviation from Gaussianity of large scale matter distribution using data of the convergence map provided by the Atacama Cosmology Telescope data release 6. We use a suite of morphological statistics consisting of Minkowski functionals, contour Minkowski tensor and Betti numbers for the analysis. We devise a general methodology for inferring the statistical significance of deviations of morphological statistics based on the persistence of the deviations across threshold ranges and spatial resolutions, and taking into account correlations amongst the statistics and the nature of the information that each statistic carries. From analysis of the full dataset, and hemispherical regions, we find consistency with statistical isotropy. This is not surprising since deviations in smaller sky regions tend to get washed out when averaged over larger regions. A local analysis of smaller sky patches reveals some patches that exhibit statistically significant persistent departures from statistical isotropy.