Please use this identifier to cite or link to this item: https://dspace.vblibrarynetwork.in:443/xmlui/handle/123456789/52
Title: Probing large scale homogeneity and periodicity in the LRG distribution using Shannon entropy
Other Titles: Royal Astronomical Society
Authors: Pandey, Biswajit
Sarkar, Suman
Keywords: methods: data analysis – methods: statistical – large-scale structure of the Universe
Issue Date: May-2016
Publisher: Oxford University Press on behalf of the Royal Astronomical Society
Series/Report no.: MNRAS 460, 1519–1528 (2016);
Abstract: We quantify the degree of inhomogeneity in the Luminous Red Galaxy (LRG) distribution from the SDSS DR7 as a function of length scales by measuring the Shannon entropy in independent and regular cubic voxels of increasing grid sizes. We also analyse the data by carrying out measurements in overlapping spheres and find that it suppresses inhomogeneities by a factor of 5–10 on different length scales. Despite the differences observed in the degree of inhomogeneity both the methods show a decrease in inhomogeneity with increasing length scales which eventually settle down to a plateau at ∼150 h−1 Mpc. Considering the minus cule values of inhomogeneity at the plateaus and their expected variations we conclude that the LRG distribution becomes homogeneous at 150 h−1 Mpc and beyond. We also use the Kullback–Leibler divergence as an alternative measure of inhomogeneity which reaffirms our findings. We show that the method presented here can effectively capture the inhomogeneity in a truly inhomogeneous distribution at all length scales. We analyse a set of Monte Carlo simulations with certain periodicity in their spatial distributions and find periodic variations in their inhomogeneity which helps us to identify the underlying regularities present in such dis tributions and quantify the scale of their periodicity. We do not find any underlying regularities in the LRG distribution within the length scales probed
URI: https://vbudspace.lsdiscovery.in/xmlui/handle/123456789/52
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