Please use this identifier to cite or link to this item: https://dspace.vblibrarynetwork.in:443/xmlui/handle/123456789/50
Title: How much a galaxy knows about its large-scale environment?: An information theoretic perspective
Other Titles: MNRAS 467, L6–L10 (2017)
Authors: Pandey, Biswajit
Sarkar, Suman
Keywords: methods: data analysis – methods: statistical – galaxies: evolution – galaxies: for mation – large-scale structure of Uni
Issue Date: Dec-2016
Publisher: Oxford University Press on behalf of the Royal Astronomical Society
Abstract: The small-scale environment characterized by the local density is known to play a crucial role in deciding the galaxy properties but the role of large-scale environment on galaxy formation and evolution still remain a less clear issue. We propose an information theoretic framework to investigate the influence of large-scale environment on galaxy properties and apply it to the data from the Galaxy Zoo project that provides the visual morphological classifications of ∼1 million galaxies from the Sloan Digital Sky Survey. We find a non-zero mutual information between morphology and environment that decreases with increasing length-scales but persists throughout the entire length-scales probed. We estimate the conditional mutual information and the interaction information between morphology and environment by conditioning the environment on different length-scales and find a synergic interaction between them that operates up to at least a length-scales of ∼30 h−1 Mpc. Our analysis indicates that these interactions largely arise due to the mutual information shared between the environments on different length-scales.
URI: https://vbudspace.lsdiscovery.in/xmlui/handle/123456789/50
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