Comparing cosmic web classifiers using information theory
File(s)1606.06758.pdf (5.19 MB)
Accepted version
Publication available at
Author(s)
Leclercq, F
Lavaux, G
Jasche, J
Wandelt, B
Type
Journal Article
Abstract
We introduce a decision scheme for optimally choosing a classifier, which segments the cosmic web into different structure types (voids, sheets, filaments, and clusters). Our framework, based on information theory, accounts for the design aims of different classes of possible applications: (i) parameter inference, (ii) model selection, and (iii) prediction of new observations. As an illustration, we use cosmographic maps of web-types in the Sloan Digital Sky Survey to assess the relative performance of the classifiers T-WEB, DIVA and ORIGAMI for: (i) analyzing the morphology of the cosmic web, (ii) discriminating dark energy models, and (iii) predicting galaxy colors. Our study substantiates a data-supported connection between cosmic web analysis and information theory, and paves the path towards principled design of analysis procedures for the next generation of galaxy surveys. We have made the cosmic web maps, galaxy catalog, and analysis scripts used in this work publicly available.
Date Issued
2016-08-12
Online Publication Date
2016-08-12
2017-11-28T09:43:40Z
Date Acceptance
2016-08-02
ISSN
1475-7516
Publisher
IOP Publishing
Start Page
027
End Page
027
Journal / Book Title
Journal of Cosmology and Astroparticle Physics
Volume
2016
Issue
08
Copyright Statement
© 2016 IOP Publishing Ltd and Sissa Medialab srl. This is an author-created, un-copyedited version of an article accepted for publication in [insert name of journal]. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher authenticated version is available online at http://iopscience.iop.org/article/10.1088/1475-7516/2016/08/027/meta
Source Database
crossref
Subjects
0201 Astronomical And Space Sciences
0202 Atomic, Molecular, Nuclear, Particle And Plasma Physics
Nuclear & Particles Physics
Publication Status
Published