TY - JOUR
T1 - Comparing cosmic web classifiers using information theory
AU - Leclercq, Florent
AU - Lavaux, Guilhem
AU - Jasche, Jens
AU - Wandelt, Benjamin
PY - 2016/8/12
Y1 - 2016/8/12
N2 - 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.
AB - 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.
KW - cosmic web
KW - cosmological simulations
KW - galaxy clustering
UR - http://www.scopus.com/inward/record.url?scp=84985997812&partnerID=8YFLogxK
UR - https://spiral.imperial.ac.uk/handle/10044/1/54213
U2 - 10.1088/1475-7516/2016/08/027
DO - 10.1088/1475-7516/2016/08/027
M3 - Article
AN - SCOPUS:84985997812
SN - 1475-7516
VL - 2016
JO - Journal of Cosmology and Astroparticle Physics
JF - Journal of Cosmology and Astroparticle Physics
IS - 8
M1 - 027
ER -