Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Comparing cosmic web classifiers using information theory   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.

11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga
9
The categories of this paper are: nlin
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
25
The categories of this paper are: patt-sol