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Halo detection via large-scale Bayesian inference

Merson, Alexander I.; Jasche, Jens; Abdalla, Filipe B; Lahav, O; Wandelt, Benjamin; Jones, D. Heath; Colless, Matthew

Description

We present a proof-of-concept of a novel and fully Bayesian methodology designed to detect haloes of different masses in cosmological observations subject to noise and systematic uncertainties. Our methodology combines the previously published Bayesian large-scale structure inference algorithm, HAmiltonian Density Estimation and Sampling algorithm (HADES), and a Bayesian chain rule (the Blackwell–Rao estimator), which we use to connect the inferred density field to the properties of dark...[Show more]

CollectionsANU Research Publications
Date published: 2016
Type: Journal article
URI: http://hdl.handle.net/1885/152608
Source: Monthly Notices of the Royal Astronomical Society
DOI: 10.1093/mnras/stw948
Access Rights: Open Access

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