Halo detection via large-scale Bayesian inference
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]
|Collections||ANU Research Publications|
|Source:||Monthly Notices of the Royal Astronomical Society|
|Access Rights:||Open Access|
|01_Merson_Halo_detection_via_large-scale_2016.pdf||5.75 MB||Adobe PDF|
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