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Unbiased Hubble constant estimation from binary neutron star mergers
Daniel J. Mortlock, Stephen M. Feeney, Hiranya V. Peiris +2
Gravitational wave (GW) observations of binary neutron star (BNS) mergers can be used to measure luminosity distances and hence, when coupled with estimates for the mergers' host r…
Optimal proposals for Approximate Bayesian Computation
Justin Alsing, Benjamin D. Wandelt, Stephen M. Feeney
We derive the optimal proposal density for Approximate Bayesian Computation (ABC) using Sequential Monte Carlo (SMC) (or Population Monte Carlo, PMC). The criterion for optimality…
The Simons Observatory: Science goals and forecasts
The Simons Observatory Collaboration, Peter Ade, James Aguirre +247
The Simons Observatory (SO) is a new cosmic microwave background experiment being built on Cerro Toco in Chile, due to begin observations in the early 2020s. We describe the scient…
The EBEX Balloon Borne Experiment - Detectors and Readout
The EBEX Collaboration, Maximilian Abitbol, Asad M. Aboobaker +37
EBEX was a long-duration balloon-borne experiment to measure the polarization of the cosmic microwave background. The experiment had three frequency bands centered at 150, 250, and…
Prospects for resolving the Hubble constant tension with standard sirens
Stephen M. Feeney, Hiranya V. Peiris, Andrew R. Williamson +4
The Hubble constant () estimated from the local Cepheid-supernova (SN) distance ladder is in 3- tension with the value extrapolated from cosmic microwave background (CMB) d…
Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology
Justin Alsing, Benjamin Wandelt, Stephen Feeney
Many statistical models in cosmology can be simulated forwards but have intractable likelihood functions. Likelihood-free inference methods allow us to perform Bayesian inference f…