activity
20122016
most citedApproximate Bayesian Computation for Forward Modeling in Cosmology

92 citations · 331 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.IM2016★ 8 cited

An Integrated System at the Bleien Observatory for Mapping the Galaxy

Chihway Chang, Christian Monstein, Joel Akeret +5

We describe the design and performance of the hardware system at the Bleien Observatory. The system is designed to deliver a map of the Galaxy for studying the foreground contamina…

astro-ph.IM2016★ 25 cited

HIDE & SEEK: End-to-End Packages to Simulate and Process Radio Survey Data

Joel Akeret, Sebastian Seehars, Chihway Chang +3

As several large single-dish radio surveys begin operation within the coming decade, a wealth of radio data will become available and provide a new window to the Universe. In order…

astro-ph.CO2015★ 36 cited

Quantifying Concordance in Cosmology

Sebastian Seehars, Sebastian Grandis, Adam Amara +1

Quantifying the concordance between different cosmological experiments is important for testing the validity of theoretical models and systematics in the observations. In earlier w…

astro-ph.CO2015★ 32 cited

Information Gains from Cosmological Probes

S. Grandis, S. Seehars, A. Refregier +2

In light of the growing number of cosmological observations, it is important to develop versatile tools to quantify the constraining power and consistency of cosmological probes. O…

astro-ph.CO2015★ 92 cited

Approximate Bayesian Computation for Forward Modeling in Cosmology

Joel Akeret, Alexandre Refregier, Adam Amara +2

Bayesian inference is often used in cosmology and astrophysics to derive constraints on model parameters from observations. This approach relies on the ability to compute the likel…

astro-ph.CO2014★ 50 cited

Information Gains from Cosmic Microwave Background Experiments

Sebastian Seehars, Adam Amara, Alexandre Refregier +2

To shed light on the fundamental problems posed by Dark Energy and Dark Matter, a large number of experiments have been performed and combined to constrain cosmological models. We…

astro-ph.CO2012★ 88 cited

CosmoHammer: Cosmological parameter estimation with the MCMC Hammer

Joël Akeret, Sebastian Seehars, Adam Amara +2

We study the benefits and limits of parallelised Markov chain Monte Carlo (MCMC) sampling in cosmology. MCMC methods are widely used for the estimation of cosmological parameters f…