98 citations · 443 across the 15 of their papers we have counts for
5 papers · 1 filter
Improving self-calibration
Torsten A. Enßlin, Henrik Junklewitz, Lars Winderling +2
Response calibration is the process of inferring how much the measured data depend on the signal one is interested in. It is essential for any quantitative signal estimation on the…
RESOLVE: A new algorithm for aperture synthesis imaging of extended emission in radio astronomy
H. Junklewitz, M. R. Bell, M. Selig +1
We present RESOLVE, a new algorithm for radio aperture synthesis imaging of extended and diffuse emission in total intensity. The algorithm is derived using Bayesian statistical in…
DPO - Denoising, Deconvolving, and Decomposing Photon Observations
Marco Selig, Torsten Enßlin
The analysis of astronomical images is a non-trivial task. The D3PO algorithm addresses the inference problem of denoising, deconvolving, and decomposing photon observations. Its p…
Fast and precise way to calculate the posterior for the local non-Gaussianity parameter from cosmic microwave background observations
Sebastian Dorn, Niels Oppermann, Rishi Khatri +2
We present an approximate calculation of the full Bayesian posterior probability distribution for the local non-Gaussianity parameter from observations of cosmic mi…
NIFTY - Numerical Information Field Theory - a versatile Python library for signal inference
Marco Selig, Michael R. Bell, Henrik Junklewitz +5
NIFTY, "Numerical Information Field Theory", is a software package designed to enable the development of signal inference algorithms that operate regardless of the underlying spati…