81 citations · 136 across the 13 of their papers we have counts for
4 papers · 1 filter
Bias-Free Estimation of Signals on Top of Unknown Backgrounds
Johannes Diehl, Jakob Knollmüller, Oliver Schulz
We present a method for obtaining unbiased signal estimates in the presence of a significant unknown background, eliminating the need for a parametric model for the background itse…
Variable structures in M87* from space, time and frequency resolved interferometry
Philipp Arras, Philipp Frank, Philipp Haim +4
Observing the dynamics of compact astrophysical objects provides insights into their inner workings, thereby probing physics under extreme conditions. The immediate vicinity of an…
Separating diffuse from point-like sources - a Bayesian approach
Jakob Knollmüller, Philipp Frank, Torsten A. Enßlin
We present the starblade algorithm, a method to separate superimposed point sources from auto-correlated, diffuse flux using a Bayesian model. Point sources are assumed to be indep…
NIFTy 3 - Numerical Information Field Theory - A Python framework for multicomponent signal inference on HPC clusters
Theo Steininger, Jait Dixit, Philipp Frank +10
NIFTy, "Numerical Information Field Theory", is a software framework designed to ease the development and implementation of field inference algorithms. Field equations are formulat…