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We propose a new method to calculate Faraday rotation measure maps from multi-frequency polarisation angle data. In order to solve the so called nπ-ambiguity problem which arises from the observationally ambiguity of the polarisation angle which is only determined up to additions of ±nπ, where n is an integer, we suggest using a global scheme. Instead of… (More)

- Marco Selig, Michael R. Bell, +5 authors Torsten A. Enßlin
- ArXiv
- 2013

NIFTy, " Numerical Information Field Theory " , is a software package designed to enable the development of signal inference algorithms that operate regardless of the underlying spatial grid and its resolution. Its object-oriented framework is written in Python, although it accesses libraries written in Cython, C++, and C for efficiency. NIFTy offers a… (More)

- Torsten A. Enßlin
- ArXiv
- 2013

Non-linear image reconstruction and signal analysis deal with complex inverse problems. To tackle such problems in a systematic way, I present information field theory (IFT) as a means of Bayesian, data based inference on spatially distributed signal fields. IFT is a statistical field theory, which permits the construction of optimal signal recovery… (More)

- Tiago Ramalho, Marco Selig, Ulrich Gerland, Torsten A Ensslin
- Physical review. E, Statistical, nonlinear, and…
- 2013

The simulation of complex stochastic network dynamics arising, for instance, from models of coupled biomolecular processes remains computationally challenging. Often, the necessity to scan a model's dynamics over a large parameter space renders full-fledged stochastic simulations impractical, motivating approximation schemes. Here we propose an… (More)

- Torsten A. Enßlin
- Physical review. E, Statistical, nonlinear, and…
- 2013

Information field dynamics (IFD) is introduced here as a framework to derive numerical schemes for the simulation of physical and other fields without assuming a particular subgrid structure as many schemes do. IFD constructs an ensemble of nonparametric subgrid field configurations from the combination of the data in computer memory, representing… (More)

The analysis of astronomical images is a non-trivial task. The D 3 PO algorithm addresses the inference problem of denoising, deconvolving, and decomposing photon observations. Its primary goal is the simultaneous but individual reconstruction of the diffuse and point-like photon flux given a single photon count image, where the fluxes are superimposed. In… (More)

- Torsten A Enßlin, Henrik Junklewitz, Lars Winderling, Maksim Greiner, Marco Selig
- Physical review. E, Statistical, nonlinear, and…
- 2014

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 basis of the data. Here, we investigate self-calibration methods for linear signal measurements and linear dependence of the response on the calibration parameters. The common… (More)

- Marco Selig, Torsten A. Enßlin
- ArXiv
- 2013

The analysis of astronomical images is a non-trivial task. The D 3 PO algorithm addresses the inference problem of denoising, deconvolving, and decomposing photon observations. The primary goal is the simultaneous reconstruction of the diffuse and point-like photon flux from a given photon count image. In order to discriminate between these morphologically… (More)

- Torsten A. Enßlin, Jakob Knollmüller
- ArXiv
- 2016

The inference of correlated signal fields with unknown correlation structures is of high scientific and technological relevance, but poses significant conceptual and numerical challenges. To address these, we develop the correlated signal inference (CSI) algorithm within information field theory (IFT) and discuss its numerical implementation. To this end,… (More)

- Torsten A. Enßlin, Henrik Junklewitz, Lars Winderling, Marco Selig
- ArXiv
- 2013