Search Results for author: Marco Selig

Found 3 papers, 0 papers with code

Signal inference with unknown response: Calibration-uncertainty renormalized estimator

no code implementations23 Oct 2014 Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Boehm

The calibration of a measurement device is crucial for every scientific experiment, where a signal has to be inferred from data.

Improving self-calibration

no code implementations4 Dec 2013 Torsten A. Enßlin, Henrik Junklewitz, Lars Winderling, Maksim Greiner, Marco Selig

Contemporary self-calibration schemes try to find a self-consistent solution for signal and calibration by exploiting redundancies in the measurements.

NIFTY - Numerical Information Field Theory - a versatile Python library for signal inference

no code implementations18 Jan 2013 Marco Selig, Michael R. Bell, Henrik Junklewitz, Niels Oppermann, Martin Reinecke, Maksim Greiner, Carlos Pachajoa, Torsten A. Enßlin

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.

Instrumentation and Methods for Astrophysics Information Theory Mathematical Software Mathematical Physics Information Theory Mathematical Physics Data Analysis, Statistics and Probability Computation

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