98 citations · 443 across the 15 of their papers we have counts for
15 papers
Spectroscopic analysis of hot, massive stars in large spectroscopic surveys with de-idealised models
J. M. Bestenlehner, T. Enßlin, M. Bergemann +3
Upcoming large-scale spectroscopic surveys with e.g. WEAVE and 4MOST will provide thousands of spectra of massive stars, which need to be analysed in an efficient and homogeneous w…
GeV excess and phenomenological astrophysics modeling
Xiaoyuan Huang, Torsten Enßlin, Marco Selig
Predefined spatial templates to describe the background of -ray emission from astrophysical processes, like cosmic ray interactions, are used in previous searches for the -ra…
Galactic dark matter search via phenomenological astrophysics modeling
Xiaoyuan Huang, Torsten Enßlin, Marco Selig
Previous searches for the -ray signatures of annihilating galactic dark matter used predefined spatial templates to describe the background of -ray emission from astrophysica…
Statistical methods for the analysis of rotation measure grids in large scale structures in the SKA era
Valentina Vacca, Niels Oppermann, Torsten Ensslin +18
To better understand the origin and properties of cosmological magnetic fields, a detailed knowledge of magnetic fields in the large-scale structure of the Universe (galaxy cluster…
The NIFTY way of Bayesian signal inference
Marco Selig
We introduce NIFTY, "Numerical Information Field Theory", a software package for the development of Bayesian signal inference algorithms that operate independently from any underly…
Signal inference with unknown response: Calibration-uncertainty renormalized estimator
Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner +2
The calibration of a measurement device is crucial for every scientific experiment, where a signal has to be inferred from data. We present CURE, the calibration uncertainty renorm…