Publications of N. Oppermann
All genres
Journal Article (11)
1.
Journal Article
575, A118, pp. 1 - 25 (2015)
Estimating extragalactic Faraday rotation. Astronomy & Astrophysics 2.
Journal Article
88 (10), 103516, pp. 1 - 12 (2013)
Fast and precise way to calculate the posterior for the local non-Gaussianity parameter fnl from cosmic microwave background observations. Physical Review D 3.
Journal Article
88 (5), 053303, pp. 1 - 7 (2013)
Diagnostics for insufficiencies of posterior calculations in Bayesian signal inference. Physical Review E 4.
Journal Article
554, A26, pp. 1 - 9 (2013)
NIFTY – Numerical Information Field Theory - A versatile PYTHON library for signal inference. Astronomy & Astrophysics 5.
Journal Article
87 (3), 032136, pp. 1 - 16 (2013)
Reconstruction of Gaussian and log-normal fields with spectral smoothness. Physical Review E 6.
Journal Article
551, L7, pp. 1 - 5 (2013)
Improved CLEAN reconstructions for rotation measure synthesis with maximum likelihood estimation. Astronomy & Astrophysics 7.
Journal Article
86 (1), 015027, pp. 1 - 12 (2012)
XENON100 exclusion limit without considering L-eff as a nuisance parameter. Physical Review D 8.
Journal Article
542, A93, pp. 1 - 14 (2012)
An improved map of the galactic Faraday sky. Astronomy & Astrophysics 9.
Journal Article
85 (2 Part 1), 021134, pp. 1 - 7 (2012)
Improving stochastic estimates with inference methods: calculating matrix diagonals. Physical Review E 10.
Journal Article
84 (4 Part 1), 041118, pp. 1 - 10 (2011)
Reconstructing signals from noisy data with unknown signal and noise covariance. Physical Review E 11.
Journal Article
530, A89, pp. 1 - 10 (2011)
Probing magnetic helicity with synchrotron radiation and Faraday rotation. Astronomy & Astrophysics Conference Paper (2)
12.
Conference Paper
ICRC2015, 768, (2015)
Imaging the Fermi g-ray sky. ICRC - The Astroparticle Physics Conference: 34th International Cosmic Ray Conference, The Hague, The Netherlands, July 30, 2015 - August 06, 2015. Proceedings of Science 13.
Conference Paper
Reconstructing signals from noisy data with unknown signal and noise covariance. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering, pp. 122 - 129 (Ed. VonToussaint, U.). 32nd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MAXENT), Garching, Germany, July 15, 2012 - July 20, 2012. (2013)
Thesis - PhD (1)
14.
Thesis - PhD
Signal inference in galactic astrophysics. Dissertation, 178 pp., Ludwig-Maximilians-Universität, München (2013)