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Journal Article (12)

1.
Journal Article
Vacca, V.; Oppermann, N.; Enßlin, T.; Jasche, J.; Selig, M.; Greiner, M.; Junklewitz, H.; Reinecke, M.; Brüggen, M.; Carretti, E. et al.; Feretti, L.; Ferrari, C.; Hales, C. A.; Horellou, C.; Ideguchi, S.; Johnston-Hollitt, M.; Pizzo, R. F.; Röttgering, H.; Shimwell, T. W.; Takahashi, K.: Using rotation measure grids to detect cosmological magnetic fields: A Bayesian approach. Astronomy & Astrophysics 591, A13, pp. 1 - 22 (2016)
2.
Journal Article
Huang, X.; Enßlin, T.; Selig, M.: Galactic dark matter search via phenomenological astrophysics modeling. Journal of Cosmology and Astroparticle Physics 2016 (4), 030, pp. 1 - 19 (2016)
3.
Journal Article
Junklewitz, H.; Bell, M. R.; Selig, M.; Enßlin, T. A.: RESOLVE: A new algorithm for aperture synthesis imaging of extended emission in radio astronomy. Astronomy & Astrophysics 586, A76, pp. 1 - 21 (2016)
4.
Journal Article
Selig, M.; Vacca, V.; Oppermann, N.; Enßlin, T. A.: The denoised, deconvolved, and decomposed Fermi γ-ray sky: an application of the D3PO algorithm. Astronomy & Astrophysics 581, A126, pp. 1 - 16 (2015)
5.
Journal Article
Selig, M.; Enßlin, T. A.: Denoising, deconvolving, and decomposing photon observations⋆ Derivation of the D3PO algorithm. Astronomy & Astrophysics 574, A74 (2015)
6.
Journal Article
Dorn, S.; Enßlin, T. A.; Greiner, M.; Selig, M.; Boehm, V.: Signal inference with unknown response: Calibration-uncertainty renormalized estimator. Physical Review E 91 (1), 013311 (2015)
7.
Journal Article
Enßlin, T. A.; Junklewitz, H.; Winderling, L.; Greiner, M.; Selig, M.: Improving self-calibration. Physical Review E 90 (4), 043301 (2014)
8.
Journal Article
Dorn, S.; Oppermann, N.; Khatri, R.; Selig, M.; Enßlin, T. A.: Fast and precise way to calculate the posterior for the local non-Gaussianity parameter fnl from cosmic microwave background observations. Physical Review D 88 (10), 103516, pp. 1 - 12 (2013)
9.
Journal Article
Selig, M.; Bell, M. R.; Junklewitz, H.; Oppermann, N.; Reinecke, M.; Greiner, M.; Pachajoa, C.; Enßlin, T. A.: NIFTY – Numerical Information Field Theory - A versatile PYTHON library for signal inference. Astronomy & Astrophysics 554, A26, pp. 1 - 9 (2013)
10.
Journal Article
Oppermann, N.; Selig, M.; Bell, M. R.; Enßlin, T. A.: Reconstruction of Gaussian and log-normal fields with spectral smoothness. Physical Review E 87 (3), 032136, pp. 1 - 16 (2013)
11.
Journal Article
Ramalho, T.; Selig, M.; Gerland, U.; Enßlin, T. A.: Simulation of stochastic network dynamics via entropic matching. Physical Review E 87 (2), 022719, pp. 1 - 9 (2013)
12.
Journal Article
Selig, M.; Oppermann, N.; Enßlin, T. A.: Improving stochastic estimates with inference methods: calculating matrix diagonals. Physical Review E 85 (2 Part 1), 021134, pp. 1 - 7 (2012)

Conference Paper (4)

13.
Conference Paper
Huang, X.; Enßlin, T.; Selig, M.: GeV excess and phenomenological astrophysics modeling. XIV International Conference on Topics in Astroparticle and Underground Physics (TAUP 2015), Torino, Italy, September 07, 2015 - September 11, 2015. Journal of Physics: Conference Series 718, 042029, pp. 1 - 5 (2016)
14.
Conference Paper
Selig, M.; Vacca, V.; Oppermann, N.; Enßlin, T.: 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 ICRC2015, 768, (2015)
15.
Conference Paper
Vacca, V.; Oppermann, N.; Ensslin, T. A.; Selig, M.; Junklewitz, H.; Greiner, M.; Jasche, J.; Hales, C.A.; Reinecke, M.; Carretti, E. et al.; Feretti, L.; Ferrari, C.; Giovannini, G.; Govoni, F.; Horellou, C.; Ideguchi, S.; Johnston-Hollitt, M.; Murgia, M.; Paladino, R.; Pizzo, R.; Scaife, A.: Statistical methods for the analysis of rotation measure grids in large scale structures in the SKA era. In: Advancing Astrophysics with the Square Kilometre Array - AASKA14, PoS(AASKA14)114, pp. 1 - 9. Advancing Astrophysics with the Square Kilometre Array - AASKA14, Giardini Naxos, Italy, June 09, 2014 - June 13, 2014. (2015)
16.
Conference Paper
Selig, M.: The NIFTy way of Bayesian signal inference. In: Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2013, pp. 68 - 73 (Eds. Niven, R. K.; Brewer, B.; Paull, D.; Shafi, K.; Stokes, B.). 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt), Canberra, Australia, December 15, 2013 - December 20, 2013. (2014)

Thesis - PhD (1)

17.
Thesis - PhD
Selig, M.: Information theory based high energy photon imaging. Dissertation, 132 pp., Ludwig-Maximilians-Universität, München (2015)

Thesis - Diploma (1)

18.
Thesis - Diploma
Selig, M.: Information field theory for high energy astronomy. Diploma, 75 pp., Technische Universität, München (2011)
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