Marco Selig - Concepedia

Author

Marco Selig

Max Planck Institute for Astrophysics ORCID

Also Known As

M Selig, M. Selig, Marco Selig, Selig, M., Selig, Marco

Publications

498

Citations

H-Index

Concepts

All Affiliations

Max Planck Institute for Astrophysics Ludwig-Maximilians-Universität München Max Planck Society Canadian Institute for Theoretical Astrophysics Excellence Cluster Universe

About

Marco Selig is an author at Max Planck Institute for Astrophysics specializing in engineering, radiometry, and radiation measurement.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	3	3	93
2	Natural Sciences	1	1	66
3	Data Science	1	1	14
4	Physics	1	1	66
5	Biophysics	1	1	13

Marco Selig

Publications

449

Citations

H-Index

Page 1

	Year	Citations
Reconstruction of Gaussian and log-normal fields with spectral smoothness Niels Oppermann, Marco Selig, M. R. Bell, Physical Review E	2013	95
NIFTY – Numerical Information Field Theory Marco Selig, M. R. Bell, H. Junklewitz, Astronomy and Astrophysics	2013	76
The denoised, deconvolved, and decomposed<i>Fermi</i><i>γ</i>-ray sky Marco Selig, V. Vacca, Niels Oppermann, Astronomy and Astrophysics Poissonian Shot NoisePhotometryEngineeringHigh-energy AstrophysicsPhysics	2015	66
RESOLVE: A new algorithm for aperture synthesis imaging of extended emission in radio astronomy H. Junklewitz, M. R. Bell, Marco Selig, Springer Link (Chiba Institute of Technology)	2016	62
Galactic dark matter search via phenomenological astrophysics modeling Xiaoyuan Huang, T. A. Enßlin, Marco Selig Journal of Cosmology and Astroparticle Physics	2016	40
Using rotation measure grids to detect cosmological magnetic fields: A Bayesian approach V. Vacca, Niels Oppermann, T. A. Enßlin, Astronomy and Astrophysics	2016	33
The Denoised, Deconvolved, and Decomposed Fermi $γ$-ray sky - An application of the D$^3$PO algorithm Marco Selig, V. Vacca, Niels Oppermann,	2014	30
Denoising, deconvolving, and decomposing photon observations Marco Selig, T. A. Enßlin Springer Link (Chiba Institute of Technology)	2015	20
Improving stochastic estimates with inference methods: Calculating matrix diagonals Marco Selig, Niels Oppermann, T. A. Enßlin Physical Review E Statistical Signal ProcessingParameter EstimationEngineeringData ScienceMatrix Analysis	2012	14
Simulation of stochastic network dynamics via entropic matching Tiago Ramalho, Marco Selig, Ulrich Gerland, Physical Review E EngineeringWeak NonlinearityNetwork AnalysisStochastic PhenomenonMarkov Chain Monte Carlo	2013	13

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