Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Junklewitz, Henrik"'
Autor:
Llorca, David Fernández, Hamon, Ronan, Junklewitz, Henrik, Grosse, Kathrin, Kunze, Lars, Seiniger, Patrick, Swaim, Robert, Reed, Nick, Alahi, Alexandre, Gómez, Emilia, Sánchez, Ignacio, Kriston, Akos
This study explores the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and the impact on testing procedures, focusing on some of the essential requirements
Externí odkaz:
http://arxiv.org/abs/2403.14641
Autor:
Junklewitz, Henrik
This thesis unifies several studies, which all are dedicated to the subject of statistical data analysis in radio astronomy and radio astrophysics. Radio astronomy, like astronomy as a whole, has undergone a remarkable development in the past twenty
Externí odkaz:
http://edoc.ub.uni-muenchen.de/17745/1/Junklewitz_Henrik.pdf
http://nbn-resolving.de/urn:nbn:de:bvb:19-177457
http://nbn-resolving.de/urn:nbn:de:bvb:19-177457
Autor:
Basu, Aritra, Mao, S. A., Fletcher, Andrew, Kanekar, Nissim, Shukurov, Anvar, Schnitzeler, Dominic, Vacca, Valentina, Junklewitz, Henrik
To constrain the large-scale magnetic field strengths in cosmologically distant galax- ies, we derive the probability distribution function of Faraday rotation measure (RM) when random lines of sight pass through a sample of disc galaxies, with axisy
Externí odkaz:
http://arxiv.org/abs/1810.03628
Autor:
Basu, Aritra, Mao, S. A., Fletcher, Andrew, Kanekar, Nissim, Shukurov, Anvar, Schnitzeler, Dominic, Vacca, Valentina, Junklewitz, Henrik
Deriving the Faraday rotation measure (RM) of quasar absorption line systems, which are tracers of high-redshift galaxies intervening background quasars, is a powerful tool for probing magnetic fields in distant galaxies. Statistically comparing the
Externí odkaz:
http://arxiv.org/abs/1803.07896
Publikováno v:
2018 26th European Signal Processing Conference (EUSIPCO)
Data from radio interferometers provide a substantial challenge for statisticians. It is incomplete, noise-dominated and originates from a non-trivial measurement process. The signal is not only corrupted by imperfect measurement devices but also fro
Externí odkaz:
http://arxiv.org/abs/1803.02174
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
The standard imaging algorithm for interferometric radio data, CLEAN, is optimal for point source observations, but suboptimal for diffuse emission. Recently, RESOLVE, a new Bayesian algorithm has been developed, which is ideal for extended source im
Externí odkaz:
http://arxiv.org/abs/1605.04317
Autor:
Vacca, Valentina, Oppermann, Niels, Ensslin, Torsten, Selig, Marco, Junklewitz, Henrik, Greiner, Maksim, Jasche, Jens, Hales, Christopher, Reinecke, Martin, Carretti, Ettore, Feretti, Luigina, Ferrari, Chiara, Giovannini, Gabriele, Govoni, Federica, Horellou, Cathy, Ideguchi, Shinsuke, Johnston-Hollitt, Melanie, Murgia, Matteo, Paladino, Rosita, Pizzo, Roberto Francesco, Anna, Scaife
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 clusters, filaments) is crucial. We propose a new statistical approach to stu
Externí odkaz:
http://arxiv.org/abs/1501.00415
Autor:
Oppermann, Niels, Junklewitz, Henrik, Greiner, Maksim, Enßlin, Torsten A., Akahori, Takuya, Carretti, Ettore, Gaensler, Bryan M., Goobar, Ariel, Harvey-Smith, Lisa, Johnston-Hollitt, Melanie, Pratley, Luke, Schnitzeler, Dominic H. F. M., Stil, Jeroen M., Vacca, Valentina
Publikováno v:
A&A 575, A118 (2015)
(abridged) Observations of Faraday rotation for extragalactic sources probe magnetic fields both inside and outside the Milky Way. Building on our earlier estimate of the Galactic contribution, we set out to estimate the extragalactic contributions.
Externí odkaz:
http://arxiv.org/abs/1404.3701
Response calibration is the process of inferring how much the measured data depend on the signal one is interested in. It is essential for any quantitative signal estimation on the basis of the data. Here, we investigate self-calibration methods for
Externí odkaz:
http://arxiv.org/abs/1312.1349