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- Centre National de la Recherche ScientifiqueFR45 papers
- Max Planck Institute for AstrophysicsDE34 papers
- Leiden UniversityNL33 papers
- University of MonsBE31 papers
- Leiden Observatory30 papers
- Universität HamburgDE30 papers
- National Institute for AstrophysicsIT28 papers
- University of BremenDE28 papers
- Pohang University of Science and TechnologyKR26 papers
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- Thüringer Landessternwarte TautenburgDE23 papers
- Center for Astrophysics Harvard & SmithsonianUS22 papers
733 papers
Was Schrödinger ever a determinist?
Flavio Del Santo, Nicolas Gisin
Erwin Schrödinger is often portrayed as a reactionary who resisted the indeterminism introduced by quantum mechanics, but on closer inspection his views on determinism prove to be…
Kinematics and physical structure of Ou 5: A bipolar planetary nebula with extreme abundance discrepancy and an eclipsing binary core
William J. Henney, J. A. López, Ma. T. García-Díaz +5
We present new deep imaging and high-resolution spectroscopy of the extreme-abundance-discrepancy planetary nebula Ou 5, together with photoionization modelling aimed at probing it…
Mutual Coupling in Continuous Aperture Arrays: Physical Modeling and Beamforming Design
Zhaolin Wang, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu +1
The phenomenon of mutual coupling in continuous aperture arrays (CAPAs) is studied. First, a general physical model for the phenomenon that accounts for both polarization and surfa…
Multidisciplinary analysis of pit craters at Hale Crater, Mars
Mara Mantegazza, Mauro G. Spagnuolo, Angelo P. Rossi
Pit craters are circular to subcircular depressions that lack a rim and ejecta layer and typically have a conical shape. There are several mechanisms that can explain the formation…
Affine Frequency Division Multiplexing (AFDM) for 6G: Properties, Features, and Challenges
Hyeon Seok Rou, Kuranage Roche Rayan Ranasinghe, Vincent Savaux +3
Affine frequency division multiplexing (AFDM) is an emerging waveform candidate for future sixth generation (6G) systems offering a range of promising features, such as enhanced ro…
Adaptive Destruction Processes for Diffusion Samplers
Timofei Gritsaev, Nikita Morozov, Kirill Tamogashev +5
This paper explores the challenges and benefits of a trainable destruction process in diffusion samplers -- diffusion-based generative models trained to sample an unnormalised dens…