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Martin Farkas, Benedikt Bergmann, Pavel Broulim, Petr Burian, Giovanni Ambrosi, Philipp Azzarello, Luká? Pu?man, Mateusz Sitarz, Petr Smolyanskiy, Daniil Sukhonos and Xin Wu
We present the characterization of a highly segmented ?large area? hybrid pixel detector (Timepix3, 512 × 512 pixels, pixel pitch 55 µm) for application in space experiments. We demonstrate that the nominal power consumption of 6 W can be reduced by chan...
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Ashish Bisht, Leo Cavazzini, Matteo Centis Vignali, Fabiola Caso, Omar Hammad Ali, Francesco Ficorella, Maurizio Boscardin and Giovanni Paternoster
This work explores the possibility of using Low Gain Avalanche Diodes (LGADs) for tracker-based experiments studying Charged Cosmic Rays (CCRs) in space. While conventional silicon microstrip sensors provide only spatial information about the charged par...
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Jiaming Bian, Ye Liu and Jun Chen
In recent times, remote sensing image super-resolution reconstruction technology based on deep learning has experienced rapid development. However, most algorithms in this domain concentrate solely on enhancing the super-resolution network?s performance ...
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Jiexin Xu, Shaomin Chen, Yankun Gong, Zhiwu Chen, Shuqun Cai and Daning Li
Internal solitary waves (ISWs) are large-amplitude internal waves which would destroy underwater engineering. Finding an easy way to discriminate ISWs from field observational data is crucial. Two time--series datasets, one contained ISWs and another onl...
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Jason Cornelius, Sven Schmitz, Jose Palacios, Bernadine Juliano and Richard Heisler
This work details the development and validation of a methodology for high-resolution rotor models used in hybrid Blade Element Momentum Theory Unsteady Reynolds Averaged Navier?Stokes (BEMT-URANS) CFD. The methodology is shown to accurately predict sing...
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