Zobrazeno 1 - 10
of 236 985
pro vyhledávání: '"A, Larsen"'
Quantum many-body scars are energy eigenstates which fail to reproduce thermal expectation values of local observables in systems, where the rest of the many-body spectrum fulfils eigenstate thermalization. Experimental observation of quantum many-bo
Externí odkaz:
http://arxiv.org/abs/2410.14613
Autor:
Kirch, Anton, Park, So-Ra, Ràfols-Ribé, Joan, Kassel, Johannes A., Zhang, Xiaoying, Tang, Shi, Larsen, Christian, Edman, Ludvig
Light-emitting electrochemical cells (LECs) are promising candidates for fully solution-processed lighting applications because they can comprise a single active-material layer and air-stable electrodes. While their performance is often claimed to be
Externí odkaz:
http://arxiv.org/abs/2410.14465
EOSpython is a PyPI published Python package that encompass everything within a centralized earth observation satellite scheduling system in terms of customer database setup, scenario generation, pre-processing, problem setup, scheduling solution app
Externí odkaz:
http://arxiv.org/abs/2410.13462
Deep reinforcement learning has emerged as a powerful tool for obtaining high-performance policies. However, the safety of these policies has been a long-standing issue. One promising paradigm to guarantee safety is a shield, which shields a policy f
Externí odkaz:
http://arxiv.org/abs/2410.10460
Autor:
Cui, Kangning, Tang, Wei, Zhu, Rongkun, Wang, Manqi, Larsen, Gregory D., Pauca, Victor P., Alqahtani, Sarra, Yang, Fan, Segurado, David, Fine, Paul, Karubian, Jordan, Chan, Raymond H., Plemmons, Robert J., Morel, Jean-Michel, Silman, Miles R.
Understanding the spatial distribution of palms within tropical forests is essential for effective ecological monitoring, conservation strategies, and the sustainable integration of natural forest products into local and global supply chains. However
Externí odkaz:
http://arxiv.org/abs/2410.11124
Particle advection is one of the foundational algorithms for visualization and analysis and is central to understanding vector fields common to scientific simulations. Achieving efficient performance with large data in a distributed memory setting is
Externí odkaz:
http://arxiv.org/abs/2410.09710
Autor:
From, Jorge, Hernández-Bernal, Jorge, Moinelo, Alejandro Cardesin, Hueso, Ricardo, Ravanis, Eleni, Sierra, Abel Burgos, Wood, Simon, Sitja, Marc Costa, Escalante, Alfredo, Grotheer, Emmanuel, de la Parra, Julia Marin Yaseli, Merrit, Donald, Almeida, Miguel, Breitfellner, Michel, Sierra, Mar, Martin, Patrick, Titov, Dmitri, Wilson, Colin, Larsen, Ethan, Gaztelurrutia, Teresa del Rio, Lavega, Agustin Sanchez
The Visual Monitoring Camera (VMC) is a small imaging instrument onboard Mars Express with a field of view of ~40x30 degrees. The camera was initially intended to provide visual confirmation of the separation of the Beagle 2 lander and has similar te
Externí odkaz:
http://arxiv.org/abs/2410.02999
Union volume estimation is a classical algorithmic problem. Given a family of objects $O_1,\ldots,O_n \subseteq \mathbb{R}^d$, we want to approximate the volume of their union. In the special case where all objects are boxes (also known as hyperrecta
Externí odkaz:
http://arxiv.org/abs/2410.00996
Multi-distribution or collaborative learning involves learning a single predictor that works well across multiple data distributions, using samples from each during training. Recent research on multi-distribution learning, focusing on binary loss and
Externí odkaz:
http://arxiv.org/abs/2409.17567
Autor:
Bernabò, Lia Marta, Kanodia, Shubham, Canas, Caleb I., Cochran, William D., Csizmadia, Szilárd, Mahadevan, Suvrath, Stefánsson, Gudhmundur, Gupta, Arvind F., Monson, Andrew, Kobulnicky, Henry A., Larsen, Alexander K., Cotter, Ethan G., Birkholz, Alexina, Swaby, Tera N., Zeimann, Gregory, Bender, Chad F., Diddams, Scott A., Libby-Roberts, Jessica E., Lin, Andrea S. J., Ninan, Joe P., Rauer, Heike, Reji, Varghese, Robertson, Paul, Roy, Arpita, Schwab, Christian
We report on the discovery of a transiting giant planet around the 3500 K M3-dwarf star TOI-6383A located 172 pc from Earth. It was detected by the Transiting Exoplanet Survey Satellite (TESS) and confirmed by a combination of ground-based follow-up
Externí odkaz:
http://arxiv.org/abs/2409.16889