Zobrazeno 1 - 10
of 5 324
pro vyhledávání: '"P, Birk"'
Autor:
Katznelson, Shaul, Levy, Shai, Gorlach, Alexey, Regev, Nathan, Birk, Michael, Mechel, Chen, Tziperman, Offek, Schuetz, Roman, Strassberg, Rotem, Dosovitsky, Georgy, Roques-Carmes, Charles, Bekenstein, Yehonadav, Kaminer, Ido
Scintillation, the process of converting high-energy radiation to detectable visible light, is pivotal in advanced technologies spanning from medical diagnostics to fundamental scientific research. Despite significant advancements toward faster and m
Externí odkaz:
http://arxiv.org/abs/2412.21101
Autor:
Amram, Oz, Anzalone, Luca, Birk, Joschka, Faroughy, Darius A., Hallin, Anna, Kasieczka, Gregor, Krämer, Michael, Pang, Ian, Reyes-Gonzalez, Humberto, Shih, David
Foundation models are deep learning models pre-trained on large amounts of data which are capable of generalizing to multiple datasets and/or downstream tasks. This work demonstrates how data collected by the CMS experiment at the Large Hadron Collid
Externí odkaz:
http://arxiv.org/abs/2412.10504
Autor:
Chakraborty, Atasi, Hellenes, Anna Birk, Jaeschke-Ubiergo, Rodrigo, Jungwirth, Tomas, Šmejkal, Libor, Sinova, Jairo
The origin and efficiency of charge-to-spin conversion, known as the Edelstein effect (EE), has been typically linked to spin-orbit coupling mechanisms, which require materials with heavy elements within a non-centrosymmetric environment. Here we dem
Externí odkaz:
http://arxiv.org/abs/2411.16378
Autor:
Sarabia, Rafael Pablos, Nyborg, Joachim, Birk, Morten, Sjørup, Jeppe Liborius, Vesterholt, Anders Lillevang, Assent, Ira
Precipitation nowcasting is crucial across various industries and plays a significant role in mitigating and adapting to climate change. We introduce an efficient deep learning model for precipitation nowcasting, capable of predicting rainfall up to
Externí odkaz:
http://arxiv.org/abs/2410.08641
Autor:
Birk, Andreas
We introduce SmileyNet, a novel neural network with psychic abilities. It is inspired by the fact that a positive mood can lead to improved cognitive capabilities including classification tasks. The network is hence presented in a first phase with sm
Externí odkaz:
http://arxiv.org/abs/2407.21385
Autor:
Smee, Stephen A., Hope, Stephen C., Hammond, Randolph P., Aslan, Leon, Barkhouser, Robert H., Smee, Katherine G., Bianco, Andrea, Birk, Christoph, Cosens, Maren, Gray, Aidan C., Frangiamore, Michele, Harding, Albert C., Hare, Tyson, Kelson, Daniel D., Killion, Gerrad, Konidaris II, Nicholas P., Lanz, Alicia, McCloskey, Jacob, Newman, Andrew B., Ramirez, Solange, Rudie, Gwen C., Vanella, Andrea, Williams, Jason E.
Publikováno v:
Proc. SPIE, Technologies for Vacuum and Cryogenic Instruments I, Paper No. 13100-107 (June 2024)
This paper presents the design and technical progress of a precision X-Y stage for detector dithering and flexure compensation. The stage is being developed for use in the Magellan InfraRed Multi-Object Spectrograph, MIRMOS. MIRMOS is a very large Na
Externí odkaz:
http://arxiv.org/abs/2407.14493
Autor:
Cosens, Maren, Konidaris II, Nicholas P., Rudie, Gwen C., Newman, Andrew B., Killion, Gerrad, Aslan, Leon, Barkhouser, Robert, Bianco, Andrea, Birk, Christoph, Brady, Julia, Frangiamore, Michele, Hare, Tyson, Hope, Stephen C., Kelson, Daniel D., Lanz, Alicia, Ramirez, Solange, Smee, Stephen A., Vanella, Andrea, Williams, Jason E.
Publikováno v:
Proc. SPIE, Ground-based and Airborne Instrumentation for Astronomy X, Paper No. 13096-321 (June 2024)
The Magellan InfraRed Multi-Object Spectrograph (MIRMOS) is a planned next generation multi-object and integral field spectrograph for the 6.5m Magellan telescopes at Las Campanas Observatory in Chile. MIRMOS will perform R$\sim$3700 spectroscopy ove
Externí odkaz:
http://arxiv.org/abs/2407.13747
Autor:
Mahler, Lucas, Steiglechner, Julius, Bender, Benjamin, Lindig, Tobias, Ramadan, Dana, Bause, Jonas, Birk, Florian, Heule, Rahel, Charyasz, Edyta, Erb, Michael, Kumar, Vinod Jangir, Hagberg, Gisela E, Martin, Pascal, Lohmann, Gabriele, Scheffler, Klaus
The UltraCortex repository (https://www.ultracortex.org) houses magnetic resonance imaging data of the human brain obtained at an ultra-high field strength of 9.4 T. It contains 86 structural MR images with spatial resolutions ranging from 0.6 to 0.8
Externí odkaz:
http://arxiv.org/abs/2406.18571
Autor:
Du, Jingshan S., Banik, Suvo, Chan, Henry, Fritsch, Birk, Xia, Ying, Karakoti, Ajay S., Hutzler, Andreas, Sankaranarayanan, Subramanian K. R. S., De Yoreo, James J.
Despite the ubiquity of ice, a molecular-resolution image of ice crystallized from liquid water or the resulting defect structure has never been obtained. Here, we report the stabilization and angstrom-resolution electron imaging of ice Ih crystalliz
Externí odkaz:
http://arxiv.org/abs/2406.00915
Autor:
Alexandrovsky, Dmitry, Gerling, Kathrin, Opp, Merlin Steven, Hahn, Christopher Benjamin, Birk, Max V., Alsheail, Meshaiel
The games research community has developed substantial knowledge on designing engaging experiences that draw players in. Surprisingly, less is known about player \textit{dis}engagement, with existing work predominantly addressing disengagement from t
Externí odkaz:
http://arxiv.org/abs/2406.00189