Zobrazeno 1 - 10
of 5 088
pro vyhledávání: '"Røhr, P."'
Autor:
Wolski, D., Cederkäll, J., Pausch, G., Moszynski, M., Schubart, R., Rohr, P., Lampert, M.-O., Grawe, H., Klamra, W., Seidel, W.
Publikováno v:
Forschungszentrum Rossendorf; FZR-157 Preprint
Limitations of the pulse-shape discrimination (PSD) technique - a promising method to identify the charged particIes stopped in planar Si-detectors - have been investigated. The particle resolution turned out to be basically determined by resistivity
Externí odkaz:
https://hzdr.qucosa.de/id/qucosa%3A21964
https://hzdr.qucosa.de/api/qucosa%3A21964/attachment/ATT-0/
https://hzdr.qucosa.de/api/qucosa%3A21964/attachment/ATT-0/
Autor:
Islam, S. S., Sazgari, V., Witteveen, C., Graham, J. N., Gerguri, O., Král, P., Bartkowiak, M., Luetkens, H., Khasanov, R., von Rohr, F. O., Guguchia, Z.
Gaining a deeper understanding of the interplay between charge density wave (CDW) order and superconductivity in transition metal dichalcogenides (TMDs), particularly within the (4H/2H)-NbX$_{2}$ (X=Se,S) family, remains an open and intriguing challe
Externí odkaz:
http://arxiv.org/abs/2412.14381
Autor:
Ronchetti, Federico, Akishina, Valentina, Andreassen, Edvard, Bluhme, Nora, Dange, Gautam, de Cuveland, Jan, Erba, Giada, Gaur, Hari, Hutter, Dirk, Kozlov, Grigory, Krčál, Luboš, La Pointe, Sarah, Lehrbach, Johannes, Lindenstruth, Volker, Neskovic, Gvozden, Redelbach, Andreas, Rohr, David, Weiglhofer, Felix, Wilhelmi, Alexander
Due to the increase of data volumes expected for the LHC Run 3 and Run 4, the ALICE Collaboration designed and deployed a new, energy efficient, computing model to run Online and Offline O$^2$ data processing within a single software framework. The A
Externí odkaz:
http://arxiv.org/abs/2412.13755
Autor:
Walicka, Dorota I., Blacque, Olivier, Gornicka, Karolina, White, Jonathan S., Klimczuk, Tomasz, von Rohr, Fabian O.
The magnetic properties of EuAlSi, a compound comprising a honeycomb lattice of Al and Si atoms and a triangular lattice of Eu atoms, are presented. Moreover, we have prepared the Eu1-xSrxAlSi solid solution, to study the evolution of the collective
Externí odkaz:
http://arxiv.org/abs/2412.12795
Diffusion models have recently gained popularity for policy learning in robotics due to their ability to capture high-dimensional and multimodal distributions. However, diffusion policies are inherently stochastic and typically trained offline, limit
Externí odkaz:
http://arxiv.org/abs/2412.09342
Autor:
Ma, KeYuan, Plokhikh, I., Graham, J. N., Mielke III, C., Sazgari, V., Nakamura, H., Islam, S. S., Shin, S., Kral, P., Gerguri, O., Luetkens, H., von Rohr, F. O., Yin, J. -X., Pomjakushina, E., Felser, C., Nakatsuji, S., Wehinger, B., Gawryluk, D. J., Medvedev, S., Guguchia, Z.
The interplay between superconductivity and charge order is a central focus in condensed matter research, with kagome lattice systems offering unique insights. The kagome superconductor LaRu$_{3}$Si$_{2}$ ($T_{\rm c}$ ${\simeq}$ 6.5 K) exhibits a hie
Externí odkaz:
http://arxiv.org/abs/2412.05459
Autor:
Straub, M., Petocchi, F., Witteveen, C., Kugler, F. B., Hunter, A., Alexanian, Y., Gatti, G., Mandloi, S., Polley, C., Carbone, G., Osiecki, J., von Rohr, F. O., Georges, A., Baumberger, F., Tamai, A.
We study the electronic structure of bulk 1T-TaSe$_2$ in the charge density wave phase at low temperature. Our spatially and angle resolved photoemission (ARPES) data show insulating areas coexisting with metallic regions characterized by a chiral Fe
Externí odkaz:
http://arxiv.org/abs/2411.18205
Publikováno v:
von Rohr, Alexander, Stenger, David, Scheurenberg, Dominik and Trimpe, Sebastian. "Local Bayesian optimization for controller tuning with crash constraints" at - Automatisierungstechnik, vol. 72, no. 4, 2024, pp. 281-292
Controller tuning is crucial for closed-loop performance but often involves manual adjustments. Although Bayesian optimization (BO) has been established as a data-efficient method for automated tuning, applying it to large and high-dimensional search
Externí odkaz:
http://arxiv.org/abs/2411.16267
How can robots learn and adapt to new tasks and situations with little data? Systematic exploration and simulation are crucial tools for efficient robot learning. We present a novel black-box policy search algorithm focused on data-efficient policy i
Externí odkaz:
http://arxiv.org/abs/2411.14246
Autor:
Rohr, Maurice, Dill, Sebastian
Depth cameras are an interesting modality for capturing vital signs such as respiratory rate. Plenty approaches exist to extract vital signs in a controlled setting, but in order to apply them more flexibly for example in multi-camera settings, a sim
Externí odkaz:
http://arxiv.org/abs/2411.10081