2024-04-16 15:54 |
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2024-04-16 15:49 |
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2024-04-08 11:55 |
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2024-03-28 16:50 |
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2024-01-12 12:31 |
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2023-11-07 17:09 |
[FZJ-2023-04359]
Book/Proceedings
Shankar, R. ; Lenisa, P. ; Lehrach, A.
Optimization of spin-coherence time for electric dipole moment measurements
202319th Workshop on Polarized Sources, Targets and Polarimetry, PSTP2022, MainzMainz, Germany, 26 Sep 2022 - 30 Sep 20222022-09-262022-09-30
Sissa Medialab Trieste, Italy, Proceedings of Science (PoS) PSTP2022, (2023) [10.22323/1.433.0024]2023
The JEDI experiment is dedicated to the search for the electric dipole moment (EDM) of charged particles using storage rings, which can be a very sensitive probe of physics beyond the Standard Model. In order to reach the highest possible sensitivity, a fundamental parameter to be optimized is the Spin Coherence Time (SCT), i.e., the time interval within which the particles of the stored beam maintain a net polarization greater than 1/e. [...]
OpenAccess: PDF;
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2023-10-13 15:13 |
[FZJ-2023-03873]
Proceedings
Lohoff, J. ; Yu, Z. ; Finkbeiner, J. R. ; et al
Interfacing Neuromorphic Hardware with Machine Learning Frameworks - A Review
2023International Conference on Neuromorphic Systems, ICONS, Santa FeSanta Fe, USA, 3 Aug 2023 - 5 Aug 20232023-08-032023-08-05
ACM New York, NY, USA (2023) [10.1145/3589737.3605967]2023
With the emergence of neuromorphic hardware as a promising low-power parallel computing platform, the need for tools that allowresearchers and engineers to efficiently interact with such hardwareis rapidly growing. Machine learning frameworks like Tensorflow,PyTorch and JAX have been instrumental for the success of machinelearning in recent years as they enable seamless interaction withtraditional machine learning accelerators such as GPUs and TPUs.In stark contrast, interfacing with neuromorphic hardware remainsdifficult since the aforementioned frameworks do not address thechallenges associated with mapping neural network models and al-gorithms to physical hardware. [...]
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2023-09-15 14:00 |
[FZJ-2023-03521]
Book/Proceedings
Brückel, T. ; Förster, S. ; Friese, K. ; et al
Laboratory Course Neutron Scattering: Experimental Manuals
2023JCNS Neutron Laboratory Course, Forschungszentrum Jülich, JCNSForschungszentrum Jülich, JCNS, Germany,
Jülich : Forschungszentrum Jülich GmbH, Schlüsseltechnologien / Key Technologies 271, 150 p. (2023)2023
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2023-09-05 12:30 |
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2023-07-24 11:20 |
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