Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Steffen Bähr"'
Autor:
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Shen Wang, Thomas K. Warburton
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Externí odkaz:
https://doaj.org/article/fb1f7518123f425abdb4bab7ccb196f6
Autor:
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Shen Wang, Thomas K. Warburton
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science—the concept of integrating powerful ML methods into the real-time experimental data processing loop to accelerate scientific discovery
Externí odkaz:
https://doaj.org/article/9e1a26011d554b649834394385e92870
Autor:
Kai Lukas Unger, Steffen Bähr, Jürgen Becker, Alois C. Knoll, Christian Kiesling, Felix Meggendorfer, Sebastian Skambraks
Publikováno v:
Journal of Physics: Conference Series, 2438, Article no: 012056
To reduce the background the z-Vertex Track Trigger estimates the collision origin in the Belle II experiment using neural networks. The main part is a pre-trained multilayer perceptron. The task of this perceptron is to estimate the z-vertex of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b47abb5cada4d8a109981f8d09055ff6
The Belle II experiment relies on an online level 1 trigger system to reduce the background and achieve the targeted frequency of 30 kHz. Here the basis for all trigger decisions based on data from the Central Drift Camber is the track segment findin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::767edd2f56e1fd8956fd901b34103bc6
https://publikationen.bibliothek.kit.edu/1000119265
https://publikationen.bibliothek.kit.edu/1000119265
Autor:
S. Skambraks, Felix Meggendorfer, Jürgen Becker, C. Kiesling, Sara McCarney, Steffen Bähr, K. Unger, Raynette Van Tonder
Publikováno v:
Journal of physics / Conference series, 1525 (1), Art. Nr.: 012102
Machine learning methods are integrated into the pipelined first level (L1) track trigger of the upgraded flavor physics experiment Belle II at KEK in Tsukuba, Japan. The novel triggering techniques cope with the severe background from events outside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea8eb053e7be8904f138aeeb4ce214c3
https://publikationen.bibliothek.kit.edu/1000123019/87319219
https://publikationen.bibliothek.kit.edu/1000123019/87319219
Autor:
H. Hayashii, Pere Rados, T. J. Moon, F. Meggendorfer, S. Skambraks, P. C. Lu, H. K. Moon, K. Unger, J. G. Shiu, H. Bae, T. Koga, C. Kiesling, T. A. Sheng, H. Nakazawa, M. C. Chang, Y. Iwasaki, Steffen Bähr, K. T. Kim, Junho Kim, J. Yin, M. Aoyama, S.-M. Liu, Chunjie Wang, Y. Sue, Y. T. Lai, E. Won, A. Rostomyan
Publikováno v:
Journal of Instrumentation. 15:C06063-C06063
Publikováno v:
Applied Reconfigurable Computing. Architectures, Tools, and Applications ISBN: 9783319788890
ARC
ARC
Recently proposed quantum systems use frequency multiplexed qubit technology for readout electronics rather than analog circuitry, to increase cost effectiveness of the system. In order to restore individual channels for further processing, these sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b529bb43e9f3baadec0a032b9602b1ae
https://doi.org/10.1007/978-3-319-78890-6_49
https://doi.org/10.1007/978-3-319-78890-6_49
Autor:
Fei Wang, Kejiang Liang, Mads Christian Larsen, Steffen Bähring, Masatoshi Ishida, Hiroyuki Furuta, Atanu Jana
Publikováno v:
Molecules, Vol 26, Iss 6, p 1771 (2021)
We report a fully organic pyridine-tetrapyrrolic U-shaped acyclic receptor 10, which prefers a supramolecular pseudo-macrocyclic dimeric structure (10)2 in a less polar, non-coordinating solvent (e.g., CHCl3). Conversely, when it is crystalized from
Externí odkaz:
https://doaj.org/article/e36b6cca3325449d8d47d63d9ec5d486
Autor:
Chiara Bacchella, James T. Brewster, Steffen Bähring, Simone Dell’Acqua, Harrison D. Root, Gregory D. Thiabaud, James F. Reuther, Enrico Monzani, Jonathan L. Sessler, Luigi Casella
Publikováno v:
Molecules, Vol 25, Iss 21, p 5044 (2020)
The peroxidase activity of hemin-peptide complexes remains a potential factor in oxidative damage relevant to neurodegeneration. Here, we present the effect of temperature, ionic strength, and pH relevant to pathophysiological conditions on the dynam
Externí odkaz:
https://doaj.org/article/33fc3ebe28194fffa7663bf54a5c8cb0