Zobrazeno 1 - 10
of 324
pro vyhledávání: '"A Mochihashi"'
Autor:
Scomparin, Luca, Caselle, Michele, Garcia, Andrea Santamaria, Xu, Chenran, Blomley, Edmund, Dritschler, Timo, Mochihashi, Akira, Schuh, Marcel, Steinmann, Johannes L., Bründermann, Erik, Kopmann, Andreas, Becker, Jürgen, Müller, Anke-Susanne, Weber, Marc
The commissioning and operation of future large-scale scientific experiments will challenge current tuning and control methods. Reinforcement learning (RL) algorithms are a promising solution thanks to their capability of autonomously tackling a cont
Externí odkaz:
http://arxiv.org/abs/2409.16177
We develop a new stochastic process called spatially-dependent Indian buffet processes (SIBP) for spatially correlated binary matrices and propose general spatial factor models for various multivariate response variables. We introduce spatial depende
Externí odkaz:
http://arxiv.org/abs/2409.01943
Autor:
Maier, Sebastian, Brosi, Miriam, Mochihashi, Akira, Nasse, Michael J., Schwarz, Markus, Müller, Anke-Susanne
In the case of single-digit picosecond bunch length, synchrotron light sources produce intense coherent radiation up to the THz range. The reduction of the bunch length by lowering the momentum compaction factor (low-$\alpha$) gives rise to the micro
Externí odkaz:
http://arxiv.org/abs/2407.05828
Autor:
Koki Mimura, Jumpei Matsumoto, Daichi Mochihashi, Tomoaki Nakamura, Hisao Nishijo, Makoto Higuchi, Toshiyuki Hirabayashi, Takafumi Minamimoto
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract Nonhuman primates (NHPs) exhibit complex and diverse behavior that typifies advanced cognitive function and social communication, but quantitative and systematical measure of this natural nonverbal processing has been a technical challenge.
Externí odkaz:
https://doaj.org/article/6093c6dd9364430580057493bfddded4
Autor:
Xu, Chenran, Boltz, Tobias, Mochihashi, Akira, Garcia, Andrea Santamaria, Schuh, Marcel, Müller, Anke-Susanne
Publikováno v:
Phys.Rev.Accel.Beams 26 (2023) 3, 034601
We have evaluated the data-efficient Bayesian optimization method for the specific task of injection tuning in a circular accelerator. In this paper, we describe the implementation of this method at the Karlsruhe Research Accelerator with up to nine
Externí odkaz:
http://arxiv.org/abs/2211.09504
Autor:
David R. Batchelor, Edmund Blomley, Erhard Huttel, Michael Hagelstein, Akira Mochihashi, Marcel Schuh, Rolf Simon
Publikováno v:
Journal of Synchrotron Radiation, Vol 31, Iss 3, Pp 590-595 (2024)
To characterize an electron beam, visible synchrotron light is often used and dedicated beamlines at synchrotron sources are becoming a more common feature as instruments and methods for the diagnostics are, along with the accelerators, further devel
Externí odkaz:
https://doaj.org/article/510a16939d584761b8c4f54ff1d05dd9
Publikováno v:
Physical Review Accelerators and Beams, Vol 27, Iss 11, p 112803 (2024)
In the case of a single-digit picosecond bunch length, synchrotron light sources produce intense coherent radiation up to the THz range. The reduction of the bunch length by lowering the momentum compaction factor (low-α) gives rise to the microbunc
Externí odkaz:
https://doaj.org/article/741b03885e97475ead73f5b95635757a
Autor:
Mochihashi, Akira, Maier, Sebastian, Blomley, Edmund, Schuh, Marcel, Huttel, Erhard, Boltz, Tobias, Kehrer, Benjamin, Müller, Anke-Susanne, Teytelman, Dmitry
In electron storage rings, it is possible to increase the electron bunch length by applying a phase modulation on the radio frequency accelerating field by choosing appropriate parameters for the modulation. Such a bunch lengthening effect improves b
Externí odkaz:
http://arxiv.org/abs/2111.15555
Autor:
Mochihashi, Daichi
Slice sampling is an efficient Markov Chain Monte Carlo algorithm to sample from an unnormalized density with acceptance ratio always $1$. However, when the variable to sample is unbounded, its "stepping-out" heuristic works only locally, making it d
Externí odkaz:
http://arxiv.org/abs/2010.01760
Long Short-Term Memory recurrent neural network (LSTM) is widely used and known to capture informative long-term syntactic dependencies. However, how such information are reflected in its internal vectors for natural text has not yet been sufficientl
Externí odkaz:
http://arxiv.org/abs/2010.00363