Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Hanuka, Adi"'
Autor:
Lavin, Alexander, Krakauer, David, Zenil, Hector, Gottschlich, Justin, Mattson, Tim, Brehmer, Johann, Anandkumar, Anima, Choudry, Sanjay, Rocki, Kamil, Baydin, Atılım Güneş, Prunkl, Carina, Paige, Brooks, Isayev, Olexandr, Peterson, Erik, McMahon, Peter L., Macke, Jakob, Cranmer, Kyle, Zhang, Jiaxin, Wainwright, Haruko, Hanuka, Adi, Veloso, Manuela, Assefa, Samuel, Zheng, Stephan, Pfeffer, Avi
The original "Seven Motifs" set forth a roadmap of essential methods for the field of scientific computing, where a motif is an algorithmic method that captures a pattern of computation and data movement. We present the "Nine Motifs of Simulation Int
Externí odkaz:
http://arxiv.org/abs/2112.03235
Virtual Diagnostic (VD) is a deep learning tool that can be used to predict a diagnostic output. VDs are especially useful in systems where measuring the output is invasive, limited, costly or runs the risk of damaging the output. Given a prediction,
Externí odkaz:
http://arxiv.org/abs/2107.14261
Autor:
Roussel, Ryan, Gonzalez-Aguilera, Juan Pablo, Kim, Young-Kee, Wisniewski, Eric, Liu, Wanming, Piot, Philippe, Power, John, Hanuka, Adi, Edelen, Auralee
Particle accelerators are invaluable discovery engines in the chemical, biological and physical sciences. Characterization of the accelerated beam response to accelerator input parameters is of-ten the first step when conducting accelerator-based exp
Externí odkaz:
http://arxiv.org/abs/2106.09202
Virtual Diagnostic (VD) is a computational tool based on deep learning that can be used to predict a diagnostic output. VDs are especially useful in systems where measuring the output is invasive, limited, costly or runs the risk of altering the outp
Externí odkaz:
http://arxiv.org/abs/2105.04654
Particle accelerators require constant tuning during operation to meet beam quality, total charge and particle energy requirements for use in a wide variety of physics, chemistry and biology experiments. Maximizing the performance of an accelerator f
Externí odkaz:
http://arxiv.org/abs/2010.09824
Autor:
Hanuka, Adi, Huang, X., Shtalenkova, J., Kennedy, D., Edelen, A., Lalchand, V. R., Ratner, D., Duris, J.
Publikováno v:
Phys. Rev. Accel. Beams 24, 072802 (2021)
High-dimensional optimization is a critical challenge for operating large-scale scientific facilities. We apply a physics-informed Gaussian process (GP) optimizer to tune a complex system by conducting efficient global search. Typical GP models learn
Externí odkaz:
http://arxiv.org/abs/2009.03566
Autor:
Duris, Joseph, Kennedy, Dylan, Hanuka, Adi, Shtalenkova, Jane, Edelen, Auralee, Egger, Adam, Cope, Tyler, Ratner, Daniel
Publikováno v:
Phys. Rev. Lett. 124, 124801 (2020)
The Linac Coherent Light Source changes configurations multiple times per day, necessitating fast tuning strategies to reduce setup time for successive experiments. To this end, we employ a Bayesian approach to transport optics tuning to optimize gro
Externí odkaz:
http://arxiv.org/abs/1909.05963
Autor:
Hanuka, Adi, Schächter, Levi
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A 21 April 2018 888:147-152
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