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TU3B1 |
Machine Learning Applications for Performance Improvement and Developing Future Storage Ring Light Sources |
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- S.C. Leemann
LBNL, Berkeley, USA
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Funding: This research is funded by the US Department of Energy (BES & ASCR Programs), and supported by the Director of the Office of Science of the US Department of Energy under Contract No. DEAC02-05CH11231.
This presentation will focus on two recent applications of Machine Learning (ML) to storage ring-based synchrotron light sources. The first example highlights improvement of storage ring performance by use of ML to stabilize the electron beam size at the source points against perturbations from insertion device (ID) motion*. The stability of the source size is improved by roughly one order of magnitude through a neural network-based feed-forward that compensates, in a model-independent manner, for ID-induced source size changes before they can occur. In the second example, ML is used to replace many-turn particle tracking in multi-objective genetic algorithms (MOGA) for the design of lattices for demanding future storage rings**. By training neural networks to give accurate predictions of nonlinear lattice properties such as dynamic aperture and momentum aperture, the overall MOGA optimization process an be substantially accelerated. Including overhead from training and iterative retraining, MOGA optimization can be accelerated through ML by up to two orders of magnitude, thereby dropping overall optimization campaign runtime even on large clusters from weeks to just hours.
* Phys. Rev. Lett. 123, 194801 (2019), https://doi.org/10.1103/PhysRevLett.123.194801
** Nucl. Instrum. Methods Phys. Res., A 1050, 168192 (2023), https://doi.org/10.1016/j.nima.2023.168192
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Slides TU3B1 [35.589 MB]
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TU3B2 |
Recent Developments of the Toolkit for Simulated Commissioning |
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- T. Hellert
LBNL, Berkeley, California, USA
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Detailed commissioning simulations have become the main tool of error analysis during lattice design of 4th generation storage ring light sources in recent years. The Matlab based Toolkit for Simulated Commissioning provides a high fidelity error model and a user friendly interface and is currently used at several facilities around the world. This contribution will present the toolkit with the highlight on recent developments such as the integration into the ALS control system for automated startup procedures and the transcription into python, enabling large scale parallelization.
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Slides TU3B2 [45.870 MB]
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| TU3B3 |
Pyapas: A New Framework for High Level Application Development at HEPS |
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- X.H. Lu
IHEP CSNS, Guangdong Province, People’s Republic of China
- D. Ji, H.F. Ji, Y. Jiao, J.Y. Li, N. Li, C. Meng, Y.M. Peng, J. Wan, Y. Wei, G. Xu, H.S. Xu, Y.L. Zhao
IHEP, Beijing, People’s Republic of China
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The development of high-level application (HLA) is an indispensable part of the light source construction process. With the increase in the scale and complexity of accelerators, the development of HLA will also face many new challenges, such as increased data volume, multiple data types, more parameter channels, and more complex tuning algorithms. So a new framework named Pyapas has been designed for HLA development which aims to provide a high-performance, scalable, flexible, and reliable HLA development framework to meet the needs of large-scale parameter tuning and data processing. Pyapas is designed with a modular concept, decomposing the development needs of HLA into different modules for decoupled development, and calling them through simple interfaces. In the communication module, a singleton factory class is designed to avoid duplicate creation of channel connections, and combined with Qt’s signal-slot mechanism to create non-blocking communication connections, greatly improving the carrying capacity of parameter scale. While a deeply decoupled two-layer physical model module is designed to quickly switch different mathematical models to meet different online computing needs. Moreover, the design of the C/S architecture development module and the rapid creation and management module of the database is helpful for quickly developing complex programs, further enhancing the applicability of Pyapas. This paper will introduce the main feature of Pyapas
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Slides TU3B3 [6.913 MB]
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-FLS2023-TU3B3
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Received ※ 30 August 2023 — Revised ※ 31 August 2023 — Accepted ※ 01 September 2023 — Issued ※ 02 December 2023 |
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TU3B4 |
Use of Automated Commissioning Simulations for Error Tolerance Evaluation for the Advanced Photon Source Upgrade |
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- V. Sajaev, M. Borland
ANL, Lemont, Illinois, USA
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Funding: Work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357.
Multi-bend achromat-based light source designs are known to have rather strong focusing and rather small vacuum chambers, which pretty much guarantees difficult commissioning. To ensure the Advanced Photon Source Upgrade* commissioning is possible, the automated commissioning simulations were developed**. The simulations start from trajectory correction in the transport line, go through first-turn correction, trajectory and orbit correction, and complete with lattice and coupling correction. In addition to ensuring smooth commissioning, these simulations proved very useful in evaluating error tolerances under the most realistic conditions. In some cases, this approach allows for significant relaxation of the tolerances. We will describe APS-U automated commissioning simulations and give examples of error tolerance evaluations.
*M. Borland et al., "The Upgrade of the Advanced Photon Source", in Proc. IPAC’18, Vancouver, Canada, Apr.-May 2018, pp. 2872-2877
**V.Sajaev, "Commissioning simulations for the aps upgrade lattice," Phys. Rev. Accel. Beams, vol. 22, p. 040102, 2019
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Slides TU3B4 [5.581 MB]
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