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Karaca AS, Bostanci E, Ketenoglu D, Harder M, Canbay AC, Ketenoglu B, Eren E, Aydin A, Yin Z, Guzel MS, Martins M. Optimization of synchrotron radiation parameters using swarm intelligence and evolutionary algorithms. J Synchrotron Radiat 2024; 31:420-429. [PMID: 38386563 PMCID: PMC10914178 DOI: 10.1107/s1600577524000717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 01/19/2024] [Indexed: 02/24/2024]
Abstract
Alignment of each optical element at a synchrotron beamline takes days, even weeks, for each experiment costing valuable beam time. Evolutionary algorithms (EAs), efficient heuristic search methods based on Darwinian evolution, can be utilized for multi-objective optimization problems in different application areas. In this study, the flux and spot size of a synchrotron beam are optimized for two different experimental setups including optical elements such as lenses and mirrors. Calculations were carried out with the X-ray Tracer beamline simulator using swarm intelligence (SI) algorithms and for comparison the same setups were optimized with EAs. The EAs and SI algorithms used in this study for two different experimental setups are the Genetic Algorithm (GA), Non-dominated Sorting Genetic Algorithm II (NSGA-II), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC). While one of the algorithms optimizes the lens position, the other focuses on optimizing the focal distances of Kirkpatrick-Baez mirrors. First, mono-objective evolutionary algorithms were used and the spot size or flux values checked separately. After comparison of mono-objective algorithms, the multi-objective evolutionary algorithm NSGA-II was run for both objectives - minimum spot size and maximum flux. Every algorithm configuration was run several times for Monte Carlo simulations since these processes generate random solutions and the simulator also produces solutions that are stochastic. The results show that the PSO algorithm gives the best values over all setups.
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Affiliation(s)
- Adnan Sahin Karaca
- Department of Computer Engineering, Ankara University, 06830 Ankara, Türkiye
| | - Erkan Bostanci
- Department of Computer Engineering, Ankara University, 06830 Ankara, Türkiye
| | - Didem Ketenoglu
- Department of Engineering Physics, Ankara University, 06100 Ankara, Türkiye
| | - Manuel Harder
- European XFEL GmbH, Schenefeld, Germany
- Department of Physics, Hamburg University, 22761 Hamburg, Germany
| | - Ali Can Canbay
- Department of Physics, Ankara University, 06830 Ankara, Türkiye
| | - Bora Ketenoglu
- Department of Engineering Physics, Ankara University, 06100 Ankara, Türkiye
| | - Engin Eren
- Deutsches Elektronen-Synchrotron (DESY), 22607 Hamburg, Germany
| | - Ayhan Aydin
- Department of Computer Engineering, Ankara University, 06830 Ankara, Türkiye
| | - Zhong Yin
- International Center for Synchrotron Radiation Innovation Smart (SRIS), Tohoku University, Sendai 980-8577, Japan
| | - Mehmet Serdar Guzel
- Department of Computer Engineering, Ankara University, 06830 Ankara, Türkiye
| | - Michael Martins
- Institute of Experimental Physics, Hamburg University, 22607 Hamburg, Germany
- Center for Free-Electron Laser Science (CFEL), 22607 Hamburg, Germany
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Stone KH, Cosby MR, Strange NA, Thampy V, Walroth RC, Troxel Jr C. Remote and automated high-throughput powder diffraction measurements enabled by a robotic sample changer at SSRL beamline 2-1. J Appl Crystallogr 2023; 56:1480-1484. [PMID: 37791352 PMCID: PMC10543666 DOI: 10.1107/s1600576723007148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/14/2023] [Indexed: 10/05/2023] Open
Abstract
The general-purpose powder diffractometer beamline (BL2-1) at the Stanford Synchrotron Radiation Lightsource (SSRL) is described. The evolution of design and performance of BL2-1 are presented, in addition to current operating specifications, applications and measurement capabilities. Recent developments involve a robotic sample changer enabling high-throughput X-ray diffraction measurements, applicable to mail-in and remote operations. In situ and operando capabilities to measure samples with different form factors (e.g. capillary, flat plate or thin film, and transmission) and under variable experimental conditions are discussed. Several example datasets and accompanying Rietveld refinements are presented.
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Affiliation(s)
- Kevin H. Stone
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - Monty R. Cosby
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - Nicholas A. Strange
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - Vivek Thampy
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - Richard C. Walroth
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
| | - Charles Troxel Jr
- Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA
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Murakami H, Hasegawa K, Ueno G, Yagi N, Yamamoto M, Kumasaka T. Development of SPACE-II for rapid sample exchange at SPring-8 macromolecular crystallography beamlines. Acta Crystallogr D Struct Biol 2020; 76:155-165. [PMID: 32038046 PMCID: PMC7008514 DOI: 10.1107/s2059798320000030] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 01/03/2020] [Indexed: 11/25/2022]
Abstract
A rapid and reliable sample changer, SPACE-II, has been developed at the SPring-8 macromolecular crystallography beamline BL41XU. It enables samples to be exchanged in 16 s, of which its action accounts for only 11 s. Two years of operating SPACE-II demonstrated that the average number of sample exchanges per day was increased by 40% compared with the previous model, and it had an error rate of only 0.089%. Reducing the sample-exchange time is a crucial issue in maximizing the throughput of macromolecular crystallography (MX) beamlines because the diffraction data collection itself is completed within a minute in the era of pixel-array detectors. To this end, an upgraded sample changer, SPACE-II, has been developed on the basis of the previous model, SPACE (SPring-8 Precise Automatic Cryo-sample Exchanger), at the BL41XU beamline at SPring-8. SPACE-II achieves one sample-exchange step within 16 s, of which its action accounts for only 11 s, because of three features: (i) the implementation of twin arms that enable samples to be exchanged in one cycle of mount-arm action, (ii) the implementation of long-stroke mount arms that allow samples to be exchanged without withdrawal of the detector and (iii) the use of a fast-moving translation and rotation stage for the mount arms. By pre-holding the next sample prior to the sample-exchange sequence, the time was further decreased to 11 s in the case of automatic data collection, of which the action of SPACE-II accounted for 8 s. Moreover, the sample capacity was expanded from four to eight Uni-Pucks. The performance of SPACE-II has been demonstrated in over two years of operation at BL41XU; the average number of samples mounted on the diffractometer in one day was increased from 132 to 185, with an error rate of 0.089%, which counted incidents in which users could not continue with an experiment without recovery work by entering the experimental hutch. On the basis of these results, SPACE-II has been installed at three other MX beamlines at SPring-8 as of July 2019. The fast and highly reliable SPACE-II is now one of the most important pieces of infrastructure for the MX beamlines at SPring-8, providing users with the opportunity to fully make use of limited beamtime with brilliant X-rays.
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Affiliation(s)
- Hironori Murakami
- Protein Crystal Analysis Division, Japan Synchrotron Radiation Research Institute, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5198, Japan
| | - Kazuya Hasegawa
- Protein Crystal Analysis Division, Japan Synchrotron Radiation Research Institute, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5198, Japan
| | - Go Ueno
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Naoto Yagi
- Protein Crystal Analysis Division, Japan Synchrotron Radiation Research Institute, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5198, Japan
| | - Masaki Yamamoto
- Advanced Photon Technology Division, RIKEN SPring-8 Center, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5148, Japan
| | - Takashi Kumasaka
- Protein Crystal Analysis Division, Japan Synchrotron Radiation Research Institute, 1-1-1 Kouto, Sayo-cho, Sayo-gun, Hyogo 679-5198, Japan
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Ren J, Wang Y, Meng X, Shi X, Assoufid L, Tai R. In-plane wavevector distribution in partially coherent X-ray propagation. J Synchrotron Radiat 2019; 26:1198-1207. [PMID: 31274444 DOI: 10.1107/s1600577519005253] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 04/16/2019] [Indexed: 06/09/2023]
Abstract
The MOI (Mutual Optical Intensity) code for propagating partially coherent radiation through beamline optics is updated by including the in-plane wavevector in the wavefield calculation. The in-plane wavevector is a local function and accurately describes the average phase distribution in a partially coherent wavefield. The improved MOI code is demonstrated by beam propagation through free space and non-ideal mirrors. The improved MOI code can provide more accurate results with lower numbers of elements, and thus has a higher calculation efficiency. Knowledge of the in-plane wavevector also enables detailed studies of wavefield information under different coherence conditions. The improved MOI code is available at http://www.moixray.cn.
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Affiliation(s)
- Junchao Ren
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Zhangheng Road 239, Pudong District, Shanghai 201800, People's Republic of China
| | - Yong Wang
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Zhangheng Road 239, Shanghai 201204, People's Republic of China
| | - Xiangyu Meng
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Zhangheng Road 239, Shanghai 201204, People's Republic of China
| | - Xianbo Shi
- Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Lahsen Assoufid
- Advanced Photon Source, Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
| | - Renzhong Tai
- Shanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Zhangheng Road 239, Shanghai 201204, People's Republic of China
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Classen S, Hura GL, Holton JM, Rambo RP, Rodic I, McGuire PJ, Dyer K, Hammel M, Meigs G, Frankel KA, Tainer JA. Implementation and performance of SIBYLS: a dual endstation small-angle X-ray scattering and macromolecular crystallography beamline at the Advanced Light Source. J Appl Crystallogr 2013; 46:1-13. [PMID: 23396808 PMCID: PMC3547225 DOI: 10.1107/s0021889812048698] [Citation(s) in RCA: 183] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2012] [Accepted: 11/27/2012] [Indexed: 12/02/2022] Open
Abstract
The SIBYLS beamline (12.3.1) of the Advanced Light Source at Lawrence Berkeley National Laboratory, supported by the US Department of Energy and the National Institutes of Health, is optimized for both small-angle X-ray scattering (SAXS) and macromolecular crystallography (MX), making it unique among the world's mostly SAXS or MX dedicated beamlines. Since SIBYLS was commissioned, assessments of the limitations and advantages of a combined SAXS and MX beamline have suggested new strategies for integration and optimal data collection methods and have led to additional hardware and software enhancements. Features described include a dual mode monochromator [containing both Si(111) crystals and Mo/B(4)C multilayer elements], rapid beamline optics conversion between SAXS and MX modes, active beam stabilization, sample-loading robotics, and mail-in and remote data collection. These features allow users to gain valuable insights from both dynamic solution scattering and high-resolution atomic diffraction experiments performed at a single synchrotron beamline. Key practical issues considered for data collection and analysis include radiation damage, structural ensembles, alternative conformers and flexibility. SIBYLS develops and applies efficient combined MX and SAXS methods that deliver high-impact results by providing robust cost-effective routes to connect structures to biology and by performing experiments that aid beamline designs for next generation light sources.
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Affiliation(s)
- Scott Classen
- Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Greg L. Hura
- Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - James M. Holton
- Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, CA 94158-2330, USA
| | - Robert P. Rambo
- Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Ivan Rodic
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Patrick J. McGuire
- Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Kevin Dyer
- Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Michal Hammel
- Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - George Meigs
- Physical Bioscience Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Kenneth A. Frankel
- Engineering Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - John A. Tainer
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
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