Error Analysis Study for Electron Linear Accelerator Optimized Using Multi Objective Genetic Algorithm

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This preprint studied error robustness for an electron linear accelerator injector system for 4th generation synchrotron radiation, building on a prior multi-objective genetic algorithm (MOGA) optimization of injector parameters to meet beam-quality requirements. The authors performed simulations incorporating potential RF cavity phase/gradient errors and magnet strength errors across three scenarios: operational input errors, installation rotation errors, and a combined “all errors simultaneously” case. They reported that beam quality remained within their acceptable range even under these modeled errors, concluding that the MOGA-derived linac operation parameters are practical and usable. The work is presented as a preprint under review and does not describe peer-reviewed validation. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract The injector system of 4th generation synchrotron radiation accelerators should be optimally designed to produce a good quality beam. In the previous study, we used Multi-Objective Genetic Algorithm (MOGA) to optimize the injector system parameters to meet the beam requirements. To ensure that the injector operation parameters optimized by MOGA fall within practical ranges, we conducted an error analysis. The injector, composed of RF cavities and magnets, includes an analysis of potential errors in RF cavity phase and gradient, and magnet strengths across three distinct steps. First, we considered errors that could occur during operation, such as input phases of RF cavities and strengths of cavities and magnets. Second, we considered installation errors, including rotation errors of devices. Lastly, we simulated scenarios where all errors occur simultaneously. The simulation results showed that even when errors occurred, the beam quality remained within our acceptable range. Through this error analysis, we confirmed that the linac operation parameters optimized by MOGA are indeed practical and usable.
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Error Analysis Study for Electron Linear Accelerator Optimized Using Multi Objective Genetic Algorithm | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Error Analysis Study for Electron Linear Accelerator Optimized Using Multi Objective Genetic Algorithm Chanmi kim, Chang-Ki Min, Woo Jun Byeon, Eun-San Kim, Seong Hee Park, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5140637/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 7 You are reading this latest preprint version Abstract The injector system of 4th generation synchrotron radiation accelerators should be optimally designed to produce a good quality beam. In the previous study, we used Multi-Objective Genetic Algorithm (MOGA) to optimize the injector system parameters to meet the beam requirements. To ensure that the injector operation parameters optimized by MOGA fall within practical ranges, we conducted an error analysis. The injector, composed of RF cavities and magnets, includes an analysis of potential errors in RF cavity phase and gradient, and magnet strengths across three distinct steps. First, we considered errors that could occur during operation, such as input phases of RF cavities and strengths of cavities and magnets. Second, we considered installation errors, including rotation errors of devices. Lastly, we simulated scenarios where all errors occur simultaneously. The simulation results showed that even when errors occurred, the beam quality remained within our acceptable range. Through this error analysis, we confirmed that the linac operation parameters optimized by MOGA are indeed practical and usable. electron linac MOGA error analysis Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 18 Oct, 2024 Reviews received at journal 17 Oct, 2024 Reviewers agreed at journal 26 Sep, 2024 Reviewers invited by journal 26 Sep, 2024 Editor assigned by journal 26 Sep, 2024 Submission checks completed at journal 25 Sep, 2024 First submitted to journal 23 Sep, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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