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Contribution to a conference proceedings/Contribution to a book | PUBDB-2024-01898 |
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2024
JACoW Publishing
Geneva, Switzerland
ISBN: 978-3-95450-247-9
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Please use a persistent id in citations: doi:10.18429/JACoW-IPAC2024-MOPG18 doi:10.3204/PUBDB-2024-01898
Abstract: The operation of light source accelerators is a complex process that involves a combination of empirical and theoret- ical physics, simulations, and data-intensive methodologies. For example, the FLASH1 beamline at DESY is upgrading to an external seeding FEL light source. We utilize special di- agnostics, machine learning algorithms, and comprehensive simulations to achieve this. To optimize resources, we con- stantly look to improve our approach, allowing us to robustly control the accelerator and meet the desired stability of our users. Machine learning and GPU-based algorithms have be- come crucial, enabling us to employ advanced optimization techniques and possibly Artificial Intelligence. However, in many cases, it is imperative to establish a robust mechanism for simulations involving large particle numbers to ensure that future upgrades and experiments can effectively and sustainably leverage these computational strategies.
Keyword(s): Accelerator Physics ; mc2-photon-sources-and-electron-accelerators - MC2: Photon Sources and Electron Accelerators ; MC2.A06 - MC2.A06 Free Electron Lasers
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