| Paper | Title | Page |
|---|---|---|
| WEPGW043 | Quality Assurance for CSNS Operation | 2575 |
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| Because CSNS (China Spallation Neutron Source) is now in early operation, the focus has been shifted from beam commissioning to reliable operation, therefore, a suite of QA tools are under development. These tools include Elog system and operation issue tracking system which can record events and track issue status in the process of operation. This paper will describe the application of QA tools in CSNS and the development progress of them. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPGW043 | |
| About • | paper received ※ 10 May 2019 paper accepted ※ 21 May 2019 issue date ※ 21 June 2019 | |
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| WEPGW058 | Orbit Correction With Machine Learning | 2608 |
| SUSPFO076 | use link to see paper's listing under its alternate paper code | |
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| Orbit correction is usually an important task in the operation of accelerators. In practice, due to various errors, many devices can not operate in ideal state. By correcting the errors of magnets with corrector magnets, the beam can return to the correct position to ensure the stable operation of the accelerator. In the process of orbit correction, inaccurate BPM output will lead to incorrect correction magnet strength setting, so that the orbit correction will be impacted. BPM may make mistakes in the process of signal acquisition and current conversion. A BPM anomaly detection and predict method based on machine learning and its using in orbit correction optimization is reported in this paper. This method does not need to observe the details of BPM system, electronics technology and so on. It can monitor and predict the BPM status directly by machine learning with the information of the beam inferred from BPM and others, and optimize the orbit correction. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPGW058 | |
| About • | paper received ※ 15 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019 | |
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| WEPTS096 | Open XAL Status Report 2019 | 3341 |
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| The Open XAL accelerator physics software platform is being developed through an international collaboration among several facilities since 2010. This paper discusses progress in beam dynamics simulation, new RF models, and updated application framework along with new generic accelerator physics applications. We present the current status of the project, a roadmap for continued development and an overview of the project status at each participating facility. | ||
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-WEPTS096 | |
| About • | paper received ※ 15 May 2019 paper accepted ※ 23 May 2019 issue date ※ 21 June 2019 | |
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| THPTS030 | HEPS-TF Superconducting Wiggler Control System | 4174 |
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Funding: HEPS-TF Superconducting Wiggler (SCW) is an important development direction of insertion devices for modern light sources. It is also the key technology of High Energy Photon Source Test Facility (HEPS-TF) insertion device system research. SCW control system involves power supply, cryogenics，vacuum and other devices, control. Serial port server was built for the SCW control system, with EPICS DB to make the PID algorithm for heater and superconductor cavity pressure, temperature, and with Ziegler-Nichols method to quickly find appropriate PID parameters. |
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| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2019-THPTS030 | |
| About • | paper received ※ 15 May 2019 paper accepted ※ 22 May 2019 issue date ※ 21 June 2019 | |
| Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |