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| URL | https://doi.org/10.18429/JACoW-IBIC2024-WEP70 |
|---|---|
| Title | A generic and efficient aggregation method within neutron spectrometer data process framework based on the synchronous trigger and tagging system |
| Authors |
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| Abstract | In the recent project of China Spallation Neutron Source (CSNS), a new designed distributed stream-processing framework is applied as the fundamental schema of data process system on user cooperative instruments. It is constructed with the open-source Apache Kafka software, which aims to aggregate the big data for manipulation sharing, and also with a synchronous trigger and tagging system, which provide synchronous ID for data correlation among different target hitting cycles. Correlated data could be identified among different measurements for aggregative analysis in a high efficient way, which greatly improve the performance of data processing.In concert with the real-time capability on stream-processing platform, WYSIWYG characteristics is achieved either. Performance and adaptability of this technique has been validated during the operation of constructed user cooperative instruments in CSNS. An increasing number of data-processing functions and experiment methods have got benefit from it. |
| Paper | download: WEP70.pdf |
| Cite | BibTeX, LaTeX, Text/Word, RIS, EndNote |
| Conference | Proc. 13th International Beam Instrumentation Conference |
| Series | |
| Location | Beijing |
| Date | 09-13 Sep 2024 |
| Publisher | JACoW Publishing, Geneva, Switzerland |
| Editorial Board | Jianshe Cao (IHEP), Junhui Yue (IHEP), Lin Bian (IHEP), Ivan Andrian (Elettra-Sincrotrone Trieste S.C.p.A.), Volker RW Schaa (GSI), Zhichu Chen (SARI) |
| Online ISBN | 978-3-95450-249-3 |
| Online ISSN | 2673-5350 |
| Received | 05 September 2024 |
| Revised | 12 September 2024 |
| Accepted | 12 September 2024 |
| Issued | 11 December 2024 |
| DOI | 10.18429/JACoW-IBIC2024-WEP70 |
| Pages | 444-448 |
| Copyright | Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |