| Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
|---|---|---|
| Article Number | 04020 | |
| Number of page(s) | 9 | |
| Section | Online Computing | |
| DOI | https://doi.org/10.1051/epjconf/202125104020 | |
| Published online | 23 August 2021 | |
https://doi.org/10.1051/epjconf/202125104020
Daisy: Data analysis integrated software system for X-ray experiments
1 Computing Center, Institute of High Energy Physics, Beijing, 100049, China
2 University of Chinese Academy of Sciences, Beijing 100049, China
3 Spallation Neutron Source Science Center, Dongguan 523803, China
* Corresponding author: tianhl@ihep.ac.cn
# Corresponding author: qfz@ihep.ac.cn
Published online: 23 August 2021
Daisy (Data Analysis Integrated Software System) has been designed for the analysis and visualisation of X-ray experiments. To address the requirements of the Chinese radiation facilities community, spanning an extensive range from purely algorithmic problems to scientific computing infrastructure, Daisy sets up a cloud-native platform to support on-site data analysis services with fast feedback and interaction. Furthermore, the plug-in based application is convenient to process the expected high throughput data flow in parallel at next-generation facilities such as the High Energy Photon Source (HEPS). The objectives, functionality and architecture of Daisy are described in this article.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.