Difference between revisions of "STIX data center"
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The 4-10 keV light curves are used for flare detection. | The 4-10 keV light curves are used for flare detection. | ||
4-sec time bins are first rebinned to 1-min time bins in order to | 4-sec time bins are first rebinned to 1-min time bins in order to | ||
− | smooth light curves. Then | + | smooth light curves. Then the smoothed light curves are used |
− | + | to search for peaks. | |
− | + | A flare is considered being detected if a | |
− | + | peak satisfies several conditions as follows: | |
+ | * The peak counts is above 2 sigma of the background. | ||
== Source code == | == Source code == |
Revision as of 07:57, 6 July 2021
This page is still under construction.
STIX data center is a virtual server hosted at FHNW.
Contents
1 STIX Data Center tasks
Its tasks include
- Process STIX raw data & produce high level data products
- Monitor Data quality and instrument health status
- Provide data products and data browsing tools for the Solar Physics Community
- Support STIX operations
- Data archiving
2 STIX data center architecture
The data flow at STIX data center is shown in the picture below:
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Data processing SW mainly written in python. NoSQL DB (MongoDB) used to stored telemetry packets, file metadata and configurations
3 Key Algorithms
3.1 Offline flare location solution
3.2 Flare detection
The 4-10 keV light curves are used for flare detection. 4-sec time bins are first rebinned to 1-min time bins in order to smooth light curves. Then the smoothed light curves are used to search for peaks. A flare is considered being detected if a peak satisfies several conditions as follows:
- The peak counts is above 2 sigma of the background.
4 Source code
The source code can be found at:
- Data processing pipeline: https://github.com/i4Ds/STIX_python_PUB023
- STIX data center web applications: https://github.com/i4Ds/STIX-data-center
5 Developers
- Data processing software & data processing pipeline developers
- Data center