Difference between revisions of "STIX data center"
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4 to 10 keV quick-look light curves are used to identified flares. | 4 to 10 keV quick-look light curves are used to identified flares. | ||
Identifications of flares consists of several steps as follows: | Identifications of flares consists of several steps as follows: | ||
− | + | # Light curve smoothing. 4-sec time bins are | |
rebinned to 1 minute time bins in order to filter spikes from the electronics and fluctuation | rebinned to 1 minute time bins in order to filter spikes from the electronics and fluctuation | ||
due to statistics and integral compression; | due to statistics and integral compression; |
Revision as of 08:49, 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:
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 identification
4 to 10 keV quick-look light curves are used to identified flares. Identifications of flares consists of several steps as follows:
- Light curve smoothing. 4-sec time bins are
rebinned to 1 minute time bins in order to filter spikes from the electronics and fluctuation due to statistics and integral compression;
The smoothed light curves have time bins of 1 minute. Those during the quiet period of the sun. to calculate the background Quick-look light curves are used for flare identification.
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