Difference between revisions of "STIX data center"
(→Flare identification) |
|||
| Line 21: | Line 21: | ||
=== Flare identification === | === Flare identification === | ||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | |||
| − | + | Quick-look light curves are used for flare identification. Identifications of flares consists of several steps as follows: | |
| − | + | Light curves are smoothed by using average filtering in order to filter spikes from the electronics and fluctuations due to the on-board integer compression. | |
| − | + | Then, light curves acquired during the quiet sun periods are selected for background estimation. | |
| − | + | We take median values and standard deviations of a certain number of data points (typically 1500 points) as the background level. | |
| − | + | Then the smoothed light curves are used to search for peaks. | |
| − | Then the smoothed light curves are used | ||
| − | to search for peaks. | ||
A flare is considered being detected if a | A flare is considered being detected if a | ||
peak satisfies several conditions as follows: | peak satisfies several conditions as follows: | ||
Revision as of 12:27, 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
Quick-look light curves are used for flare identification. Identifications of flares consists of several steps as follows: Light curves are smoothed by using average filtering in order to filter spikes from the electronics and fluctuations due to the on-board integer compression. Then, light curves acquired during the quiet sun periods are selected for background estimation. We take median values and standard deviations of a certain number of data points (typically 1500 points) as the background level. 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
