Difference between revisions of "STIX Documentation"
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− | Stixdcpy is a Python package that facilitates access and analysis of STIX data. It provides APIs to query and download data from the STIX data center | + | Stixdcpy is a Python package that facilitates access and analysis of STIX data. It provides APIs to query and download data from the STIX data center and a set of tools for visualizing data and performing common analysis tasks. With stixdcpy, users can query and download the following types of data from the STIX data center: |
* Quick-look light curves | * Quick-look light curves |
Revision as of 09:02, 1 May 2023
Contents
1 Instrumentation
Details about the STIX instrumentation can be found in the following paper:
- Säm Krucker, G. J. Hurford, et al., The Spectrometer/Telescope for Imaging X-rays (STIX), A&A, 642 (2020), DOI: https://doi.org/10.1051/0004-6361/201937362
2 STIX data analysis tutorials
STIX tutorials are available at [1].
3 Interacting STIX Data Center using python =
Stixdcpy is a Python package that facilitates access and analysis of STIX data. It provides APIs to query and download data from the STIX data center and a set of tools for visualizing data and performing common analysis tasks. With stixdcpy, users can query and download the following types of data from the STIX data center:
- Quick-look light curves
- Housekeeping data
- Science data
- Energy calibration data
- Auxiliary data
- STIX solar flare list
- STIX operational events"
stixdcpy source code and the tutorial can be found at: https://github.com/i4ds/stixdcpy
4 How to Cite Our Work
If you use STIX data in your research, please cite the following papers:
- STIX instrument paper:
Säm Krucker, G. J. Hurford, et al., The Spectrometer/Telescope for Imaging X-rays (STIX), A&A, 642 (2020),
DOI: https://doi.org/10.1051/0004-6361/201937362
- STIX data center paper:
Hualin Xiao, Shane Maloney, Säm Krucker, Ewan Dickson, Paolo Massa, et al., The data center for the Spectrometer and Telescope for Imaging X-rays (STIX) on board Solar Orbiter,
DOI: https://doi.org/10.1051/0004-6361/202346031