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The design and implementation of GECAM satellite payload performance monitoring software

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Abstract

Background

The Gravitational wave high-energy Electromagnetic Counterpart All-sky Monitor (GECAM) is primarily designed to spot gamma-ray bursts corresponding to gravitational waves. In order to achieve stable observations from various astronomical phenomena, the payload performance need to be monitored during the in-orbit operation.

Method

This article describes the design and implementation of GECAM satellite payload performance monitoring (GPPM) software. The software extracts the payload status and telescope observations (light curves, energy spectrums, characteristic peak fitting of energy spectrums, etc) from the payload data. Considering the large amount of payload status parameters in the engineering data, we have designed a method of parameter processing based on the configuration tables. This method can deal with the frequent changes of the data formats and facilitate program maintenance. Payload status and performance are monitored through defined thresholds and monitoring reports. The entire software is implemented in python language and the huge amount of observation data is stored in MongoDB.

Conclusion

The design and implementation of GPPM software have been completed, tested with ground and in-orbit payload data. The software can monitor the performance of GECAM payload effectively. The overall design of the software and the data processing method can be applied to other satellites.

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Notes

  1. FITS format is a common data storage format in the astronomical field, for details see the web site of https://fits.gsfc.nasa.gov/.

  2. CSV files store tabular data (numbers and text) in plain text form.

  3. The 37.4 keV and 1470 keV intrinsic gamma-ray lines of \(\text {LaBr}_{3}\):Ce can be resolved from in-flight backgrounds. The galactic 511 keV gamma-ray line also can be resolved [7].

  4. https://gcn.gsfc.nasa.gov/gcn3/30264.gcn3.

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Acknowledgements

This work is supported by the Strategic Priority Research Program of Chinese Academy of Sciences (Grant Nos. XDA15360300, XDA15360302 and XDB23040400).

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Authors and Affiliations

  1. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China

    Peng Zhang, Xiang Ma, Yue Huang, Shaolin Xiong, Shijie Zheng, Liming Song & Ge Ou

  2. University of Chinese Academy of Science, Beijing, 100049, China

    Xiang Ma, Yue Huang, Shaolin Xiong, Shijie Zheng, Liming Song & Ge Ou

  3. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, 611756, China

    Peng Zhang, Yanqi Du, Jing Liang & Hong Wu

Authors
  1. Peng Zhang
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  2. Xiang Ma
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  3. Yue Huang
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  4. Shaolin Xiong
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  5. Shijie Zheng
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  6. Liming Song
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  7. Ge Ou
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  8. Yanqi Du
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  10. Hong Wu
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Corresponding author

Correspondence to Xiang Ma.

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Zhang, P., Ma, X., Huang, Y. et al. The design and implementation of GECAM satellite payload performance monitoring software. Radiat Detect Technol Methods 6, 3–11 (2022). https://doi.org/10.1007/s41605-021-00283-4

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