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The removal method and generation mechanism of spikes in Insight-HXMT/HE telescope

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Abstract

Spikes are some obvious sharp increases that appear on the raw light curves of Insight-HXMT’s High Energy X-ray telescope(HE), which could have influences on data products like energy and power spectra. They are considered to be fake triggers generated by large signals. In this paper, we study the spikes’ characteristic and propose two methods to remove spikes from the raw data. According to the different influences on energy and power spectra, the best parameters for removing the spikes is selected and used in the Insight-HXMT data analysis software. The generation mechanism of spikes is also studied using the backup HE detectors on ground and the spikes can be reduced by the electronic design.

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Notes

  1. All Insight-HXMT data used in this work are publicly available and can be downloaded from the official website of Insight-HXMT: http://archive.hxmt.cn/proposal.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China under grants (No.U1838201, U1838202, U1838105, U1938102, U1938108, U2031205). This work made use of data from the Insight-HXMT mission, a project funded by China National Space Administration (CNSA) and the Chinese Academy of Sciences (CAS). We also thank the support from the Strategic Priority Program on Space Science, the Chinese Academy of Sciences, Grant No. XDA15020503.

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Authors and Affiliations

  1. Key Laboratory for Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China

    Baiyang Wu, Yifei Zhang, Xiaobo Li, Haisheng Zhao, Mingyu Ge, Congzhan Liu, Liming Song & Jinlu Qu

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

    Baiyang Wu

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  1. Baiyang Wu
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  2. Yifei Zhang
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  3. Xiaobo Li
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Correspondence to Xiaobo Li or Liming Song.

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Wu, B., Zhang, Y., Li, X. et al. The removal method and generation mechanism of spikes in Insight-HXMT/HE telescope. Exp Astron 53, 1037–1051 (2022). https://doi.org/10.1007/s10686-022-09847-8

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  • DOI: https://doi.org/10.1007/s10686-022-09847-8

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