4.2 Article

Background model for the Low-Energy Telescope of Insight-HXMT

期刊

JOURNAL OF HIGH ENERGY ASTROPHYSICS
卷 27, 期 -, 页码 24-32

出版社

ELSEVIER
DOI: 10.1016/j.jheap.2020.02.010

关键词

Instrumentation: detectors; Space vehicles: instruments; Methods: data analysis; X-rays: general

资金

  1. China National Space Administration (CNSA)
  2. Chinese Academy of Sciences (CAS)
  3. National Program on Key Research and Development Project [2016YFA0400802, 2016YFA0400801]
  4. National Natural Science Foundation of China [U1838202, U1838201]

向作者/读者索取更多资源

With more than 150 blank sky observations at high Galactic latitude, we make a systematic study to the background of the Low Energy Telescope (LE) of the Hard X-ray Modulation Telescope(dubbed as Insight-HXMT). Both the on-ground simulation and the in-orbit observation indicate that the background spectrum mainly has two components. One is the particle background that dominates above 7keV and its spectral shape is consistent in every geographical locations. Another is the diffuse X-ray background that dominates below 7keV and has a stable spectrum less dependent of the sky region. The particle background spectral shape can be obtained from the blind detector data of all the blank sky observations, and the particle background intensity can be measured by the blind detector at 10 - 12.5keV. The diffuse X-ray background in the high Galactic latitude can also be obtained from the blank sky spectra after subtracting the particle background. Based on these characteristics, we develop the background model for both the spectrum and the light curve. The systematic error for the background spectrum is investigated with different exposures (T-exp). For the spectrum with T-exp = 1 ks, the average systematic errors in 1 - 7keV and 1 - 10 keV are 4.2% and 3.7%, respectively. We also perform the systematic error analyses of the background light curves with different energy bands and time bins. The results show that the systematic errors for the light curves with different time bins are < 8% in 1 - 10keV. (C) 2020 Elsevier B.V. All rights reserved.

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