Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2020, Vol. 31 ›› Issue (10): 97 doi: 10.1007/s41365-020-00811-9

• NUCLEAR ELECTRONICS AND INSTRUMENTATION • Previous Articles     Next Articles

Characterization of silicon microstrip sensors for space astronomy

Jia-Ju Wei1,2 • Jian-Hua Guo1,2 • Yi-Ming Hu1,2   

  1. 1 Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing 210023, China
    2 Key Laboratory of Dark Matter and Space Astronomy, Chinese Academy of Sciences, Nanjing 210023, China
  • Received:2020-07-01 Revised:2020-08-07 Accepted:2020-08-20
  • Contact: Jia-Ju Wei E-mail:weijj@pmo.ac.cn
  • Supported by:
    This work was supported by the National Key R&D Program of China (No. 2016YFA0400204), the National Natural Science Foundation of China (Nos. 11873020, 11973097, and U1738210), and the Strategic Pioneer Program on Space Science of the Chinese Academy of Sciences (No. XDA15010200)
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Jia-Ju Wei, Jian-Hua Guo, Yi-Ming Hu. Characterization of silicon microstrip sensors for space astronomy.Nuclear Science and Techniques, 2020, 31(10): 97     doi: 10.1007/s41365-020-00811-9
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Abstract: Silicon microstrip detectors are widely used in experiments for space astronomy. Before the detector is assembled, extensive characterization of the silicon microstrip sensors is indispensable and challenging. This work electrically evaluates a series of sensor parameters, including the depletion voltage, bias resistance, metal strip resistance, total leakage current, strip leakage current, coupling capacitance, and interstrip capacitance. Two methods are used to accurately measure the strip leakage current, and the test results match each other well. In measuring the coupling capacitance, we extract the correct value based on a SPICE model and two-port network analysis. In addition, the expression of the measured bias resistance is deduced based on the SPICE model.

Key words: Silicon microstrip sensor, Space astronomy, Characterization, SPICE model