A spectroscopic Monte-Carlo model to simulate the response of pixelated CdTe based detectors

被引:10
|
作者
Koch-Mehrin, K. A. L. [1 ]
Lees, J. E. [1 ]
Bugby, S. L. [1 ,2 ]
机构
[1] Univ Leicester, Dept Phys & Astron, Space Res Ctr, Leicester LE1 7RH, Leics, England
[2] Univ Loughborough, Dept Phys, Ctr Sensing & Imaging Sci, Loughborough LE11 3TU, Leics, England
关键词
Monte Carlo detector model; CdTe; HEXITEC; Charge sharing; Pixelated compound semiconductor detectors; CHARGE; SCATTERING; RADIATION;
D O I
10.1016/j.nima.2020.164241
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A fully spectroscopic Monte Carlo model has been developed to predict the spectroscopic performance of pixelated CdTe based detectors. The model incorporates photon attenuation by the photoelectric effect, Compton scattering and Rayleigh scattering. Charge transport equations are used to simulate the size of the electron cloud, approximated by a symmetrical two-dimensional Gaussian distribution, as it drifts to be read out at the detector anode. Direct comparisons are made between simulated data and experimentally acquired spectra from a 1 mm thick CdTe sensor coupled to the HEXITEC detector ASIC. The probability of an absorbed photon leading to charge sharing across pixels as a function of incoming photon energy is investigated. The charge cloud size was found to be dominated by cloud growth during drift for photon energies <100 keV. Furthermore, the portion of charge sharing events due to fluorescence from within the CdTe sensor is calculated-these events are distinguished from regular charge sharing events since their energy response differs. The model described is shown to give a good estimate of the total probability of charge sharing for energies up to 140 keV. CdTe sensor thickness, bias voltage, pixel size and electronic noise threshold can be adjusted to model a range of detector architectures.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Monte-Carlo simulation of charge sharing in 2 mm thick pixelated CdTe sensor
    Jirsa, J.
    Gecnuk, J.
    Janoska, Z.
    Jakovenko, J.
    Kafka, V.
    Marcisovsky, M.
    Marcisovska, M.
    Stanek, P.
    Tomasek, L.
    Vancura, P.
    JOURNAL OF INSTRUMENTATION, 2023, 18 (02)
  • [2] MONTE-CARLO STUDY OF THE LIQUID CDTE SURFACE
    WANG, ZQ
    STROUD, D
    MARKWORTH, AJ
    PHYSICAL REVIEW B, 1989, 40 (05): : 3129 - 3132
  • [3] MONTE-CARLO SIMULATION OF RESPONSE OF SEMICONDUCTOR DETECTORS FOR RADIONUCLIDE IDENTIFICATION DEVICES
    Skrypnyk, A. I.
    Khazhmuradov, M. A.
    PROBLEMS OF ATOMIC SCIENCE AND TECHNOLOGY, 2015, (03): : 89 - 94
  • [4] MONTE-CARLO SIMULATION OF RESPONSE OF CdZnTe DETECTORS OF BETA-RADIATION
    Zakharchenko, A. A.
    Rybka, A. V.
    Davydov, L. N.
    Vierovkin, A. A.
    Kutny, V. E.
    Khazhmuradov, M. A.
    EAST EUROPEAN JOURNAL OF PHYSICS, 2014, 1 (03): : 68 - 73
  • [5] MONTE-CARLO SIMULATION OF GAS CERENKOV DETECTORS
    MACK, JM
    JAIN, M
    JORDAN, TM
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1985, 32 (01) : 668 - 670
  • [6] MONTE-CARLO SIMULATION OF SPECTROSCOPIC IMAGING DATA
    HARPEN, MD
    MEDICAL PHYSICS, 1986, 13 (06) : 954 - 958
  • [7] AN APPLICATION OF MONTE-CARLO METHOD TO SIMULATE DISORDERS IN POLYMER CRYSTALS
    YAMAMOTO, T
    POLYMER, 1983, 24 (08) : 943 - 948
  • [8] A MONTE-CARLO METHOD TO SIMULATE SYSTEMS WITH BARRIERS - SUBSPACE SAMPLING
    SHEW, CY
    MILLS, P
    JOURNAL OF PHYSICAL CHEMISTRY, 1993, 97 (51): : 13824 - 13830
  • [9] USE OF A MONTE-CARLO TECHNIQUE TO SIMULATE TAP DENSIFICATION OF SPHERES
    BEDDOW, JK
    NASTA, MD
    KOSTELNIK, MC
    POWDER TECHNOLOGY, 1974, 9 (5-6) : 221 - 225
  • [10] BEAM - A MONTE-CARLO CODE TO SIMULATE RADIOTHERAPY TREATMENT UNITS
    ROGERS, DWO
    FADDEGON, BA
    DING, GX
    MA, CM
    WE, J
    MACKIE, TR
    MEDICAL PHYSICS, 1995, 22 (05) : 503 - 524