Monte Carlo Simulation Of The Data Acquisition Chain Of Scintillation Detectors

被引:0
|
作者
Binda, F. [1 ]
Ericsson, G. [1 ]
Hellesen, C. [1 ]
Hjalmarsson, A. [1 ]
Eriksson, J. [1 ]
Skiba, M. [1 ]
Conroy, S. [1 ]
Weiszflog, M. [1 ]
机构
[1] Uppsala Univ, Dept Phys & Astron, Div Appl Nucl Phys, S-75120 Uppsala, Sweden
来源
FUSION REACTOR DIAGNOSTICS | 2014年 / 1612卷
关键词
Data acquisition; Scintillators; Photomultiplier tubes; Digitizers; NE213; Gamma-rays; Resolution; Monte Carlo;
D O I
10.1063/1.4894032
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
The good performance of a detector can be strongly affected by the instrumentation used to acquire the data. The possibility of anticipating how the acquisition chain will affect the signal can help in finding the best solution among different set-ups. In this work we developed a Monte Carlo code that aims to simulate the effect of the various components of a digital Data Acquisition system (DAQ) applied to scintillation detectors. The components included in the model are: the scintillator, the photomultiplier tube (PMT), the signal cable and the digitizer. We benchmarked the code against real data acquired with a NE213 scintillator, comparing simulated and real signal pulses induced by gamma-ray interaction. Then we studied the dependence of the energy resolution of a pulse height spectrum (PHS) on the sampling frequency and the bit resolution of the digitizer. We found that exceeding some values of the sampling frequency and the bit resolution improves only marginally the performance of the system. The method can be applied for the study of various detector systems relevant for nuclear techniques, such as in fusion diagnostics.
引用
收藏
页码:101 / 104
页数:4
相关论文
共 50 条
  • [41] Monte Carlo simulation of scintillation crystal detector for formation element logging
    HAN Ruiyi
    WANG Zhuwen
    [J]. Global Geology, 2019, 22 (02) : 128 - 132
  • [42] Comparison of photon counting and conventional scintillation detectors in a pinhole SPECT system for small animal imaging: Monte carlo simulation studies
    Young-Jin Lee
    Su-Jin Park
    Seung-Wan Lee
    Dae-Hong Kim
    Ye-Seul Kim
    Hee-Joung Kim
    [J]. Journal of the Korean Physical Society, 2013, 62 : 1317 - 1322
  • [43] Comparison of photon counting and conventional scintillation detectors in a pinhole SPECT system for small animal imaging: Monte carlo simulation studies
    Lee, Young-Jin
    Park, Su-Jin
    Lee, Seung-Wan
    Kim, Dae-Hong
    Kim, Ye-Seul
    Kim, Hee-Joung
    [J]. JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2013, 62 (09) : 1317 - 1322
  • [44] THE MONTE-CARLO SIMULATION OF PEARL CHAIN FORMATION
    MARSZALEK, P
    GODZIK, A
    [J]. RADIATION AND ENVIRONMENTAL BIOPHYSICS, 1987, 26 (04) : 313 - 317
  • [45] PET digitization chain for Monte Carlo simulation in GATE
    Salvadori, Julien
    Merlet, Antoine
    Presles, Benoit
    Cabello, Jorge
    Su, Kuan-Hao
    Cochet, Alexandre
    Etxebeste, Ane
    Vrigneaud, Jean-Marc
    Sarrut, David
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2024, 69 (16):
  • [46] Ensemble preconditioning for Markov chain Monte Carlo simulation
    Benedict Leimkuhler
    Charles Matthews
    Jonathan Weare
    [J]. Statistics and Computing, 2018, 28 : 277 - 290
  • [47] A Monte Carlo Simulation Approach on Supply Chain Dynamics
    Ryu, Jun-Hyung
    Lee, In-Beum
    [J]. KOREAN CHEMICAL ENGINEERING RESEARCH, 2008, 46 (04): : 792 - 798
  • [48] Ensemble preconditioning for Markov chain Monte Carlo simulation
    Leimkuhler, Benedict
    Matthews, Charles
    Weare, Jonathan
    [J]. STATISTICS AND COMPUTING, 2018, 28 (02) : 277 - 290
  • [49] PET digitization chain for Monte Carlo simulation in GATE
    Salvadori, J.
    Merlet, A.
    Presles, B.
    Etxebeste, A.
    Vrigneaud, J.
    Sarrut, D.
    [J]. EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2023, 50 (SUPPL 1) : S690 - S690
  • [50] Efficient Monte Carlo simulation of a dissipative Ising chain
    Butcher, Matthew W.
    Pixley, J. H.
    Nevidomskyy, Andriy H.
    [J]. AIP ADVANCES, 2018, 8 (10)