scholarly journals The Monte-Carlo simulation on the detection efficiency of a scintillator neutron detector

Author(s):  
Fei Luo ◽  
Fang Liu ◽  
Ping Wang ◽  
Yu-Dong Sun
2020 ◽  
Vol 10 (17) ◽  
pp. 5744
Author(s):  
Yiyu Mao ◽  
Xuelin Wu ◽  
Wenti Huang ◽  
Qin Liao ◽  
Han Deng ◽  
...  

There is a growing interest in the security of underwater communication with the increasing demand for undersea exploration. In view of the complex composition and special optical properties of seawater, this paper deals with a performance analysis for continuous-variable quantum key distribution (CVQKD) over an underwater link. In particular, we focus on analyzing the channel transmittance and detection efficiency based on Monte Carlo simulation for different water types, link distances and transceiver parameters. A comparison between the transmittance obtained by simple Beer’s law and Monte Carlo simulation reveals that the transmittance of underwater link may be severely underestimated in the previous underwater CVQKD research. The effect of the receiver aperture and field of view (FOV) on detection efficiency under different water types is further evaluated based on Monte Carlo. Simulation results show that the transmission distance of the underwater CVQKD system obtained by Monte Carlo simulation in pure sea water, clear ocean water and coastal ocean water is larger than that obtained by Beer’s law, while the key rate of the system in all types of water is smaller than that obtained by Beer’s law because the size and FOV of the receiver aperture are taken into account. By considering the practical system parameters, this paper establishes a comprehensive model for evaluating the security of underwater CVQKD systems with different system configurations.


2020 ◽  
Vol 35 (2) ◽  
pp. 121-129
Author(s):  
Ekaterini Dalaka ◽  
Georgios Kuburas ◽  
Konstantinos Eleftheriadis ◽  
Marios Anagnostakis

Well-type high-purity germanium detectors are well suited for the analysis of small samples, as they combine high detection efficiency with low background radiation. The well geometry however makes efficiency calibration more difficult than that of ordinary HPGe detectors, due to intense true coincidence and possibly random summing effects. Such a detector has been installed at the Environmental Radioactivity Laboratory of the National Centre for Scientific Research "Demokritos". For the calibration of this detector, experimental and Monte Carlo simulation techniques were applied. To this end, calibration sources were produced from the radionuclides available at the Environmental Radioactivity Laboratory. Starting from the geometrical characteristics of the detector as provided by the manufacturer, using the calibration sources and applying Monte Carlo simulation techniques, the detector was characterized and peak efficiency, as well as total-to-peak calibration curves were produced. The results of the calibration finally obtained by simulation are found to be in good agreement with the respective experimental calibration results.


2011 ◽  
Vol 148 (4) ◽  
pp. 403-413 ◽  
Author(s):  
J. Bento ◽  
S. Barros ◽  
P. Teles ◽  
M. Neves ◽  
I. Goncalves ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (16) ◽  
pp. 3620
Author(s):  
Yang Yu ◽  
Bo Liu ◽  
Zhen Chen

A new encoding method is proposed to improve the performance of pseudo-random single-photon counting ranging (PSPCR) Lidar. The encoding principle and methodology are presented. In addition, the influence of detector’s dead time on the detection probability is analyzed with theoretical derivation and Monte Carlo simulation. Meanwhile, we propose using macro code as the analysis unit to quantitatively analyze the detection probability and single-photon detection efficiency of the traditional PSPCR Lidar and the modulated PSPCR Lidar. The Monte Carlo simulation and experiment prove that the proposed method exhibited better ranging performance than the traditional PSPCR Lidar system.


2013 ◽  
Vol 56 (9) ◽  
pp. 1740-1744 ◽  
Author(s):  
XiaoDong Wang ◽  
YuLian Zhang ◽  
ChunHui Zhang ◽  
BiTao Hu

Sign in / Sign up

Export Citation Format

Share Document