研究目的
To understand the relative sensitivities of microchannel plate (MCP) and channel electron multiplier (CEM) detectors to penetrating radiation in space, which can generate background counts and shorten detector lifetime.
研究成果
MCP detectors are significantly more sensitive to penetrating radiation than CEM detectors, with a quantum efficiency strongly dependent on detector bias. The sensitivity can be reduced by optimizing MCP geometries with higher pitch and smaller channel diameter. CEM detectors, being less sensitive, are more suitable for applications requiring minimal background counts from penetrating radiation.
研究不足
The study focuses on keV -rays as a proxy for penetrating radiation, which may not fully represent all types of penetrating radiation encountered in space. The experimental setup may not account for all space environment conditions.
1:Experimental Design and Method Selection:
The study compares the response of MCP and CEM detectors to keV -rays, serving as a proxy for penetrating radiation in space. The methodology involves measuring the quantum efficiency of these detectors under various biases.
2:Sample Selection and Data Sources:
The detectors used are a Sjuts model KBL CAS820 CEM detector and a Quantar Technologies Series 3300 MCP detector. The -ray source is a Cs source with an activity of Ci.
3:List of Experimental Equipment and Materials:
CEM detector (Sjuts model KBL CAS820), MCP detector (Quantar Technologies Series 3300), Cs source, aluminum absorber plates, and pulse height analyzer electronics.
4:Experimental Procedures and Operational Workflow:
The detectors were exposed to keV -rays under controlled conditions, with varying detector biases. The count rates and pulse height distributions were measured to determine quantum efficiency and sensitivity to penetrating radiation.
5:Data Analysis Methods:
The quantum efficiency was calculated from the ratio of net detector count rate to the -ray input rate. The dependence of quantum efficiency on detector bias was analyzed using power law fits.
独家科研数据包,助您复现前沿成果,加速创新突破
获取完整内容