Study Of Imaging Characteristics Of Euv Photon Counting Detector

As one of the most important active regions in the inner magnetosphere, plasmasphere is a very critical factor to reveal many complex interactions in the Earth's magnetic field. EUV Camera based on photon counting detector has officially become a payload in the "Chang'e 2" project, using to image Earth's plasmasphere. As one of the key technologies of EUV camera, imaging performance of EUV photon counting detector impact on the developing level of the camera directly. This thesis carried out an in-depth research on the imaging characteristic of EUV photon counting detector, provided a theoretical and experimental basis for the project.Based on the theoretical study of wedge-strip anode, a simulation model of wedge-strip anode photon counting detector has been established and verifies the feasibility of its principles by the simulation target imaging. A Scheme design for the detector has been proposed, and Micro-Channel Plate's various parameters have been optimized to ensure detector'performance; based on the the analysis of the main factors to position sensitive component (wedge-strip anode)'s imaging performance, an optimum design discipline of wedge -strip anode has been proposed and the design parameters has been given. Detector's front-end electronic systems also have been introduced; a data acquisition system has been set up, and the image acquisition software has been coded. We introduced an imaging performance testing program for wedge-strip anode photon counting detector, which involved resolution test, linearity test, background noise test, and photon counting rate test. The testing result show that, our developing detector has a resolution of 140um, counting rate of 66k cps, linearity superior to 0.3%, fully able to meet the design requirements for EUV camera; has completed the imaging testing of the whole EUV carema preliminary. For the possible image problems of EUV camera, as defocus blur and spatial periodic noise, we propose Wienar filter algorithm to restore those defocus blurred images, and frequency-domain notch filter to filter out the cyclical spatial noise. Simulation result shows these methods can effectively solve the image problems that may arise.