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An information-theoretical approach to image resolution applied to neutron imaging detectors based upon individual discriminator signals

机译:一种基于信息的理论方法,基于单个鉴别器信号,应用于中子成像探测器的图像分辨率

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1D or 2D neutron imaging detectors with individual wire or strip readout using discriminators have the advantage of being able to treat several neutron impacts partially overlapping in time, hence reducing global dead time. A single neutron impact usually gives rise to several discriminator signals. In this paper, we introduce an information-theoretical definition of image resolution. Two point-like spots of neutron impacts with a given distance between them act as a source of information (each neutron hit belongs to one spot or the other), and the detector plus signal treatment is regarded as an imperfect communication channel that transmits this information. The maximal mutual information obtained from this channel as a function of the distance between the spots allows to define a calibration-independent measure of resolution. We then apply this measure to quantify the power of resolution of different algorithms treating these individual discriminator signals which can be implemented in firmware. The method is then applied to different detectors existing at the ILL. Center-of-gravity methods usually improve the resolution over best-wire algorithms which are the standard way of treating these signals.
机译:一维或二维中子成像检测器,使用鉴别器进行单独的金属丝或条状读出,其优点是能够处理部分时间重叠的中子撞击,从而减少了总体停滞时间。单个中子撞击通常会产生多个鉴别信号。在本文中,我们介绍了图像分辨率的信息理论定义。中子撞击的两个点状点之间具有给定的距离,充当信息源(每个中子命中属于一个点或另一个点),探测器加上信号处理被认为是传输此信息的不完善的通信通道。从该通道获得的最大互信息作为光点之间的距离的函数,可以定义分辨率的与校准无关的度量。然后,我们采用此措施来量化处理可在固件中实现的这些单独的鉴别器信号的不同算法的分辨率。然后将该方法应用于ILL处存在的不同检测器。重心方法通常比最佳线算法提高分辨率,而最佳线算法是处理这些信号的标准方法。

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