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Fisher information matrix for branching processes with application to electron-multiplying charge-coupled devices

机译:用于分支过程的Fisher信息矩阵及其在电子倍增电荷耦合器件中的应用

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The high quantum efficiency of the charge-coupled device (CCD) has rendered it the imaging technology of choice in diverse applications. However, under extremely low light conditions where few photons are detected from the imaged object, the CCD becomes unsuitable as its readout noise can easily overwhelm the weak signal. An intended solution to this problem is the electron-multiplying charge-coupled device (EMCCD), which stochastically amplifies the acquired signal to drown out the readout noise. Here, we develop the theory for calculating the Fisher information content of the amplified signal, which is modeled as the output of a branching process. Specifically, Fisher information expressions are obtained for a general and a geometric model of amplification, as well as for two approximations of the amplified signal. All expressions pertain to the important scenario of a Poisson-distributed initial signal, which is characteristic of physical processes such as photon detection. To facilitate the investigation of different data models, a “noise coefficient” is introduced which allows the analysis and comparison of Fisher information via a scalar quantity. We apply our results to the problem of estimating the location of a point source from its image, as observed through an optical microscope and detected by an EMCCD.
机译:电荷耦合器件(CCD)的高量子效率使其成为各种应用中的首选成像技术。但是,在极弱的光线条件下,几乎无法从成像对象中检测到光子,因此CCD变得不合适,因为其读出噪声很容易使弱信号不堪重负。解决此问题的一种预期解决方案是倍增电子耦合器件(EMCCD),该器件随机放大所采集的信号,以淹没读出的噪声。在这里,我们发展了用于计算放大信号的费舍尔信息含量的理论,该理论被建模为分支过程的输出。具体而言,获得用于放大的一般模型和几何模型以及放大信号的两个近似值的Fisher信息表达式。所有表达式都涉及泊松分布初始信号的重要情况,这是物理过程(例如光子检测)的特征。为了便于研究不同的数据模型,引入了“噪声系数”,该噪声系数允许通过标量对费舍尔信息进行分析和比较。我们将结果应用于通过光学显微镜观察并由EMCCD检测到的从点源图像估计点源位置的问题。

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