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Simulating CCDs for the Chandra Advanced CCD Imaging Spectrometer

机译:为Chandra Advanced CCD成像光谱仪模拟CCD

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摘要

We have implemented a Monte Carlo algorithm to model and predict the response of various kinds of CCDs to X-ray photons and minimally-ionizing particles and have applied this model to the CCDs in the Chandra X-ray Observatory's Advanced CCD Imaging Spectrometer. This algorithm draws on empirical results and predicts the response of all basic types of X-ray CCD devices. It relies on new solutions of the diffusion equation, including recombination, to predict the radial charge cloud distribution in field-free regions of CCDs. By adjusting the size of the charge clouds, we can reproduce the event grade distribution seen in calibration data. Using a model of the channel stops developed here and an insightful treatment of the insulating layer under the gate structure developed at MIT, we are able to reproduce all notable features in ACIS calibration spectra. The simulator is used to reproduce ground and flight calibration data from ACIS, thus confirming its fidelity. It can then be used for a variety of calibration tasks, such as generating spectral response matrices for spectral fitting of astrophysical sources, quantum efficiency estimation, and modeling of photon pile-up.
机译:我们已经实现了蒙特卡罗算法,以建模和预测各种CCD对X射线光子和最小电离粒子的响应,并将此模型应用于Chandra X射线天文台的高级CCD成像光谱仪中的CCD。该算法利用经验结果,并预测所有基本类型的X射线CCD设备的响应。它依靠扩散方程的新解决方案(包括重组)来预测CCD的无场区域中的径向电荷云分布。通过调整电荷云的大小,我们可以再现在校准数据中看到的事件等级分布。使用在此开发的通道停止模型和对麻省理工学院开发的栅极结构下的绝缘层的深入研究,我们能够重现ACIS校准光谱中的所有显着特征。该模拟器用于从ACIS复制地面和飞行校准数据,从而确认其保真度。然后可以将其用于各种校准任务,例如生成光谱响应矩阵以用于天体物理源的光谱拟合,量子效率估计以及光子堆积的建模。

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