使用传感器表征数据来调整LSST传感器的静电模型参数
Use of sensor characterization data to tune electrostatic model parameters for LSST sensors
摘要：
我们建立在以前的努力模型CCD传感器，在照明和收集的转换。我们使用简单的有限求和，静电场模型。我们的框架的升级功能提供了对像素边界外壳中的扰动的特定预测（例如，在背面窗口）和簿记能力来堆叠这些扰动，使得它们可以被用作格林函数-便携式计算结果，其可以一般地应用于一系列与精密天文学相关的问题，这些问题自然包括天体测量、光度测量和形状转移问题。我们探讨了使用辅助像素数据，来自格林函数和注册的图像，分析天空数据和约束天文目标的对象参数的主题。
英文摘要：
We build on previous efforts to model CCD sensors, during illumination and collection of conversions. We use a finite summation of simple, electrostatic field models. The upgraded functionality of our framework provides specific predictions for perturbations in pixel boundary enclosures (e.g., at the backside window) and the bookkeeping capability to stack those perturbations so that they may be utilized as Greens functions -- portable calculation results that may be generically applied to a range of precision astronomy related problems that naturally including astrometric, photometric and shape transfer issues. We approach the topic of using ancillary pixel data, derived from the Greens function and the registered image, to analyze sky data and constrain object parameters of astronomical targets.
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