标题： 理论框架与实现加权多重采样的科学CCD仿真结果 显示英文标题

标题： Theoretical Framework and Simulation Results for Implementing Weighted Multiple Sampling in Scientific CCDs

摘要： 数字相关双采样（DCDS）是一种在读取电荷耦合器件（CCCD）时对每个像素进行多次模拟-数字转换的技术。 该技术可以去除模拟积分器，简化读出电子电路。 在本工作中，提出了一种理论框架，用于计算像素样本的最佳加权系数，这些系数可使在CCD输出端测得的读出噪声最小化。 通过使用针对CCD输出放大器的噪声模型，其中白噪声和闪烁噪声被分别处理，所提出的数学工具能够以确定性方式计算最佳样本系数。 通过修改噪声轮廓，我们的仿真结果达成一致，从而解释了之前相互矛盾的结果。 显示英文摘要

摘要： The Digital Correlated Double Sampling (DCDS) is a technique based on multiple analog-to-digital conversions of every pixel when reading a CCD out. This technique allows to remove analog integrators, simplifying the readout electronics circuitry. In this work, a theoretical framework that computes the optimal weighted coefficients of the pixels samples, which minimize the readout noise measured at the CCD output is presented. By using a noise model for the CCD output amplifier where white and flicker noise are treated separately, the mathematical tool presented allows for the computation of the optimal samples coefficients in a deterministic fashion. By modifying the noise profile, our simulation results get in agreement and thus explain results that were in mutual disagreement up until now.