由于像素间电容耦合引起的信号相关模糊核的点扩散函数分支和去卷积
Point-spread function ramifications and deconvolution of a signal dependent blur kernel due to interpixel capacitive coupling
摘要：
像素间电容（IPC）是确定性电子耦合，其导致入射在杂交检测器阵列的一个像素上的所收集信号的一部分在相邻像素中被测量。由表现出这种耦合的光敏HgCdTe阵列收集的数据通常是未校正的，或者通过将耦合处理为固定的点扩散函数来校正。有证据表明，这种IPC耦合在不同的信号和背景水平上是不一致的。这种变化使在诸如维纳滤波或Lucy-Richardson算法的应用之类的解耦技术中关键的假设无效。此外，变量IPC导致点扩散函数（PSF）取决于恒星相对于背景水平的信号水平以及其他参数。当IPC在传感器的整个阱深度范围内从0.68%到1.45%时，这是H2RG阵列的合理范围，JWST的NIRCam 405 N带的FWHM从衍射图案预期的2.080 pix（0 ".132）下降到2.186 pix（0".142），当恒星刚刚突破系统的灵敏度极限时。例如，当尝试使用固定PSF拟合（例如，假设从场中的亮星观察到的PSF）来解开具有4：1的通量比和3个像素的中心到中心距离的两个源时，通量估计可以偏离1.5%以上，分离误差为50毫像素。为了解决这个问题，这里提出了一种迭代非平稳反卷积方法，实现和评估，可以考虑IPC的信号依赖性。
英文摘要：
Interpixel capacitance (IPC) is a deterministic electronic coupling that results in a portion of the collected signal incident on one pixel of a hybridized detector array being measured in adjacent pixels. Data collected by light sensitive HgCdTe arrays which exhibit this coupling typically goes uncorrected or is corrected by treating the coupling as a fixed point spread function. Evidence suggests that this IPC coupling is not uniform across different signal and background levels. This variation invalidates assumptions that are key in decoupling techniques such as Wiener Filtering or application of the Lucy- Richardson algorithm. Additionally, the variable IPC results in the point spread function (PSF) depending upon a star's signal level relative to the background level, amond other parameters. With an IPC ranging from 0.68% to 1.45% over the full well depth of a sensor, as is a reasonable range for the H2RG arrays, the FWHM of the JWSTs NIRCam 405N band is degraded from 2.080 pix (0".132) as expected from the diffraction patter to 2.186 pix (0".142) when the star is just breaching the sensitivity limit of the system. For example, when attempting to use a fixed PSF fitting (e.g. assuming the PSF observed from a bright star in the field) to untangle two sources with a flux ratio of 4:1 and a center to center distance of 3 pixels, flux estimation can be off by upwards of 1.5% with a separation error of 50 millipixels. To deal with this issue an iterative non-stationary method for deconvolution is here proposed, implemented, and evaluated that can account for the signal dependent nature of IPC.
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