Pixel area variations in sensors: a novel framework for predicting pixel fidelity and distortion in flat field response
Pixel area variations in sensors: a novel framework for predicting pixel fidelity and distortion in flat field response
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传感器中的像素面积变化：用于预测平场响应中像素保真度和失真的新颖框架
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发表时间：
2014
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通讯作者：
Andrew Rasmussen
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作者：
Andrew Rasmussen
我们描述的漂移场在厚耗尽硅传感器作为一个叠加的一维背景场和各种三维微扰的贡献，物理动机。我们计算的轨迹转换沿着的场线对通道和体积的转换被限制的微扰领域。我们通过比较五种类型的固定模式失真特征中测得的响应分布预测来验证这种方法。我们推导出“树环”平场失真与天体测量和形状传递误差之间的定量联系，并将其与可测量的波长依赖性联系起来-作为辅助像素数据，可用于目录人口的管道分析。这种修正可以在DECam数据上进行测试，其中树轮平场失真和天体测量误差之间的相关性-以及它们的波段依赖性-已经在研究中。动态效应，包括亮胖现象的点源和通量依赖的平场固定模式功能接近使用扰动类似的形式引起的固定模式功能。这些反过来又提供了漂移系数预测，可以以简单的方式验证。一旦使用可用数据约束模型的三个参数，该模型就容易用于提供任意光分布的预测，其中免费提供内部一致的波长依赖性。
We describe the drift field in thick depleted silicon sensors as a superposition of a one-dimensional backdrop field and various three-dimensional perturbative contributions that are physically motivated. We compute trajectories for the conversions along the field lines toward the channel and into volumes where conversions are confined by the perturbative fields. We validate this approach by comparing predictions against measured response distributions seen in five types of fixed pattern distortion features. We derive a quantitative connection between ``tree ring" flat field distortions to astrometric and shape transfer errors with connections to measurable wavelength dependence — as ancillary pixel data that may be used in pipeline analysis for catalog population. Such corrections may be tested on DECam data, where correlations between tree ring flat field distortions and astrometric errors — together with their band dependence — are already under study. Dynamic effects, including the brighter-fatter phenomenon for point sources and the flux dependence of flat field fixed pattern features are approached using perturbations similar in form to those giving rise to the fixed pattern features. These in turn provide drift coefficient predictions that can be validated in a straightforward manner. Once the three parameters of the model are constrained using available data, the model is readily used to provide predictions for arbitrary photo-distributions with internally consistent wavelength dependence provided for free.