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Correcting the inherent distortion in luminescence images of silicon solar cells

机译:校正硅太阳能电池的发光图像中的固有畸变

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Luminescence imaging of Silicon solar cells is typically performed with a silicon CCD, which is a poor absorber of silicon luminescence (900-1300 nm). This leads to a phenomenon referred to as photon smearing in the CCD, where a photon incident on one pixel may be absorbed in another. This makes the image blurry and quantitative analysis of this data inaccurate. Also resolution, contrast, and sharpness of the image are reduced at features such as grain boundaries, and sample edges. An already established method of recovering the original luminescence signal incident on the CCD is to deconvolve a Point Spread Function (PSF) with the resultant image. This paper focuses on a novel method for determining the PSF from a measurement of the Edge Spread Function, which greatly increases the Signal to Noise ratio over methods where the PSF is measured directly. The determined PSF and its application to luminescence images, is compared and contrasted with previously published PSF determination methods.
机译:硅太阳能电池的发光成像通常使用硅CCD进行,硅CCD是硅发光(900-1300 nm)的不良吸收体。这会导致在CCD中被称为光子拖尾的现象,其中入射在一个像素上的光子可能会在另一个像素中被吸收。这使得图像模糊,并且该数据的定量分析不准确。同样,在诸如晶界和样品边缘的特征处,图像的分辨率,对比度和清晰度也降低了。恢复入射在CCD上的原始发光信号的一种已经建立的方法是对点扩展函数(PSF)与结果图像进行卷积。本文重点介绍一种通过边缘扩展函数的测量确定PSF的新颖方法,与直接测量PSF的方法相比,该方法大大提高了信噪比。将确定的PSF及其在发光图像中的应用与以前发布的PSF确定方法进行比较和对比。

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