Optimizing Convolution Direction and Template Selection for Difference Image Analysis

Rodrigo Angulo

doi:10.3847/1538-4365/adf05b

2025-09-02

DOI：10.3847/1538-4365/adf05b

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摘要

En 中文

差异图像分析（DIA）是研究时变现象的有力工具，已被许多时域巡天项目采用。大多数DIA算法涉及匹配科学图像和模板图像之间空间变化的点扩散函数（PSF）形状，然后对其中一幅图像进行卷积以匹配另一幅图像。选择错误卷积图像会导致最终差异图像中出现最大的伪影来源之一。我们引入了一种定量指标来确定最优卷积方向，该方向不仅取决于由其FWHM测量的图像锐度，还取决于其曝光深度。通过此指标，最优卷积方向可以预先确定，仅取决于图像的FWHM和深度。这不仅简化了流程，还使其更加稳健，并减少因卷积方向选择错误而生成次优差异图像的可能性。此外，针对大量图像，我们基于此指标定义了一个性能指标（Figure-of-Merit），它能够对图像列表进行排序并确定最适合用作模板的图像，从而简化并自动化数据缩减流程。

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Astrophysical Journal Supplement Series

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8.5

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5.7K

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ipac, mail code 100-22, caltech, 1200 e. california boulevard, pasadena, ca 91125, usa

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space telescope science institute, 3700 san martin drive, baltimore, md 21218, usa

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144

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carnegie institution for science

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168

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