UPdec-Webb: A Data Set for Coaddition of JWST NIRCam Images

Lei Wang,Huanyuan Shan， Li-Yan Zhu,Xi Kang

ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES（2025）

Chinese Acad Sci | Univ Chinese Acad Sci | Coll Elect Informat & Opt Engn | Zhejiang Univ

Cited 0|Views2

Abstract

We present the application of the image coaddition algorithm, upsampling and point-spread function (PSF) deconvolution coaddition (UPDC), for stacking multiple exposure images captured by the James Webb Space Telescope (JWST) Near-Infrared Camera. By addressing the PSF effect, UPDC provides visually enhanced and sharper images. Furthermore, the antialiasing and superresolution capabilities of UPDC make it easier to deblend sources overlapped on images, yielding a higher accuracy of aperture photometry. We apply this algorithm to the SMACS J0723 imaging data. Comparative analysis with the Drizzle algorithm demonstrates significant improvements in detecting faint sources, achieving accurate photometry, and effectively deblending (superresolution) closely packed sources. As a result, we have newly detected a pair of close binary stars that were previously unresolvable in the original exposures or the Drizzled image. These improvements significantly benefit various scientific projects conducted by JWST. The resulting data set, named “UPdec-Webb,” can be accessed through the official website of the Chinese Virtual Observatory.

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Key words

Deconvolution,High angular resolution,Space observatories,Near infrared astronomy,Galaxy clusters

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【要点】：本文提出了一种新的图像叠加算法UPDC，用于处理詹姆斯·韦伯太空望远镜近红外相机拍摄的图像，提高了 faint 源的检测能力、测光的准确性和 source deblending 的效率。

【方法】：作者采用upsampling和点扩散函数（PSF）反卷积的图像叠加方法（UPDC），通过解决PSF效应来增强图像的视觉效果和锐度。

【实验】：作者将UPDC算法应用于SMACS J0723成像数据，并与Drizzle算法进行了比较分析，结果证明了UPDC算法在检测暗弱源、精确测光和有效分解紧密源方面有显著优势，并且新发现了之前无法分辨的一对紧密双星。数据集“UPdec-Webb”可通过中国虚拟天文台官方网站访问。