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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Lei Wang, Huanyuan Shan, Lin Nie, Cheng Cheng, Fang-Ting Yuan, Qifan Cui, Guoliang Li, Yushan Xie, Dezi Liu, Yao Liu, Min Fang, Nan Li, Peng Jia, Ran Li, Fengshan Liu, Yiping Shu, Chang Jiang, Cheng-Liang Wei, Han Qu, Wen-Wen Zheng, Li-Yan Zhu, Xi Kang
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Online Access:https://doi.org/10.3847/1538-4365/ad9566
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0067-0049