发表机构
Centro de Estudios de Física del Cosmos de Aragón (CEFCA); Institute of Space Sciences (ICE, CSIC); Institut d´Estudis Espacials de Catalunya (IEEC)（阿拉贡宇宙物理研究中心; 空间科学研究所; 加泰罗尼亚空间研究学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对深空图像叠加时弥散伪影残留问题，Gnuastro 0.23 引入新运算符，利用所有曝光识别并掩蔽异常像素，提升图像质量。
AI 中文摘要
深空天文图像是通过将多次单独曝光进行叠加（也称为“堆叠”）而产生的。然而，单独曝光常常受到许多伪影的困扰，如果不加以适当去除，这些伪影会降低深图像的质量。大多数伪影在降噪/校准过程中被去除，但更弥散的伪影可能会残留。为解决此问题，Gnuastro 0.23 中的 Arithmetic 程序引入了以下新运算符：‘madclip-maskfilled’、‘sigclip-maskfilled’和‘collapse-*clip-fill-*’。它们能够通过使用所有曝光来找出每次曝光中的异常像素，并利用这些像素的连续性，成功掩蔽许多此类异常值。本研究笔记可通过 Maneage 在 Git 提交 bf3815a 上重现。
英文摘要
Deep astronomical images are produced by the coadding (also called "stacking") of several individual exposures. However, individual exposures are often plagued with many artifacts which will reduce the quality of the deep image if not properly removed. Most are removed during reduction/calibration, but the more diffuse may stay. To address this problem, the following new operators were introduced to the Arithmetic program in Gnuastro 0.23: 'madclip-maskfilled', 'sigclip-maskfilled' and 'collapse-*clip-fill-*'. They are able to mask many such outliers successfully by using all the exposures to find outlying pixels in each exposure and exploiting their contiguity. This research note is reproducible with Maneage, on the Git commit bf3815a.
CommentsTo appear in RNAAS. Reproducible source on Codeberg (https://codeberg.org/gnuastro/papers/src/branch/maskfilled), that is archived on Software Heritage (swh:1:dir:84092a4318c15846b51fe6124dac5ba47fd191b2) with supplements on Zenodo (https://doi.org/10.5281/zenodo.22676761)
