发表机构
Scuola Internazionale Superiore di Studi Avanzati; INAF - Istituto di Radioastronomia - Italian ALMA Regional Centre; Institute for Fundamental Physics of the Universe (IFPU); INAF - Istituto di Radioastronomia; Istituto Nazionale Fisica Nucleare (INFN), Sezione di Trieste（高等师范学校; 国家天体物理研究所射电天文台意大利ALMA区域中心; 宇宙基础物理研究所; 国家天体物理研究所射电天文台; 国家核物理研究所的里雅斯特分部）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究提出优化版ViSta方法，可在傅里叶域对射电至亚毫米波段干涉测量数据的可见度进行堆叠，提升弱源探测的信噪比，适配SKA时代数据处理需求，可利用海量存档数据。
AI 中文摘要
我们提出了ViSta的优化版本，ViSta是一种可见度域堆叠方法，可结合从射电到亚毫米波段的傅里叶域干涉测量观测。通过直接堆叠可见度并将其转换为静止帧，ViSta可增强信号、抑制噪声，并通过扩展的uv覆盖范围改善图像重建。当单个源过暗无法探测时，ViSta的性能优于图像堆叠，在低信号和延展区域实现更高的信噪比（SNR）。这一新优化版本配备了C++/OpenMP内核，取代了CASA中要求较高的函数，可实现GPU加速，同时将内存使用量和中间数据产品降至最低。该方法灵活性极强，无论阵列配置、光谱设置或望远镜类型如何，均可进行堆叠。在SKA时代，由于可见度不会被常规保存，ViSta有助于评估图像平面转换过程中丢失的信息，并利用仍存储在干涉测量档案中的海量数据。
英文摘要
We present the optimized version of ViSta, a visibility-domain stacking method that combines interferometric observations in the Fourier domain from radio to sub-millimeter wavelengths. By stacking visibilities directly and transforming them into the rest frame, ViSta enhances the signal, suppresses noise, and improves image reconstruction through extended uv-coverage. ViSta outperforms image stacking when individual sources are too faint to detect, achieving higher SNR in the low-signal and extended regime. This new optimized version features a C++/OpenMP kernel which replaces CASA demanding functions, enabling GPU acceleration while minimising memory usage and intermediate data products. The method is highly flexible, allowing stacking regardless of array configuration, spectral setup, or telescope. In the SKA era, where visibilities will not be routinely preserved, ViSta helps in assessing the information lost in the image-plane transition and in exploiting the vast amount of data still stored in interferometric archives.
Comments12 pages, 2 figures, published in Proc. SPIE 14153 (Radio Telescopes, Technologies, and Methods)
Journal refProc. SPIE 14153, Radio Telescopes, Technologies, and Methods, 141531X (2026)
