发表机构
SETI Institute; Steward Observatory, University of Arizona; Breakthrough Listen, University of California, Berkeley; Berkeley SETI Research Center, UC Berkeley（SETI研究所; 亚利桑那大学斯图尔德天文台; 加州大学伯克利分校突破聆听计划; 加州大学伯克利分校伯克利SETI研究中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
该研究开发了用于艾伦望远镜阵列的GPU加速干涉成像与色散量搜索流水线，集成CyberEther框架，在测试中成功恢复注入脉冲源，核心处理速度满足实时要求。
AI 中文摘要
传统的技术特征和瞬变搜索通常基于波束形成的时频乘积进行。干涉成像增加了空间背景，并允许在多个图像像素上同时进行时域搜索。我们报告了一种用于艾伦望远镜阵列（ATA）相关后UVH5可见度数据的GPU加速干涉成像和图像域色散量（DM）搜索流水线的开发和测试，该流水线与CyberEther流式传输框架集成，以重放记录的可见度数据并朝着实时操作迈进。该流水线从相关可见度数据形成斯托克斯I脏图像，将四分位距缓解（IQRM）标志纳入成像权重，对覆盖287.5兆赫的48个频率子带进行成像，从每个子带和像素中减去整个观测的时间均值，应用基于IQRM的子带掩蔽，并使用短历史图像环形缓冲区执行盲试DM搜索。在一个受控的10分钟三频谱窗口测试观测中，包含周期性色散脉冲注入（DM约150 pc cm^-3），该流水线在相位中心恢复了注入源，最佳拟合DM=150 pc cm^-3，单个色散脉冲的中位图像平面信噪比约为52。当集成到CyberEther中时，核心处理每个积分大约需要63毫秒，而本机积分时间约为98毫秒，表明核心科学处理操作可以在可用的积分时间内完成。目前的实现处理记录的可见度数据，并依赖于在整个观测中预先计算的时间均值和MAD噪声估计。对于实时操作，这些量将需要从截至当前积分可用的数据中估计。
英文摘要
Traditional technosignature and transient searches commonly operate on beamformed time--frequency products. Interferometric imaging adds spatial context and allows time-domain searches to be performed across many image pixels simultaneously. We report the development and testing of a GPU-accelerated interferometric imaging and image-domain dispersion-measure (DM) search pipeline for Allen Telescope Array (ATA) post-correlation UVH5 visibility data, integrated with the CyberEther streaming framework to replay recorded visibility data and work toward real-time operation. The pipeline forms Stokes-I dirty images from correlated visibilities, incorporates Inter-Quartile Range Mitigation (IQRM) flags into the imaging weights, images 48 frequency subbands spanning 287.5\,MHz, subtracts a temporal mean over the full observation from each subband and pixel, applies IQRM-informed subband masking, and performs a blind trial-DM search using a short-history image ring buffer. On a controlled 10-minute three-spectral-window test observation containing a periodic dispersed pulsed injection (DM\,$\approx$\,150\,pc\,cm$^{-3}$), the pipeline recovers the injected source at the phase centre with a best-fit DM\,$=$\,150\,pc\,cm$^{-3}$, with individual dispersed pulses reaching a median image-plane S/N of $\approx$52. When integrated into CyberEther, the core processing requires approximately 63\,ms per integration compared with a native integration time of approximately 98\,ms, demonstrating that the core science-processing operations can be completed within the available integration time. The present implementation operates on recorded visibility data and relies on a temporal mean and MAD noise estimate precomputed over the full observation. For live operation, these quantities will instead need to be estimated from data available up to the current integration.
Comments7 pages, 4 figures
