Swift gives a new BAT-GLIMPSE: Gamma-ray Localization using Imaging and Mosaic techniques for Pointing and Slew Epochs
SWIFT/BAT-GLIMPSE:指向与旋转时段的伽马射线成像定位
The Burst Alert Telescope (BAT) onboard the Neil Gehrels Swift Observatory is capable of localizing gamma-ray transients with arcminute precision, enabling rapid multi-wavelength follow-up. However, onboard triggering is disabled during spacecraft slews, preventing the autonomous detection and localization of transients occurring during these intervals. We present here BAT-GLIMPSE, a fully autonomous, open-source pipeline for the low-latency localization of transient gamma-ray sources in Swift-BAT data. Making use of the BatAnalysis package, the pipeline combines coded-mask imaging and mosaic techniques, automatically selecting the appropriate analysis according to the spacecraft attitude and enabling localization searches during both pointing observations and spacecraft slews. We validate the performance of BAT-GLIMPSE on a sample of 66 GRBs reported in GUANO circulars. The pipeline successfully recovers arcminute positions for 43 events, consistent with published localizations, with typical offsets of $\lesssim5$ arcminutes. Approximately $88\%$ of the GRBs occurring during spacecraft slews are recovered through imaging or mosaic analyses. During the fourth LIGO-Virgo-KAGRA observing run, the role of BAT-GLIMPSE was crucial in the search for gamma-ray counterparts of gravitational waves, particularly in response to pre-merger alerts which triggered the slew of the Swift spacecraft with extremely low latency. Operating synergistically with NITRATES, BAT-GLIMPSE fills the critical gap left by slew intervals and, together, the two pipelines are estimated to double the onboard arcminute-localization rate of Swift-BAT, unlocking the full potential of the Swift mission for time-domain and multi-messenger astrophysics.
展开 ▾首次系统性解决 Swift 旋转期间无法自主定位的难题,通过自动选择成像/拼接方法,在 88% 的旋转事件中恢复弧分位置;与 NITRATES 协作可令 BAT 弧分定位率翻倍,已用于 O4 引力波预警实时响应。
Swift BAT 虽然具备弧分定位能力,但在航天器旋转(slew)期间无法触发。Copete 2012 首次探索了利用旋转数据进行地面定位的可行性。随后,GUANO 系统 Tohuvavohu+ 2020 使得旋转期间的 TTE 数据得以获取,而 NITRATES 管道 DeLaunay+ 2022 通过最大似然方法提升了灵敏度,但仍局限于指向模式。BAT-GLIMPSE 基于 BatAnalysis 包 Parsotan+ 2025 实现了自动化的成像与拼接搜索,首次系统性地填补了旋转定位的空白。未来,与 NITRATES 协同有望将 Swift-BAT 的弧分定位率提升约一倍,并已应用于 ULTRA-Swift 计划以响应引力波预警,其方法体系可推广到其他编码掩模望远镜,为时域和多信使天文学提供持续支持。