The Gravitational-wave Optical Transient Observer (GOTO) data pipeline and workflow for transient discovery
引力波光学瞬变观测者(GOTO)数据管道与瞬变发现工作流
J. D. Lyman, D. O'Neill, T. Killestein, D. Jarvis, A. Kumar, K. Ulaczyk, K. Ackley, P. Chote, M. J. Dyer, M. Pursiainen, D. Steeghs, B. Godson, M. Magee, J. R. Mullaney, B. Warwick, S. Belkin, D. K. Galloway, G. Ramsay, V. S. Dhillon, P. O'Brien, K. Noysena, R. Kotak, R. P. Breton, L. K. Nuttall, B. Gompertz, D. Pollacco, J. Casares, D. L. Coppejans, R. A. J. Eyles-Ferris, O. Graur, L. Kelsey, M. R. Kennedy, A. Levan, S. Littlefair, S. Mandhai, D. Mata Sánchez, S. Mattila, J. McCormac, S. Moran, C. Phillips, K. Pu, A. Sahu, M. Shrestha, E. Stanway, R. L. C. Starling, L. Vincetti, E. Wickens, K. Wiersema
AI总结 本文介绍GOTO望远镜阵列的低延迟数据管道与工作流,通过差分图像分析实现瞬变候选体的快速发现(快门关闭后约7分钟),并描述后续自动化与人工处理流程,满足即时发现、报告和表征早期瞬变的需求。
Comments Version accepted for publication in RAS Techniques & Instruments
详情
宽视场和高节奏巡天是天体物理瞬变(如超新星、千新星和潮汐瓦解事件,每个都与恒星系统的不同终结相关)发现和表征链中的第一步。引力波光学瞬变观测者(GOTO)是一个由32个40厘米单元望远镜组成的望远镜阵列,分布在两个几乎对跖的站点。它执行常规时域光学巡天,达到约20星等,此外还即时调度对外部多波长和多信使触发位置的后续观测。为了促进这些触发的光学对应体的及时恢复,以及常规巡天中偶然发现的天体物理瞬变,开发了一个低延迟数据管道和工作流。本文描述了该工作流的实现,评估了其提供的GOTO数据质量及其在即时瞬变恢复中的性能。利用差分图像分析来识别候选发现,该过程通常在望远镜快门关闭后约7分钟完成。我们进一步描述了这些候选体的后续处理——包括自动化和人工循环——包括向更广泛社区报告以及触发更详细的观测,重点关注即时的夜间内表征。该工作流满足了GOTO即时发现、报告和表征早期瞬变的需求。尽管如此,也指出了进一步发展和改进的领域。
Wide-field and high-cadence sky surveys are the first step in the chain of discovery and characterisation of astrophysical transients such as supernovae, kilonovae, and tidal disruption events, each linked to the varied demise of stellar systems. The Gravitational-wave Optical Transient Observer (GOTO) is a telescope array of thirty-two 40 cm unit telescopes split over two almost antipodal sites. It performs a regular time-domain sky-survey in the optical to ~20 mag in addition to immediate scheduling of follow-up observations at the locations of external multi-wavelength and -messenger triggers. To facilitate the timely recovery of optical counterparts to these triggers, as well as the presence of serendipitous discoveries of astrophysical transients in the regular sky-survey, a low-latency data pipeline and workflow was developed. The implementation of this workflow is described herein and the quality of GOTO data delivered by it assessed, alongside its performance for prompt transient recovery. Utilising difference image analysis to identify candidate discoveries, the process is typically complete ~7 minutes after shutter close on the telescope. We further describe later processing of these candidates -- both automated and human-in-the-loop -- including reporting to the wider community and the triggering of more detailed observations, with a focus on immediate, intra-night characterisation. The workflow is meeting the needs of GOTO to promptly discover, report and characterise infant transients. Nevertheless, areas for further development and improvements are also highlighted.