论文标题

GWOPS:VO-技术驱动的工具,用于搜索引力波事件的电磁对应物

GWOPS: A VO-technology Driven Tool to Search for the Electromagnetic Counterpart of Gravitational Wave Event

论文作者

Xu, Yunfei, Xu, Dong, Cui, Chenzhou, Fan, Dongwei, Zhu, Zipei, Yu, Bangyao, Li, Changhua, Han, Jun, Mi, Linying, Li, Shanshan, He, Boliang, Tao, Yihan, Yang, Hanxi, Yang, Sisi

论文摘要

引力波(GW)的电磁(EM)对应物的搜索和后续观察是GW宇宙学的当前热门话题。由于该阶段GW观测设施的准确性限制,我们只能为GW事件获得一个粗糙的天空定位区域,该地区的典型区域在200至1500平方英尺之间。由于GW事件发生在星系中或附近,因此将观测目标限制为星系可以大大加速寻找EM对应物。因此,如何在如此庞大的GW定位区域中有效选择主机的星系候选者,如何安排观察顺序以及如何从观察数据中有效识别GW源是需要解决的问题。国际虚拟天文台联盟已制定了一系列的技术标准,用于数据检索,互操作性和可视化。根据语音技术的应用,我们构建了GW后续观察计划系统(GWOPS)。它由三个部分组成:一条管道,以选择GW的主机候选者并为后续观察排序优先级,标识模块以从后续观察数据中找到瞬态,以及可视化模块以显示与GW相关的数据。 GWOP可以快速响应GW事件。使用GWOPS,可以有效地协调诸如后续观察计划,数据存储,数据可视化和瞬态识别之类的操作,这将促进GWS EM对应物的成功搜索率。

The search and follow-up observation of electromagnetic (EM) counterparts of gravitational waves (GW) is a current hot topic of GW cosmology. Due to the limitation of the accuracy of the GW observation facility at this stage, we can only get a rough sky-localization region for the GW event, and the typical area of the region is between 200 and 1500 square degrees. Since GW events occur in or near galaxies, limiting the observation target to galaxies can significantly speedup searching for EM counterparts. Therefore, how to efficiently select host galaxy candidates in such a large GW localization region, how to arrange the observation sequence, and how to efficiently identify the GW source from observational data are the problems that need to be solved. International Virtual Observatory Alliance has developed a series of technical standards for data retrieval, interoperability and visualization. Based on the application of VO technologies, we construct the GW follow-up Observation Planning System (GWOPS). It consists of three parts: a pipeline to select host candidates of GW and sort their priorities for follow-up observation, an identification module to find the transient from follow-up observation data, and a visualization module to display GW-related data. GWOPS can rapidly respond to GW events. With GWOPS, the operations such as follow-up observation planning, data storage, data visualization, and transient identification can be efficiently coordinated, which will promote the success searching rate for GWs EM counterparts.

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