arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2312.08802astro-ph.IMastro-ph.HE
收藏

使用Astro-COLIBRI通过成像大气切伦科夫望远镜(IACTs)开展引力波警报的后续观测

Follow-up of gravitational waves alerts with IACTs using Astro-COLIBRI

Mathieu de Bony de Lavergne, Halim Ashkar, Atilla Kaan Alkan, Jayson Mourier, Patrick Reichherzer, Fabian Schüssler, Monica Seglar-Arroyo

AI总结:

本研究介绍了将引力波后续观测软件tilepy集成到Astro-COLIBRI平台的工作,该平台可优化IACTs的引力波警报观测计划,提升电磁对应体探测概率,还能提供多波段观测背景概览。

摘要:

过去,引力波警报的后续观测一直颇具挑战性,原因在于其定位的不确定性极大,远超过大多数仪器的视场范围。智能指向策略有助于提升观测到致密双天体并合事件真实位置的概率,进而探测到其电磁对应体。为解决这一问题,研究人员开发了名为tilepy的软件,该软件已被H.E.S.S.合作组成功用于O2和O3运行期间搜寻引力波的甚高能伽马射线辐射。tilepy中实现的优化平铺策略,使H.E.S.S.成为首个指向GW 170817真实位置的地面设施。本文介绍了该软件用于计算最优观测计划的核心策略。Astro-COLIBRI平台可用于规划包括引力波警报在内的各类暂现现象的后续观测。将tilepy集成到该工具中,可便捷地规划和可视化引力波警报的后续观测,帮助天文学家最大化探测到对应体的概率。该平台还通过整合并可视化来自不同天文台的信息与引力波警报,提供多波段观测背景的概览。

英文摘要:

Follow-up of gravitational wave alerts has proven to be challenging in the past due to the large uncertainty on the localisation, much larger than the field of view of most instruments. A smart pointing strategy helps to increase the chance of observing the true position of the underlying compact binary merger event and so to detect an electromagnetic counterpart. To tackle this, a software called tilepy has been developed and was successfully used by the H.E.S.S. collaboration to search for very-high energy gamma-ray emission from GWs during the O2 and O3 runs. The optimised tiling strategies implemented in tilepy allowed H.E.S.S. to be the first ground facility to point toward the true position of GW 170817. Here we present the main strategy used by the software to compute an optimal observation schedule. The Astro-COLIBRI platform helps to plan follow-up of a large range of transient phenomena including GW alerts. The integration of tilepy in this tool allow for an easy planning and visualisation of of follow-up of gravitational wave alert helping the astronomer to maximise the chance of detecting a counterpart. The platform also provides an overview of the multi-wavelength context by grouping and visualising information coming from different observatories alongside GW alerts.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑