论文标题
DESGW搜索与Ligo/处女座重力波二进制中子合并候选S190510G的电磁对应物
A DESGW Search for the Electromagnetic Counterpart to the LIGO/Virgo Gravitational Wave Binary Neutron Star Merger Candidate S190510g
论文作者
论文摘要
我们通过使用暗能量摄像头(DECAM)搜索了Ligo/Pirgo事件S190510G的电磁对应物的结果。 S190510G是在227 $ \ pm $ 92 MPC距离检测到的中等显着性的二进制中子星(BNS)合并候选者,并以50 \%(90 \%)的位置定位在31(1166)方形的面积。虽然此事件后来在事件发生后30小时内被归类为本质上的非胃物理,但我们的短延迟搜索和发现管道确定了11个候选者,所有这些候选者似乎与其他工具的离线分析和光谱后的超新星一致。后来对图像进行重新处理,可以恢复6个候选人。此外,我们在DECAM观察条件下(例如,观察,暴露时间)对模拟的Kilonovae和Supernovae实施了候选选择程序,目的是量化我们的搜索效率并就未来类似事件的观察策略做出明智的决定。这是BNS的第一次搜索,用于采用全面的基于模拟的效率研究。我们发现,使用当前的后续策略,假设我们有GW170817样的Kilonova,则需要进行19个与S190510G类似的事件,使我们有99 \%的机会检测光学对应物。我们进一步得出结论,观察计划的优化(应该包括对更深层图像而不是多种颜色信息的偏爱)可能导致发现的随访总数减少1.5倍。
We present the results from a search for the electromagnetic counterpart of the LIGO/Virgo event S190510g using the Dark Energy Camera (DECam). S190510g is a binary neutron star (BNS) merger candidate of moderate significance detected at a distance of 227$\pm$92 Mpc and localized within an area of 31 (1166) square degrees at 50\% (90\%) confidence. While this event was later classified as likely non-astrophysical in nature within 30 hours of the event, our short latency search and discovery pipeline identified 11 counterpart candidates, all of which appear consistent with supernovae following offline analysis and spectroscopy by other instruments. Later reprocessing of the images enabled the recovery of 6 more candidates. Additionally, we implement our candidate selection procedure on simulated kilonovae and supernovae under DECam observing conditions (e.g., seeing, exposure time) with the intent of quantifying our search efficiency and making informed decisions on observing strategy for future similar events. This is the first BNS counterpart search to employ a comprehensive simulation-based efficiency study. We find that using the current follow-up strategy, there would need to be 19 events similar to S190510g for us to have a 99\% chance of detecting an optical counterpart, assuming a GW170817-like kilonova. We further conclude that optimization of observing plans, which should include preference for deeper images over multiple color information, could result in up to a factor of 1.5 reduction in the total number of followups needed for discovery.