saprEMo：一种预测勘测中电磁瞬变探测的简化算法
saprEMo: a simplified algorithm for predicting detections of electromagnetic transients in surveys
摘要：
GW 170817的多波长探测开创了多信使天文学。下一步是解释来自引力波源的观测结果。我们介绍saprEMo，一种旨在预测电磁信号数量的工具，其特征在于特定的光变曲线和光谱，预计在一个特定的天空调查。通过查看过去的调查，saprEMo允许我们限制电磁发射或事件率的模型。将saprEMo应用于拟议的天文学任务/观测活动提供了一个关于其科学影响的视角，并测试了采用不同观测战略的效果。对于我们的第一个案例研究，我们采用了一个模型的自旋下降动力的X射线辐射预测的二元中子星合并产生一个长寿的中子星。我们将saprEMo应用于XMM-牛顿和钱德拉收集的数据，并在任务概念THESEUS的观测过程中进行$10^4$。我们证明了我们的发射模型和双中子星合并率意味着在XMM-牛顿星表中存在一些信号。我们还表明，由鲍尔等人发现的新的X射线瞬变类。在钱德拉深场南部是勉强符合预期的速率。最后，通过研究任务概念THESEUS，我们展示了在X射线瞬变搜索中大得多的视场的实质性影响。
英文摘要：
The multi-wavelength detection of GW170817 has inaugurated multi-messenger astronomy. The next step consists in interpreting observations coming from population of gravitational wave sources. We introduce saprEMo, a tool aimed at predicting the number of electromagnetic signals characterised by a specific light curve and spectrum, expected in a particular sky survey. By looking at past surveys, saprEMo allows us to constrain models of electromagnetic emission or event rates. Applying saprEMo to proposed astronomical missions/observing campaigns provides a perspective on their scientific impact and tests the effect of adopting different observational strategies. For our first case study, we adopt a model of spindown-powered X-ray emission predicted for a binary neutron star merger producing a long-lived neutron star. We apply saprEMo on data collected by XMM-Newton and Chandra and during $10^4$ s of observations with the mission concept THESEUS. We demonstrate that our emission model and binary neutron star merger rate imply the presence of some signals in the XMM-Newton catalogs. We also show that the new class of X-ray transients found by Bauer et al. in the Chandra Deep Field-South is marginally consistent with the expected rate. Finally, by studying the mission concept THESEUS, we demonstrate the substantial impact of a much larger field of view in searches of X-ray transients.
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。
