起源于球状星团中的非周期脉冲星
A Population of Non-Recycled Pulsars Orginating in Globular Clusters
摘要：
我们在Boyles等人（2011）最近工作的基础上，探索了球状星团中长周期、显然不可回收的恒星的神秘种群。这个人口是很难解释，如果它是通过典型的核心坍缩超新星形成的，导致许多作者援引电子捕获超新星。Boyles等人只研究了星团中的非循环星，而我们关注的是那些起源于星团，但由于出生时受到的撞击而逃到银河系的星。由电子俘获超新星引起的反冲的大小并不为人所知，所以我们探索了各种模型的反冲速度分布和人口的大小。最现实的模型是那些反冲速度<~ 10 km/s的模型，其中恒星的数量与星系团的光度成比例（作为星系团质量的代理）。这与其他对电子俘获超新星反冲速度的估计非常一致。我们模拟了一些大面积的脉冲星调查，以确定是否可以确定人口起源于集群的脉冲星是从正常的磁盘脉冲星分开。我们发现，可以使用的人口的空间和运动学特性，但只有当大量的historars被检测到。事实上，即使是最乐观的调查进行与未来的平方公里阵列可能会发现总人口的10%以下，因此，将这些识别为一个单独的群体的前景目前是穷人。
英文摘要：
We explore the enigmatic population of long-period, apparently non-recycled pulsars in globular clusters, building on recent work by Boyles et al (2011). This population is difficult to explain if it formed through typical core collapse supernovae, leading many authors to invoke electron capture supernovae. Where Boyles et al. dealt only with non-recycled pulsars in clusters, we focus on the pulsars that originated in clusters but then escaped into the field of the Galaxy due to the kicks they receive at birth. The magnitude of the kick induced by electron capture supernovae is not well known, so we explore various models for the kick velocity distribution and size of the population. The most realistic models are those where the kick velocity is <~ 10 km/s and where the number of pulsars scales with the luminosity of the cluster (as a proxy for cluster mass). This is in good agreement with other estimates of the electron capture supernovae kick velocity. We simulate a number of large-area pulsar surveys to determine if a population of pulsars originating in clusters could be identified as being separate from normal disk pulsars. We find that the spatial and kinematical properties of the population could be used, but only if large numbers of pulsars are detected. In fact, even the most optimistic surveys carried out with the future Square Kilometer Array are likely to detect < 10% of the total population, so the prospects for identifying these as a separate group of pulsars are presently poor.
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。
