标题： 通过LISA-Taiji网络追踪天体物理黑洞种子和原初黑洞 显示英文标题

标题： Tracing Astrophysical Black Hole Seeds and Primordial Black Holes with LISA-Taiji Network

摘要： 在本工作中，我们讨论了LISA和太极联合网络在探索两种黑洞形成机制方面的改进。对于天体物理起源，我们考虑了轻种子和重种子情景，并相应地生成种群。我们发现，联合网络能够在15 < z < 20范围内观测到增长的轻种子，而单个探测器几乎无法看到，这将有助于理解轻种子机制。对于重种子，联合网络仅提高了信噪比。对于原初起源，我们计算了z > 20处的事件率以及LISA和联合网络的探测率。联合网络扩大了LISA向低质量端的视野，该区域事件率较高，因此我们通过联合网络更好地观测原初黑洞的机会更大。我们还使用LISA和联合网络的Fisher矩阵估计参数，并发现联合网络显著提高了估计效果。 显示英文摘要

摘要： In this work, we discuss the improvement that the joint network of LISA and Taiji could provide on exploring two kinds of black hole formation mechanisms. For astrophysical origin, we consider light seed and heavy seed scenarios, and generate populations accordingly. We find that the joint network has the potential to observe growing light seeds in the range 15 < z < 20, while single detector can hardly see, which would shed light on the light seeding mechanism. For the heavy seeds, the joint network only improves the signal-to-noise ratio. For primordial origin, we calculate the event rate at z > 20 and detection rates of LISA and the joint network. The joint network expands LISA's horizon towards lower mass end, where the event rate is high, so we have better chance observing primordial black holes with the joint network. We also estimate the parameters using Fisher matrices of LISA and the joint network, and find that the joint network significantly improves the estimation.