论文标题
追踪与丽莎·泰吉网络的天体物理黑洞种子和原始黑洞
Tracing Astrophysical Black Hole Seeds and Primordial Black Holes with LISA-Taiji Network
论文作者
论文摘要
在这项工作中，我们讨论了丽莎和太极联合网络在探索两种黑洞形成机制方面可以提供的改进。对于天体物理的起源，我们考虑了浅种子和沉重的种子情景，并相应地产生种群。我们发现，关节网络有可能在15 <z <20的范围内观察生长种子，而单个探测器几乎看不到，这会揭示在光播种机构上。对于重种子，关节网络仅改善信噪比。对于原始起源，我们以z> 20的速度和丽莎和联合网络的检测率计算事件速率。联合网络将丽莎的地平线扩展到较低的质量末端，在该质量率很高的情况下，我们有更好的机会与关节网络观察原始黑洞。我们还使用LISA和联合网络的Fisher矩阵估算了参数，并发现关节网络可显着提高估计值。
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.
