论文标题
部分可观测时空混沌系统的无模型预测
Dark Matter Accounts for Perturbation in the GD-1 Stellar Stream
论文作者
论文摘要
储层计算是预测湍流的有力工具，其简单的架构具有处理大型系统的计算效率。然而，其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间，然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用，该系统模拟了湍流的若干特征。我们表明，使用径向基函数作为非线性投影器，即使只有部分观测并且不知道控制方程，也能稳健地捕捉复杂的系统非线性。最后，我们表明，当测量稀疏、不完整且带有噪声，甚至控制方程变得不准确时，我们的网络仍然可以产生相当准确的预测，从而为实际湍流系统的无模型预测铺平了道路。
The longest recognized stellar stream in the Milky Way Galaxy has an expanse of over more than half the north sky. There was a physical disturbance within the stream, 500 million years ago, which could have been the scar of a dark matter collision. Due to its proximity to the galactic center, the GD-1 stellar stream can act as an antenna for gravitational perturbations. In 2018, a significant gap in GD-1 was discovered due to perturbation. A stream gap occurs when a massive object collides with the stellar stream. Based on the chasm location and width, we can guess when and where the impact occurred. Using globular cluster sky coordinates and simulated galactocentric distributions, we calculated how close each globular cluster came to the GD-1 stream. This would be the first time a globular cluster has come close enough to the GD-1 stream to impact another object. Clusters, on the other hand, rarely approach GD-1, indicating that it was struck by something more exotic, like a clump of dark matter, when discovered. A simulation and theoretical model were created to better understand the GD-1 stellar stream behavior. These details can be used to map the large-scale distribution of dark matter in our galaxy as well as the small-scale structure of dark matter in the host galaxies of the streams. Examination of stellar streams and detection of subhalos will not only confirm the presence of dark matter but also reveal information about its particle nature.
