论文标题
部分可观测时空混沌系统的无模型预测
Fermi Bubbles in Scalar Field Dark Matter halos
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。
In recent times, the Scalar Field Dark Matter (SFDM) model (also called Fuzzy, Wave, Ultralight dark matter model) has received much attention due to its success in describing dark matter on both cosmological and galactic scales. Several challenges of the Cold Dark Matter (CDM) model can be explained very easily and naturally by the SFDM model. Two of these challenges are to describe the anomalous trajectories of satellite galaxies called the Vast Polar Structure (VPOS) and to explain the Fermi Bubbles (FB) observed in our galaxy. In Phys.Rev.D103(2021)083535 an alternative explanation for VPOS was shown using the SFDM excited states, explaining the anomalous trajectories in a natural and simple way. In this work we use the same dark matter structure to show that these excited states of the SFDM can provide a very simple and natural explanation for the FB, assuming that the SFDM is a kind of dark boson. If this assumption is correct, we should see FB in several more galaxies and continue to see gamma-ray events at higher energies, these observations would take place in the near future and could be crucial to the ultimate answer to the nature of dark matter.
