论文标题
从原子物理学到大气上的化学，再到宇宙学：“激光光度比星”到校准主要观测值的望远镜
From atomic physics, to upper-atmospheric chemistry, to cosmology: A "laser photometric ratio star" to calibrate telescopes at major observatories
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 expansion of our Universe is accelerating, due to dark energy. But the nature of dark energy has been a mystery since its discovery at the end of the past century. In Research Highlight https://doi.org/10.1002/ntls.20220003 , Justin Albert, Dmitry Budker and Hossein Sadeghpour provide an overview of how a laser photometric ratio star (a novel light source generated by laser excitation of the Earth's upper-atmospheric sodium layer, which will radiate equally brightly at wavelengths of 589 nm and 820 nm) can help us precisely calibrate telescopes in order to understand the nature of dark energy.
