论文标题
部分可观测时空混沌系统的无模型预测
Belle II grid-based user analysis
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 Belle II experiment at the SuperKEKB accelerator is a next-generation B-factory aiming to collect 50 ab$^{-1}$, about 50 times the data collected at Belle, to study rare processes and make precision measurements that may expose physics beyond the Standard Model. Corresponding to roughly 100 PB of storage for raw data, plus dozens of PBs per year for Monte Carlo (MC) and analysis data, these massive samples require careful planning for the storage, processing, and analysis of data. This white paper notes some of the challenges that await grid-based user-analysis at the intensity frontier and invites further discussion and exploration to improve the tools and techniques necessary to leverage the massive data samples that will be available at Belle II as part of the Snowmass process.
