Accelerating the rate of discovery: toward high-repetition-rate HED science
Accelerating the rate of discovery: toward high-repetition-rate HED science
复制标题
加快发现速度：迈向高重复率 HED 科学
DOI：
--
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
C. Haefner
中科院分区：
文献类型：
--
作者：
Tengfei Ma;D. Mariscal;R. Anirudh;T. Bremer;B. Djordjević;T. Galvin;E. Grace;S. Herriot;S. Jacobs;B. Kailkhura;R. Hollinger;J. Kim;S. Liu;J. Ludwig;D. Neely;J. Rocca;G. Scott;R. A. Simpson;B. Spears;T. Spinka;K. Swanson;J. Thiagarajan;B. V. Van Essen;S. Wang;S. Wilks;G. Williams;J. Zhang;M. Herrmann;C. Haefner
随着能够以高重复率（HRR） （bbb10hz）工作的高强度短脉冲激光器在世界各地上线，它们所实现的高能量密度（HED）科学将经历彻底的范式转变。与目前每小时一枪的驾驶速度相比，这一速度提高了103倍，这意味着数据采集速度大大加快，实验次数更多，利用机器学习的能力也更强，因此有可能显著加速HED科学的发展。从不透明研究到二次源生成再到等离子体核物理学，广泛的HED实验将受益于相空间统计、精度和探索的提高。除了提高科学实验的执行速度外，HRR还允许通过与经验数据的密切耦合来增强仿真和建模，从而快速提供最佳实验。为了充分实现这样的HRR框架，必须开发和整合许多子系统，包括反馈激光控制回路、高通量目标和诊断、认知模拟、增强HED代码和高级数据分析。本文描述了一个集成的HRR激光实验HED系统的愿景，并概述了实现它的一些主要考虑和挑战。
As high-intensity short-pulse lasers that can operate at high-repetition-rate (HRR) (>10 Hz) come online around the world, the high energy density (HED) science they enable will experience a radical paradigm shift. The >103 increase in shot rate over today’s shot-per-hour drivers translates into dramatically faster data acquisition, more experiments, and the ability to exploit machine learning, and thus the potential to significantly accelerate the advancement of HED science. A wide range of HED experiments, from opacity investigations to secondary source generation to plasma nuclear physics, will benefit from the increased statistics, precision, and exploration of phase space. Besides increasing the rate at which scientific experiments can be performed, HRR also allows for the rapid delivery of optimal experiments supported by simulations and modeling augmented by close coupling to empirical data. To fully realize such an HRR framework, numerous subsystems must be developed and brought together, including feedback laser control loops, high-throughput targetry and diagnostics, cognitive simulation, enhanced HED codes, and advanced data analytics. This paper describes the vision for an integrated HRR laser experimental HED system and outlines some of the major considerations and challenges for realizing it.